From d309e694a053a157f3c7ff9777d74ed262f782b8 Mon Sep 17 00:00:00 2001 From: heatingma Date: Fri, 18 Oct 2024 15:21:42 +0800 Subject: [PATCH 1/9] Fix bugs for MIS --- ml4co_kit/solver/mis/base.py | 13 ++++++++++--- ml4co_kit/utils/mis_utils.py | 16 ++++++++++------ 2 files changed, 20 insertions(+), 9 deletions(-) diff --git a/ml4co_kit/solver/mis/base.py b/ml4co_kit/solver/mis/base.py index 191351c..47150e6 100644 --- a/ml4co_kit/solver/mis/base.py +++ b/ml4co_kit/solver/mis/base.py @@ -12,7 +12,7 @@ def __init__(self, solver_type: str = None) -> None: self.solver_type = solver_type self.weighted = None self.time_limit = 60.0 - self.graph_data = list() + self.graph_data: List[MISGraphData] = list() def check_edge_index_not_none(self): message = ( @@ -386,8 +386,15 @@ def to_gpickle_result_folder( # graph_data -> nx.Graph graph: MISGraphData = self.graph_data[idx] - egde_index = graph.edge_index - nx_graph = nx.from_edgelist(egde_index.T) + edge_index = graph.edge_index + if not graph.self_loop: + self_loop: np.ndarray = np.arange(graph.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edge_index = np.concatenate([self_loop, edge_index.T], axis=0) + nx_graph: nx.Graph = nx.from_edgelist(edge_index) + nx_graph = nx_graph.remove_edges_from(nx.selfloop_edges(nx_graph)) + else: + nx_graph = nx.from_edgelist(edge_index.T) # to pickle file with open(save_path, "wb") as f: diff --git a/ml4co_kit/utils/mis_utils.py b/ml4co_kit/utils/mis_utils.py index b76d70c..16acea7 100644 --- a/ml4co_kit/utils/mis_utils.py +++ b/ml4co_kit/utils/mis_utils.py @@ -197,7 +197,8 @@ def __init__(self): self.ref_nodes_label: np.ndarray = None self.sel_nodes_num: np.ndarray = None self.ref_sel_nodes_num: np.ndarray = None - + self.self_loop = None + def check_edge_index(self): if self.edge_index is not None: shape = self.edge_index.shape @@ -219,14 +220,15 @@ def check_nodes_label(self, ref: bool): ) raise ValueError(message) else: - self.nodes_num = len(self.nodes_label) + self.nodes_num = len(nodes_label) def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop return super().from_adj_martix( adj_matrix=adj_matrix, zero_or_one="one", type="zero-one", - self_loop=self_loop + self_loop=self.self_loop ) def from_gpickle( @@ -247,9 +249,11 @@ def from_gpickle( # edges edges = np.array(graph.edges, dtype=np.int64) edges = np.concatenate([edges, edges[:, ::-1]], axis=0) - if self_loop: - self_loop = np.arange(self.nodes_num).reshape(-1, 1).repeat(2, axis=1) - edges = np.concatenate([edges, self_loop], axis=0) + self.self_loop = self_loop + if self.self_loop: + self_loop: np.ndarray = np.arange(self.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edges = np.concatenate([self_loop, edges], axis=0) edges = edges.T # use ``from_data`` From 4901be10b9624f2844cfd2df7fb154bf674a7479 Mon Sep 17 00:00:00 2001 From: Wenzheng <2439906687@qq.com> Date: Fri, 25 Oct 2024 21:42:39 +0800 Subject: [PATCH 2/9] update for MVC & MCl & MC --- ml4co_kit/__init__.py | 4 +- ml4co_kit/learning/train.py | 10 +- ml4co_kit/solver/__init__.py | 6 +- ml4co_kit/solver/mc/base.py | 484 +++++++++++++++++++++++++++++++++++ ml4co_kit/solver/mcl/base.py | 484 +++++++++++++++++++++++++++++++++++ ml4co_kit/solver/mvc/base.py | 484 +++++++++++++++++++++++++++++++++++ ml4co_kit/utils/__init__.py | 5 +- ml4co_kit/utils/mc_utils.py | 217 ++++++++++++++++ ml4co_kit/utils/mcl_utils.py | 194 ++++++++++++++ ml4co_kit/utils/mvc_utils.py | 194 ++++++++++++++ 10 files changed, 2076 insertions(+), 6 deletions(-) create mode 100644 ml4co_kit/solver/mc/base.py create mode 100644 ml4co_kit/solver/mcl/base.py create mode 100644 ml4co_kit/solver/mvc/base.py create mode 100644 ml4co_kit/utils/mc_utils.py create mode 100644 ml4co_kit/utils/mcl_utils.py create mode 100644 ml4co_kit/utils/mvc_utils.py diff --git a/ml4co_kit/__init__.py b/ml4co_kit/__init__.py index b53e897..3b3d42b 100644 --- a/ml4co_kit/__init__.py +++ b/ml4co_kit/__init__.py @@ -15,13 +15,13 @@ from .generator import TSPDataGenerator, MISDataGenerator, CVRPDataGenerator, ATSPDataGenerator from .solver import TSPSolver, TSPLKHSolver, TSPConcordeSolver, TSPConcordeLargeSolver from .solver import TSPGAEAXSolver, TSPGAEAXLargeSolver -from .solver import MISSolver, KaMISSolver, MISGurobiSolver +from .solver import MISSolver, KaMISSolver, MISGurobiSolver, MVCSolver, MClSolver, MCSolver from .solver import CVRPSolver, CVRPPyVRPSolver, CVRPLKHSolver, CVRPHGSSolver from .solver import ATSPSolver, ATSPLKHSolver from .utils import download, compress_folder, extract_archive, _get_md5 from .utils import iterative_execution_for_file, iterative_execution from .utils import np_dense_to_sparse, np_sparse_to_dense, GraphData, tsplib95 -from .utils import MISGraphData, sat_to_mis_graph, cnf_folder_to_gpickle_folder, cnf_to_gpickle +from .utils import MISGraphData, MVCGraphData, MClGraphData, MCGraphData, sat_to_mis_graph, cnf_folder_to_gpickle_folder, cnf_to_gpickle # expand - matplotlib found_matplotlib = importlib.util.find_spec("matplotlib") diff --git a/ml4co_kit/learning/train.py b/ml4co_kit/learning/train.py index 35a75db..8eeb0be 100644 --- a/ml4co_kit/learning/train.py +++ b/ml4co_kit/learning/train.py @@ -20,12 +20,14 @@ def __init__( every_n_epochs: int = 1, every_n_train_steps=None, filename=None, + save_top_k: int = -1, + mode: str = None, ): super().__init__( dirpath=dirpath, monitor=monitor, - mode="min", - save_top_k=-1, + mode=mode, + save_top_k=save_top_k, save_last=True, every_n_epochs=every_n_epochs, every_n_train_steps=every_n_train_steps, @@ -67,6 +69,8 @@ def __init__( # checkpoint ckpt_save_path: Optional[str] = None, ckpt_monitor: str = "val/loss", + save_top_k: int = -1, + mode: str = None, ckpt_every_n_epochs: int = 1, ckpt_every_n_train_steps: Optional[int] = None, ckpt_filename: str = None, @@ -105,6 +109,8 @@ def __init__( every_n_epochs=ckpt_every_n_epochs, every_n_train_steps=ckpt_every_n_train_steps, filename="epoch={epoch}-step={step}" if ckpt_filename is None else ckpt_filename, + save_top_k=save_top_k, + mode=mode ) # learning rate diff --git a/ml4co_kit/solver/__init__.py b/ml4co_kit/solver/__init__.py index 2262471..ced9528 100644 --- a/ml4co_kit/solver/__init__.py +++ b/ml4co_kit/solver/__init__.py @@ -15,4 +15,8 @@ from .cvrp.hgs import CVRPHGSSolver from .atsp.base import ATSPSolver -from .atsp.lkh import ATSPLKHSolver \ No newline at end of file +from .atsp.lkh import ATSPLKHSolver + +from .mvc.base import MVCSolver +from .mcl.base import MClSolver +from .mc.base import MCSolver \ No newline at end of file diff --git a/ml4co_kit/solver/mc/base.py b/ml4co_kit/solver/mc/base.py new file mode 100644 index 0000000..baab156 --- /dev/null +++ b/ml4co_kit/solver/mc/base.py @@ -0,0 +1,484 @@ +import os +import pickle +import numpy as np +import networkx as nx +from typing import List +from ml4co_kit.utils import MCGraphData +from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file + + +class MCSolver(object): + def __init__(self, solver_type: str = None) -> None: + self.solver_type = solver_type + self.weighted = None + self.time_limit = 60.0 + self.graph_data: List[MCGraphData] = list() + + def check_edge_index_not_none(self): + message = ( + f"``edge_index`` cannot be None! You can load ``edge_index`` using the " + "methods including ``from_graph_data``, ``from_adj_martix``, ``from_txt``, " + "``from_gpickle_result`` or ``from_gpickle_result_folder`` to obtain them." + ) + for graph in self.graph_data: + graph: MCGraphData + if graph.edge_index is None: + raise ValueError(message) + + def check_nodes_label_not_none(self, ref: bool): + msg = "ref_nodes_label" if ref else "nodes_label" + message = ( + f"``{msg}`` cannot be None! You can use solvers based on ``MCSolver`` " + "like ``KaMCSolver`` or use methods including ``from_graph_data``, " + "``from_adj_martix``, ``from_txt``, ``from_gpickle_result`` or " + "``from_gpickle_result_folder`` to obtain them." + ) + if ref: + for graph in self.graph_data: + graph: MCGraphData + if graph.ref_nodes_label is None: + raise ValueError(message) + else: + for graph in self.graph_data: + graph: MCGraphData + if graph.nodes_label is None: + raise ValueError(message) + + def set_ref_as_solution(self): + for graph in self.graph_data: + graph: MCGraphData + graph.nodes_label = graph.ref_nodes_label + graph.sel_nodes_num = graph.ref_sel_nodes_num + + def set_solution_as_ref(self): + for graph in self.graph_data: + graph: MCGraphData + graph.ref_nodes_label = graph.nodes_label + graph.ref_sel_nodes_num = graph.sel_nodes_num + + def from_gpickle_result( + self, + gpickle_file_path: str = None, + result_file_path: str = None, + self_loop: bool = True, + ref: bool = True, + cover: bool = True + ): + # cover or not + if cover: + graph = MCGraphData() + else: + if len(self.graph_data) != 1: + raise ValueError( + "Read data from only one graph, but save more than one piece of data" + ) + graph: MCGraphData = self.graph_data[0] + + # read graph data + if gpickle_file_path is not None: + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + if result_file_path is not None: + graph.from_result(file_path=result_file_path, ref=ref) + self.graph_data = [graph] + + def from_gpickle_result_folder( + self, + gpickle_folder_path: str = None, + result_folder_path: str = None, + weighted: bool = False, + self_loop: bool = True, + ref: bool = False, + cover: bool = True, + show_time: bool = False + ): + # weighted + if weighted == True: + raise NotImplementedError( + "The current version does not currently support weighted graphs" + ) + + # init + gpickle_flag = False if gpickle_folder_path is None else True + result_flag = False if result_folder_path is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if gpickle_flag and not result_flag: + files = os.listdir(gpickle_folder_path) + files.sort() + load_msg = f"Loading data from {gpickle_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + gpickle_file_path = os.path.join(gpickle_folder_path, file_name) + if not gpickle_file_path.endswith(".gpickle"): + continue + + # cover or not + graph = self.graph_data[idx] if not cover else MCGraphData() + + # read graph data + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # only solution + if not gpickle_flag and result_flag: + files = os.listdir(result_folder_path) + files.sort() + load_msg = f"Loading solutions from {result_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + result_file_path = os.path.join(result_folder_path, file_name) + if not result_file_path.endswith(".result"): + continue + + # cover or not + graph = self.graph_data[idx] if not cover else MCGraphData() + + # read graph data + graph.from_result(file_path=result_file_path, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions [must have the same filename] + if gpickle_flag and result_flag: + files = os.listdir(gpickle_folder_path) + files.sort() + load_msg = f"Loading data from {gpickle_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + file_name: str + gpickle_file_path = os.path.join(gpickle_folder_path, file_name) + if not gpickle_file_path.endswith(".gpickle"): + continue + result_file_path = os.path.join( + result_folder_path, + file_name.replace( + ".gpickle", f"_{'weighted' if weighted else 'unweighted'}.result" + ) + ) + + # cover or not + graph = self.graph_data[idx] if not cover else MCGraphData() + + # read graph data + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + graph.from_result(file_path=result_file_path, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def from_txt( + self, + file_path: str, + ref: bool = False, + cover: bool = True, + show_time: bool = False + ): + # check the file format + if not file_path.endswith(".txt"): + raise ValueError("Invalid file format. Expected a ``.txt`` file.") + + # cover or not + if cover: + self.graph_data = list() + + # read the data form .txt + with open(file_path, "r") as file: + idx = 0 + + # read by lines + for line in iterative_execution_for_file(file, "Loading", show_time): + # read data from one line + line = line.strip() + split_line = line.split(" label ") + edge_index = split_line[0] + nodes_label = split_line[1] + edge_index = edge_index.split(" ") + edge_index = np.array( + [ + [int(edge_index[i]), int(edge_index[i + 1])] + for i in range(0, len(edge_index), 2) + ] + ).T + nodes_label = nodes_label.split(" ") + nodes_label = np.array([int(nodel_label) for nodel_label in nodes_label]) + + # cover or not + graph = self.graph_data[idx] if not cover else MCGraphData() + + # load data + graph.from_data(edge_index=edge_index, nodes_label=nodes_label, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # update index + idx += 1 + + def from_txt_only_sel_nodes_num( + self, + file_path: str, + ref: bool = False, + ): + # check the file format + if not file_path.endswith(".txt"): + raise ValueError("Invalid file format. Expected a ``.txt`` file.") + + # read the data form .txt + with open(file_path, "r") as file: + lines = file.readlines() + for idx, line in enumerate(lines): + line = line.strip() + split_line = line.split(": ") + sel_nodes_num = int(split_line[1]) + if ref: + self.graph_data[idx].ref_sel_nodes_num = sel_nodes_num + else: + self.graph_data[idx].sel_nodes_num = sel_nodes_num + + def from_graph_data( + self, + edge_index: List[np.ndarray] = None, + nodes_label: List[np.ndarray] = None, + ref: bool = False, + cover: bool = True + ): + # init + data_flag = False if edge_index is None else True + result_flag = False if nodes_label is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if data_flag and not result_flag: + for idx in range(len(edge_index)): + graph = self.graph_data[idx] if not cover else MCGraphData() + graph.from_data(edge_index=edge_index[idx]) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # only data + if not data_flag and result_flag: + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MCGraphData() + graph.from_data(nodes_label=nodes_label[idx], ref=ref) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions + if data_flag and result_flag: + if not len(edge_index) == len(nodes_label): + raise ValueError("The number of problems and solutions does not match!") + + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MCGraphData() + graph.from_data( + edge_index=edge_index[idx], nodes_label=nodes_label[idx], ref=ref + ) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def from_adj_matrix( + self, + adj_matrix: List[np.ndarray], + nodes_label: List[np.ndarray] = None, + self_loop: bool = True, + ref: bool = False, + cover: bool = True + ): + # init + result_flag = False if nodes_label is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if not result_flag: + for idx in range(len(adj_matrix)): + graph = self.graph_data[idx] if not cover else MCGraphData() + graph.from_adj_martix(adj_matrix[idx], self_loop=self_loop) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions + else: + if not len(adj_matrix) == len(nodes_label): + raise ValueError("The number of problems and solutions does not match!") + + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MCGraphData() + graph.from_data(nodes_label=nodes_label[idx], ref=ref) + graph.from_adj_martix(adj_matrix[idx], self_loop=self_loop) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def to_gpickle_result_folder( + self, + gpickle_save_dir: str = None, + gpickle_filename: str = None, + result_save_dir: str = None, + result_filename: str = None, + weighted: bool = False, + show_time: bool = False + ): + # weighted + if weighted == True: + raise NotImplementedError( + "The current version does not currently support weighted graphs" + ) + + # .gpickle files + if gpickle_save_dir is not None: + # preparation + if gpickle_filename.endswith(".gpickle"): + gpickle_filename = gpickle_filename.replace(".gpickle", "") + samples = len(self.graph_data) + + # makedirs + if not os.path.exists(gpickle_save_dir): + os.makedirs(gpickle_save_dir) + + write_msg = f"Writing gpickle files to {gpickle_save_dir}" + for idx in iterative_execution(range, samples, write_msg, show_time): + # file name & save path + if samples == 1: + name = gpickle_filename + f".gpickle" + else: + name = gpickle_filename + f"-{idx}.gpickle" + save_path = os.path.join(gpickle_save_dir, name) + + # graph_data -> nx.Graph + graph: MCGraphData = self.graph_data[idx] + edge_index = graph.edge_index + if not graph.self_loop: + self_loop: np.ndarray = np.arange(graph.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edge_index = np.concatenate([self_loop, edge_index.T], axis=0) + nx_graph: nx.Graph = nx.from_edgelist(edge_index) + nx_graph = nx_graph.remove_edges_from(nx.selfloop_edges(nx_graph)) + else: + nx_graph = nx.from_edgelist(edge_index.T) + + # to pickle file + with open(save_path, "wb") as f: + pickle.dump(nx_graph, f, pickle.HIGHEST_PROTOCOL) + + # .result files + if result_save_dir is not None: + # preparation + if result_filename.endswith(".result"): + result_filename = result_filename.replace(".result", "") + samples = len(self.graph_data) + + # makedirs + if not os.path.exists(result_save_dir): + os.makedirs(result_save_dir) + + write_msg = f"Writing result files to {result_save_dir}" + for idx in iterative_execution(range, samples, write_msg, show_time): + # file name & save path + if samples == 1: + if weighted: + name = result_filename + f"_weighted.result" + else: + name = result_filename + f"_unweighted.result" + else: + if weighted: + name = result_filename + f"_weighted-{idx}.result" + else: + name = result_filename + f"_unweighted-{idx}.result" + + save_path = os.path.join(result_save_dir, name) + + # write + graph: MCGraphData = self.graph_data[idx] + nodes_label = graph.nodes_label + with open(save_path, "w") as f: + for node_label in nodes_label: + f.write(f"{node_label}\n") + f.close() + + def to_txt(self, filename: str = "example.txt"): + # check + self.check_edge_index_not_none() + self.check_nodes_label_not_none(ref=False) + + # write + with open(filename, "w") as f: + for graph in self.graph_data: + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + def evaluate(self, calculate_gap: bool = False): + if calculate_gap: + snn_list = list() + rsnn_list = list() + gap_list = list() + for graph in self.graph_data: + snn, rsnn, gap = graph.evaluate(calculate_gap=True) + snn_list.append(snn) + rsnn_list.append(rsnn) + gap_list.append(gap) + snn_avg = np.average(np.array(snn_list)) + rsnn_avg = np.average(np.array(rsnn_list)) + gap = np.array(gap_list) + gap_avg = np.average(gap) + gap_std = np.std(gap) + return snn_avg, rsnn_avg, gap_avg, gap_std + else: + snn_list = list() + for graph in self.graph_data: + snn = graph.evaluate(calculate_gap=False) + snn_list.append(snn) + snn_avg = np.average(np.array(snn_list)) + return snn_avg + + def solve(self): + raise NotImplementedError( + "The method ``solve`` is required to implemented in subclasses." + ) + + def __str__(self) -> str: + return "MCSolver" \ No newline at end of file diff --git a/ml4co_kit/solver/mcl/base.py b/ml4co_kit/solver/mcl/base.py new file mode 100644 index 0000000..47d117f --- /dev/null +++ b/ml4co_kit/solver/mcl/base.py @@ -0,0 +1,484 @@ +import os +import pickle +import numpy as np +import networkx as nx +from typing import List +from ml4co_kit.utils import MClGraphData +from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file + + +class MClSolver(object): + def __init__(self, solver_type: str = None) -> None: + self.solver_type = solver_type + self.weighted = None + self.time_limit = 60.0 + self.graph_data: List[MClGraphData] = list() + + def check_edge_index_not_none(self): + message = ( + f"``edge_index`` cannot be None! You can load ``edge_index`` using the " + "methods including ``from_graph_data``, ``from_adj_martix``, ``from_txt``, " + "``from_gpickle_result`` or ``from_gpickle_result_folder`` to obtain them." + ) + for graph in self.graph_data: + graph: MClGraphData + if graph.edge_index is None: + raise ValueError(message) + + def check_nodes_label_not_none(self, ref: bool): + msg = "ref_nodes_label" if ref else "nodes_label" + message = ( + f"``{msg}`` cannot be None! You can use solvers based on ``MClSolver`` " + "like ``KaMClSolver`` or use methods including ``from_graph_data``, " + "``from_adj_martix``, ``from_txt``, ``from_gpickle_result`` or " + "``from_gpickle_result_folder`` to obtain them." + ) + if ref: + for graph in self.graph_data: + graph: MClGraphData + if graph.ref_nodes_label is None: + raise ValueError(message) + else: + for graph in self.graph_data: + graph: MClGraphData + if graph.nodes_label is None: + raise ValueError(message) + + def set_ref_as_solution(self): + for graph in self.graph_data: + graph: MClGraphData + graph.nodes_label = graph.ref_nodes_label + graph.sel_nodes_num = graph.ref_sel_nodes_num + + def set_solution_as_ref(self): + for graph in self.graph_data: + graph: MClGraphData + graph.ref_nodes_label = graph.nodes_label + graph.ref_sel_nodes_num = graph.sel_nodes_num + + def from_gpickle_result( + self, + gpickle_file_path: str = None, + result_file_path: str = None, + self_loop: bool = True, + ref: bool = True, + cover: bool = True + ): + # cover or not + if cover: + graph = MClGraphData() + else: + if len(self.graph_data) != 1: + raise ValueError( + "Read data from only one graph, but save more than one piece of data" + ) + graph: MClGraphData = self.graph_data[0] + + # read graph data + if gpickle_file_path is not None: + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + if result_file_path is not None: + graph.from_result(file_path=result_file_path, ref=ref) + self.graph_data = [graph] + + def from_gpickle_result_folder( + self, + gpickle_folder_path: str = None, + result_folder_path: str = None, + weighted: bool = False, + self_loop: bool = True, + ref: bool = False, + cover: bool = True, + show_time: bool = False + ): + # weighted + if weighted == True: + raise NotImplementedError( + "The current version does not currently support weighted graphs" + ) + + # init + gpickle_flag = False if gpickle_folder_path is None else True + result_flag = False if result_folder_path is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if gpickle_flag and not result_flag: + files = os.listdir(gpickle_folder_path) + files.sort() + load_msg = f"Loading data from {gpickle_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + gpickle_file_path = os.path.join(gpickle_folder_path, file_name) + if not gpickle_file_path.endswith(".gpickle"): + continue + + # cover or not + graph = self.graph_data[idx] if not cover else MClGraphData() + + # read graph data + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # only solution + if not gpickle_flag and result_flag: + files = os.listdir(result_folder_path) + files.sort() + load_msg = f"Loading solutions from {result_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + result_file_path = os.path.join(result_folder_path, file_name) + if not result_file_path.endswith(".result"): + continue + + # cover or not + graph = self.graph_data[idx] if not cover else MClGraphData() + + # read graph data + graph.from_result(file_path=result_file_path, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions [must have the same filename] + if gpickle_flag and result_flag: + files = os.listdir(gpickle_folder_path) + files.sort() + load_msg = f"Loading data from {gpickle_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + file_name: str + gpickle_file_path = os.path.join(gpickle_folder_path, file_name) + if not gpickle_file_path.endswith(".gpickle"): + continue + result_file_path = os.path.join( + result_folder_path, + file_name.replace( + ".gpickle", f"_{'weighted' if weighted else 'unweighted'}.result" + ) + ) + + # cover or not + graph = self.graph_data[idx] if not cover else MClGraphData() + + # read graph data + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + graph.from_result(file_path=result_file_path, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def from_txt( + self, + file_path: str, + ref: bool = False, + cover: bool = True, + show_time: bool = False + ): + # check the file format + if not file_path.endswith(".txt"): + raise ValueError("Invalid file format. Expected a ``.txt`` file.") + + # cover or not + if cover: + self.graph_data = list() + + # read the data form .txt + with open(file_path, "r") as file: + idx = 0 + + # read by lines + for line in iterative_execution_for_file(file, "Loading", show_time): + # read data from one line + line = line.strip() + split_line = line.split(" label ") + edge_index = split_line[0] + nodes_label = split_line[1] + edge_index = edge_index.split(" ") + edge_index = np.array( + [ + [int(edge_index[i]), int(edge_index[i + 1])] + for i in range(0, len(edge_index), 2) + ] + ).T + nodes_label = nodes_label.split(" ") + nodes_label = np.array([int(nodel_label) for nodel_label in nodes_label]) + + # cover or not + graph = self.graph_data[idx] if not cover else MClGraphData() + + # load data + graph.from_data(edge_index=edge_index, nodes_label=nodes_label, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # update index + idx += 1 + + def from_txt_only_sel_nodes_num( + self, + file_path: str, + ref: bool = False, + ): + # check the file format + if not file_path.endswith(".txt"): + raise ValueError("Invalid file format. Expected a ``.txt`` file.") + + # read the data form .txt + with open(file_path, "r") as file: + lines = file.readlines() + for idx, line in enumerate(lines): + line = line.strip() + split_line = line.split(": ") + sel_nodes_num = int(split_line[1]) + if ref: + self.graph_data[idx].ref_sel_nodes_num = sel_nodes_num + else: + self.graph_data[idx].sel_nodes_num = sel_nodes_num + + def from_graph_data( + self, + edge_index: List[np.ndarray] = None, + nodes_label: List[np.ndarray] = None, + ref: bool = False, + cover: bool = True + ): + # init + data_flag = False if edge_index is None else True + result_flag = False if nodes_label is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if data_flag and not result_flag: + for idx in range(len(edge_index)): + graph = self.graph_data[idx] if not cover else MClGraphData() + graph.from_data(edge_index=edge_index[idx]) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # only data + if not data_flag and result_flag: + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MClGraphData() + graph.from_data(nodes_label=nodes_label[idx], ref=ref) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions + if data_flag and result_flag: + if not len(edge_index) == len(nodes_label): + raise ValueError("The number of problems and solutions does not match!") + + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MClGraphData() + graph.from_data( + edge_index=edge_index[idx], nodes_label=nodes_label[idx], ref=ref + ) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def from_adj_matrix( + self, + adj_matrix: List[np.ndarray], + nodes_label: List[np.ndarray] = None, + self_loop: bool = True, + ref: bool = False, + cover: bool = True + ): + # init + result_flag = False if nodes_label is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if not result_flag: + for idx in range(len(adj_matrix)): + graph = self.graph_data[idx] if not cover else MClGraphData() + graph.from_adj_martix(adj_matrix[idx], self_loop=self_loop) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions + else: + if not len(adj_matrix) == len(nodes_label): + raise ValueError("The number of problems and solutions does not match!") + + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MClGraphData() + graph.from_data(nodes_label=nodes_label[idx], ref=ref) + graph.from_adj_martix(adj_matrix[idx], self_loop=self_loop) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def to_gpickle_result_folder( + self, + gpickle_save_dir: str = None, + gpickle_filename: str = None, + result_save_dir: str = None, + result_filename: str = None, + weighted: bool = False, + show_time: bool = False + ): + # weighted + if weighted == True: + raise NotImplementedError( + "The current version does not currently support weighted graphs" + ) + + # .gpickle files + if gpickle_save_dir is not None: + # preparation + if gpickle_filename.endswith(".gpickle"): + gpickle_filename = gpickle_filename.replace(".gpickle", "") + samples = len(self.graph_data) + + # makedirs + if not os.path.exists(gpickle_save_dir): + os.makedirs(gpickle_save_dir) + + write_msg = f"Writing gpickle files to {gpickle_save_dir}" + for idx in iterative_execution(range, samples, write_msg, show_time): + # file name & save path + if samples == 1: + name = gpickle_filename + f".gpickle" + else: + name = gpickle_filename + f"-{idx}.gpickle" + save_path = os.path.join(gpickle_save_dir, name) + + # graph_data -> nx.Graph + graph: MClGraphData = self.graph_data[idx] + edge_index = graph.edge_index + if not graph.self_loop: + self_loop: np.ndarray = np.arange(graph.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edge_index = np.concatenate([self_loop, edge_index.T], axis=0) + nx_graph: nx.Graph = nx.from_edgelist(edge_index) + nx_graph = nx_graph.remove_edges_from(nx.selfloop_edges(nx_graph)) + else: + nx_graph = nx.from_edgelist(edge_index.T) + + # to pickle file + with open(save_path, "wb") as f: + pickle.dump(nx_graph, f, pickle.HIGHEST_PROTOCOL) + + # .result files + if result_save_dir is not None: + # preparation + if result_filename.endswith(".result"): + result_filename = result_filename.replace(".result", "") + samples = len(self.graph_data) + + # makedirs + if not os.path.exists(result_save_dir): + os.makedirs(result_save_dir) + + write_msg = f"Writing result files to {result_save_dir}" + for idx in iterative_execution(range, samples, write_msg, show_time): + # file name & save path + if samples == 1: + if weighted: + name = result_filename + f"_weighted.result" + else: + name = result_filename + f"_unweighted.result" + else: + if weighted: + name = result_filename + f"_weighted-{idx}.result" + else: + name = result_filename + f"_unweighted-{idx}.result" + + save_path = os.path.join(result_save_dir, name) + + # write + graph: MClGraphData = self.graph_data[idx] + nodes_label = graph.nodes_label + with open(save_path, "w") as f: + for node_label in nodes_label: + f.write(f"{node_label}\n") + f.close() + + def to_txt(self, filename: str = "example.txt"): + # check + self.check_edge_index_not_none() + self.check_nodes_label_not_none(ref=False) + + # write + with open(filename, "w") as f: + for graph in self.graph_data: + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + def evaluate(self, calculate_gap: bool = False): + if calculate_gap: + snn_list = list() + rsnn_list = list() + gap_list = list() + for graph in self.graph_data: + snn, rsnn, gap = graph.evaluate(calculate_gap=True) + snn_list.append(snn) + rsnn_list.append(rsnn) + gap_list.append(gap) + snn_avg = np.average(np.array(snn_list)) + rsnn_avg = np.average(np.array(rsnn_list)) + gap = np.array(gap_list) + gap_avg = np.average(gap) + gap_std = np.std(gap) + return snn_avg, rsnn_avg, gap_avg, gap_std + else: + snn_list = list() + for graph in self.graph_data: + snn = graph.evaluate(calculate_gap=False) + snn_list.append(snn) + snn_avg = np.average(np.array(snn_list)) + return snn_avg + + def solve(self): + raise NotImplementedError( + "The method ``solve`` is required to implemented in subclasses." + ) + + def __str__(self) -> str: + return "MClSolver" \ No newline at end of file diff --git a/ml4co_kit/solver/mvc/base.py b/ml4co_kit/solver/mvc/base.py new file mode 100644 index 0000000..ed38fb4 --- /dev/null +++ b/ml4co_kit/solver/mvc/base.py @@ -0,0 +1,484 @@ +import os +import pickle +import numpy as np +import networkx as nx +from typing import List +from ml4co_kit.utils import MVCGraphData +from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file + + +class MVCSolver(object): + def __init__(self, solver_type: str = None) -> None: + self.solver_type = solver_type + self.weighted = None + self.time_limit = 60.0 + self.graph_data: List[MVCGraphData] = list() + + def check_edge_index_not_none(self): + message = ( + f"``edge_index`` cannot be None! You can load ``edge_index`` using the " + "methods including ``from_graph_data``, ``from_adj_martix``, ``from_txt``, " + "``from_gpickle_result`` or ``from_gpickle_result_folder`` to obtain them." + ) + for graph in self.graph_data: + graph: MVCGraphData + if graph.edge_index is None: + raise ValueError(message) + + def check_nodes_label_not_none(self, ref: bool): + msg = "ref_nodes_label" if ref else "nodes_label" + message = ( + f"``{msg}`` cannot be None! You can use solvers based on ``MVCSolver`` " + "like ``KaMVCSolver`` or use methods including ``from_graph_data``, " + "``from_adj_martix``, ``from_txt``, ``from_gpickle_result`` or " + "``from_gpickle_result_folder`` to obtain them." + ) + if ref: + for graph in self.graph_data: + graph: MVCGraphData + if graph.ref_nodes_label is None: + raise ValueError(message) + else: + for graph in self.graph_data: + graph: MVCGraphData + if graph.nodes_label is None: + raise ValueError(message) + + def set_ref_as_solution(self): + for graph in self.graph_data: + graph: MVCGraphData + graph.nodes_label = graph.ref_nodes_label + graph.sel_nodes_num = graph.ref_sel_nodes_num + + def set_solution_as_ref(self): + for graph in self.graph_data: + graph: MVCGraphData + graph.ref_nodes_label = graph.nodes_label + graph.ref_sel_nodes_num = graph.sel_nodes_num + + def from_gpickle_result( + self, + gpickle_file_path: str = None, + result_file_path: str = None, + self_loop: bool = True, + ref: bool = True, + cover: bool = True + ): + # cover or not + if cover: + graph = MVCGraphData() + else: + if len(self.graph_data) != 1: + raise ValueError( + "Read data from only one graph, but save more than one piece of data" + ) + graph: MVCGraphData = self.graph_data[0] + + # read graph data + if gpickle_file_path is not None: + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + if result_file_path is not None: + graph.from_result(file_path=result_file_path, ref=ref) + self.graph_data = [graph] + + def from_gpickle_result_folder( + self, + gpickle_folder_path: str = None, + result_folder_path: str = None, + weighted: bool = False, + self_loop: bool = True, + ref: bool = False, + cover: bool = True, + show_time: bool = False + ): + # weighted + if weighted == True: + raise NotImplementedError( + "The current version does not currently support weighted graphs" + ) + + # init + gpickle_flag = False if gpickle_folder_path is None else True + result_flag = False if result_folder_path is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if gpickle_flag and not result_flag: + files = os.listdir(gpickle_folder_path) + files.sort() + load_msg = f"Loading data from {gpickle_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + gpickle_file_path = os.path.join(gpickle_folder_path, file_name) + if not gpickle_file_path.endswith(".gpickle"): + continue + + # cover or not + graph = self.graph_data[idx] if not cover else MVCGraphData() + + # read graph data + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # only solution + if not gpickle_flag and result_flag: + files = os.listdir(result_folder_path) + files.sort() + load_msg = f"Loading solutions from {result_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + result_file_path = os.path.join(result_folder_path, file_name) + if not result_file_path.endswith(".result"): + continue + + # cover or not + graph = self.graph_data[idx] if not cover else MVCGraphData() + + # read graph data + graph.from_result(file_path=result_file_path, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions [must have the same filename] + if gpickle_flag and result_flag: + files = os.listdir(gpickle_folder_path) + files.sort() + load_msg = f"Loading data from {gpickle_folder_path}" + for idx, file_name in iterative_execution_for_file( + enumerate(files), load_msg, show_time + ): + # file path and check format + file_name: str + gpickle_file_path = os.path.join(gpickle_folder_path, file_name) + if not gpickle_file_path.endswith(".gpickle"): + continue + result_file_path = os.path.join( + result_folder_path, + file_name.replace( + ".gpickle", f"_{'weighted' if weighted else 'unweighted'}.result" + ) + ) + + # cover or not + graph = self.graph_data[idx] if not cover else MVCGraphData() + + # read graph data + graph.from_gpickle(file_path=gpickle_file_path, self_loop=self_loop) + graph.from_result(file_path=result_file_path, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def from_txt( + self, + file_path: str, + ref: bool = False, + cover: bool = True, + show_time: bool = False + ): + # check the file format + if not file_path.endswith(".txt"): + raise ValueError("Invalid file format. Expected a ``.txt`` file.") + + # cover or not + if cover: + self.graph_data = list() + + # read the data form .txt + with open(file_path, "r") as file: + idx = 0 + + # read by lines + for line in iterative_execution_for_file(file, "Loading", show_time): + # read data from one line + line = line.strip() + split_line = line.split(" label ") + edge_index = split_line[0] + nodes_label = split_line[1] + edge_index = edge_index.split(" ") + edge_index = np.array( + [ + [int(edge_index[i]), int(edge_index[i + 1])] + for i in range(0, len(edge_index), 2) + ] + ).T + nodes_label = nodes_label.split(" ") + nodes_label = np.array([int(nodel_label) for nodel_label in nodes_label]) + + # cover or not + graph = self.graph_data[idx] if not cover else MVCGraphData() + + # load data + graph.from_data(edge_index=edge_index, nodes_label=nodes_label, ref=ref) + + # cover or not + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # update index + idx += 1 + + def from_txt_only_sel_nodes_num( + self, + file_path: str, + ref: bool = False, + ): + # check the file format + if not file_path.endswith(".txt"): + raise ValueError("Invalid file format. Expected a ``.txt`` file.") + + # read the data form .txt + with open(file_path, "r") as file: + lines = file.readlines() + for idx, line in enumerate(lines): + line = line.strip() + split_line = line.split(": ") + sel_nodes_num = int(split_line[1]) + if ref: + self.graph_data[idx].ref_sel_nodes_num = sel_nodes_num + else: + self.graph_data[idx].sel_nodes_num = sel_nodes_num + + def from_graph_data( + self, + edge_index: List[np.ndarray] = None, + nodes_label: List[np.ndarray] = None, + ref: bool = False, + cover: bool = True + ): + # init + data_flag = False if edge_index is None else True + result_flag = False if nodes_label is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if data_flag and not result_flag: + for idx in range(len(edge_index)): + graph = self.graph_data[idx] if not cover else MVCGraphData() + graph.from_data(edge_index=edge_index[idx]) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # only data + if not data_flag and result_flag: + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MVCGraphData() + graph.from_data(nodes_label=nodes_label[idx], ref=ref) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions + if data_flag and result_flag: + if not len(edge_index) == len(nodes_label): + raise ValueError("The number of problems and solutions does not match!") + + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MVCGraphData() + graph.from_data( + edge_index=edge_index[idx], nodes_label=nodes_label[idx], ref=ref + ) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def from_adj_matrix( + self, + adj_matrix: List[np.ndarray], + nodes_label: List[np.ndarray] = None, + self_loop: bool = True, + ref: bool = False, + cover: bool = True + ): + # init + result_flag = False if nodes_label is None else True + + # cover or not + if cover: + self.graph_data = list() + + # only data + if not result_flag: + for idx in range(len(adj_matrix)): + graph = self.graph_data[idx] if not cover else MVCGraphData() + graph.from_adj_martix(adj_matrix[idx], self_loop=self_loop) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + # both data and solutions + else: + if not len(adj_matrix) == len(nodes_label): + raise ValueError("The number of problems and solutions does not match!") + + for idx in range(len(nodes_label)): + graph = self.graph_data[idx] if not cover else MVCGraphData() + graph.from_data(nodes_label=nodes_label[idx], ref=ref) + graph.from_adj_martix(adj_matrix[idx], self_loop=self_loop) + if cover: + self.graph_data.append(graph) + else: + self.graph_data[idx] = graph + + def to_gpickle_result_folder( + self, + gpickle_save_dir: str = None, + gpickle_filename: str = None, + result_save_dir: str = None, + result_filename: str = None, + weighted: bool = False, + show_time: bool = False + ): + # weighted + if weighted == True: + raise NotImplementedError( + "The current version does not currently support weighted graphs" + ) + + # .gpickle files + if gpickle_save_dir is not None: + # preparation + if gpickle_filename.endswith(".gpickle"): + gpickle_filename = gpickle_filename.replace(".gpickle", "") + samples = len(self.graph_data) + + # makedirs + if not os.path.exists(gpickle_save_dir): + os.makedirs(gpickle_save_dir) + + write_msg = f"Writing gpickle files to {gpickle_save_dir}" + for idx in iterative_execution(range, samples, write_msg, show_time): + # file name & save path + if samples == 1: + name = gpickle_filename + f".gpickle" + else: + name = gpickle_filename + f"-{idx}.gpickle" + save_path = os.path.join(gpickle_save_dir, name) + + # graph_data -> nx.Graph + graph: MVCGraphData = self.graph_data[idx] + edge_index = graph.edge_index + if not graph.self_loop: + self_loop: np.ndarray = np.arange(graph.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edge_index = np.concatenate([self_loop, edge_index.T], axis=0) + nx_graph: nx.Graph = nx.from_edgelist(edge_index) + nx_graph = nx_graph.remove_edges_from(nx.selfloop_edges(nx_graph)) + else: + nx_graph = nx.from_edgelist(edge_index.T) + + # to pickle file + with open(save_path, "wb") as f: + pickle.dump(nx_graph, f, pickle.HIGHEST_PROTOCOL) + + # .result files + if result_save_dir is not None: + # preparation + if result_filename.endswith(".result"): + result_filename = result_filename.replace(".result", "") + samples = len(self.graph_data) + + # makedirs + if not os.path.exists(result_save_dir): + os.makedirs(result_save_dir) + + write_msg = f"Writing result files to {result_save_dir}" + for idx in iterative_execution(range, samples, write_msg, show_time): + # file name & save path + if samples == 1: + if weighted: + name = result_filename + f"_weighted.result" + else: + name = result_filename + f"_unweighted.result" + else: + if weighted: + name = result_filename + f"_weighted-{idx}.result" + else: + name = result_filename + f"_unweighted-{idx}.result" + + save_path = os.path.join(result_save_dir, name) + + # write + graph: MVCGraphData = self.graph_data[idx] + nodes_label = graph.nodes_label + with open(save_path, "w") as f: + for node_label in nodes_label: + f.write(f"{node_label}\n") + f.close() + + def to_txt(self, filename: str = "example.txt"): + # check + self.check_edge_index_not_none() + self.check_nodes_label_not_none(ref=False) + + # write + with open(filename, "w") as f: + for graph in self.graph_data: + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + def evaluate(self, calculate_gap: bool = False): + if calculate_gap: + snn_list = list() + rsnn_list = list() + gap_list = list() + for graph in self.graph_data: + snn, rsnn, gap = graph.evaluate(calculate_gap=True) + snn_list.append(snn) + rsnn_list.append(rsnn) + gap_list.append(gap) + snn_avg = np.average(np.array(snn_list)) + rsnn_avg = np.average(np.array(rsnn_list)) + gap = np.array(gap_list) + gap_avg = np.average(gap) + gap_std = np.std(gap) + return snn_avg, rsnn_avg, gap_avg, gap_std + else: + snn_list = list() + for graph in self.graph_data: + snn = graph.evaluate(calculate_gap=False) + snn_list.append(snn) + snn_avg = np.average(np.array(snn_list)) + return snn_avg + + def solve(self): + raise NotImplementedError( + "The method ``solve`` is required to implemented in subclasses." + ) + + def __str__(self) -> str: + return "MVCSolver" \ No newline at end of file diff --git a/ml4co_kit/utils/__init__.py b/ml4co_kit/utils/__init__.py index e8f9cd5..1061f5a 100644 --- a/ml4co_kit/utils/__init__.py +++ b/ml4co_kit/utils/__init__.py @@ -3,4 +3,7 @@ from .run_utils import iterative_execution, iterative_execution_for_file from .graph_utils import np_dense_to_sparse, np_sparse_to_dense, GraphData from .distance_utils import geographical -from .mis_utils import MISGraphData, sat_to_mis_graph, cnf_to_gpickle, cnf_folder_to_gpickle_folder \ No newline at end of file +from .mis_utils import MISGraphData, sat_to_mis_graph, cnf_to_gpickle, cnf_folder_to_gpickle_folder +from .mvc_utils import MVCGraphData +from .mcl_utils import MClGraphData +from .mc_utils import MCGraphData \ No newline at end of file diff --git a/ml4co_kit/utils/mc_utils.py b/ml4co_kit/utils/mc_utils.py new file mode 100644 index 0000000..cee85f0 --- /dev/null +++ b/ml4co_kit/utils/mc_utils.py @@ -0,0 +1,217 @@ +import os +import bz2 +import lzma +import gzip +import codecs +import pickle +import itertools +import numpy as np +import networkx as nx +from tqdm import tqdm +from typing import Tuple +from collections import OrderedDict +from ml4co_kit.utils.graph_utils import GraphData +from .graph_utils import np_sparse_to_dense + + +class FileObject(object): + def __init__(self, name, mode="r", compression=None): + self.fp = None + self.ctype = None + self.fp_extra = None + self.open(name, mode=mode, compression=compression) + + def open(self, name, mode="r", compression=None): + if compression == "use_ext": + self.get_compression_type(name) + else: + self.ctype = compression + + if not self.ctype: + self.fp = open(name, mode) + elif self.ctype == "gzip": + self.fp = gzip.open(name, mode + "t") + elif self.ctype == "bzip2": + try: + self.fp = bz2.open(name, mode + "t") + except: + self.fp_extra = bz2.BZ2File(name, mode) + if mode == "r": + self.fp = codecs.getreader("ascii")(self.fp_extra) + else: + self.fp = codecs.getwriter("ascii")(self.fp_extra) + else: + self.fp = lzma.open(name, mode=mode + "t") + + def close(self): + if self.fp: + self.fp.close() + self.fp = None + + if self.fp_extra: + self.fp_extra.close() + self.fp_extra = None + + self.ctype = None + + def get_compression_type(self, file_name): + ext = os.path.splitext(file_name)[1] + if ext == ".gz": + self.ctype = "gzip" + elif ext == ".bz2": + self.ctype = "bzip2" + elif ext in (".xz", ".lzma"): + self.ctype = "lzma" + else: + self.ctype = None + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.close() + + +class MCGraphData(GraphData): + def __init__(self): + super(MCGraphData, self).__init__() + self.nodes_label: np.ndarray = None + self.ref_nodes_label: np.ndarray = None + self.cut_edge_num: np.ndarray = None + self.ref_cut_edge_num: np.ndarray = None + self.self_loop = None + + def check_edge_index(self): + if self.edge_index is not None: + shape = self.edge_index.shape + if len(shape) != 2 or shape[0] != 2: + raise ValueError("The shape of ``edge_index`` must be like (2, E)") + + def check_nodes_label(self, ref: bool): + nodes_label = self.ref_nodes_label if ref else self.nodes_label + name = "ref_nodes_label" if ref else "nodes_label" + if nodes_label is not None: + if nodes_label.ndim != 1: + raise ValueError(f"The dimensions of ``{name}`` must be 1.") + + if self.nodes_num is not None: + if len(self.nodes_label) != self.nodes_num: + message = ( + f"The number of nodes in the {name} does not match that of " + "the problem. Please check the solution." + ) + raise ValueError(message) + else: + self.nodes_num = len(nodes_label) + + def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop + return super().from_adj_martix( + adj_matrix=adj_matrix, + zero_or_one="one", + type="zero-one", + self_loop=self.self_loop + ) + + def from_gpickle( + self, file_path: str, self_loop: bool = True + ): + # check file format + if not file_path.endswith(".gpickle"): + raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") + + # read graph data from .gpickle + with open(file_path, "rb") as f: + graph = pickle.load(f) + graph: nx.Graph + + # nodes num + self.nodes_num = graph.number_of_nodes() + + # edges + edges = np.array(graph.edges, dtype=np.int64) + edges = np.concatenate([edges, edges[:, ::-1]], axis=0) + self.self_loop = self_loop + if self.self_loop: + self_loop: np.ndarray = np.arange(self.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edges = np.concatenate([self_loop, edges], axis=0) + edges = edges.T + + # use ``from_data`` + self.from_data(edge_index=edges) + + def from_result(self, file_path: str, ref: bool = False): + # check file format + if not file_path.endswith(".result"): + raise ValueError("Invalid file format. Expected a ``.result`` file.") + + # read solution from file + with open(file_path, "r") as f: + nodes_label = [int(_) for _ in f.read().splitlines()] + nodes_label = np.array(nodes_label, dtype=np.int64) + + # use ``from_data`` + self.from_data(nodes_label=nodes_label, ref=ref) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + self.check_edge_index() + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + self.check_nodes_label(ref=ref) + + def evaluate(self, calculate_gap: bool = False): + # solved solution + if self.cut_edge_num is None: + if self.nodes_label is None: + raise ValueError( + "``cut_edge_num`` cannot be None! You can use solvers based on " + "``MCSolver``like ``KaMIS`` to get the ``cut_edge_num``." + ) + adj_matrix = np_sparse_to_dense(nodes_num=self.nodes_num, edge_index=self.edge_index) + self.cut_edge_num = 0 + set_A, set_B = [], [] + for node, label in enumerate(self.nodes_label): + if label == 1: + set_A.append(node) + else: + set_B.append(node) + for i in set_A: + for j in set_B: + if adj_matrix[i, j] == 1: + self.cut_edge_num += 1 + + # ground truth + if calculate_gap: + if self.ref_cut_edge_num is None: + if self.ref_nodes_label is None: + raise ValueError( + "``ref_cut_edge_num`` cannot be None! You can use solvers based on " + "``MCSolver``like ``KaMIS`` to get the ``ref_cut_edge_num``." + ) + adj_matrix = np_sparse_to_dense(nodes_num=self.nodes_num, edge_index=self.edge_index) + self.ref_cut_edge_num = 0 + set_A, set_B = [], [] + for node, label in enumerate(self.ref_nodes_label): + if label == 1: + set_A.append(node) + else: + set_B.append(node) + for i in set_A: + for j in set_B: + if adj_matrix[i, j] == 1: + self.ref_cut_edge_num += 1 + gap = - (self.cut_edge_num - self.ref_cut_edge_num) / self.ref_cut_edge_num + return (self.cut_edge_num, self.ref_cut_edge_num, gap) + else: + return self.cut_edge_num \ No newline at end of file diff --git a/ml4co_kit/utils/mcl_utils.py b/ml4co_kit/utils/mcl_utils.py new file mode 100644 index 0000000..d2e8905 --- /dev/null +++ b/ml4co_kit/utils/mcl_utils.py @@ -0,0 +1,194 @@ +import os +import bz2 +import lzma +import gzip +import codecs +import pickle +import itertools +import numpy as np +import networkx as nx +from tqdm import tqdm +from typing import Tuple +from collections import OrderedDict +from ml4co_kit.utils.graph_utils import GraphData + + +class FileObject(object): + def __init__(self, name, mode="r", compression=None): + self.fp = None + self.ctype = None + self.fp_extra = None + self.open(name, mode=mode, compression=compression) + + def open(self, name, mode="r", compression=None): + if compression == "use_ext": + self.get_compression_type(name) + else: + self.ctype = compression + + if not self.ctype: + self.fp = open(name, mode) + elif self.ctype == "gzip": + self.fp = gzip.open(name, mode + "t") + elif self.ctype == "bzip2": + try: + self.fp = bz2.open(name, mode + "t") + except: + self.fp_extra = bz2.BZ2File(name, mode) + if mode == "r": + self.fp = codecs.getreader("ascii")(self.fp_extra) + else: + self.fp = codecs.getwriter("ascii")(self.fp_extra) + else: + self.fp = lzma.open(name, mode=mode + "t") + + def close(self): + if self.fp: + self.fp.close() + self.fp = None + + if self.fp_extra: + self.fp_extra.close() + self.fp_extra = None + + self.ctype = None + + def get_compression_type(self, file_name): + ext = os.path.splitext(file_name)[1] + if ext == ".gz": + self.ctype = "gzip" + elif ext == ".bz2": + self.ctype = "bzip2" + elif ext in (".xz", ".lzma"): + self.ctype = "lzma" + else: + self.ctype = None + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.close() + + +class MClGraphData(GraphData): + def __init__(self): + super(MClGraphData, self).__init__() + self.nodes_label: np.ndarray = None + self.ref_nodes_label: np.ndarray = None + self.sel_nodes_num: np.ndarray = None + self.ref_sel_nodes_num: np.ndarray = None + self.self_loop = None + + def check_edge_index(self): + if self.edge_index is not None: + shape = self.edge_index.shape + if len(shape) != 2 or shape[0] != 2: + raise ValueError("The shape of ``edge_index`` must be like (2, E)") + + def check_nodes_label(self, ref: bool): + nodes_label = self.ref_nodes_label if ref else self.nodes_label + name = "ref_nodes_label" if ref else "nodes_label" + if nodes_label is not None: + if nodes_label.ndim != 1: + raise ValueError(f"The dimensions of ``{name}`` must be 1.") + + if self.nodes_num is not None: + if len(self.nodes_label) != self.nodes_num: + message = ( + f"The number of nodes in the {name} does not match that of " + "the problem. Please check the solution." + ) + raise ValueError(message) + else: + self.nodes_num = len(nodes_label) + + def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop + return super().from_adj_martix( + adj_matrix=adj_matrix, + zero_or_one="one", + type="zero-one", + self_loop=self.self_loop + ) + + def from_gpickle( + self, file_path: str, self_loop: bool = True + ): + # check file format + if not file_path.endswith(".gpickle"): + raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") + + # read graph data from .gpickle + with open(file_path, "rb") as f: + graph = pickle.load(f) + graph: nx.Graph + + # nodes num + self.nodes_num = graph.number_of_nodes() + + # edges + edges = np.array(graph.edges, dtype=np.int64) + edges = np.concatenate([edges, edges[:, ::-1]], axis=0) + self.self_loop = self_loop + if self.self_loop: + self_loop: np.ndarray = np.arange(self.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edges = np.concatenate([self_loop, edges], axis=0) + edges = edges.T + + # use ``from_data`` + self.from_data(edge_index=edges) + + def from_result(self, file_path: str, ref: bool = False): + # check file format + if not file_path.endswith(".result"): + raise ValueError("Invalid file format. Expected a ``.result`` file.") + + # read solution from file + with open(file_path, "r") as f: + nodes_label = [int(_) for _ in f.read().splitlines()] + nodes_label = np.array(nodes_label, dtype=np.int64) + + # use ``from_data`` + self.from_data(nodes_label=nodes_label, ref=ref) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + self.check_edge_index() + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + self.check_nodes_label(ref=ref) + + def evaluate(self, calculate_gap: bool = False): + # solved solution + if self.sel_nodes_num is None: + if self.nodes_label is None: + raise ValueError( + "``sel_nodes_num`` cannot be None! You can use solvers based on " + "``MClSolver``like ``KaMIS`` to get the ``sel_nodes_num``." + ) + self.sel_nodes_num = np.sum(self.nodes_label) + + # ground truth + if calculate_gap: + if self.ref_sel_nodes_num is None: + if self.ref_nodes_label is None: + raise ValueError( + "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " + "``MClSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." + ) + self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) + gap = - (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num + return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) + else: + return self.sel_nodes_num \ No newline at end of file diff --git a/ml4co_kit/utils/mvc_utils.py b/ml4co_kit/utils/mvc_utils.py new file mode 100644 index 0000000..bb17b58 --- /dev/null +++ b/ml4co_kit/utils/mvc_utils.py @@ -0,0 +1,194 @@ +import os +import bz2 +import lzma +import gzip +import codecs +import pickle +import itertools +import numpy as np +import networkx as nx +from tqdm import tqdm +from typing import Tuple +from collections import OrderedDict +from ml4co_kit.utils.graph_utils import GraphData + + +class FileObject(object): + def __init__(self, name, mode="r", compression=None): + self.fp = None + self.ctype = None + self.fp_extra = None + self.open(name, mode=mode, compression=compression) + + def open(self, name, mode="r", compression=None): + if compression == "use_ext": + self.get_compression_type(name) + else: + self.ctype = compression + + if not self.ctype: + self.fp = open(name, mode) + elif self.ctype == "gzip": + self.fp = gzip.open(name, mode + "t") + elif self.ctype == "bzip2": + try: + self.fp = bz2.open(name, mode + "t") + except: + self.fp_extra = bz2.BZ2File(name, mode) + if mode == "r": + self.fp = codecs.getreader("ascii")(self.fp_extra) + else: + self.fp = codecs.getwriter("ascii")(self.fp_extra) + else: + self.fp = lzma.open(name, mode=mode + "t") + + def close(self): + if self.fp: + self.fp.close() + self.fp = None + + if self.fp_extra: + self.fp_extra.close() + self.fp_extra = None + + self.ctype = None + + def get_compression_type(self, file_name): + ext = os.path.splitext(file_name)[1] + if ext == ".gz": + self.ctype = "gzip" + elif ext == ".bz2": + self.ctype = "bzip2" + elif ext in (".xz", ".lzma"): + self.ctype = "lzma" + else: + self.ctype = None + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.close() + + +class MVCGraphData(GraphData): + def __init__(self): + super(MVCGraphData, self).__init__() + self.nodes_label: np.ndarray = None + self.ref_nodes_label: np.ndarray = None + self.sel_nodes_num: np.ndarray = None + self.ref_sel_nodes_num: np.ndarray = None + self.self_loop = None + + def check_edge_index(self): + if self.edge_index is not None: + shape = self.edge_index.shape + if len(shape) != 2 or shape[0] != 2: + raise ValueError("The shape of ``edge_index`` must be like (2, E)") + + def check_nodes_label(self, ref: bool): + nodes_label = self.ref_nodes_label if ref else self.nodes_label + name = "ref_nodes_label" if ref else "nodes_label" + if nodes_label is not None: + if nodes_label.ndim != 1: + raise ValueError(f"The dimensions of ``{name}`` must be 1.") + + if self.nodes_num is not None: + if len(self.nodes_label) != self.nodes_num: + message = ( + f"The number of nodes in the {name} does not match that of " + "the problem. Please check the solution." + ) + raise ValueError(message) + else: + self.nodes_num = len(nodes_label) + + def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop + return super().from_adj_martix( + adj_matrix=adj_matrix, + zero_or_one="one", + type="zero-one", + self_loop=self.self_loop + ) + + def from_gpickle( + self, file_path: str, self_loop: bool = True + ): + # check file format + if not file_path.endswith(".gpickle"): + raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") + + # read graph data from .gpickle + with open(file_path, "rb") as f: + graph = pickle.load(f) + graph: nx.Graph + + # nodes num + self.nodes_num = graph.number_of_nodes() + + # edges + edges = np.array(graph.edges, dtype=np.int64) + edges = np.concatenate([edges, edges[:, ::-1]], axis=0) + self.self_loop = self_loop + if self.self_loop: + self_loop: np.ndarray = np.arange(self.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edges = np.concatenate([self_loop, edges], axis=0) + edges = edges.T + + # use ``from_data`` + self.from_data(edge_index=edges) + + def from_result(self, file_path: str, ref: bool = False): + # check file format + if not file_path.endswith(".result"): + raise ValueError("Invalid file format. Expected a ``.result`` file.") + + # read solution from file + with open(file_path, "r") as f: + nodes_label = [int(_) for _ in f.read().splitlines()] + nodes_label = np.array(nodes_label, dtype=np.int64) + + # use ``from_data`` + self.from_data(nodes_label=nodes_label, ref=ref) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + self.check_edge_index() + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + self.check_nodes_label(ref=ref) + + def evaluate(self, calculate_gap: bool = False): + # solved solution + if self.sel_nodes_num is None: + if self.nodes_label is None: + raise ValueError( + "``sel_nodes_num`` cannot be None! You can use solvers based on " + "``MVCSolver``like ``KaMIS`` to get the ``sel_nodes_num``." + ) + self.sel_nodes_num = np.sum(self.nodes_label) + + # ground truth + if calculate_gap: + if self.ref_sel_nodes_num is None: + if self.ref_nodes_label is None: + raise ValueError( + "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " + "``MVCSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." + ) + self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) + gap = (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num + return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) + else: + return self.sel_nodes_num \ No newline at end of file From 3681a49d8be53ebf1c0415f305dd3ec86b36437b Mon Sep 17 00:00:00 2001 From: heatingma Date: Tue, 29 Oct 2024 02:41:01 +0800 Subject: [PATCH 3/9] Support MC, MCl, MVC & Enhanced code reusability --- .gitignore | 5 +- LKH-3.0.7.tgz6jzle0xx.tmp | Bin 0 -> 1916928 bytes README.md | 10 +- codecov.yml | 1 - ml4co_kit/__init__.py | 74 +- .../source/cython_tsp_greedy.c | 31229 ---------------- ml4co_kit/generator/__init__.py | 9 +- ml4co_kit/generator/atsp_data.py | 22 +- ml4co_kit/generator/cvrp_data.py | 38 +- ml4co_kit/generator/mc_data.py | 273 + ml4co_kit/generator/mcl_data.py | 247 + ml4co_kit/generator/mis_data.py | 174 +- ml4co_kit/generator/mvc_data.py | 266 + ml4co_kit/generator/tsp_data.py | 22 +- ml4co_kit/solver/__init__.py | 37 +- ml4co_kit/solver/atsp/base.py | 13 +- ml4co_kit/solver/atsp/lkh.py | 11 +- ml4co_kit/solver/base.py | 31 + ml4co_kit/solver/cvrp/base.py | 10 +- ml4co_kit/solver/cvrp/hgs.py | 11 +- ml4co_kit/solver/cvrp/lkh.py | 5 +- ml4co_kit/solver/cvrp/pyvrp.py | 5 +- ml4co_kit/solver/mc/base.py | 58 +- ml4co_kit/solver/mc/gurobi.py | 101 + ml4co_kit/solver/mcl/base.py | 31 +- ml4co_kit/solver/mcl/gurobi.py | 106 + ml4co_kit/solver/mis/base.py | 31 +- ml4co_kit/solver/mis/gurobi.py | 371 +- ml4co_kit/solver/mis/kamis.py | 15 +- ml4co_kit/solver/mvc/base.py | 29 +- ml4co_kit/solver/mvc/gurobi.py | 105 + ml4co_kit/solver/tsp/base.py | 13 +- ml4co_kit/solver/tsp/concorde.py | 33 +- ml4co_kit/solver/tsp/concorde_large.py | 27 +- ml4co_kit/solver/tsp/ga_eax_large.py | 31 +- ml4co_kit/solver/tsp/ga_eax_normal.py | 31 +- ml4co_kit/solver/tsp/lkh.py | 31 +- ml4co_kit/utils/__init__.py | 10 +- ml4co_kit/utils/graph/__init__.py | 5 + .../utils/{graph_utils.py => graph/base.py} | 119 + ml4co_kit/utils/{mc_utils.py => graph/mc.py} | 111 +- ml4co_kit/utils/graph/mcl.py | 86 + ml4co_kit/utils/graph/mis.py | 86 + ml4co_kit/utils/graph/mvc.py | 86 + ml4co_kit/utils/mcl_utils.py | 194 - ml4co_kit/utils/mis_utils.py | 126 +- ml4co_kit/utils/mvc_utils.py | 194 - .../utils/{run_utils.py => time_utils.py} | 24 +- ml4co_kit/utils/type_utils.py | 40 +- tests/data_for_tests/solver/mc/mc_example.txt | 16 + .../data_for_tests/solver/mcl/mcl_example.txt | 16 + .../data_for_tests/solver/mis/mis_example.txt | 20 +- .../CBS_k3_n100_m429_b50_1_unweighted.result | 206 +- .../mis_example_cnf/mis/solution/results.json | 262 +- .../data_for_tests/solver/mvc/mvc_example.txt | 16 + tests/test_generator.py | 542 +- tests/test_solver.py | 564 +- 57 files changed, 3172 insertions(+), 33057 deletions(-) create mode 100644 LKH-3.0.7.tgz6jzle0xx.tmp delete mode 100644 ml4co_kit/algorithm/tsp/decoder/cython_tsp_greedy/source/cython_tsp_greedy.c create mode 100644 ml4co_kit/generator/mc_data.py create mode 100644 ml4co_kit/generator/mcl_data.py create mode 100644 ml4co_kit/generator/mvc_data.py create mode 100644 ml4co_kit/solver/base.py create mode 100644 ml4co_kit/solver/mc/gurobi.py create mode 100644 ml4co_kit/solver/mcl/gurobi.py create mode 100644 ml4co_kit/solver/mvc/gurobi.py create mode 100644 ml4co_kit/utils/graph/__init__.py rename ml4co_kit/utils/{graph_utils.py => graph/base.py} (52%) rename ml4co_kit/utils/{mc_utils.py => graph/mc.py} (55%) create mode 100644 ml4co_kit/utils/graph/mcl.py create mode 100644 ml4co_kit/utils/graph/mis.py create mode 100644 ml4co_kit/utils/graph/mvc.py delete mode 100644 ml4co_kit/utils/mcl_utils.py delete mode 100644 ml4co_kit/utils/mvc_utils.py rename ml4co_kit/utils/{run_utils.py => time_utils.py} (50%) create mode 100644 tests/data_for_tests/solver/mc/mc_example.txt create mode 100644 tests/data_for_tests/solver/mcl/mcl_example.txt create mode 100644 tests/data_for_tests/solver/mvc/mvc_example.txt diff --git a/.gitignore b/.gitignore index 66d1d9e..ba40229 100644 --- a/.gitignore +++ b/.gitignore @@ -55,4 +55,7 @@ tests/data_for_tests/draw/mis/mis_draw_example/solution/** tests/data_for_tests/draw/mis/mis_draw_example_solution.png tests/data_for_tests/draw/mis/mis_draw_example_problem.png tests/data_for_tests/draw/cvrp/cvrp_draw_example_problem.png -tests/data_for_tests/draw/cvrp/cvrp_draw_example_solution.png \ No newline at end of file +tests/data_for_tests/draw/cvrp/cvrp_draw_example_solution.png + +# special +ml4co_kit/algorithm/tsp/decoder/cython_tsp_greedy/source/cython_tsp_greedy.c \ No newline at end of file diff --git a/LKH-3.0.7.tgz6jzle0xx.tmp b/LKH-3.0.7.tgz6jzle0xx.tmp new file mode 100644 index 0000000000000000000000000000000000000000..2412b4d9e7e236ecf832f01bc04aa4cf13f59516 GIT binary patch literal 1916928 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+15,13 @@ This repository focuses on the supporting code for method development instead of | Problem | Data | solver | Supervision | evaluator | visualization | | :-----: | :--------------------------------: | :-----------: | :-------------------: | :-------: | :---------------------: | -| TSP | Uniform, Gaussian, Cluster, TSPLIB | LKH, Concorde, Concorde-Large, GA-EAX, GA-EAX-Large | Solution, Edge Regret | ✔ | Problem Graph, Solution | -| MIS | SATLIB, ER, BA, HK, WS | KaMIS, Gurobi | Solution | ✔ | Problem Graph, Solution | -| CVRP | Uniform, Gaussian, VRPLIB | PyVRP, LKH, HGS | Solution | ✔ | Problem Graph, Solution | | ATSP | SAT, HCP | LKH | Solution | ✔ | -- | - +| CVRP | Uniform, Gaussian, VRPLIB | PyVRP, LKH, HGS | Solution | ✔ | Problem Graph, Solution | +| MC | SATLIB, ER, BA, HK, WS | Gurobi | Solution | ✔ | Problem Graph, Solution | +| MCl | SATLIB, ER, BA, HK, WS | Gurobi | Solution | ✔ | Problem Graph, Solution | +| MIS | SATLIB, ER, BA, HK, WS | KaMIS, Gurobi | Solution | ✔ | Problem Graph, Solution | +| MVC | SATLIB, ER, BA, HK, WS | Gurobi | Solution | ✔ | Problem Graph, Solution | +| TSP | Uniform, Gaussian, Cluster, TSPLIB | LKH, Concorde, Concorde-Large, GA-EAX, GA-EAX-Large | Solution, Edge Regret | ✔ | Problem Graph, Solution | ###### ML4CO Organization: Organization diff --git a/codecov.yml b/codecov.yml index 83888f8..444e445 100644 --- a/codecov.yml +++ b/codecov.yml @@ -13,7 +13,6 @@ coverage: informational: true ignore: - - ml4co_kit/solver/mis/gurobi.py - ml4co_kit/solver/tsp/pyconcorde/setup.py - ml4co_kit/learning/** - ml4co_kit/solver/tsp/concorde_large.py \ No newline at end of file diff --git a/ml4co_kit/__init__.py b/ml4co_kit/__init__.py index 3b3d42b..f7004a1 100644 --- a/ml4co_kit/__init__.py +++ b/ml4co_kit/__init__.py @@ -1,28 +1,70 @@ import importlib.util -# base -from .algorithm import tsp_greedy_decoder, tsp_insertion_decoder, tsp_mcts_decoder -from .algorithm import tsp_mcts_local_search -from .algorithm import atsp_greedy_decoder -from .algorithm import atsp_2opt_local_search -from .data import TSPLIBOriDataset, TSPUniformDataset, TSPLIB4MLDataset, ML4TSPDataset -from .data import SATLIBOriDataset +####################################################### +# Support # +####################################################### +from .utils.type_utils import TASK_TYPE, SOLVER_TYPE, TASK_SUPPORT_SOLVER + +####################################################### +# Algorithm # +####################################################### +from .algorithm import atsp_greedy_decoder, atsp_2opt_local_search +from .algorithm import ( + tsp_greedy_decoder, tsp_insertion_decoder, tsp_mcts_decoder, tsp_mcts_local_search +) + +####################################################### +# Free Dataset # +####################################################### from .data import VRPLIBOriDataset, CVRPUniformDataset -from .evaluate import TSPEvaluator, TSPLIBOriEvaluator, TSPLIB4MLEvaluator, TSPUniformEvaluator -from .evaluate import SATLIBEvaluator -from .evaluate import CVRPEvaluator, CVRPUniformEvaluator +from .data import SATLIBOriDataset +from .data import TSPLIBOriDataset, TSPUniformDataset, TSPLIB4MLDataset, ML4TSPDataset + +####################################################### +# Evaluator # +####################################################### from .evaluate import ATSPEvaluator -from .generator import TSPDataGenerator, MISDataGenerator, CVRPDataGenerator, ATSPDataGenerator -from .solver import TSPSolver, TSPLKHSolver, TSPConcordeSolver, TSPConcordeLargeSolver -from .solver import TSPGAEAXSolver, TSPGAEAXLargeSolver -from .solver import MISSolver, KaMISSolver, MISGurobiSolver, MVCSolver, MClSolver, MCSolver -from .solver import CVRPSolver, CVRPPyVRPSolver, CVRPLKHSolver, CVRPHGSSolver +from .evaluate import CVRPEvaluator, CVRPUniformEvaluator +from .evaluate import SATLIBEvaluator +from .evaluate import TSPEvaluator, TSPLIBOriEvaluator, TSPLIB4MLEvaluator, TSPUniformEvaluator + +####################################################### +# Data Generator # +####################################################### +from .generator import ATSPDataGenerator +from .generator import CVRPDataGenerator +from .generator import MCDataGenerator +from .generator import MClDataGenerator +from .generator import MISDataGenerator +from .generator import MVCDataGenerator +from .generator import TSPDataGenerator + +####################################################### +# Solver # +####################################################### from .solver import ATSPSolver, ATSPLKHSolver +from .solver import CVRPSolver, CVRPPyVRPSolver, CVRPLKHSolver, CVRPHGSSolver +from .solver import MCSolver, MCGurobiSolver +from .solver import MClSolver, MClGurobiSolver +from .solver import MISSolver, KaMISSolver, MISGurobiSolver +from .solver import MVCSolver, MVCGurobiSolver +from .solver import ( + TSPSolver, TSPLKHSolver, TSPConcordeSolver, + TSPConcordeLargeSolver, TSPGAEAXSolver, TSPGAEAXLargeSolver +) + +####################################################### +# Utils Function # +####################################################### from .utils import download, compress_folder, extract_archive, _get_md5 from .utils import iterative_execution_for_file, iterative_execution from .utils import np_dense_to_sparse, np_sparse_to_dense, GraphData, tsplib95 -from .utils import MISGraphData, MVCGraphData, MClGraphData, MCGraphData, sat_to_mis_graph, cnf_folder_to_gpickle_folder, cnf_to_gpickle +from .utils import MISGraphData, MVCGraphData, MClGraphData, MCGraphData +from .utils import sat_to_mis_graph, cnf_folder_to_gpickle_folder, cnf_to_gpickle +####################################################### +# Extension Function # +####################################################### # expand - matplotlib found_matplotlib = importlib.util.find_spec("matplotlib") if found_matplotlib is not None: diff --git a/ml4co_kit/algorithm/tsp/decoder/cython_tsp_greedy/source/cython_tsp_greedy.c b/ml4co_kit/algorithm/tsp/decoder/cython_tsp_greedy/source/cython_tsp_greedy.c deleted file mode 100644 index df743e3..0000000 --- a/ml4co_kit/algorithm/tsp/decoder/cython_tsp_greedy/source/cython_tsp_greedy.c +++ /dev/null @@ -1,31229 +0,0 @@ -/* Generated by Cython 3.0.10 */ - -/* BEGIN: Cython Metadata -{ - "distutils": { - "depends": [ - "/home/ubuntu/miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h", - "/home/ubuntu/miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h", - "/home/ubuntu/miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h", - "/home/ubuntu/miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h", - "/home/ubuntu/miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h" - ], - "extra_compile_args": [ - 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#ifdef _WIN64 - typedef unsigned long long __pyx_uintptr_t; - #else - typedef unsigned int __pyx_uintptr_t; - #endif - #else - #ifdef _WIN64 - typedef unsigned __int64 __pyx_uintptr_t; - #else - typedef unsigned __int32 __pyx_uintptr_t; - #endif - #endif -#else - #include - typedef uintptr_t __pyx_uintptr_t; -#endif -#ifndef CYTHON_FALLTHROUGH - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(fallthrough) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(fallthrough) - #define CYTHON_FALLTHROUGH [[fallthrough]] - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_cpp_attribute(clang::fallthrough) - #define CYTHON_FALLTHROUGH [[clang::fallthrough]] - #elif __has_cpp_attribute(gnu::fallthrough) - #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] - #endif - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_attribute(fallthrough) - #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) - #else - #define CYTHON_FALLTHROUGH - #endif - #endif - #if defined(__clang__) && defined(__apple_build_version__) - #if __apple_build_version__ < 7000000 - #undef CYTHON_FALLTHROUGH - #define CYTHON_FALLTHROUGH - #endif - #endif -#endif -#ifdef __cplusplus - template - struct __PYX_IS_UNSIGNED_IMPL {static const bool value = T(0) < T(-1);}; - #define __PYX_IS_UNSIGNED(type) (__PYX_IS_UNSIGNED_IMPL::value) -#else - #define __PYX_IS_UNSIGNED(type) (((type)-1) > 0) -#endif -#if CYTHON_COMPILING_IN_PYPY == 1 - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x030A0000) -#else - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000) -#endif -#define __PYX_REINTERPRET_FUNCION(func_pointer, other_pointer) ((func_pointer)(void(*)(void))(other_pointer)) - -#ifndef CYTHON_INLINE - #if defined(__clang__) - #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) - #elif defined(__GNUC__) - #define CYTHON_INLINE __inline__ - #elif defined(_MSC_VER) - #define CYTHON_INLINE __inline - #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define CYTHON_INLINE inline - #else - #define CYTHON_INLINE - #endif -#endif - -#define __PYX_BUILD_PY_SSIZE_T "n" -#define CYTHON_FORMAT_SSIZE_T "z" -#if PY_MAJOR_VERSION < 3 - #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" - #define __Pyx_DefaultClassType PyClass_Type - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#else - #define __Pyx_BUILTIN_MODULE_NAME "builtins" - #define __Pyx_DefaultClassType PyType_Type -#if CYTHON_COMPILING_IN_LIMITED_API - static CYTHON_INLINE PyObject* __Pyx_PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyObject *exception_table = NULL; - PyObject *types_module=NULL, *code_type=NULL, *result=NULL; - #if __PYX_LIMITED_VERSION_HEX < 0x030B0000 - PyObject *version_info; - PyObject *py_minor_version = NULL; - #endif - long minor_version = 0; - PyObject *type, *value, *traceback; - PyErr_Fetch(&type, &value, &traceback); - #if __PYX_LIMITED_VERSION_HEX >= 0x030B0000 - minor_version = 11; - #else - if (!(version_info = PySys_GetObject("version_info"))) goto end; - if (!(py_minor_version = PySequence_GetItem(version_info, 1))) goto end; - minor_version = PyLong_AsLong(py_minor_version); - Py_DECREF(py_minor_version); - if (minor_version == -1 && PyErr_Occurred()) goto end; - #endif - if (!(types_module = PyImport_ImportModule("types"))) goto end; - if (!(code_type = PyObject_GetAttrString(types_module, "CodeType"))) goto end; - if (minor_version <= 7) { - (void)p; - result = PyObject_CallFunction(code_type, "iiiiiOOOOOOiOO", a, k, l, s, f, code, - c, n, v, fn, name, fline, lnos, fv, cell); - } else if (minor_version <= 10) { - result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOiOO", a,p, k, l, s, f, code, - c, n, v, fn, name, fline, lnos, fv, cell); - } else { - if (!(exception_table = PyBytes_FromStringAndSize(NULL, 0))) goto end; - result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOOiOO", a,p, k, l, s, f, code, - c, n, v, fn, name, name, fline, lnos, exception_table, fv, cell); - } - end: - Py_XDECREF(code_type); - Py_XDECREF(exception_table); - Py_XDECREF(types_module); - if (type) { - PyErr_Restore(type, value, traceback); - } - return result; - } - #ifndef CO_OPTIMIZED - #define CO_OPTIMIZED 0x0001 - #endif - #ifndef CO_NEWLOCALS - #define CO_NEWLOCALS 0x0002 - #endif - #ifndef CO_VARARGS - #define CO_VARARGS 0x0004 - #endif - #ifndef CO_VARKEYWORDS - #define CO_VARKEYWORDS 0x0008 - #endif - #ifndef CO_ASYNC_GENERATOR - #define CO_ASYNC_GENERATOR 0x0200 - #endif - #ifndef CO_GENERATOR - #define CO_GENERATOR 0x0020 - #endif - #ifndef CO_COROUTINE - #define CO_COROUTINE 0x0080 - #endif -#elif PY_VERSION_HEX >= 0x030B0000 - static CYTHON_INLINE PyCodeObject* __Pyx_PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyCodeObject *result; - PyObject *empty_bytes = PyBytes_FromStringAndSize("", 0); - if (!empty_bytes) return NULL; - result = - #if PY_VERSION_HEX >= 0x030C0000 - PyUnstable_Code_NewWithPosOnlyArgs - #else - PyCode_NewWithPosOnlyArgs - #endif - (a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, name, fline, lnos, empty_bytes); - Py_DECREF(empty_bytes); - return result; - } -#elif PY_VERSION_HEX >= 0x030800B2 && !CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_NewWithPosOnlyArgs(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#else - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#endif -#endif -#if PY_VERSION_HEX >= 0x030900A4 || defined(Py_IS_TYPE) - #define __Pyx_IS_TYPE(ob, type) Py_IS_TYPE(ob, type) -#else - #define __Pyx_IS_TYPE(ob, type) (((const PyObject*)ob)->ob_type == (type)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_Is) - #define __Pyx_Py_Is(x, y) Py_Is(x, y) -#else - #define __Pyx_Py_Is(x, y) ((x) == (y)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsNone) - #define __Pyx_Py_IsNone(ob) Py_IsNone(ob) -#else - #define __Pyx_Py_IsNone(ob) __Pyx_Py_Is((ob), Py_None) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsTrue) - #define __Pyx_Py_IsTrue(ob) Py_IsTrue(ob) -#else - #define __Pyx_Py_IsTrue(ob) __Pyx_Py_Is((ob), Py_True) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsFalse) - #define __Pyx_Py_IsFalse(ob) Py_IsFalse(ob) -#else - #define __Pyx_Py_IsFalse(ob) __Pyx_Py_Is((ob), Py_False) -#endif -#define __Pyx_NoneAsNull(obj) (__Pyx_Py_IsNone(obj) ? NULL : (obj)) -#if PY_VERSION_HEX >= 0x030900F0 && !CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyObject_GC_IsFinalized(o) PyObject_GC_IsFinalized(o) -#else - #define __Pyx_PyObject_GC_IsFinalized(o) _PyGC_FINALIZED(o) -#endif -#ifndef CO_COROUTINE - #define CO_COROUTINE 0x80 -#endif -#ifndef CO_ASYNC_GENERATOR - #define CO_ASYNC_GENERATOR 0x200 -#endif -#ifndef Py_TPFLAGS_CHECKTYPES - #define Py_TPFLAGS_CHECKTYPES 0 -#endif -#ifndef Py_TPFLAGS_HAVE_INDEX - #define Py_TPFLAGS_HAVE_INDEX 0 -#endif -#ifndef Py_TPFLAGS_HAVE_NEWBUFFER - #define Py_TPFLAGS_HAVE_NEWBUFFER 0 -#endif -#ifndef Py_TPFLAGS_HAVE_FINALIZE - #define Py_TPFLAGS_HAVE_FINALIZE 0 -#endif -#ifndef Py_TPFLAGS_SEQUENCE - #define Py_TPFLAGS_SEQUENCE 0 -#endif -#ifndef Py_TPFLAGS_MAPPING - #define Py_TPFLAGS_MAPPING 0 -#endif -#ifndef METH_STACKLESS - #define METH_STACKLESS 0 -#endif -#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) - #ifndef METH_FASTCALL - #define METH_FASTCALL 0x80 - #endif - typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); - typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, - Py_ssize_t nargs, PyObject *kwnames); -#else - #if PY_VERSION_HEX >= 0x030d00A4 - # define __Pyx_PyCFunctionFast PyCFunctionFast - # define __Pyx_PyCFunctionFastWithKeywords PyCFunctionFastWithKeywords - #else - # define __Pyx_PyCFunctionFast _PyCFunctionFast - # define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords - #endif -#endif -#if CYTHON_METH_FASTCALL - #define __Pyx_METH_FASTCALL METH_FASTCALL - #define __Pyx_PyCFunction_FastCall __Pyx_PyCFunctionFast - #define __Pyx_PyCFunction_FastCallWithKeywords __Pyx_PyCFunctionFastWithKeywords -#else - #define __Pyx_METH_FASTCALL METH_VARARGS - #define __Pyx_PyCFunction_FastCall PyCFunction - #define __Pyx_PyCFunction_FastCallWithKeywords PyCFunctionWithKeywords -#endif -#if CYTHON_VECTORCALL - #define __pyx_vectorcallfunc vectorcallfunc - #define __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET PY_VECTORCALL_ARGUMENTS_OFFSET - #define __Pyx_PyVectorcall_NARGS(n) PyVectorcall_NARGS((size_t)(n)) -#elif CYTHON_BACKPORT_VECTORCALL - typedef PyObject *(*__pyx_vectorcallfunc)(PyObject *callable, PyObject *const *args, - size_t nargsf, PyObject *kwnames); - #define __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET ((size_t)1 << (8 * sizeof(size_t) - 1)) - #define __Pyx_PyVectorcall_NARGS(n) ((Py_ssize_t)(((size_t)(n)) & ~__Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET)) -#else - #define __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET 0 - #define __Pyx_PyVectorcall_NARGS(n) ((Py_ssize_t)(n)) -#endif -#if PY_MAJOR_VERSION >= 0x030900B1 -#define __Pyx_PyCFunction_CheckExact(func) PyCFunction_CheckExact(func) -#else -#define __Pyx_PyCFunction_CheckExact(func) PyCFunction_Check(func) -#endif -#define __Pyx_CyOrPyCFunction_Check(func) PyCFunction_Check(func) -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_CyOrPyCFunction_GET_FUNCTION(func) (((PyCFunctionObject*)(func))->m_ml->ml_meth) -#elif !CYTHON_COMPILING_IN_LIMITED_API -#define __Pyx_CyOrPyCFunction_GET_FUNCTION(func) PyCFunction_GET_FUNCTION(func) -#endif -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_CyOrPyCFunction_GET_FLAGS(func) (((PyCFunctionObject*)(func))->m_ml->ml_flags) -static CYTHON_INLINE PyObject* __Pyx_CyOrPyCFunction_GET_SELF(PyObject *func) { - return (__Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_STATIC) ? NULL : ((PyCFunctionObject*)func)->m_self; -} -#endif -static CYTHON_INLINE int __Pyx__IsSameCFunction(PyObject *func, void *cfunc) { -#if CYTHON_COMPILING_IN_LIMITED_API - return PyCFunction_Check(func) && PyCFunction_GetFunction(func) == (PyCFunction) cfunc; -#else - return PyCFunction_Check(func) && PyCFunction_GET_FUNCTION(func) == (PyCFunction) cfunc; -#endif -} -#define __Pyx_IsSameCFunction(func, cfunc) __Pyx__IsSameCFunction(func, cfunc) -#if __PYX_LIMITED_VERSION_HEX < 0x030900B1 - #define __Pyx_PyType_FromModuleAndSpec(m, s, b) ((void)m, PyType_FromSpecWithBases(s, b)) - typedef PyObject *(*__Pyx_PyCMethod)(PyObject *, PyTypeObject *, PyObject *const *, size_t, PyObject *); -#else - #define __Pyx_PyType_FromModuleAndSpec(m, s, b) PyType_FromModuleAndSpec(m, s, b) - #define __Pyx_PyCMethod PyCMethod -#endif -#ifndef METH_METHOD - #define METH_METHOD 0x200 -#endif -#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) - #define PyObject_Malloc(s) PyMem_Malloc(s) - #define PyObject_Free(p) PyMem_Free(p) - #define PyObject_Realloc(p) PyMem_Realloc(p) -#endif -#if CYTHON_COMPILING_IN_LIMITED_API - #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) - #define __Pyx_PyFrame_SetLineNumber(frame, lineno) -#else - #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) - #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) -#endif -#if CYTHON_COMPILING_IN_LIMITED_API - #define __Pyx_PyThreadState_Current PyThreadState_Get() -#elif !CYTHON_FAST_THREAD_STATE - #define __Pyx_PyThreadState_Current PyThreadState_GET() -#elif PY_VERSION_HEX >= 0x030d00A1 - #define __Pyx_PyThreadState_Current PyThreadState_GetUnchecked() -#elif PY_VERSION_HEX >= 0x03060000 - #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() -#elif PY_VERSION_HEX >= 0x03000000 - #define __Pyx_PyThreadState_Current PyThreadState_GET() -#else - #define __Pyx_PyThreadState_Current _PyThreadState_Current -#endif -#if CYTHON_COMPILING_IN_LIMITED_API -static CYTHON_INLINE void *__Pyx_PyModule_GetState(PyObject *op) -{ - void *result; - result = PyModule_GetState(op); - if (!result) - Py_FatalError("Couldn't find the module state"); - return result; -} -#endif -#define __Pyx_PyObject_GetSlot(obj, name, func_ctype) __Pyx_PyType_GetSlot(Py_TYPE(obj), name, func_ctype) -#if CYTHON_COMPILING_IN_LIMITED_API - #define __Pyx_PyType_GetSlot(type, name, func_ctype) ((func_ctype) PyType_GetSlot((type), Py_##name)) -#else - #define __Pyx_PyType_GetSlot(type, name, func_ctype) ((type)->name) -#endif -#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT) -#include "pythread.h" -#define Py_tss_NEEDS_INIT 0 -typedef int Py_tss_t; -static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { - *key = PyThread_create_key(); - return 0; -} -static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { - Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); - *key = Py_tss_NEEDS_INIT; - return key; -} -static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) { - PyObject_Free(key); -} -static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) { - return *key != Py_tss_NEEDS_INIT; -} -static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) { - PyThread_delete_key(*key); - *key = Py_tss_NEEDS_INIT; -} -static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { - return PyThread_set_key_value(*key, value); -} -static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { - return PyThread_get_key_value(*key); -} -#endif -#if PY_MAJOR_VERSION < 3 - #if CYTHON_COMPILING_IN_PYPY - #if PYPY_VERSION_NUM < 0x07030600 - #if defined(__cplusplus) && __cplusplus >= 201402L - [[deprecated("`with nogil:` inside a nogil function will not release the GIL in PyPy2 < 7.3.6")]] - #elif defined(__GNUC__) || defined(__clang__) - __attribute__ ((__deprecated__("`with nogil:` inside a nogil function will not release the GIL in PyPy2 < 7.3.6"))) - #elif defined(_MSC_VER) - __declspec(deprecated("`with nogil:` inside a nogil function will not release the GIL in PyPy2 < 7.3.6")) - #endif - static CYTHON_INLINE int PyGILState_Check(void) { - return 0; - } - #else // PYPY_VERSION_NUM < 0x07030600 - #endif // PYPY_VERSION_NUM < 0x07030600 - #else - static CYTHON_INLINE int PyGILState_Check(void) { - PyThreadState * tstate = _PyThreadState_Current; - return tstate && (tstate == PyGILState_GetThisThreadState()); - } - #endif -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030d0000 || defined(_PyDict_NewPresized) -#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? 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(sdigit) 0 : ((Py_SIZE(x) < 0) ? -(sdigit)__Pyx_PyLong_Digits(x)[0] : (sdigit)__Pyx_PyLong_Digits(x)[0])) - typedef sdigit __Pyx_compact_pylong; - typedef digit __Pyx_compact_upylong; - #endif - #if PY_VERSION_HEX >= 0x030C00A5 - #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->long_value.ob_digit) - #else - #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->ob_digit) - #endif -#endif -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII -#include -static int __Pyx_sys_getdefaultencoding_not_ascii; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - PyObject* ascii_chars_u = NULL; - PyObject* ascii_chars_b = NULL; - const char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - if (strcmp(default_encoding_c, "ascii") == 0) { - __Pyx_sys_getdefaultencoding_not_ascii = 0; - } else { - char ascii_chars[128]; - int c; - for (c = 0; c < 128; c++) { - ascii_chars[c] = (char) c; - } - __Pyx_sys_getdefaultencoding_not_ascii = 1; - ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); - if (!ascii_chars_u) goto bad; - ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); - if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { - PyErr_Format( - PyExc_ValueError, - "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", - default_encoding_c); - goto bad; - } - Py_DECREF(ascii_chars_u); - Py_DECREF(ascii_chars_b); - } - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - Py_XDECREF(ascii_chars_u); - Py_XDECREF(ascii_chars_b); - return -1; -} -#endif -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) -#else -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#include -static char* __PYX_DEFAULT_STRING_ENCODING; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); - if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; - strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - return -1; -} -#endif -#endif - - -/* Test for GCC > 2.95 */ -#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) - #define likely(x) __builtin_expect(!!(x), 1) - #define unlikely(x) __builtin_expect(!!(x), 0) -#else /* !__GNUC__ or GCC < 2.95 */ - #define likely(x) (x) - #define unlikely(x) (x) -#endif /* __GNUC__ */ -static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; 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- -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":734 - * ctypedef npy_int16 int16_t - * ctypedef npy_int32 int32_t - * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< - * #ctypedef npy_int96 int96_t - * #ctypedef npy_int128 int128_t - */ -typedef npy_int64 __pyx_t_5numpy_int64_t; - -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":738 - * #ctypedef npy_int128 int128_t - * - * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< - * ctypedef npy_uint16 uint16_t - * ctypedef npy_uint32 uint32_t - */ -typedef npy_uint8 __pyx_t_5numpy_uint8_t; - -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":739 - * - * ctypedef npy_uint8 uint8_t - * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< - * ctypedef npy_uint32 uint32_t - * ctypedef npy_uint64 uint64_t - */ -typedef npy_uint16 __pyx_t_5numpy_uint16_t; - -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":740 - * ctypedef npy_uint8 uint8_t - * ctypedef npy_uint16 uint16_t - * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< - * ctypedef npy_uint64 uint64_t - * #ctypedef npy_uint96 uint96_t - */ -typedef npy_uint32 __pyx_t_5numpy_uint32_t; - -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":741 - * ctypedef npy_uint16 uint16_t - * ctypedef npy_uint32 uint32_t - * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< - * #ctypedef npy_uint96 uint96_t - * #ctypedef npy_uint128 uint128_t - */ -typedef npy_uint64 __pyx_t_5numpy_uint64_t; - -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":745 - * #ctypedef npy_uint128 uint128_t - * - * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< - * ctypedef npy_float64 float64_t - * #ctypedef npy_float80 float80_t - */ -typedef npy_float32 __pyx_t_5numpy_float32_t; - -/* "../../../../../../../../../miniconda3/envs/ml4opt/lib/python3.8/site-packages/numpy/__init__.cython-30.pxd":746 - * - * ctypedef npy_float32 float32_t - * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< - * #ctypedef npy_float80 float80_t - * #ctypedef npy_float128 float128_t - */ -typedef npy_float64 __pyx_t_5numpy_float64_t; 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-#else -#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) -#endif - -/* PyObjectGetAttrStrNoError.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name); - -/* GetBuiltinName.proto */ -static PyObject *__Pyx_GetBuiltinName(PyObject *name); - -/* RaiseException.proto */ -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); - -/* PyFunctionFastCall.proto */ -#if CYTHON_FAST_PYCALL -#if !CYTHON_VECTORCALL -#define __Pyx_PyFunction_FastCall(func, args, nargs)\ - __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL) -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs); -#endif -#define __Pyx_BUILD_ASSERT_EXPR(cond)\ - (sizeof(char [1 - 2*!(cond)]) - 1) -#ifndef Py_MEMBER_SIZE -#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) -#endif -#if !CYTHON_VECTORCALL -#if PY_VERSION_HEX >= 0x03080000 - #include "frameobject.h" -#if PY_VERSION_HEX >= 0x030b00a6 && !CYTHON_COMPILING_IN_LIMITED_API - #ifndef Py_BUILD_CORE - #define Py_BUILD_CORE 1 - #endif - #include "internal/pycore_frame.h" -#endif - #define __Pxy_PyFrame_Initialize_Offsets() - #define __Pyx_PyFrame_GetLocalsplus(frame) ((frame)->f_localsplus) -#else - static size_t __pyx_pyframe_localsplus_offset = 0; - #include "frameobject.h" - #define __Pxy_PyFrame_Initialize_Offsets()\ - ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ - (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) - #define __Pyx_PyFrame_GetLocalsplus(frame)\ - (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) -#endif -#endif -#endif - -/* PyObjectCall.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); -#else -#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) -#endif - -/* PyObjectCallMethO.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); -#endif - -/* PyObjectFastCall.proto */ -#define __Pyx_PyObject_FastCall(func, args, nargs) __Pyx_PyObject_FastCallDict(func, args, (size_t)(nargs), NULL) -static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject **args, size_t nargs, PyObject *kwargs); - -/* RaiseUnexpectedTypeError.proto */ -static int __Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj); - -/* GCCDiagnostics.proto */ -#if !defined(__INTEL_COMPILER) && defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) -#define __Pyx_HAS_GCC_DIAGNOSTIC -#endif - -/* BuildPyUnicode.proto */ -static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, - int prepend_sign, char padding_char); - -/* CIntToPyUnicode.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char); - -/* CIntToPyUnicode.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char); - -/* JoinPyUnicode.proto */ -static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, - Py_UCS4 max_char); - -/* StrEquals.proto */ -#if PY_MAJOR_VERSION >= 3 -#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals -#else -#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals -#endif - -/* PyObjectFormatSimple.proto */ -#if CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - PyObject_Format(s, f)) -#elif PY_MAJOR_VERSION < 3 - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - likely(PyString_CheckExact(s)) ? PyUnicode_FromEncodedObject(s, NULL, "strict") :\ - PyObject_Format(s, f)) -#elif CYTHON_USE_TYPE_SLOTS - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - likely(PyLong_CheckExact(s)) ? PyLong_Type.tp_repr(s) :\ - likely(PyFloat_CheckExact(s)) ? PyFloat_Type.tp_repr(s) :\ - PyObject_Format(s, f)) -#else - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - PyObject_Format(s, f)) -#endif - -CYTHON_UNUSED static int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ -static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ -/* GetAttr.proto */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); - -/* GetItemInt.proto */ -#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ - __Pyx_GetItemInt_Generic(o, to_py_func(i)))) -#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ - (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck); -#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ - (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck); -static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, - int is_list, int wraparound, int boundscheck); - -/* PyObjectCallOneArg.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); - -/* ObjectGetItem.proto */ -#if CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key); -#else -#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key) -#endif - -/* KeywordStringCheck.proto */ -static int __Pyx_CheckKeywordStrings(PyObject *kw, const char* function_name, int kw_allowed); - -/* DivInt[Py_ssize_t].proto */ -static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); - -/* UnaryNegOverflows.proto */ -#define __Pyx_UNARY_NEG_WOULD_OVERFLOW(x)\ - (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) - -/* GetAttr3.proto */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); - -/* PyDictVersioning.proto */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) -#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ - (version_var) = __PYX_GET_DICT_VERSION(dict);\ - (cache_var) = (value); -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ - (VAR) = __pyx_dict_cached_value;\ - } else {\ - (VAR) = __pyx_dict_cached_value = (LOOKUP);\ - __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ - }\ -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); -#else -#define __PYX_GET_DICT_VERSION(dict) (0) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); -#endif - -/* GetModuleGlobalName.proto */ -#if CYTHON_USE_DICT_VERSIONS -#define __Pyx_GetModuleGlobalName(var, name) do {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ - (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} while(0) -#define __Pyx_GetModuleGlobalNameUncached(var, name) do {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} while(0) -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif - -/* AssertionsEnabled.proto */ -#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) - #define __Pyx_init_assertions_enabled() (0) - #define __pyx_assertions_enabled() (1) -#elif CYTHON_COMPILING_IN_LIMITED_API || (CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030C0000) - static int __pyx_assertions_enabled_flag; - #define __pyx_assertions_enabled() (__pyx_assertions_enabled_flag) - static int __Pyx_init_assertions_enabled(void) { - PyObject *builtins, *debug, *debug_str; - int flag; - builtins = PyEval_GetBuiltins(); - if (!builtins) goto bad; - debug_str = PyUnicode_FromStringAndSize("__debug__", 9); - if (!debug_str) goto bad; - debug = PyObject_GetItem(builtins, debug_str); - Py_DECREF(debug_str); - if (!debug) goto bad; - flag = PyObject_IsTrue(debug); - Py_DECREF(debug); - if (flag == -1) goto bad; - __pyx_assertions_enabled_flag = flag; - return 0; - bad: - __pyx_assertions_enabled_flag = 1; - return -1; - } -#else - #define __Pyx_init_assertions_enabled() (0) - #define __pyx_assertions_enabled() (!Py_OptimizeFlag) -#endif - -/* RaiseTooManyValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); - -/* RaiseNeedMoreValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); - -/* RaiseNoneIterError.proto */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); - -/* ExtTypeTest.proto */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); - -/* GetTopmostException.proto */ -#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE -static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); -#endif - -/* SaveResetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); -#else -#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) -#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) -#endif - -/* GetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* SwapException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* Import.proto */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); - -/* ImportDottedModule.proto */ -static PyObject *__Pyx_ImportDottedModule(PyObject *name, PyObject *parts_tuple); -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx_ImportDottedModule_WalkParts(PyObject *module, PyObject *name, PyObject *parts_tuple); -#endif - -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) -#endif -#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) - -CYTHON_UNUSED static int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ -/* ListCompAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len)) { - Py_INCREF(x); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 - L->ob_item[len] = x; - #else - PyList_SET_ITEM(list, len, x); - #endif - __Pyx_SET_SIZE(list, len + 1); - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) -#endif - -/* PySequenceMultiply.proto */ -#define __Pyx_PySequence_Multiply_Left(mul, seq) __Pyx_PySequence_Multiply(seq, mul) -static CYTHON_INLINE PyObject* __Pyx_PySequence_Multiply(PyObject *seq, Py_ssize_t mul); - -/* SetItemInt.proto */ -#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ - __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, - int is_list, int wraparound, int boundscheck); - -/* RaiseUnboundLocalError.proto */ -static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); - -/* DivInt[long].proto */ -static CYTHON_INLINE long __Pyx_div_long(long, long); - -/* PySequenceContains.proto */ -static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) { - int result = PySequence_Contains(seq, item); - return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); -} - -/* ImportFrom.proto */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); - -/* HasAttr.proto */ -#if __PYX_LIMITED_VERSION_HEX >= 0x030d00A1 -#define __Pyx_HasAttr(o, n) PyObject_HasAttrWithError(o, n) -#else -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); -#endif - -/* PyIntBinop.proto */ -#if !CYTHON_COMPILING_IN_PYPY -static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); -#else -#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\ - (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) -#endif - -/* BufferIndexError.proto */ -static void __Pyx_RaiseBufferIndexError(int axis); - -/* PyObject_GenericGetAttrNoDict.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr -#endif - -/* PyObject_GenericGetAttr.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr -#endif - -/* IncludeStructmemberH.proto */ -#include - -/* FixUpExtensionType.proto */ -#if CYTHON_USE_TYPE_SPECS -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type); -#endif - -/* PyObjectCallNoArg.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); - -/* PyObjectGetMethod.proto */ -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); - -/* PyObjectCallMethod0.proto */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); - -/* ValidateBasesTuple.proto */ -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS -static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases); -#endif - -/* PyType_Ready.proto */ -CYTHON_UNUSED static int __Pyx_PyType_Ready(PyTypeObject *t); - -/* SetVTable.proto */ -static int __Pyx_SetVtable(PyTypeObject* typeptr , void* vtable); - -/* GetVTable.proto */ -static void* __Pyx_GetVtable(PyTypeObject *type); - -/* MergeVTables.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_MergeVtables(PyTypeObject *type); -#endif - -/* SetupReduce.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_setup_reduce(PyObject* type_obj); -#endif - -/* TypeImport.proto */ -#ifndef __PYX_HAVE_RT_ImportType_proto_3_0_10 -#define __PYX_HAVE_RT_ImportType_proto_3_0_10 -#if defined (__STDC_VERSION__) && __STDC_VERSION__ >= 201112L -#include -#endif -#if (defined (__STDC_VERSION__) && __STDC_VERSION__ >= 201112L) || __cplusplus >= 201103L -#define __PYX_GET_STRUCT_ALIGNMENT_3_0_10(s) alignof(s) -#else -#define __PYX_GET_STRUCT_ALIGNMENT_3_0_10(s) sizeof(void*) -#endif -enum __Pyx_ImportType_CheckSize_3_0_10 { - __Pyx_ImportType_CheckSize_Error_3_0_10 = 0, - __Pyx_ImportType_CheckSize_Warn_3_0_10 = 1, - __Pyx_ImportType_CheckSize_Ignore_3_0_10 = 2 -}; 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-static PyObject * __Pyx_CyFunction_Vectorcall_O(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -#if CYTHON_BACKPORT_VECTORCALL -#define __Pyx_CyFunction_func_vectorcall(f) (((__pyx_CyFunctionObject*)f)->func_vectorcall) -#else -#define __Pyx_CyFunction_func_vectorcall(f) (((PyCFunctionObject*)f)->vectorcall) -#endif -#endif - -/* CythonFunction.proto */ -static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); - -/* CLineInTraceback.proto */ -#ifdef CYTHON_CLINE_IN_TRACEBACK -#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) -#else -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); -#endif - -/* CodeObjectCache.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -typedef struct { - PyCodeObject* code_object; - int code_line; -} __Pyx_CodeObjectCacheEntry; -struct __Pyx_CodeObjectCache { - int count; - int max_count; - __Pyx_CodeObjectCacheEntry* entries; -}; -static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static PyCodeObject *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); -#endif - -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); - -#if PY_MAJOR_VERSION < 3 - static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); - static void __Pyx_ReleaseBuffer(Py_buffer *view); -#else - #define __Pyx_GetBuffer PyObject_GetBuffer - #define __Pyx_ReleaseBuffer PyBuffer_Release -#endif - - -/* BufferStructDeclare.proto */ -typedef struct { - Py_ssize_t shape, strides, suboffsets; 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- -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag); - -/* MemviewDtypeToObject.proto */ -static CYTHON_INLINE PyObject *__pyx_memview_get_double(const char *itemp); -static CYTHON_INLINE int __pyx_memview_set_double(const char *itemp, PyObject *obj); - -/* MemviewDtypeToObject.proto */ -static CYTHON_INLINE PyObject *__pyx_memview_get_int(const char *itemp); -static CYTHON_INLINE int __pyx_memview_set_int(const char *itemp, PyObject *obj); - -/* RealImag.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - #define __Pyx_CREAL(z) ((z).real()) - #define __Pyx_CIMAG(z) ((z).imag()) - #else - #define __Pyx_CREAL(z) (__real__(z)) - #define __Pyx_CIMAG(z) (__imag__(z)) - #endif -#else - #define __Pyx_CREAL(z) ((z).real) - #define __Pyx_CIMAG(z) ((z).imag) -#endif -#if defined(__cplusplus) && CYTHON_CCOMPLEX\ - && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) - #define __Pyx_SET_CREAL(z,x) ((z).real(x)) - #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) -#else - #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) - #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_float(a, b) ((a)==(b)) - #define __Pyx_c_sum_float(a, b) ((a)+(b)) - #define __Pyx_c_diff_float(a, b) ((a)-(b)) - #define __Pyx_c_prod_float(a, b) ((a)*(b)) - #define __Pyx_c_quot_float(a, b) ((a)/(b)) - #define __Pyx_c_neg_float(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_float(z) ((z)==(float)0) - #define __Pyx_c_conj_float(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_float(z) (::std::abs(z)) - #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_float(z) ((z)==0) - #define __Pyx_c_conj_float(z) (conjf(z)) - #if 1 - #define __Pyx_c_abs_float(z) (cabsf(z)) - #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); - #endif -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_double(a, b) ((a)==(b)) - #define __Pyx_c_sum_double(a, b) ((a)+(b)) - #define __Pyx_c_diff_double(a, b) ((a)-(b)) - #define __Pyx_c_prod_double(a, b) ((a)*(b)) - #define __Pyx_c_quot_double(a, b) ((a)/(b)) - #define __Pyx_c_neg_double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_double(z) ((z)==(double)0) - #define __Pyx_c_conj_double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (::std::abs(z)) - #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_double(z) ((z)==0) - #define __Pyx_c_conj_double(z) (conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (cabs(z)) - #define __Pyx_c_pow_double(a, b) (cpow(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); - #endif -#endif - -/* MemviewSliceCopyTemplate.proto */ -static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object); - -/* MemviewSliceInit.proto */ -#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d -#define __Pyx_MEMVIEW_DIRECT 1 -#define __Pyx_MEMVIEW_PTR 2 -#define __Pyx_MEMVIEW_FULL 4 -#define __Pyx_MEMVIEW_CONTIG 8 -#define __Pyx_MEMVIEW_STRIDED 16 -#define __Pyx_MEMVIEW_FOLLOW 32 -#define __Pyx_IS_C_CONTIG 1 -#define __Pyx_IS_F_CONTIG 2 -static int __Pyx_init_memviewslice( - struct __pyx_memoryview_obj *memview, - int ndim, - __Pyx_memviewslice *memviewslice, - int memview_is_new_reference); -static CYTHON_INLINE int __pyx_add_acquisition_count_locked( - __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); -static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( - __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); -#define __pyx_get_slice_count_pointer(memview) (&memview->acquisition_count) -#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) -#define __PYX_XCLEAR_MEMVIEW(slice, have_gil) __Pyx_XCLEAR_MEMVIEW(slice, have_gil, __LINE__) -static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); -static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *, int, int); - -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); - -/* CIntFromPy.proto */ -static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); - -/* FormatTypeName.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%U" -static __Pyx_TypeName __Pyx_PyType_GetName(PyTypeObject* tp); -#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) -#else -typedef const char *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%.200s" -#define __Pyx_PyType_GetName(tp) ((tp)->tp_name) -#define __Pyx_DECREF_TypeName(obj) -#endif - -/* CheckBinaryVersion.proto */ -static unsigned long __Pyx_get_runtime_version(void); -static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer); - -/* InitStrings.proto */ -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); - -/* #### Code section: module_declarations ### */ -static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ -static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ -static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview__get_base(struct __pyx_memoryview_obj *__pyx_v_self); /* proto*/ -static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryviewslice__get_base(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base_base(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr_descr(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim_ndim(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape_shape(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides_strides(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size_size(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data_data(PyArrayObject *__pyx_v_self); /* proto*/ - -/* Module declarations from "libc.string" */ - -/* Module declarations from "libc.stdio" */ - -/* Module declarations from "__builtin__" */ - -/* Module declarations from "cpython.type" */ - -/* Module declarations from "cpython" */ - -/* Module declarations from "cpython.object" */ - -/* Module declarations from "cpython.ref" */ - -/* Module declarations from "numpy" */ - -/* Module declarations from "numpy" */ - -/* Module declarations from "cython.view" */ - -/* Module declarations from "cython.dataclasses" */ - -/* Module declarations from "cython" */ - -/* Module declarations from "libc.math" */ - -/* Module declarations from "cython_tsp_greedy" */ -static PyObject *__pyx_collections_abc_Sequence = 0; -static PyObject *generic = 0; -static PyObject *strided = 0; -static PyObject *indirect = 0; -static PyObject *contiguous = 0; -static PyObject *indirect_contiguous = 0; -static int __pyx_memoryview_thread_locks_used; -static PyThread_type_lock __pyx_memoryview_thread_locks[8]; -static PyObject *__pyx_f_17cython_tsp_greedy_cython_tsp_greedy(__Pyx_memviewslice, int __pyx_skip_dispatch); /*proto*/ -static PyObject *__pyx_f_17cython_tsp_greedy_find_begin(__Pyx_memviewslice, int, int __pyx_skip_dispatch); /*proto*/ -static PyObject *__pyx_f_17cython_tsp_greedy_find_end(__Pyx_memviewslice, int, int __pyx_skip_dispatch); /*proto*/ -static int __pyx_array_allocate_buffer(struct __pyx_array_obj *); /*proto*/ -static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ -static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ -static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ -static PyObject *_unellipsify(PyObject *, int); /*proto*/ -static int assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ -static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ -static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ -static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ -static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ -static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ -static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ -static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ -static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ -static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ -static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ -static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memoryview_err_dim(PyObject *, PyObject *, int); /*proto*/ -static int __pyx_memoryview_err(PyObject *, PyObject *); /*proto*/ -static int __pyx_memoryview_err_no_memory(void); /*proto*/ -static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ -static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ -static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ -static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ -/* #### Code section: typeinfo ### */ -static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 }; -static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, __PYX_IS_UNSIGNED(int) ? 'U' : 'I', __PYX_IS_UNSIGNED(int), 0 }; -/* #### Code section: before_global_var ### */ -#define __Pyx_MODULE_NAME "cython_tsp_greedy" -extern int __pyx_module_is_main_cython_tsp_greedy; -int __pyx_module_is_main_cython_tsp_greedy = 0; - -/* Implementation of "cython_tsp_greedy" */ -/* #### Code section: global_var ### */ -static PyObject *__pyx_builtin___import__; -static PyObject *__pyx_builtin_ValueError; -static PyObject *__pyx_builtin_MemoryError; -static PyObject *__pyx_builtin_enumerate; -static PyObject *__pyx_builtin_TypeError; -static PyObject *__pyx_builtin_range; -static PyObject *__pyx_builtin_AssertionError; -static PyObject *__pyx_builtin_Ellipsis; -static PyObject *__pyx_builtin_id; -static PyObject *__pyx_builtin_IndexError; -static PyObject *__pyx_builtin_ImportError; -/* #### Code section: string_decls ### */ -static const char __pyx_k_[] = ": "; -static const char __pyx_k_O[] = "O"; -static const char __pyx_k_c[] = "c"; -static const char __pyx_k_i[] = "i"; -static const char __pyx_k__2[] = "."; -static const char __pyx_k__3[] = "*"; -static const char __pyx_k__6[] = "'"; -static const char __pyx_k__7[] = ")"; -static const char __pyx_k_gc[] = "gc"; -static const char __pyx_k_id[] = "id"; -static const char __pyx_k_np[] = "np"; -static const char __pyx_k__28[] = "?"; -static const char __pyx_k_abc[] = "abc"; -static const char __pyx_k_and[] = " and "; -static const char __pyx_k_got[] = " (got "; -static const char __pyx_k_new[] = "__new__"; -static const char __pyx_k_obj[] = "obj"; -static const char __pyx_k_sys[] = "sys"; -static const char __pyx_k_base[] = "base"; -static const char __pyx_k_dict[] = "__dict__"; -static const char __pyx_k_main[] = "__main__"; -static const char __pyx_k_mode[] = "mode"; -static const char __pyx_k_name[] = "name"; -static const char __pyx_k_ndim[] = "ndim"; -static const char __pyx_k_pack[] = "pack"; -static const char __pyx_k_size[] = "size"; -static const char __pyx_k_spec[] = "__spec__"; -static const char __pyx_k_step[] = "step"; -static const char __pyx_k_stop[] = "stop"; -static const char __pyx_k_test[] = "__test__"; -static const char __pyx_k_ASCII[] = "ASCII"; -static const char __pyx_k_class[] = "__class__"; -static const char __pyx_k_count[] = "count"; -static const char __pyx_k_dtype[] = "dtype"; -static const char __pyx_k_error[] = "error"; -static const char __pyx_k_flags[] = "flags"; -static const char __pyx_k_index[] = "index"; -static const char __pyx_k_int32[] = "int32"; -static const char __pyx_k_numpy[] = "numpy"; -static const char __pyx_k_range[] = "range"; -static const char __pyx_k_shape[] = "shape"; -static const char __pyx_k_start[] = "start"; -static const char __pyx_k_zeros[] = "zeros"; -static const char __pyx_k_arange[] = "arange"; -static const char __pyx_k_astype[] = "astype"; -static const char __pyx_k_enable[] = "enable"; -static const char __pyx_k_encode[] = "encode"; -static const char __pyx_k_format[] = "format"; -static const char __pyx_k_import[] = "__import__"; -static const char __pyx_k_name_2[] = "__name__"; -static const char __pyx_k_pickle[] = "pickle"; -static const char __pyx_k_reduce[] = "__reduce__"; -static const char __pyx_k_struct[] = "struct"; -static const char __pyx_k_unpack[] = "unpack"; -static const char __pyx_k_update[] = "update"; -static const char __pyx_k_adj_mat[] = "adj_mat"; -static const char __pyx_k_argsort[] = "argsort"; -static const char __pyx_k_asarray[] = "asarray"; -static const char __pyx_k_disable[] = "disable"; -static const char __pyx_k_flatten[] = "flatten"; -static const char __pyx_k_fortran[] = "fortran"; -static const char __pyx_k_memview[] = "memview"; -static const char __pyx_k_Ellipsis[] = "Ellipsis"; -static const char __pyx_k_Sequence[] = "Sequence"; -static const char __pyx_k_find_end[] = "find_end"; -static const char __pyx_k_getstate[] = "__getstate__"; -static const char __pyx_k_itemsize[] = "itemsize"; -static const char __pyx_k_pyx_type[] = "__pyx_type"; -static const char __pyx_k_register[] = "register"; -static const char __pyx_k_setstate[] = "__setstate__"; -static const char __pyx_k_TypeError[] = "TypeError"; -static const char __pyx_k_enumerate[] = "enumerate"; -static const char __pyx_k_isenabled[] = "isenabled"; -static const char __pyx_k_pyx_state[] = "__pyx_state"; -static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; -static const char __pyx_k_route_end[] = "route_end"; -static const char __pyx_k_IndexError[] = "IndexError"; -static const char __pyx_k_ValueError[] = "ValueError"; -static const char __pyx_k_find_begin[] = "find_begin"; -static const char __pyx_k_pyx_result[] = "__pyx_result"; -static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; -static const char __pyx_k_ImportError[] = "ImportError"; -static const char __pyx_k_MemoryError[] = "MemoryError"; -static const char __pyx_k_PickleError[] = "PickleError"; -static const char __pyx_k_collections[] = "collections"; -static const char __pyx_k_route_begin[] = "route_begin"; -static const char __pyx_k_initializing[] = "_initializing"; -static const char __pyx_k_is_coroutine[] = "_is_coroutine"; -static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; -static const char __pyx_k_stringsource[] = ""; -static const char __pyx_k_version_info[] = "version_info"; -static const char __pyx_k_class_getitem[] = "__class_getitem__"; -static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; -static const char __pyx_k_AssertionError[] = "AssertionError"; -static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; -static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; -static const char __pyx_k_collections_abc[] = "collections.abc"; -static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; -static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; -static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; -static const char __pyx_k_cython_tsp_greedy[] = "cython_tsp_greedy"; -static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; -static const char __pyx_k_asyncio_coroutines[] = "asyncio.coroutines"; -static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; -static const char __pyx_k_strided_and_direct[] = ""; -static const char __pyx_k_strided_and_indirect[] = ""; -static const char __pyx_k_Invalid_shape_in_axis[] = "Invalid shape in axis "; -static const char __pyx_k_contiguous_and_direct[] = ""; -static const char __pyx_k_cython_tsp_greedy_pyx[] = "cython_tsp_greedy.pyx"; -static const char __pyx_k_Cannot_index_with_type[] = "Cannot index with type '"; -static const char __pyx_k_MemoryView_of_r_object[] = ""; -static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; -static const char __pyx_k_contiguous_and_indirect[] = ""; -static const char __pyx_k_Dimension_d_is_not_direct[] = "Dimension %d is not direct"; -static const char __pyx_k_Index_out_of_bounds_axis_d[] = "Index out of bounds (axis %d)"; -static const char __pyx_k_Step_may_not_be_zero_axis_d[] = "Step may not be zero (axis %d)"; -static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; -static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; -static const char __pyx_k_strided_and_direct_or_indirect[] = ""; -static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; -static const char __pyx_k_All_dimensions_preceding_dimensi[] = "All dimensions preceding dimension %d must be indexed and not sliced"; -static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; -static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; -static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview"; -static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview"; -static const char __pyx_k_Cannot_transpose_memoryview_with[] = "Cannot transpose memoryview with indirect dimensions"; -static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; -static const char __pyx_k_Incompatible_checksums_0x_x_vs_0[] = "Incompatible checksums (0x%x vs (0x82a3537, 0x6ae9995, 0xb068931) = (name))"; -static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; -static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got "; -static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis "; -static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; -static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension "; -static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__"; -static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import"; -static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; -/* #### Code section: decls ### */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static Py_ssize_t 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*__pyx_v_self, PyObject *__pyx_v_name); /* proto */ -static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ -static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj 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Py_VISIT(traverse_module_state->__pyx_tuple__20); - Py_VISIT(traverse_module_state->__pyx_tuple__22); - Py_VISIT(traverse_module_state->__pyx_tuple__24); - Py_VISIT(traverse_module_state->__pyx_tuple__26); - Py_VISIT(traverse_module_state->__pyx_codeobj__21); - Py_VISIT(traverse_module_state->__pyx_codeobj__23); - Py_VISIT(traverse_module_state->__pyx_codeobj__25); - Py_VISIT(traverse_module_state->__pyx_codeobj__27); - return 0; -} -#endif -/* #### Code section: module_state_defines ### */ -#define __pyx_d __pyx_mstate_global->__pyx_d -#define __pyx_b __pyx_mstate_global->__pyx_b -#define __pyx_cython_runtime __pyx_mstate_global->__pyx_cython_runtime -#define __pyx_empty_tuple __pyx_mstate_global->__pyx_empty_tuple -#define __pyx_empty_bytes __pyx_mstate_global->__pyx_empty_bytes -#define __pyx_empty_unicode __pyx_mstate_global->__pyx_empty_unicode -#ifdef __Pyx_CyFunction_USED -#define __pyx_CyFunctionType __pyx_mstate_global->__pyx_CyFunctionType -#endif -#ifdef __Pyx_FusedFunction_USED -#define __pyx_FusedFunctionType __pyx_mstate_global->__pyx_FusedFunctionType -#endif -#ifdef __Pyx_Generator_USED -#define __pyx_GeneratorType __pyx_mstate_global->__pyx_GeneratorType -#endif -#ifdef __Pyx_IterableCoroutine_USED -#define __pyx_IterableCoroutineType __pyx_mstate_global->__pyx_IterableCoroutineType -#endif -#ifdef __Pyx_Coroutine_USED -#define __pyx_CoroutineAwaitType __pyx_mstate_global->__pyx_CoroutineAwaitType -#endif -#ifdef __Pyx_Coroutine_USED -#define __pyx_CoroutineType __pyx_mstate_global->__pyx_CoroutineType -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#define __pyx_ptype_7cpython_4type_type __pyx_mstate_global->__pyx_ptype_7cpython_4type_type -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#define __pyx_ptype_5numpy_dtype __pyx_mstate_global->__pyx_ptype_5numpy_dtype -#define __pyx_ptype_5numpy_flatiter __pyx_mstate_global->__pyx_ptype_5numpy_flatiter -#define __pyx_ptype_5numpy_broadcast __pyx_mstate_global->__pyx_ptype_5numpy_broadcast -#define __pyx_ptype_5numpy_ndarray __pyx_mstate_global->__pyx_ptype_5numpy_ndarray -#define __pyx_ptype_5numpy_generic __pyx_mstate_global->__pyx_ptype_5numpy_generic -#define __pyx_ptype_5numpy_number __pyx_mstate_global->__pyx_ptype_5numpy_number -#define __pyx_ptype_5numpy_integer __pyx_mstate_global->__pyx_ptype_5numpy_integer -#define __pyx_ptype_5numpy_signedinteger __pyx_mstate_global->__pyx_ptype_5numpy_signedinteger -#define __pyx_ptype_5numpy_unsignedinteger __pyx_mstate_global->__pyx_ptype_5numpy_unsignedinteger -#define __pyx_ptype_5numpy_inexact __pyx_mstate_global->__pyx_ptype_5numpy_inexact -#define __pyx_ptype_5numpy_floating __pyx_mstate_global->__pyx_ptype_5numpy_floating -#define __pyx_ptype_5numpy_complexfloating __pyx_mstate_global->__pyx_ptype_5numpy_complexfloating -#define __pyx_ptype_5numpy_flexible __pyx_mstate_global->__pyx_ptype_5numpy_flexible -#define __pyx_ptype_5numpy_character __pyx_mstate_global->__pyx_ptype_5numpy_character -#define __pyx_ptype_5numpy_ufunc __pyx_mstate_global->__pyx_ptype_5numpy_ufunc -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#endif -#if CYTHON_USE_MODULE_STATE -#define __pyx_type___pyx_array __pyx_mstate_global->__pyx_type___pyx_array -#define __pyx_type___pyx_MemviewEnum __pyx_mstate_global->__pyx_type___pyx_MemviewEnum -#define __pyx_type___pyx_memoryview __pyx_mstate_global->__pyx_type___pyx_memoryview -#define __pyx_type___pyx_memoryviewslice __pyx_mstate_global->__pyx_type___pyx_memoryviewslice -#endif -#define __pyx_array_type __pyx_mstate_global->__pyx_array_type -#define __pyx_MemviewEnum_type __pyx_mstate_global->__pyx_MemviewEnum_type -#define __pyx_memoryview_type __pyx_mstate_global->__pyx_memoryview_type -#define __pyx_memoryviewslice_type __pyx_mstate_global->__pyx_memoryviewslice_type -#define __pyx_kp_u_ __pyx_mstate_global->__pyx_kp_u_ -#define __pyx_n_s_ASCII __pyx_mstate_global->__pyx_n_s_ASCII -#define __pyx_kp_s_All_dimensions_preceding_dimensi __pyx_mstate_global->__pyx_kp_s_All_dimensions_preceding_dimensi -#define __pyx_n_s_AssertionError __pyx_mstate_global->__pyx_n_s_AssertionError -#define __pyx_kp_s_Buffer_view_does_not_expose_stri __pyx_mstate_global->__pyx_kp_s_Buffer_view_does_not_expose_stri -#define __pyx_kp_s_Can_only_create_a_buffer_that_is __pyx_mstate_global->__pyx_kp_s_Can_only_create_a_buffer_that_is -#define __pyx_kp_s_Cannot_assign_to_read_only_memor __pyx_mstate_global->__pyx_kp_s_Cannot_assign_to_read_only_memor -#define __pyx_kp_s_Cannot_create_writable_memory_vi __pyx_mstate_global->__pyx_kp_s_Cannot_create_writable_memory_vi -#define __pyx_kp_u_Cannot_index_with_type __pyx_mstate_global->__pyx_kp_u_Cannot_index_with_type -#define __pyx_kp_s_Cannot_transpose_memoryview_with __pyx_mstate_global->__pyx_kp_s_Cannot_transpose_memoryview_with -#define __pyx_kp_s_Dimension_d_is_not_direct __pyx_mstate_global->__pyx_kp_s_Dimension_d_is_not_direct -#define __pyx_n_s_Ellipsis __pyx_mstate_global->__pyx_n_s_Ellipsis -#define __pyx_kp_s_Empty_shape_tuple_for_cython_arr __pyx_mstate_global->__pyx_kp_s_Empty_shape_tuple_for_cython_arr -#define __pyx_n_s_ImportError __pyx_mstate_global->__pyx_n_s_ImportError -#define __pyx_kp_s_Incompatible_checksums_0x_x_vs_0 __pyx_mstate_global->__pyx_kp_s_Incompatible_checksums_0x_x_vs_0 -#define __pyx_n_s_IndexError __pyx_mstate_global->__pyx_n_s_IndexError -#define __pyx_kp_s_Index_out_of_bounds_axis_d __pyx_mstate_global->__pyx_kp_s_Index_out_of_bounds_axis_d -#define __pyx_kp_s_Indirect_dimensions_not_supporte __pyx_mstate_global->__pyx_kp_s_Indirect_dimensions_not_supporte -#define __pyx_kp_u_Invalid_mode_expected_c_or_fortr __pyx_mstate_global->__pyx_kp_u_Invalid_mode_expected_c_or_fortr -#define __pyx_kp_u_Invalid_shape_in_axis __pyx_mstate_global->__pyx_kp_u_Invalid_shape_in_axis -#define __pyx_n_s_MemoryError __pyx_mstate_global->__pyx_n_s_MemoryError -#define __pyx_kp_s_MemoryView_of_r_at_0x_x __pyx_mstate_global->__pyx_kp_s_MemoryView_of_r_at_0x_x -#define __pyx_kp_s_MemoryView_of_r_object __pyx_mstate_global->__pyx_kp_s_MemoryView_of_r_object -#define __pyx_n_b_O __pyx_mstate_global->__pyx_n_b_O -#define __pyx_kp_u_Out_of_bounds_on_buffer_access_a __pyx_mstate_global->__pyx_kp_u_Out_of_bounds_on_buffer_access_a -#define __pyx_n_s_PickleError __pyx_mstate_global->__pyx_n_s_PickleError -#define __pyx_n_s_Sequence __pyx_mstate_global->__pyx_n_s_Sequence -#define __pyx_kp_s_Step_may_not_be_zero_axis_d __pyx_mstate_global->__pyx_kp_s_Step_may_not_be_zero_axis_d -#define __pyx_n_s_TypeError __pyx_mstate_global->__pyx_n_s_TypeError -#define __pyx_kp_s_Unable_to_convert_item_to_object __pyx_mstate_global->__pyx_kp_s_Unable_to_convert_item_to_object -#define __pyx_n_s_ValueError __pyx_mstate_global->__pyx_n_s_ValueError -#define __pyx_n_s_View_MemoryView __pyx_mstate_global->__pyx_n_s_View_MemoryView -#define __pyx_kp_u__2 __pyx_mstate_global->__pyx_kp_u__2 -#define __pyx_n_s__28 __pyx_mstate_global->__pyx_n_s__28 -#define __pyx_n_s__3 __pyx_mstate_global->__pyx_n_s__3 -#define __pyx_kp_u__6 __pyx_mstate_global->__pyx_kp_u__6 -#define __pyx_kp_u__7 __pyx_mstate_global->__pyx_kp_u__7 -#define __pyx_n_s_abc __pyx_mstate_global->__pyx_n_s_abc -#define __pyx_n_s_adj_mat __pyx_mstate_global->__pyx_n_s_adj_mat -#define __pyx_n_s_allocate_buffer __pyx_mstate_global->__pyx_n_s_allocate_buffer -#define __pyx_kp_u_and __pyx_mstate_global->__pyx_kp_u_and -#define __pyx_n_s_arange __pyx_mstate_global->__pyx_n_s_arange -#define __pyx_n_s_argsort __pyx_mstate_global->__pyx_n_s_argsort -#define __pyx_n_s_asarray __pyx_mstate_global->__pyx_n_s_asarray -#define __pyx_n_s_astype __pyx_mstate_global->__pyx_n_s_astype -#define __pyx_n_s_asyncio_coroutines __pyx_mstate_global->__pyx_n_s_asyncio_coroutines -#define __pyx_n_s_base __pyx_mstate_global->__pyx_n_s_base -#define __pyx_n_s_c __pyx_mstate_global->__pyx_n_s_c -#define __pyx_n_u_c __pyx_mstate_global->__pyx_n_u_c -#define __pyx_n_s_class __pyx_mstate_global->__pyx_n_s_class -#define __pyx_n_s_class_getitem __pyx_mstate_global->__pyx_n_s_class_getitem -#define __pyx_n_s_cline_in_traceback __pyx_mstate_global->__pyx_n_s_cline_in_traceback -#define __pyx_n_s_collections __pyx_mstate_global->__pyx_n_s_collections -#define __pyx_kp_s_collections_abc __pyx_mstate_global->__pyx_kp_s_collections_abc -#define __pyx_kp_s_contiguous_and_direct __pyx_mstate_global->__pyx_kp_s_contiguous_and_direct -#define __pyx_kp_s_contiguous_and_indirect __pyx_mstate_global->__pyx_kp_s_contiguous_and_indirect -#define __pyx_n_s_count __pyx_mstate_global->__pyx_n_s_count -#define __pyx_n_s_cython_tsp_greedy __pyx_mstate_global->__pyx_n_s_cython_tsp_greedy -#define __pyx_kp_s_cython_tsp_greedy_pyx __pyx_mstate_global->__pyx_kp_s_cython_tsp_greedy_pyx -#define __pyx_n_s_dict __pyx_mstate_global->__pyx_n_s_dict -#define __pyx_kp_u_disable __pyx_mstate_global->__pyx_kp_u_disable -#define __pyx_n_s_dtype __pyx_mstate_global->__pyx_n_s_dtype -#define __pyx_n_s_dtype_is_object __pyx_mstate_global->__pyx_n_s_dtype_is_object -#define __pyx_kp_u_enable __pyx_mstate_global->__pyx_kp_u_enable -#define __pyx_n_s_encode __pyx_mstate_global->__pyx_n_s_encode -#define __pyx_n_s_enumerate __pyx_mstate_global->__pyx_n_s_enumerate -#define __pyx_n_s_error __pyx_mstate_global->__pyx_n_s_error -#define __pyx_n_s_find_begin __pyx_mstate_global->__pyx_n_s_find_begin -#define __pyx_n_s_find_end __pyx_mstate_global->__pyx_n_s_find_end -#define __pyx_n_s_flags __pyx_mstate_global->__pyx_n_s_flags -#define __pyx_n_s_flatten __pyx_mstate_global->__pyx_n_s_flatten -#define __pyx_n_s_format __pyx_mstate_global->__pyx_n_s_format -#define __pyx_n_s_fortran __pyx_mstate_global->__pyx_n_s_fortran -#define __pyx_n_u_fortran __pyx_mstate_global->__pyx_n_u_fortran -#define __pyx_kp_u_gc __pyx_mstate_global->__pyx_kp_u_gc -#define __pyx_n_s_getstate __pyx_mstate_global->__pyx_n_s_getstate -#define __pyx_kp_u_got __pyx_mstate_global->__pyx_kp_u_got -#define __pyx_kp_u_got_differing_extents_in_dimensi __pyx_mstate_global->__pyx_kp_u_got_differing_extents_in_dimensi -#define __pyx_n_s_i __pyx_mstate_global->__pyx_n_s_i -#define __pyx_n_s_id __pyx_mstate_global->__pyx_n_s_id -#define __pyx_n_s_import __pyx_mstate_global->__pyx_n_s_import -#define __pyx_n_s_index __pyx_mstate_global->__pyx_n_s_index -#define __pyx_n_s_initializing __pyx_mstate_global->__pyx_n_s_initializing -#define __pyx_n_u_int32 __pyx_mstate_global->__pyx_n_u_int32 -#define __pyx_n_s_is_coroutine __pyx_mstate_global->__pyx_n_s_is_coroutine -#define __pyx_kp_u_isenabled __pyx_mstate_global->__pyx_kp_u_isenabled -#define __pyx_n_s_itemsize __pyx_mstate_global->__pyx_n_s_itemsize -#define __pyx_kp_s_itemsize_0_for_cython_array __pyx_mstate_global->__pyx_kp_s_itemsize_0_for_cython_array -#define __pyx_n_s_main __pyx_mstate_global->__pyx_n_s_main -#define __pyx_n_s_memview __pyx_mstate_global->__pyx_n_s_memview -#define __pyx_n_s_mode __pyx_mstate_global->__pyx_n_s_mode -#define __pyx_n_s_name __pyx_mstate_global->__pyx_n_s_name -#define __pyx_n_s_name_2 __pyx_mstate_global->__pyx_n_s_name_2 -#define __pyx_n_s_ndim __pyx_mstate_global->__pyx_n_s_ndim -#define __pyx_n_s_new __pyx_mstate_global->__pyx_n_s_new -#define __pyx_kp_s_no_default___reduce___due_to_non __pyx_mstate_global->__pyx_kp_s_no_default___reduce___due_to_non -#define __pyx_n_s_np __pyx_mstate_global->__pyx_n_s_np -#define __pyx_n_s_numpy __pyx_mstate_global->__pyx_n_s_numpy -#define __pyx_kp_u_numpy_core_multiarray_failed_to __pyx_mstate_global->__pyx_kp_u_numpy_core_multiarray_failed_to -#define __pyx_kp_u_numpy_core_umath_failed_to_impor __pyx_mstate_global->__pyx_kp_u_numpy_core_umath_failed_to_impor -#define __pyx_n_s_obj __pyx_mstate_global->__pyx_n_s_obj -#define __pyx_n_s_pack __pyx_mstate_global->__pyx_n_s_pack -#define __pyx_n_s_pickle __pyx_mstate_global->__pyx_n_s_pickle -#define __pyx_n_s_pyx_PickleError __pyx_mstate_global->__pyx_n_s_pyx_PickleError -#define __pyx_n_s_pyx_checksum __pyx_mstate_global->__pyx_n_s_pyx_checksum -#define __pyx_n_s_pyx_result __pyx_mstate_global->__pyx_n_s_pyx_result -#define __pyx_n_s_pyx_state __pyx_mstate_global->__pyx_n_s_pyx_state -#define __pyx_n_s_pyx_type __pyx_mstate_global->__pyx_n_s_pyx_type -#define __pyx_n_s_pyx_unpickle_Enum __pyx_mstate_global->__pyx_n_s_pyx_unpickle_Enum -#define __pyx_n_s_pyx_vtable __pyx_mstate_global->__pyx_n_s_pyx_vtable -#define __pyx_n_s_range __pyx_mstate_global->__pyx_n_s_range -#define __pyx_n_s_reduce __pyx_mstate_global->__pyx_n_s_reduce -#define __pyx_n_s_reduce_cython __pyx_mstate_global->__pyx_n_s_reduce_cython -#define __pyx_n_s_reduce_ex __pyx_mstate_global->__pyx_n_s_reduce_ex -#define __pyx_n_s_register __pyx_mstate_global->__pyx_n_s_register -#define __pyx_n_s_route_begin __pyx_mstate_global->__pyx_n_s_route_begin -#define __pyx_n_s_route_end __pyx_mstate_global->__pyx_n_s_route_end -#define __pyx_n_s_setstate __pyx_mstate_global->__pyx_n_s_setstate -#define __pyx_n_s_setstate_cython __pyx_mstate_global->__pyx_n_s_setstate_cython -#define __pyx_n_s_shape __pyx_mstate_global->__pyx_n_s_shape -#define __pyx_n_s_size __pyx_mstate_global->__pyx_n_s_size -#define __pyx_n_s_spec __pyx_mstate_global->__pyx_n_s_spec -#define __pyx_n_s_start __pyx_mstate_global->__pyx_n_s_start -#define __pyx_n_s_step __pyx_mstate_global->__pyx_n_s_step -#define __pyx_n_s_stop __pyx_mstate_global->__pyx_n_s_stop -#define __pyx_kp_s_strided_and_direct __pyx_mstate_global->__pyx_kp_s_strided_and_direct -#define __pyx_kp_s_strided_and_direct_or_indirect __pyx_mstate_global->__pyx_kp_s_strided_and_direct_or_indirect -#define __pyx_kp_s_strided_and_indirect __pyx_mstate_global->__pyx_kp_s_strided_and_indirect -#define __pyx_kp_s_stringsource __pyx_mstate_global->__pyx_kp_s_stringsource -#define __pyx_n_s_struct __pyx_mstate_global->__pyx_n_s_struct -#define __pyx_n_s_sys __pyx_mstate_global->__pyx_n_s_sys -#define __pyx_n_s_test __pyx_mstate_global->__pyx_n_s_test -#define __pyx_kp_s_unable_to_allocate_array_data __pyx_mstate_global->__pyx_kp_s_unable_to_allocate_array_data -#define __pyx_kp_s_unable_to_allocate_shape_and_str __pyx_mstate_global->__pyx_kp_s_unable_to_allocate_shape_and_str -#define __pyx_n_s_unpack __pyx_mstate_global->__pyx_n_s_unpack -#define __pyx_n_s_update __pyx_mstate_global->__pyx_n_s_update -#define __pyx_n_s_version_info __pyx_mstate_global->__pyx_n_s_version_info -#define __pyx_n_s_zeros 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(__pyx_v_start + __pyx_v_shape); - - /* "View.MemoryView":815 - * if not is_slice: - * - * if start < 0: # <<<<<<<<<<<<<< - * start += shape - * if not 0 <= start < shape: - */ - } - - /* "View.MemoryView":817 - * if start < 0: - * start += shape - * if not 0 <= start < shape: # <<<<<<<<<<<<<< - * _err_dim(PyExc_IndexError, "Index out of bounds (axis %d)", dim) - * else: - */ - __pyx_t_1 = (0 <= __pyx_v_start); - if (__pyx_t_1) { - __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); - } - __pyx_t_2 = (!__pyx_t_1); - if (__pyx_t_2) { - - /* "View.MemoryView":818 - * start += shape - * if not 0 <= start < shape: - * _err_dim(PyExc_IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< - * else: - * - */ - __pyx_t_3 = __pyx_memoryview_err_dim(PyExc_IndexError, __pyx_kp_s_Index_out_of_bounds_axis_d, __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(0, 818, __pyx_L1_error) - - /* "View.MemoryView":817 - * if start < 0: - * start += shape - * if not 0 <= start < shape: # <<<<<<<<<<<<<< - * _err_dim(PyExc_IndexError, "Index out of bounds (axis %d)", dim) - * else: - */ - } - - /* "View.MemoryView":813 - * cdef bint negative_step - * - * if not is_slice: # <<<<<<<<<<<<<< - * - * if start < 0: - */ - goto __pyx_L3; - } - - /* "View.MemoryView":821 - * else: - * - * if have_step: # <<<<<<<<<<<<<< - * negative_step = step < 0 - * if step == 0: - */ - /*else*/ { - __pyx_t_2 = (__pyx_v_have_step != 0); - if (__pyx_t_2) { - - /* "View.MemoryView":822 - * - * if have_step: - * negative_step = step < 0 # <<<<<<<<<<<<<< - * if step == 0: - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - */ - __pyx_v_negative_step = (__pyx_v_step < 0); - - /* "View.MemoryView":823 - * if have_step: - * negative_step = step < 0 - * if step == 0: # <<<<<<<<<<<<<< - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - * else: - */ - __pyx_t_2 = (__pyx_v_step == 0); - if (__pyx_t_2) { - - /* "View.MemoryView":824 - * negative_step = step < 0 - * if step == 0: - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< - * else: - * negative_step = False - */ - __pyx_t_3 = __pyx_memoryview_err_dim(PyExc_ValueError, __pyx_kp_s_Step_may_not_be_zero_axis_d, __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(0, 824, __pyx_L1_error) - - /* "View.MemoryView":823 - * if have_step: - * negative_step = step < 0 - * if step == 0: # <<<<<<<<<<<<<< - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - * else: - */ - } - - /* "View.MemoryView":821 - * else: - * - * if have_step: # <<<<<<<<<<<<<< - * negative_step = step < 0 - * if step == 0: - */ - goto __pyx_L6; - } - - /* "View.MemoryView":826 - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - * else: - * negative_step = False # <<<<<<<<<<<<<< - * step = 1 - * - */ - /*else*/ { - __pyx_v_negative_step = 0; - - /* "View.MemoryView":827 - * else: - * negative_step = False - * step = 1 # <<<<<<<<<<<<<< - * - * - */ - __pyx_v_step = 1; - } - __pyx_L6:; - - /* "View.MemoryView":830 - * - * - * if have_start: # <<<<<<<<<<<<<< - * if start < 0: - * start += shape - */ - __pyx_t_2 = (__pyx_v_have_start != 0); - if (__pyx_t_2) { - - /* "View.MemoryView":831 - * - * if have_start: - * if start < 0: # <<<<<<<<<<<<<< - * start += shape - * if start < 0: - */ - __pyx_t_2 = (__pyx_v_start < 0); - if (__pyx_t_2) { - - /* "View.MemoryView":832 - * if have_start: - * if start < 0: - * start += shape # <<<<<<<<<<<<<< - * if start < 0: - * start = 0 - */ - __pyx_v_start = (__pyx_v_start + __pyx_v_shape); - - /* "View.MemoryView":833 - * if start < 0: - * start += shape - * if start < 0: # <<<<<<<<<<<<<< - * start = 0 - * elif start >= shape: - */ - __pyx_t_2 = (__pyx_v_start < 0); - if (__pyx_t_2) { - - /* "View.MemoryView":834 - * start += shape - * if start < 0: - * start = 0 # <<<<<<<<<<<<<< - * elif start >= shape: - * if negative_step: - */ - __pyx_v_start = 0; - - /* "View.MemoryView":833 - * if start < 0: - * start += shape - * if start < 0: # <<<<<<<<<<<<<< - * start = 0 - * elif start >= shape: - */ - } - - /* "View.MemoryView":831 - * - * if have_start: - * if start < 0: # <<<<<<<<<<<<<< - * start += shape - * if start < 0: - */ - goto __pyx_L9; - } - - /* "View.MemoryView":835 - * if start < 0: - * start = 0 - * elif start >= shape: # <<<<<<<<<<<<<< - * if negative_step: - * start = shape - 1 - */ - __pyx_t_2 = (__pyx_v_start >= __pyx_v_shape); - if (__pyx_t_2) { - - /* "View.MemoryView":836 - * start = 0 - * elif start >= shape: - * if negative_step: # <<<<<<<<<<<<<< - * start = shape - 1 - * else: - */ - if (__pyx_v_negative_step) { - - /* "View.MemoryView":837 - * elif start >= shape: - * if negative_step: - * start = shape - 1 # <<<<<<<<<<<<<< - * else: - * start = shape - */ - __pyx_v_start = (__pyx_v_shape - 1); - - /* "View.MemoryView":836 - * start = 0 - * elif start >= shape: - * if negative_step: # <<<<<<<<<<<<<< - * start = shape - 1 - * else: - */ - goto __pyx_L11; - } - 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inc=False) - * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * free(tmpdata) - */ - (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); - - /* "View.MemoryView":1319 - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< - * free(tmpdata) - * return 0 - */ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - - /* "View.MemoryView":1320 - * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * free(tmpdata) # <<<<<<<<<<<<<< - * return 0 - * - */ - free(__pyx_v_tmpdata); - - /* "View.MemoryView":1321 - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * free(tmpdata) - * return 0 # <<<<<<<<<<<<<< - * - * if order == 'F' == get_best_order(&dst, ndim): - */ - __pyx_r = 0; - goto __pyx_L0; - - /* "View.MemoryView":1315 - * direct_copy = slice_is_contig(dst, 'F', ndim) - * - * if direct_copy: # <<<<<<<<<<<<<< - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - */ - } - - /* "View.MemoryView":1307 - * src = tmp - * - * if not broadcasting: # <<<<<<<<<<<<<< - * - * - */ - } - - /* "View.MemoryView":1323 - * return 0 - * - * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< - * - * - */ - __pyx_t_2 = (__pyx_v_order == 'F'); - if (__pyx_t_2) { - __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); - } - if (__pyx_t_2) { - - /* "View.MemoryView":1326 - * - * - * transpose_memslice(&src) # <<<<<<<<<<<<<< - * transpose_memslice(&dst) - * - */ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)-1))) __PYX_ERR(0, 1326, __pyx_L1_error) - - /* "View.MemoryView":1327 - * - * transpose_memslice(&src) - * transpose_memslice(&dst) # <<<<<<<<<<<<<< - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - */ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)-1))) __PYX_ERR(0, 1327, __pyx_L1_error) - - /* "View.MemoryView":1323 - * return 0 - * - * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< - * - * - */ - } - - /* "View.MemoryView":1329 - * transpose_memslice(&dst) - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< - * copy_strided_to_strided(&src, &dst, ndim, itemsize) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - */ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - - /* "View.MemoryView":1330 - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * - */ - copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); - - /* "View.MemoryView":1331 - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * copy_strided_to_strided(&src, &dst, ndim, itemsize) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< - * - * free(tmpdata) - */ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - - /* "View.MemoryView":1333 - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * - * free(tmpdata) # <<<<<<<<<<<<<< - * return 0 - * - */ - free(__pyx_v_tmpdata); - - /* "View.MemoryView":1334 - * - * free(tmpdata) - * return 0 # <<<<<<<<<<<<<< - * - * @cname('__pyx_memoryview_broadcast_leading') - */ - __pyx_r = 0; - goto __pyx_L0; - - /* "View.MemoryView":1265 - * - * @cname('__pyx_memoryview_copy_contents') - * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< - * __Pyx_memviewslice dst, - * int src_ndim, int dst_ndim, - */ - - /* function exit code */ - __pyx_L1_error:; - #ifdef WITH_THREAD - __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - #endif - __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); - __pyx_r = -1; - #ifdef WITH_THREAD - __Pyx_PyGILState_Release(__pyx_gilstate_save); - #endif - __pyx_L0:; - return __pyx_r; -} - -/* "View.MemoryView":1337 - * - * @cname('__pyx_memoryview_broadcast_leading') - * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< - * int ndim, - * int ndim_other) noexcept nogil: - */ - -static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { - int __pyx_v_i; - int __pyx_v_offset; - int __pyx_t_1; - int __pyx_t_2; - int __pyx_t_3; - - /* "View.MemoryView":1341 - * int ndim_other) noexcept nogil: - * cdef int i - * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< - * - * for i in range(ndim - 1, -1, -1): - */ - __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); - - /* "View.MemoryView":1343 - * cdef int offset = ndim_other - ndim - * - * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< - * mslice.shape[i + offset] = mslice.shape[i] - * mslice.strides[i + offset] = mslice.strides[i] - */ - for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { - __pyx_v_i = __pyx_t_1; - - /* "View.MemoryView":1344 - * - * for i in range(ndim - 1, -1, -1): - * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< - * mslice.strides[i + offset] = mslice.strides[i] - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - */ - (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); - - /* "View.MemoryView":1345 - * for i in range(ndim - 1, -1, -1): - * mslice.shape[i + offset] = mslice.shape[i] - * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - * - */ - (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); - - /* "View.MemoryView":1346 - * mslice.shape[i + offset] = mslice.shape[i] - * mslice.strides[i + offset] = mslice.strides[i] - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< - * - * for i in range(offset): - */ - (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); - } - - /* "View.MemoryView":1348 - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - * - * for i in range(offset): # <<<<<<<<<<<<<< - * mslice.shape[i] = 1 - * mslice.strides[i] = mslice.strides[0] - */ - __pyx_t_1 = __pyx_v_offset; - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_i = __pyx_t_3; - - /* "View.MemoryView":1349 - * - * for i in range(offset): - * mslice.shape[i] = 1 # <<<<<<<<<<<<<< - * mslice.strides[i] = mslice.strides[0] - * mslice.suboffsets[i] = -1 - */ - (__pyx_v_mslice->shape[__pyx_v_i]) = 1; - - /* "View.MemoryView":1350 - * for i in range(offset): - * mslice.shape[i] = 1 - * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< - * mslice.suboffsets[i] = -1 - * - */ - (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); - - /* "View.MemoryView":1351 - * mslice.shape[i] = 1 - * mslice.strides[i] = mslice.strides[0] - * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< - * - * - */ - (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; - } - - /* "View.MemoryView":1337 - * - * @cname('__pyx_memoryview_broadcast_leading') - * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< - * int ndim, - * int ndim_other) noexcept nogil: - */ - - /* function exit code */ -} - -/* "View.MemoryView":1359 - * - * @cname('__pyx_memoryview_refcount_copying') - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: # <<<<<<<<<<<<<< - * - * if dtype_is_object: - */ - -static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { - - /* "View.MemoryView":1361 - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: - * - * if dtype_is_object: # <<<<<<<<<<<<<< - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) - * - */ - if (__pyx_v_dtype_is_object) { - - /* "View.MemoryView":1362 - * - * if dtype_is_object: - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) # <<<<<<<<<<<<<< - * - * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') - */ - __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); - - /* "View.MemoryView":1361 - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: - * - * if dtype_is_object: # <<<<<<<<<<<<<< - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) - * - */ - } - - /* "View.MemoryView":1359 - * - * @cname('__pyx_memoryview_refcount_copying') - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: # <<<<<<<<<<<<<< - * - * if dtype_is_object: - */ - - /* function exit code */ -} - -/* "View.MemoryView":1365 - * - * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') - * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< - * Py_ssize_t *strides, int ndim, - * bint inc) noexcept with gil: - */ - -static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { - #ifdef WITH_THREAD - PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - #endif - - /* "View.MemoryView":1368 - * Py_ssize_t *strides, int ndim, - * bint inc) noexcept with gil: - * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< - * - * @cname('__pyx_memoryview_refcount_objects_in_slice') - */ - __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); - - /* "View.MemoryView":1365 - * - * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') - * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< - * Py_ssize_t *strides, int ndim, - * bint inc) noexcept with gil: - */ - - /* function exit code */ - #ifdef WITH_THREAD - __Pyx_PyGILState_Release(__pyx_gilstate_save); - #endif -} - -/* "View.MemoryView":1371 - * - * @cname('__pyx_memoryview_refcount_objects_in_slice') - * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< - * Py_ssize_t *strides, int ndim, bint inc) noexcept: - * cdef Py_ssize_t i - */ - -static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { - CYTHON_UNUSED Py_ssize_t __pyx_v_i; - Py_ssize_t __pyx_v_stride; - Py_ssize_t __pyx_t_1; - Py_ssize_t __pyx_t_2; - Py_ssize_t __pyx_t_3; - int __pyx_t_4; - - /* "View.MemoryView":1374 - * Py_ssize_t *strides, int ndim, bint inc) noexcept: - * cdef Py_ssize_t i - * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< - * - * for i in range(shape[0]): - */ - __pyx_v_stride = (__pyx_v_strides[0]); - - /* "View.MemoryView":1376 - * cdef Py_ssize_t stride = strides[0] - * - * for i in range(shape[0]): # <<<<<<<<<<<<<< - * if ndim == 1: - * if inc: - */ - __pyx_t_1 = (__pyx_v_shape[0]); - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_i = __pyx_t_3; - - /* "View.MemoryView":1377 - * - * for i in range(shape[0]): - * if ndim == 1: # <<<<<<<<<<<<<< - * if inc: - * Py_INCREF(( data)[0]) - */ - __pyx_t_4 = (__pyx_v_ndim == 1); - if (__pyx_t_4) { - - /* "View.MemoryView":1378 - * for i in range(shape[0]): - * if ndim == 1: - * if inc: # <<<<<<<<<<<<<< - * Py_INCREF(( data)[0]) - * else: - */ - if (__pyx_v_inc) { - - /* "View.MemoryView":1379 - * if ndim == 1: - * if inc: - * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< - * else: - * Py_DECREF(( data)[0]) - */ - Py_INCREF((((PyObject **)__pyx_v_data)[0])); - - /* "View.MemoryView":1378 - * for i in range(shape[0]): - * if ndim == 1: - * if inc: # <<<<<<<<<<<<<< - * Py_INCREF(( data)[0]) - * else: - */ - goto __pyx_L6; - } - - /* "View.MemoryView":1381 - * Py_INCREF(( data)[0]) - * else: - * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< - * else: - * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) - */ - /*else*/ { - Py_DECREF((((PyObject **)__pyx_v_data)[0])); - } - __pyx_L6:; - - /* "View.MemoryView":1377 - * - * for i in range(shape[0]): - * if ndim == 1: # <<<<<<<<<<<<<< - * if inc: - * Py_INCREF(( data)[0]) - */ - goto __pyx_L5; - } - - /* "View.MemoryView":1383 - * Py_DECREF(( data)[0]) - * else: - * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) # <<<<<<<<<<<<<< - * - * data += stride - */ - /*else*/ { - __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); - } - __pyx_L5:; - - /* "View.MemoryView":1385 - * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) - * - * data += stride # <<<<<<<<<<<<<< - * - * - */ - __pyx_v_data = (__pyx_v_data + __pyx_v_stride); - } - - /* "View.MemoryView":1371 - * - * @cname('__pyx_memoryview_refcount_objects_in_slice') - * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< - * Py_ssize_t *strides, int ndim, bint inc) noexcept: - * cdef Py_ssize_t i - */ - - /* function exit code */ -} - -/* "View.MemoryView":1391 - * - * @cname('__pyx_memoryview_slice_assign_scalar') - * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< - * size_t itemsize, void *item, - * bint dtype_is_object) noexcept nogil: - */ - -static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { - - /* "View.MemoryView":1394 - * size_t itemsize, void *item, - * bint dtype_is_object) noexcept nogil: - * refcount_copying(dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< - * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) - * refcount_copying(dst, dtype_is_object, ndim, inc=True) - */ - __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - - /* "View.MemoryView":1395 - * bint dtype_is_object) noexcept nogil: - * refcount_copying(dst, dtype_is_object, ndim, inc=False) - * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) # <<<<<<<<<<<<<< - * 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Py_CLEAR(p->_array_interface); - #if CYTHON_USE_TYPE_SLOTS || CYTHON_COMPILING_IN_PYPY - (*Py_TYPE(o)->tp_free)(o); - #else - { - freefunc tp_free = (freefunc)PyType_GetSlot(Py_TYPE(o), Py_tp_free); - if (tp_free) tp_free(o); - } - #endif -} - -static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { - int e; - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - if (p->obj) { - e = (*v)(p->obj, a); if (e) return e; - } - if (p->_size) { - e = (*v)(p->_size, a); if (e) return e; - } - if (p->_array_interface) { - e = (*v)(p->_array_interface, a); if (e) return e; - } - if (p->view.obj) { - e = (*v)(p->view.obj, a); if (e) return e; - } - return 0; -} - -static int __pyx_tp_clear_memoryview(PyObject *o) { - PyObject* tmp; - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - tmp = ((PyObject*)p->obj); - p->obj = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - tmp = ((PyObject*)p->_size); - p->_size = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - tmp = ((PyObject*)p->_array_interface); - p->_array_interface = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - Py_CLEAR(p->view.obj); - return 0; -} -static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { - PyObject *r; - PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; - r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); - Py_DECREF(x); - return r; -} - -static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { - if (v) { - return __pyx_memoryview___setitem__(o, i, v); - } - else { - __Pyx_TypeName o_type_name; - o_type_name = __Pyx_PyType_GetName(Py_TYPE(o)); - PyErr_Format(PyExc_NotImplementedError, - "Subscript deletion not supported by " __Pyx_FMT_TYPENAME, o_type_name); - __Pyx_DECREF_TypeName(o_type_name); - return -1; - } -} - -static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); -} - -static PyObject *__pyx_specialmethod___pyx_memoryview___repr__(PyObject *self, CYTHON_UNUSED PyObject *arg) { - return __pyx_memoryview___repr__(self); -} - -static PyMethodDef __pyx_methods_memoryview[] = { - {"__repr__", (PyCFunction)__pyx_specialmethod___pyx_memoryview___repr__, METH_NOARGS|METH_COEXIST, 0}, - {"is_c_contig", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_c_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"is_f_contig", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_f_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"copy", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"copy_fortran", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy_fortran, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__reduce_cython__", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__setstate_cython__", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {0, 0, 0, 0} -}; - -static struct PyGetSetDef __pyx_getsets_memoryview[] = { - {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, - {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, - {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, - {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, - {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, - {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, - {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, - {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, - {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, - {0, 0, 0, 0, 0} -}; -#if CYTHON_USE_TYPE_SPECS -#if !CYTHON_COMPILING_IN_LIMITED_API - -static PyBufferProcs __pyx_tp_as_buffer_memoryview = { - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getreadbuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getwritebuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getsegcount*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getcharbuffer*/ - #endif - __pyx_memoryview_getbuffer, /*bf_getbuffer*/ - 0, /*bf_releasebuffer*/ -}; -#endif -static PyType_Slot __pyx_type___pyx_memoryview_slots[] = { - {Py_tp_dealloc, (void *)__pyx_tp_dealloc_memoryview}, - {Py_tp_repr, (void *)__pyx_memoryview___repr__}, - {Py_sq_length, (void *)__pyx_memoryview___len__}, - {Py_sq_item, (void *)__pyx_sq_item_memoryview}, - {Py_mp_length, (void *)__pyx_memoryview___len__}, - {Py_mp_subscript, (void *)__pyx_memoryview___getitem__}, - {Py_mp_ass_subscript, (void *)__pyx_mp_ass_subscript_memoryview}, - {Py_tp_str, (void *)__pyx_memoryview___str__}, - #if defined(Py_bf_getbuffer) - {Py_bf_getbuffer, (void *)__pyx_memoryview_getbuffer}, - #endif - {Py_tp_traverse, (void *)__pyx_tp_traverse_memoryview}, - {Py_tp_clear, (void *)__pyx_tp_clear_memoryview}, - {Py_tp_methods, (void *)__pyx_methods_memoryview}, - {Py_tp_getset, (void *)__pyx_getsets_memoryview}, - {Py_tp_new, (void *)__pyx_tp_new_memoryview}, - {0, 0}, -}; -static PyType_Spec __pyx_type___pyx_memoryview_spec = { - "cython_tsp_greedy.memoryview", - sizeof(struct __pyx_memoryview_obj), - 0, - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, - __pyx_type___pyx_memoryview_slots, -}; -#else - -static PySequenceMethods __pyx_tp_as_sequence_memoryview = { - __pyx_memoryview___len__, /*sq_length*/ - 0, /*sq_concat*/ - 0, /*sq_repeat*/ - __pyx_sq_item_memoryview, /*sq_item*/ - 0, /*sq_slice*/ - 0, /*sq_ass_item*/ - 0, /*sq_ass_slice*/ - 0, /*sq_contains*/ - 0, /*sq_inplace_concat*/ - 0, /*sq_inplace_repeat*/ -}; - -static PyMappingMethods __pyx_tp_as_mapping_memoryview = { - __pyx_memoryview___len__, /*mp_length*/ - __pyx_memoryview___getitem__, /*mp_subscript*/ - __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ -}; - -static PyBufferProcs __pyx_tp_as_buffer_memoryview = { - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getreadbuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getwritebuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getsegcount*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getcharbuffer*/ - #endif - __pyx_memoryview_getbuffer, /*bf_getbuffer*/ - 0, /*bf_releasebuffer*/ -}; - -static PyTypeObject __pyx_type___pyx_memoryview = { - PyVarObject_HEAD_INIT(0, 0) - "cython_tsp_greedy.""memoryview", /*tp_name*/ - sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ - 0, /*tp_itemsize*/ - __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ - #if PY_VERSION_HEX < 0x030800b4 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030800b4 - 0, /*tp_vectorcall_offset*/ - #endif - 0, /*tp_getattr*/ - 0, /*tp_setattr*/ - #if PY_MAJOR_VERSION < 3 - 0, /*tp_compare*/ - #endif - #if PY_MAJOR_VERSION >= 3 - 0, /*tp_as_async*/ - #endif - __pyx_memoryview___repr__, /*tp_repr*/ - 0, /*tp_as_number*/ - &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ - &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ - 0, /*tp_hash*/ - 0, /*tp_call*/ - __pyx_memoryview___str__, /*tp_str*/ - 0, /*tp_getattro*/ - 0, /*tp_setattro*/ - &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ - 0, /*tp_doc*/ - __pyx_tp_traverse_memoryview, /*tp_traverse*/ - __pyx_tp_clear_memoryview, /*tp_clear*/ - 0, /*tp_richcompare*/ - 0, /*tp_weaklistoffset*/ - 0, /*tp_iter*/ - 0, /*tp_iternext*/ - __pyx_methods_memoryview, /*tp_methods*/ - 0, /*tp_members*/ - __pyx_getsets_memoryview, /*tp_getset*/ - 0, /*tp_base*/ - 0, /*tp_dict*/ - 0, /*tp_descr_get*/ - 0, /*tp_descr_set*/ - #if !CYTHON_USE_TYPE_SPECS - 0, /*tp_dictoffset*/ - #endif - 0, /*tp_init*/ - 0, /*tp_alloc*/ - __pyx_tp_new_memoryview, /*tp_new*/ - 0, /*tp_free*/ - 0, /*tp_is_gc*/ - 0, /*tp_bases*/ - 0, /*tp_mro*/ - 0, /*tp_cache*/ - 0, /*tp_subclasses*/ - 0, /*tp_weaklist*/ - 0, /*tp_del*/ - 0, /*tp_version_tag*/ - #if PY_VERSION_HEX >= 0x030400a1 - #if CYTHON_USE_TP_FINALIZE - 0, /*tp_finalize*/ - #else - NULL, /*tp_finalize*/ - #endif - #endif - #if PY_VERSION_HEX >= 0x030800b1 && (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800) - 0, /*tp_vectorcall*/ - #endif - #if __PYX_NEED_TP_PRINT_SLOT == 1 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030C0000 - 0, /*tp_watched*/ - #endif - #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 - 0, /*tp_pypy_flags*/ - #endif -}; -#endif -static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; - -static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { - struct __pyx_memoryviewslice_obj *p; - PyObject *o = __pyx_tp_new_memoryview(t, a, k); - if (unlikely(!o)) return 0; - p = ((struct __pyx_memoryviewslice_obj *)o); - p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; - p->from_object = Py_None; Py_INCREF(Py_None); - p->from_slice.memview = NULL; - return o; -} - -static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { - struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; - #if CYTHON_USE_TP_FINALIZE - if (unlikely((PY_VERSION_HEX >= 0x03080000 || __Pyx_PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE)) && __Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) { - if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc__memoryviewslice) { - if (PyObject_CallFinalizerFromDealloc(o)) return; - } - } - #endif - PyObject_GC_UnTrack(o); - { - PyObject *etype, *eval, *etb; - PyErr_Fetch(&etype, &eval, &etb); - __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); - 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(result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & s2_is_unicode) { - goto return_ne; - } else if ((s2 == Py_None) & s1_is_unicode) { - goto return_ne; - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -return_eq: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_EQ); -return_ne: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_NE); -#endif -} - -/* fastcall */ -#if CYTHON_METH_FASTCALL -static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s) -{ - Py_ssize_t i, n = PyTuple_GET_SIZE(kwnames); - for (i = 0; i < n; i++) - { - if (s == PyTuple_GET_ITEM(kwnames, i)) return kwvalues[i]; - } - for (i = 0; i < n; i++) - { - int eq = __Pyx_PyUnicode_Equals(s, PyTuple_GET_ITEM(kwnames, i), Py_EQ); - if (unlikely(eq != 0)) { - if (unlikely(eq < 0)) return NULL; - return kwvalues[i]; - } - } - return NULL; -} -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 -CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues) { - Py_ssize_t i, nkwargs = PyTuple_GET_SIZE(kwnames); - PyObject *dict; - dict = PyDict_New(); - if (unlikely(!dict)) - return NULL; - for (i=0; i= 3 - "%s() got multiple values for keyword argument '%U'", func_name, kw_name); - #else - "%s() got multiple values for keyword argument '%s'", func_name, - PyString_AsString(kw_name)); - #endif -} - -/* ParseKeywords */ -static int __Pyx_ParseOptionalKeywords( - PyObject *kwds, - PyObject *const *kwvalues, - PyObject **argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name) -{ - PyObject *key = 0, *value = 0; - Py_ssize_t pos = 0; - PyObject*** name; - PyObject*** first_kw_arg = argnames + num_pos_args; - int kwds_is_tuple = CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds)); - while (1) { - Py_XDECREF(key); key = NULL; - Py_XDECREF(value); value = NULL; - if (kwds_is_tuple) { - Py_ssize_t size; -#if CYTHON_ASSUME_SAFE_MACROS - size = PyTuple_GET_SIZE(kwds); -#else - size = PyTuple_Size(kwds); - if (size < 0) goto bad; -#endif - if (pos >= size) break; -#if CYTHON_AVOID_BORROWED_REFS - key = __Pyx_PySequence_ITEM(kwds, pos); - if (!key) goto bad; -#elif CYTHON_ASSUME_SAFE_MACROS - key = PyTuple_GET_ITEM(kwds, pos); -#else - key = PyTuple_GetItem(kwds, pos); - if (!key) goto bad; -#endif - value = kwvalues[pos]; - pos++; - } - else - { - if (!PyDict_Next(kwds, &pos, &key, &value)) break; -#if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(key); -#endif - } - name = first_kw_arg; - while (*name && (**name != key)) name++; - if (*name) { - values[name-argnames] = value; -#if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(value); - Py_DECREF(key); -#endif - key = NULL; - value = NULL; - continue; - } -#if !CYTHON_AVOID_BORROWED_REFS - Py_INCREF(key); -#endif - Py_INCREF(value); - name = first_kw_arg; - #if PY_MAJOR_VERSION < 3 - if (likely(PyString_Check(key))) { - while (*name) { - if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) - && _PyString_Eq(**name, key)) { - values[name-argnames] = value; -#if CYTHON_AVOID_BORROWED_REFS - value = NULL; -#endif - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - if ((**argname == key) || ( - (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) - && _PyString_Eq(**argname, key))) { - goto arg_passed_twice; - } - argname++; - } - } - } else - #endif - if (likely(PyUnicode_Check(key))) { - while (*name) { - int cmp = ( - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : - #endif - PyUnicode_Compare(**name, key) - ); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) { - values[name-argnames] = value; -#if CYTHON_AVOID_BORROWED_REFS - value = NULL; -#endif - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - int cmp = (**argname == key) ? 0 : - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : - #endif - PyUnicode_Compare(**argname, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) goto arg_passed_twice; - argname++; - } - } - } else - goto invalid_keyword_type; - if (kwds2) { - if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; - } else { - goto invalid_keyword; - } - } - Py_XDECREF(key); - Py_XDECREF(value); - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - goto bad; -invalid_keyword: - #if PY_MAJOR_VERSION < 3 - PyErr_Format(PyExc_TypeError, - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif -bad: - Py_XDECREF(key); - Py_XDECREF(value); - return -1; -} - -/* ArgTypeTest */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) -{ - __Pyx_TypeName type_name; - __Pyx_TypeName obj_type_name; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - else if (exact) { - #if PY_MAJOR_VERSION == 2 - if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; - #endif - } - else { - if (likely(__Pyx_TypeCheck(obj, type))) return 1; - } - type_name = __Pyx_PyType_GetName(type); - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "Argument '%.200s' has incorrect type (expected " __Pyx_FMT_TYPENAME - ", got " __Pyx_FMT_TYPENAME ")", name, type_name, obj_type_name); - __Pyx_DECREF_TypeName(type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* PyErrExceptionMatches */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; i= 0x030C00A6 - PyObject *current_exception = tstate->current_exception; - if (unlikely(!current_exception)) return 0; - exc_type = (PyObject*) Py_TYPE(current_exception); - if (exc_type == err) return 1; -#else - exc_type = tstate->curexc_type; - if (exc_type == err) return 1; - if (unlikely(!exc_type)) return 0; -#endif - #if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(exc_type); - #endif - if (unlikely(PyTuple_Check(err))) { - result = __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); - } else { - result = __Pyx_PyErr_GivenExceptionMatches(exc_type, err); - } - #if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(exc_type); - #endif - return result; -} -#endif - -/* PyErrFetchRestore */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { -#if PY_VERSION_HEX >= 0x030C00A6 - PyObject *tmp_value; - assert(type == NULL || (value != NULL && type == (PyObject*) Py_TYPE(value))); - if (value) { - #if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(((PyBaseExceptionObject*) value)->traceback != tb)) - #endif - PyException_SetTraceback(value, tb); - } - tmp_value = tstate->current_exception; - tstate->current_exception = value; - Py_XDECREF(tmp_value); - Py_XDECREF(type); - Py_XDECREF(tb); -#else - PyObject *tmp_type, *tmp_value, *tmp_tb; - tmp_type = tstate->curexc_type; - tmp_value = tstate->curexc_value; - tmp_tb = tstate->curexc_traceback; - tstate->curexc_type = type; - tstate->curexc_value = value; - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#endif -} -static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { -#if PY_VERSION_HEX >= 0x030C00A6 - PyObject* exc_value; - exc_value = tstate->current_exception; - tstate->current_exception = 0; - *value = exc_value; - *type = NULL; - *tb = NULL; - if (exc_value) { - *type = (PyObject*) Py_TYPE(exc_value); - Py_INCREF(*type); - #if CYTHON_COMPILING_IN_CPYTHON - *tb = ((PyBaseExceptionObject*) exc_value)->traceback; - Py_XINCREF(*tb); - #else - *tb = PyException_GetTraceback(exc_value); - #endif - } -#else - *type = tstate->curexc_type; - *value = tstate->curexc_value; - *tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; -#endif -} -#endif - -/* PyObjectGetAttrStr */ -#if CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { - PyTypeObject* tp = Py_TYPE(obj); - if (likely(tp->tp_getattro)) - return tp->tp_getattro(obj, attr_name); -#if PY_MAJOR_VERSION < 3 - if (likely(tp->tp_getattr)) - return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); -#endif - return PyObject_GetAttr(obj, attr_name); -} -#endif - -/* PyObjectGetAttrStrNoError */ -#if __PYX_LIMITED_VERSION_HEX < 0x030d00A1 -static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) { - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) - __Pyx_PyErr_Clear(); -} -#endif -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) { - PyObject *result; -#if __PYX_LIMITED_VERSION_HEX >= 0x030d00A1 - (void) PyObject_GetOptionalAttr(obj, attr_name, &result); - return result; -#else -#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1 - PyTypeObject* tp = Py_TYPE(obj); - if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) { - return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1); - } -#endif - result = __Pyx_PyObject_GetAttrStr(obj, attr_name); - if (unlikely(!result)) { - __Pyx_PyObject_GetAttrStr_ClearAttributeError(); - } - return result; -#endif -} - -/* GetBuiltinName */ -static PyObject *__Pyx_GetBuiltinName(PyObject *name) { - PyObject* result = __Pyx_PyObject_GetAttrStrNoError(__pyx_b, name); - if (unlikely(!result) && !PyErr_Occurred()) { - PyErr_Format(PyExc_NameError, -#if PY_MAJOR_VERSION >= 3 - "name '%U' is not defined", name); -#else - "name '%.200s' is not defined", PyString_AS_STRING(name)); -#endif - } - return result; -} - -/* RaiseException */ -#if PY_MAJOR_VERSION < 3 -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - __Pyx_PyThreadState_declare - CYTHON_UNUSED_VAR(cause); - Py_XINCREF(type); - if (!value || value == Py_None) - value = NULL; - else - Py_INCREF(value); - if (!tb || tb == Py_None) - tb = NULL; - else { - Py_INCREF(tb); - if (!PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto raise_error; - } - } - if (PyType_Check(type)) { -#if CYTHON_COMPILING_IN_PYPY - if (!value) { - Py_INCREF(Py_None); - value = Py_None; - } -#endif - PyErr_NormalizeException(&type, &value, &tb); - } else { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto raise_error; - } - value = type; - type = (PyObject*) Py_TYPE(type); - Py_INCREF(type); - if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto raise_error; - } - } - __Pyx_PyThreadState_assign - __Pyx_ErrRestore(type, value, tb); - return; -raise_error: - Py_XDECREF(value); - Py_XDECREF(type); - Py_XDECREF(tb); - return; -} -#else -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - PyObject* owned_instance = NULL; - if (tb == Py_None) { - tb = 0; - } else if (tb && !PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto bad; - } - if (value == Py_None) - value = 0; - if (PyExceptionInstance_Check(type)) { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto bad; - } - value = type; - type = (PyObject*) Py_TYPE(value); - } else if (PyExceptionClass_Check(type)) { - PyObject *instance_class = NULL; - if (value && PyExceptionInstance_Check(value)) { - instance_class = (PyObject*) Py_TYPE(value); - if (instance_class != type) { - int is_subclass = PyObject_IsSubclass(instance_class, type); - if (!is_subclass) { - instance_class = NULL; - } else if (unlikely(is_subclass == -1)) { - goto bad; - } else { - type = instance_class; - } - } - } - if (!instance_class) { - PyObject *args; - if (!value) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } else - args = PyTuple_Pack(1, value); - if (!args) - goto bad; - owned_instance = PyObject_Call(type, args, NULL); - Py_DECREF(args); - if (!owned_instance) - goto bad; - value = owned_instance; - if (!PyExceptionInstance_Check(value)) { - PyErr_Format(PyExc_TypeError, - "calling %R should have returned an instance of " - "BaseException, not %R", - type, Py_TYPE(value)); - goto bad; - } - } - } else { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto bad; - } - if (cause) { - PyObject *fixed_cause; - if (cause == Py_None) { - fixed_cause = NULL; - } else if (PyExceptionClass_Check(cause)) { - fixed_cause = PyObject_CallObject(cause, NULL); - if (fixed_cause == NULL) - goto bad; - } else if (PyExceptionInstance_Check(cause)) { - fixed_cause = cause; - Py_INCREF(fixed_cause); - } else { - PyErr_SetString(PyExc_TypeError, - "exception causes must derive from " - "BaseException"); - goto bad; - } - PyException_SetCause(value, fixed_cause); - } - PyErr_SetObject(type, value); - if (tb) { - #if PY_VERSION_HEX >= 0x030C00A6 - PyException_SetTraceback(value, tb); - #elif CYTHON_FAST_THREAD_STATE - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject* tmp_tb = tstate->curexc_traceback; - if (tb != tmp_tb) { - Py_INCREF(tb); - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_tb); - } -#else - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); - Py_INCREF(tb); - PyErr_Restore(tmp_type, tmp_value, tb); - Py_XDECREF(tmp_tb); -#endif - } -bad: - Py_XDECREF(owned_instance); - return; -} -#endif - -/* PyFunctionFastCall */ -#if CYTHON_FAST_PYCALL && !CYTHON_VECTORCALL -static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, - PyObject *globals) { - PyFrameObject *f; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject **fastlocals; - Py_ssize_t i; - PyObject *result; - assert(globals != NULL); - /* XXX Perhaps we should create a specialized - PyFrame_New() that doesn't take locals, but does - take builtins without sanity checking them. - */ - assert(tstate != NULL); - f = PyFrame_New(tstate, co, globals, NULL); - if (f == NULL) { - return NULL; - } - fastlocals = __Pyx_PyFrame_GetLocalsplus(f); - for (i = 0; i < na; i++) { - Py_INCREF(*args); - fastlocals[i] = *args++; - } - result = PyEval_EvalFrameEx(f,0); - ++tstate->recursion_depth; - Py_DECREF(f); - --tstate->recursion_depth; - return result; -} -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { - PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); - PyObject *globals = PyFunction_GET_GLOBALS(func); - PyObject *argdefs = PyFunction_GET_DEFAULTS(func); - PyObject *closure; -#if PY_MAJOR_VERSION >= 3 - PyObject *kwdefs; -#endif - PyObject *kwtuple, **k; - PyObject **d; - Py_ssize_t nd; - Py_ssize_t nk; - PyObject *result; - assert(kwargs == NULL || PyDict_Check(kwargs)); - nk = kwargs ? PyDict_Size(kwargs) : 0; - #if PY_MAJOR_VERSION < 3 - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) { - return NULL; - } - #else - if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) { - return NULL; - } - #endif - if ( -#if PY_MAJOR_VERSION >= 3 - co->co_kwonlyargcount == 0 && -#endif - likely(kwargs == NULL || nk == 0) && - co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - if (argdefs == NULL && co->co_argcount == nargs) { - result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); - goto done; - } - else if (nargs == 0 && argdefs != NULL - && co->co_argcount == Py_SIZE(argdefs)) { - /* function called with no arguments, but all parameters have - a default value: use default values as arguments .*/ - args = &PyTuple_GET_ITEM(argdefs, 0); - result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); - goto done; - } - } - if (kwargs != NULL) { - Py_ssize_t pos, i; - kwtuple = PyTuple_New(2 * nk); - if (kwtuple == NULL) { - result = NULL; - goto done; - } - k = &PyTuple_GET_ITEM(kwtuple, 0); - pos = i = 0; - while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { - Py_INCREF(k[i]); - Py_INCREF(k[i+1]); - i += 2; - } - nk = i / 2; - } - else { - kwtuple = NULL; - k = NULL; - } - closure = PyFunction_GET_CLOSURE(func); -#if PY_MAJOR_VERSION >= 3 - kwdefs = PyFunction_GET_KW_DEFAULTS(func); -#endif - if (argdefs != NULL) { - d = &PyTuple_GET_ITEM(argdefs, 0); - nd = Py_SIZE(argdefs); - } - else { - d = NULL; - nd = 0; - } -#if PY_MAJOR_VERSION >= 3 - result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, kwdefs, closure); -#else - result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, closure); -#endif - Py_XDECREF(kwtuple); -done: - Py_LeaveRecursiveCall(); - return result; -} -#endif - -/* PyObjectCall */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { - PyObject *result; - ternaryfunc call = Py_TYPE(func)->tp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - #if PY_MAJOR_VERSION < 3 - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - #else - if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) - return NULL; - #endif - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCallMethO */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { - PyObject *self, *result; - PyCFunction cfunc; - cfunc = __Pyx_CyOrPyCFunction_GET_FUNCTION(func); - self = __Pyx_CyOrPyCFunction_GET_SELF(func); - #if PY_MAJOR_VERSION < 3 - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - #else - if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) - return NULL; - #endif - result = cfunc(self, arg); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectFastCall */ -#if PY_VERSION_HEX < 0x03090000 || CYTHON_COMPILING_IN_LIMITED_API -static PyObject* __Pyx_PyObject_FastCall_fallback(PyObject *func, PyObject **args, size_t nargs, PyObject *kwargs) { - PyObject *argstuple; - PyObject *result = 0; - size_t i; - argstuple = PyTuple_New((Py_ssize_t)nargs); - if (unlikely(!argstuple)) return NULL; - for (i = 0; i < nargs; i++) { - Py_INCREF(args[i]); - if (__Pyx_PyTuple_SET_ITEM(argstuple, (Py_ssize_t)i, args[i]) < 0) goto bad; - } - result = __Pyx_PyObject_Call(func, argstuple, kwargs); - bad: - Py_DECREF(argstuple); - return result; -} -#endif -static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject **args, size_t _nargs, PyObject *kwargs) { - Py_ssize_t nargs = __Pyx_PyVectorcall_NARGS(_nargs); -#if CYTHON_COMPILING_IN_CPYTHON - if (nargs == 0 && kwargs == NULL) { - if (__Pyx_CyOrPyCFunction_Check(func) && likely( __Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_NOARGS)) - return __Pyx_PyObject_CallMethO(func, NULL); - } - else if (nargs == 1 && kwargs == NULL) { - if (__Pyx_CyOrPyCFunction_Check(func) && likely( __Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_O)) - return __Pyx_PyObject_CallMethO(func, args[0]); - } -#endif - #if PY_VERSION_HEX < 0x030800B1 - #if CYTHON_FAST_PYCCALL - if (PyCFunction_Check(func)) { - if (kwargs) { - return _PyCFunction_FastCallDict(func, args, nargs, kwargs); - } else { - return _PyCFunction_FastCallKeywords(func, args, nargs, NULL); - } - } - #if PY_VERSION_HEX >= 0x030700A1 - if (!kwargs && __Pyx_IS_TYPE(func, &PyMethodDescr_Type)) { - return _PyMethodDescr_FastCallKeywords(func, args, nargs, NULL); - } - #endif - #endif - #if CYTHON_FAST_PYCALL - if (PyFunction_Check(func)) { - return __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs); - } - #endif - #endif - if (kwargs == NULL) { - #if CYTHON_VECTORCALL - #if PY_VERSION_HEX < 0x03090000 - vectorcallfunc f = _PyVectorcall_Function(func); - #else - vectorcallfunc f = PyVectorcall_Function(func); - #endif - if (f) { - return f(func, args, (size_t)nargs, NULL); - } - #elif defined(__Pyx_CyFunction_USED) && CYTHON_BACKPORT_VECTORCALL - if (__Pyx_CyFunction_CheckExact(func)) { - __pyx_vectorcallfunc f = __Pyx_CyFunction_func_vectorcall(func); - if (f) return f(func, args, (size_t)nargs, NULL); - } - #endif - } - if (nargs == 0) { - return __Pyx_PyObject_Call(func, __pyx_empty_tuple, kwargs); - } - #if PY_VERSION_HEX >= 0x03090000 && !CYTHON_COMPILING_IN_LIMITED_API - return PyObject_VectorcallDict(func, args, (size_t)nargs, kwargs); - #else - return __Pyx_PyObject_FastCall_fallback(func, args, (size_t)nargs, kwargs); - #endif -} - -/* RaiseUnexpectedTypeError */ -static int -__Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj) -{ - __Pyx_TypeName obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, "Expected %s, got " __Pyx_FMT_TYPENAME, - expected, obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* CIntToDigits */ -static const char DIGIT_PAIRS_10[2*10*10+1] = { - "00010203040506070809" - "10111213141516171819" - "20212223242526272829" - "30313233343536373839" - "40414243444546474849" - "50515253545556575859" - "60616263646566676869" - "70717273747576777879" - "80818283848586878889" - "90919293949596979899" -}; -static const char DIGIT_PAIRS_8[2*8*8+1] = { - "0001020304050607" - "1011121314151617" - "2021222324252627" - "3031323334353637" - "4041424344454647" - "5051525354555657" - "6061626364656667" - "7071727374757677" -}; -static const char DIGITS_HEX[2*16+1] = { - "0123456789abcdef" - "0123456789ABCDEF" -}; - -/* BuildPyUnicode */ -static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, - int prepend_sign, char padding_char) { - PyObject *uval; - Py_ssize_t uoffset = ulength - clength; -#if CYTHON_USE_UNICODE_INTERNALS - Py_ssize_t i; -#if CYTHON_PEP393_ENABLED - void *udata; - uval = PyUnicode_New(ulength, 127); - if (unlikely(!uval)) return NULL; - udata = PyUnicode_DATA(uval); -#else - Py_UNICODE *udata; - uval = PyUnicode_FromUnicode(NULL, ulength); - if (unlikely(!uval)) return NULL; - udata = PyUnicode_AS_UNICODE(uval); -#endif - if (uoffset > 0) { - i = 0; - if (prepend_sign) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, 0, '-'); - i++; - } - for (; i < uoffset; i++) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, i, padding_char); - } - } - for (i=0; i < clength; i++) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, uoffset+i, chars[i]); - } -#else - { - PyObject *sign = NULL, *padding = NULL; - uval = NULL; - if (uoffset > 0) { - prepend_sign = !!prepend_sign; - if (uoffset > prepend_sign) { - padding = PyUnicode_FromOrdinal(padding_char); - if (likely(padding) && uoffset > prepend_sign + 1) { - PyObject *tmp; - PyObject *repeat = PyInt_FromSsize_t(uoffset - prepend_sign); - if (unlikely(!repeat)) goto done_or_error; - tmp = PyNumber_Multiply(padding, repeat); - Py_DECREF(repeat); - Py_DECREF(padding); - padding = tmp; - } - if (unlikely(!padding)) goto done_or_error; - } - if (prepend_sign) { - sign = PyUnicode_FromOrdinal('-'); - if (unlikely(!sign)) goto done_or_error; - } - } - uval = PyUnicode_DecodeASCII(chars, clength, NULL); - if (likely(uval) && padding) { - PyObject *tmp = PyNumber_Add(padding, uval); - Py_DECREF(uval); - uval = tmp; - } - if (likely(uval) && sign) { - PyObject *tmp = PyNumber_Add(sign, uval); - Py_DECREF(uval); - uval = tmp; - } -done_or_error: - Py_XDECREF(padding); - Py_XDECREF(sign); - } -#endif - return uval; -} - -/* CIntToPyUnicode */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char) { - char digits[sizeof(int)*3+2]; - char *dpos, *end = digits + sizeof(int)*3+2; - const char *hex_digits = DIGITS_HEX; - Py_ssize_t length, ulength; - int prepend_sign, last_one_off; - int remaining; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (format_char == 'X') { - hex_digits += 16; - format_char = 'x'; - } - remaining = value; - last_one_off = 0; - dpos = end; - do { - int digit_pos; - switch (format_char) { - case 'o': - digit_pos = abs((int)(remaining % (8*8))); - remaining = (int) (remaining / (8*8)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); - last_one_off = (digit_pos < 8); - break; - case 'd': - digit_pos = abs((int)(remaining % (10*10))); - remaining = (int) (remaining / (10*10)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); - last_one_off = (digit_pos < 10); - break; - case 'x': - *(--dpos) = hex_digits[abs((int)(remaining % 16))]; - remaining = (int) (remaining / 16); - break; - default: - assert(0); - break; - } - } while (unlikely(remaining != 0)); - assert(!last_one_off || *dpos == '0'); - dpos += last_one_off; - length = end - dpos; - ulength = length; - prepend_sign = 0; - if (!is_unsigned && value <= neg_one) { - if (padding_char == ' ' || width <= length + 1) { - *(--dpos) = '-'; - ++length; - } else { - prepend_sign = 1; - } - ++ulength; - } - if (width > ulength) { - ulength = width; - } - if (ulength == 1) { - return PyUnicode_FromOrdinal(*dpos); - } - return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); -} - -/* CIntToPyUnicode */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char) { - char digits[sizeof(Py_ssize_t)*3+2]; - char *dpos, *end = digits + sizeof(Py_ssize_t)*3+2; - const char *hex_digits = DIGITS_HEX; - Py_ssize_t length, ulength; - int prepend_sign, last_one_off; - Py_ssize_t remaining; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (format_char == 'X') { - hex_digits += 16; - format_char = 'x'; - } - remaining = value; - last_one_off = 0; - dpos = end; - do { - int digit_pos; - switch (format_char) { - case 'o': - digit_pos = abs((int)(remaining % (8*8))); - remaining = (Py_ssize_t) (remaining / (8*8)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); - last_one_off = (digit_pos < 8); - break; - case 'd': - digit_pos = abs((int)(remaining % (10*10))); - remaining = (Py_ssize_t) (remaining / (10*10)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); - last_one_off = (digit_pos < 10); - break; - case 'x': - *(--dpos) = hex_digits[abs((int)(remaining % 16))]; - remaining = (Py_ssize_t) (remaining / 16); - break; - default: - assert(0); - break; - } - } while (unlikely(remaining != 0)); - assert(!last_one_off || *dpos == '0'); - dpos += last_one_off; - length = end - dpos; - ulength = length; - prepend_sign = 0; - if (!is_unsigned && value <= neg_one) { - if (padding_char == ' ' || width <= length + 1) { - *(--dpos) = '-'; - ++length; - } else { - prepend_sign = 1; - } - ++ulength; - } - if (width > ulength) { - ulength = width; - } - if (ulength == 1) { - return PyUnicode_FromOrdinal(*dpos); - } - return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); -} - -/* JoinPyUnicode */ -static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, - Py_UCS4 max_char) { -#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - PyObject *result_uval; - int result_ukind, kind_shift; - Py_ssize_t i, char_pos; - void *result_udata; - CYTHON_MAYBE_UNUSED_VAR(max_char); -#if CYTHON_PEP393_ENABLED - result_uval = PyUnicode_New(result_ulength, max_char); - if (unlikely(!result_uval)) return NULL; - result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; - kind_shift = (result_ukind == PyUnicode_4BYTE_KIND) ? 2 : result_ukind - 1; - result_udata = PyUnicode_DATA(result_uval); -#else - result_uval = PyUnicode_FromUnicode(NULL, result_ulength); - if (unlikely(!result_uval)) return NULL; - result_ukind = sizeof(Py_UNICODE); - kind_shift = (result_ukind == 4) ? 2 : result_ukind - 1; - result_udata = PyUnicode_AS_UNICODE(result_uval); -#endif - assert(kind_shift == 2 || kind_shift == 1 || kind_shift == 0); - char_pos = 0; - for (i=0; i < value_count; i++) { - int ukind; - Py_ssize_t ulength; - void *udata; - PyObject *uval = PyTuple_GET_ITEM(value_tuple, i); - if (unlikely(__Pyx_PyUnicode_READY(uval))) - goto bad; - ulength = __Pyx_PyUnicode_GET_LENGTH(uval); - if (unlikely(!ulength)) - continue; - if (unlikely((PY_SSIZE_T_MAX >> kind_shift) - ulength < char_pos)) - goto overflow; - ukind = __Pyx_PyUnicode_KIND(uval); - udata = __Pyx_PyUnicode_DATA(uval); - if (!CYTHON_PEP393_ENABLED || ukind == result_ukind) { - memcpy((char *)result_udata + (char_pos << kind_shift), udata, (size_t) (ulength << kind_shift)); - } else { - #if PY_VERSION_HEX >= 0x030d0000 - if (unlikely(PyUnicode_CopyCharacters(result_uval, char_pos, uval, 0, ulength) < 0)) goto bad; - #elif CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030300F0 || defined(_PyUnicode_FastCopyCharacters) - _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); - #else - Py_ssize_t j; - for (j=0; j < ulength; j++) { - Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); - __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); - } - #endif - } - char_pos += ulength; - } - return result_uval; -overflow: - PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); -bad: - Py_DECREF(result_uval); - return NULL; -#else - CYTHON_UNUSED_VAR(max_char); - CYTHON_UNUSED_VAR(result_ulength); - CYTHON_UNUSED_VAR(value_count); - return PyUnicode_Join(__pyx_empty_unicode, value_tuple); -#endif -} - -/* GetAttr */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { -#if CYTHON_USE_TYPE_SLOTS -#if PY_MAJOR_VERSION >= 3 - if (likely(PyUnicode_Check(n))) -#else - if (likely(PyString_Check(n))) -#endif - return __Pyx_PyObject_GetAttrStr(o, n); -#endif - return PyObject_GetAttr(o, n); -} - -/* GetItemInt */ -static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { - PyObject *r; - if (unlikely(!j)) return NULL; - r = PyObject_GetItem(o, j); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyList_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { - PyObject *r = PyList_GET_ITEM(o, wrapped_i); - Py_INCREF(r); - return r; - } - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -#else - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyTuple_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { - PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); - Py_INCREF(r); - return r; - } - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -#else - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); - if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { - PyObject *r = PyList_GET_ITEM(o, n); - Py_INCREF(r); - return r; - } - } - else if (PyTuple_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); - if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { - PyObject *r = PyTuple_GET_ITEM(o, n); - Py_INCREF(r); - return r; - } - } else { - PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; - PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; - if (mm && mm->mp_subscript) { - PyObject *r, *key = PyInt_FromSsize_t(i); - if (unlikely(!key)) return NULL; - r = mm->mp_subscript(o, key); - Py_DECREF(key); - return r; - } - if (likely(sm && sm->sq_item)) { - if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { - Py_ssize_t l = sm->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return NULL; - PyErr_Clear(); - } - } - return sm->sq_item(o, i); - } - } -#else - if (is_list || !PyMapping_Check(o)) { - return PySequence_GetItem(o, i); - } -#endif - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -} - -/* PyObjectCallOneArg */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *args[2] = {NULL, arg}; - return __Pyx_PyObject_FastCall(func, args+1, 1 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* ObjectGetItem */ -#if CYTHON_USE_TYPE_SLOTS -static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject *index) { - PyObject *runerr = NULL; - Py_ssize_t key_value; - key_value = __Pyx_PyIndex_AsSsize_t(index); - if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { - return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1); - } - if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { - __Pyx_TypeName index_type_name = __Pyx_PyType_GetName(Py_TYPE(index)); - PyErr_Clear(); - PyErr_Format(PyExc_IndexError, - "cannot fit '" __Pyx_FMT_TYPENAME "' into an index-sized integer", index_type_name); - __Pyx_DECREF_TypeName(index_type_name); - } - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem_Slow(PyObject *obj, PyObject *key) { - __Pyx_TypeName obj_type_name; - if (likely(PyType_Check(obj))) { - PyObject *meth = __Pyx_PyObject_GetAttrStrNoError(obj, __pyx_n_s_class_getitem); - if (!meth) { - PyErr_Clear(); - } else { - PyObject *result = __Pyx_PyObject_CallOneArg(meth, key); - Py_DECREF(meth); - return result; - } - } - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "'" __Pyx_FMT_TYPENAME "' object is not subscriptable", obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key) { - PyTypeObject *tp = Py_TYPE(obj); - PyMappingMethods *mm = tp->tp_as_mapping; - PySequenceMethods *sm = tp->tp_as_sequence; - if (likely(mm && mm->mp_subscript)) { - return mm->mp_subscript(obj, key); - } - if (likely(sm && sm->sq_item)) { - return __Pyx_PyObject_GetIndex(obj, key); - } - return __Pyx_PyObject_GetItem_Slow(obj, key); -} -#endif - -/* KeywordStringCheck */ -static int __Pyx_CheckKeywordStrings( - PyObject *kw, - const char* function_name, - int kw_allowed) -{ - PyObject* key = 0; - Py_ssize_t pos = 0; -#if CYTHON_COMPILING_IN_PYPY - if (!kw_allowed && PyDict_Next(kw, &pos, &key, 0)) - goto invalid_keyword; - return 1; -#else - if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kw))) { - Py_ssize_t kwsize; -#if CYTHON_ASSUME_SAFE_MACROS - kwsize = PyTuple_GET_SIZE(kw); -#else - kwsize = PyTuple_Size(kw); - if (kwsize < 0) return 0; -#endif - if (unlikely(kwsize == 0)) - return 1; - if (!kw_allowed) { -#if CYTHON_ASSUME_SAFE_MACROS - key = PyTuple_GET_ITEM(kw, 0); -#else - key = PyTuple_GetItem(kw, pos); - if (!key) return 0; -#endif - goto invalid_keyword; - } -#if PY_VERSION_HEX < 0x03090000 - for (pos = 0; pos < kwsize; pos++) { -#if CYTHON_ASSUME_SAFE_MACROS - key = PyTuple_GET_ITEM(kw, pos); -#else - key = PyTuple_GetItem(kw, pos); - if (!key) return 0; -#endif - if (unlikely(!PyUnicode_Check(key))) - goto invalid_keyword_type; - } -#endif - return 1; - } - while (PyDict_Next(kw, &pos, &key, 0)) { - #if PY_MAJOR_VERSION < 3 - if (unlikely(!PyString_Check(key))) - #endif - if (unlikely(!PyUnicode_Check(key))) - goto invalid_keyword_type; - } - if (!kw_allowed && unlikely(key)) - goto invalid_keyword; - return 1; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - return 0; -#endif -invalid_keyword: - #if PY_MAJOR_VERSION < 3 - PyErr_Format(PyExc_TypeError, - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif - return 0; -} - -/* DivInt[Py_ssize_t] */ -static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { - Py_ssize_t q = a / b; - Py_ssize_t r = a - q*b; - q -= ((r != 0) & ((r ^ b) < 0)); - return q; -} - -/* GetAttr3 */ -#if __PYX_LIMITED_VERSION_HEX < 0x030d00A1 -static PyObject *__Pyx_GetAttr3Default(PyObject *d) { - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) - return NULL; - __Pyx_PyErr_Clear(); - Py_INCREF(d); - return d; -} -#endif -static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { - PyObject *r; -#if __PYX_LIMITED_VERSION_HEX >= 0x030d00A1 - int res = PyObject_GetOptionalAttr(o, n, &r); - return (res != 0) ? r : __Pyx_NewRef(d); -#else - #if CYTHON_USE_TYPE_SLOTS - if (likely(PyString_Check(n))) { - r = __Pyx_PyObject_GetAttrStrNoError(o, n); - if (unlikely(!r) && likely(!PyErr_Occurred())) { - r = __Pyx_NewRef(d); - } - return r; - } - #endif - r = PyObject_GetAttr(o, n); - return (likely(r)) ? r : __Pyx_GetAttr3Default(d); -#endif -} - -/* PyDictVersioning */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { - PyObject **dictptr = NULL; - Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; - if (offset) { -#if CYTHON_COMPILING_IN_CPYTHON - dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); -#else - dictptr = _PyObject_GetDictPtr(obj); -#endif - } - return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; -} -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) - return 0; - return obj_dict_version == __Pyx_get_object_dict_version(obj); -} -#endif - -/* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ - PyObject *result; -#if !CYTHON_AVOID_BORROWED_REFS -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && PY_VERSION_HEX < 0x030d0000 - result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } else if (unlikely(PyErr_Occurred())) { - return NULL; - } -#elif CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(!__pyx_m)) { - return NULL; - } - result = PyObject_GetAttr(__pyx_m, name); - if (likely(result)) { - return result; - } -#else - result = PyDict_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } -#endif -#else - result = PyObject_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); -#endif - return __Pyx_GetBuiltinName(name); -} - -/* RaiseTooManyValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { - PyErr_Format(PyExc_ValueError, - "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); -} - -/* RaiseNeedMoreValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { - PyErr_Format(PyExc_ValueError, - "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", - index, (index == 1) ? "" : "s"); -} - -/* RaiseNoneIterError */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { - PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); -} - -/* ExtTypeTest */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { - __Pyx_TypeName obj_type_name; - __Pyx_TypeName type_name; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - if (likely(__Pyx_TypeCheck(obj, type))) - return 1; - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - type_name = __Pyx_PyType_GetName(type); - PyErr_Format(PyExc_TypeError, - "Cannot convert " __Pyx_FMT_TYPENAME " to " __Pyx_FMT_TYPENAME, - obj_type_name, type_name); - __Pyx_DECREF_TypeName(obj_type_name); - __Pyx_DECREF_TypeName(type_name); - return 0; -} - -/* GetTopmostException */ -#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE -static _PyErr_StackItem * -__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) -{ - _PyErr_StackItem *exc_info = tstate->exc_info; - while ((exc_info->exc_value == NULL || exc_info->exc_value == Py_None) && - exc_info->previous_item != NULL) - { - exc_info = exc_info->previous_item; - } - return exc_info; -} -#endif - -/* SaveResetException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - PyObject *exc_value = exc_info->exc_value; - if (exc_value == NULL || exc_value == Py_None) { - *value = NULL; - *type = NULL; - *tb = NULL; - } else { - *value = exc_value; - Py_INCREF(*value); - *type = (PyObject*) Py_TYPE(exc_value); - Py_INCREF(*type); - *tb = PyException_GetTraceback(exc_value); - } - #elif CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - *type = exc_info->exc_type; - *value = exc_info->exc_value; - *tb = exc_info->exc_traceback; - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); - #else - *type = tstate->exc_type; - *value = tstate->exc_value; - *tb = tstate->exc_traceback; - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); - #endif -} -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = tstate->exc_info; - PyObject *tmp_value = exc_info->exc_value; - exc_info->exc_value = value; - Py_XDECREF(tmp_value); - Py_XDECREF(type); - Py_XDECREF(tb); - #else - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = type; - exc_info->exc_value = value; - exc_info->exc_traceback = tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = type; - tstate->exc_value = value; - tstate->exc_traceback = tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); - #endif -} -#endif - -/* GetException */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) -#endif -{ - PyObject *local_type = NULL, *local_value, *local_tb = NULL; -#if CYTHON_FAST_THREAD_STATE - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if PY_VERSION_HEX >= 0x030C00A6 - local_value = tstate->current_exception; - tstate->current_exception = 0; - if (likely(local_value)) { - local_type = (PyObject*) Py_TYPE(local_value); - Py_INCREF(local_type); - local_tb = PyException_GetTraceback(local_value); - } - #else - local_type = tstate->curexc_type; - local_value = tstate->curexc_value; - local_tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; - #endif -#else - PyErr_Fetch(&local_type, &local_value, &local_tb); -#endif - PyErr_NormalizeException(&local_type, &local_value, &local_tb); -#if CYTHON_FAST_THREAD_STATE && PY_VERSION_HEX >= 0x030C00A6 - if (unlikely(tstate->current_exception)) -#elif CYTHON_FAST_THREAD_STATE - if (unlikely(tstate->curexc_type)) -#else - if (unlikely(PyErr_Occurred())) -#endif - goto bad; - #if PY_MAJOR_VERSION >= 3 - if (local_tb) { - if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) - goto bad; - } - #endif - Py_XINCREF(local_tb); - Py_XINCREF(local_type); - Py_XINCREF(local_value); - *type = local_type; - *value = local_value; - *tb = local_tb; -#if CYTHON_FAST_THREAD_STATE - #if CYTHON_USE_EXC_INFO_STACK - { - _PyErr_StackItem *exc_info = tstate->exc_info; - #if PY_VERSION_HEX >= 0x030B00a4 - tmp_value = exc_info->exc_value; - exc_info->exc_value = local_value; - tmp_type = NULL; - tmp_tb = NULL; - Py_XDECREF(local_type); - Py_XDECREF(local_tb); - #else - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - #endif - } - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -} - -/* SwapException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_value = exc_info->exc_value; - exc_info->exc_value = *value; - if (tmp_value == NULL || tmp_value == Py_None) { - Py_XDECREF(tmp_value); - tmp_value = NULL; - tmp_type = NULL; - tmp_tb = NULL; - } else { - tmp_type = (PyObject*) Py_TYPE(tmp_value); - Py_INCREF(tmp_type); - #if CYTHON_COMPILING_IN_CPYTHON - tmp_tb = ((PyBaseExceptionObject*) tmp_value)->traceback; - Py_XINCREF(tmp_tb); - #else - tmp_tb = PyException_GetTraceback(tmp_value); - #endif - } - #elif CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = *type; - exc_info->exc_value = *value; - exc_info->exc_traceback = *tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = *type; - tstate->exc_value = *value; - tstate->exc_traceback = *tb; - #endif - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); - PyErr_SetExcInfo(*type, *value, *tb); - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#endif - -/* Import */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { - PyObject *module = 0; - PyObject *empty_dict = 0; - PyObject *empty_list = 0; - #if PY_MAJOR_VERSION < 3 - PyObject *py_import; - py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); - if (unlikely(!py_import)) - goto bad; - if (!from_list) { - empty_list = PyList_New(0); - if (unlikely(!empty_list)) - goto bad; - from_list = empty_list; - } - #endif - empty_dict = PyDict_New(); - if (unlikely(!empty_dict)) - goto bad; - { - #if PY_MAJOR_VERSION >= 3 - if (level == -1) { - if (strchr(__Pyx_MODULE_NAME, '.') != NULL) { - module = PyImport_ImportModuleLevelObject( - name, __pyx_d, empty_dict, from_list, 1); - if (unlikely(!module)) { - if (unlikely(!PyErr_ExceptionMatches(PyExc_ImportError))) - goto bad; - PyErr_Clear(); - } - } - level = 0; - } - #endif - if (!module) { - #if PY_MAJOR_VERSION < 3 - PyObject *py_level = PyInt_FromLong(level); - if (unlikely(!py_level)) - goto bad; - module = PyObject_CallFunctionObjArgs(py_import, - name, __pyx_d, empty_dict, from_list, py_level, (PyObject *)NULL); - Py_DECREF(py_level); - #else - module = PyImport_ImportModuleLevelObject( - name, __pyx_d, empty_dict, from_list, level); - #endif - } - } -bad: - Py_XDECREF(empty_dict); - Py_XDECREF(empty_list); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_import); - #endif - return module; -} - -/* ImportDottedModule */ -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx__ImportDottedModule_Error(PyObject *name, PyObject *parts_tuple, Py_ssize_t count) { - PyObject *partial_name = NULL, *slice = NULL, *sep = NULL; - if (unlikely(PyErr_Occurred())) { - PyErr_Clear(); - } - if (likely(PyTuple_GET_SIZE(parts_tuple) == count)) { - partial_name = name; - } else { - slice = PySequence_GetSlice(parts_tuple, 0, count); - if (unlikely(!slice)) - goto bad; - sep = PyUnicode_FromStringAndSize(".", 1); - if (unlikely(!sep)) - goto bad; - partial_name = PyUnicode_Join(sep, slice); - } - PyErr_Format( -#if PY_MAJOR_VERSION < 3 - PyExc_ImportError, - "No module named '%s'", PyString_AS_STRING(partial_name)); -#else -#if PY_VERSION_HEX >= 0x030600B1 - PyExc_ModuleNotFoundError, -#else - PyExc_ImportError, -#endif - "No module named '%U'", partial_name); -#endif -bad: - Py_XDECREF(sep); - Py_XDECREF(slice); - Py_XDECREF(partial_name); - return NULL; -} -#endif -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx__ImportDottedModule_Lookup(PyObject *name) { - PyObject *imported_module; -#if PY_VERSION_HEX < 0x030700A1 || (CYTHON_COMPILING_IN_PYPY && PYPY_VERSION_NUM < 0x07030400) - PyObject *modules = PyImport_GetModuleDict(); - if (unlikely(!modules)) - return NULL; - imported_module = __Pyx_PyDict_GetItemStr(modules, name); - Py_XINCREF(imported_module); -#else - imported_module = PyImport_GetModule(name); -#endif - return imported_module; -} -#endif -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx_ImportDottedModule_WalkParts(PyObject *module, PyObject *name, PyObject *parts_tuple) { - Py_ssize_t i, nparts; - nparts = PyTuple_GET_SIZE(parts_tuple); - for (i=1; i < nparts && module; i++) { - PyObject *part, *submodule; -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - part = PyTuple_GET_ITEM(parts_tuple, i); -#else - part = PySequence_ITEM(parts_tuple, i); -#endif - submodule = __Pyx_PyObject_GetAttrStrNoError(module, part); -#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) - Py_DECREF(part); -#endif - Py_DECREF(module); - module = submodule; - } - if (unlikely(!module)) { - return __Pyx__ImportDottedModule_Error(name, parts_tuple, i); - } - return module; -} -#endif -static PyObject *__Pyx__ImportDottedModule(PyObject *name, PyObject *parts_tuple) { -#if PY_MAJOR_VERSION < 3 - PyObject *module, *from_list, *star = __pyx_n_s__3; - CYTHON_UNUSED_VAR(parts_tuple); - from_list = PyList_New(1); - if (unlikely(!from_list)) - return NULL; - Py_INCREF(star); - PyList_SET_ITEM(from_list, 0, star); - module = __Pyx_Import(name, from_list, 0); - Py_DECREF(from_list); - return module; -#else - PyObject *imported_module; - PyObject *module = __Pyx_Import(name, NULL, 0); - if (!parts_tuple || unlikely(!module)) - return module; - imported_module = __Pyx__ImportDottedModule_Lookup(name); - if (likely(imported_module)) { - Py_DECREF(module); - return imported_module; - } - PyErr_Clear(); - return __Pyx_ImportDottedModule_WalkParts(module, name, parts_tuple); -#endif -} -static PyObject *__Pyx_ImportDottedModule(PyObject *name, PyObject *parts_tuple) { -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030400B1 - PyObject *module = __Pyx__ImportDottedModule_Lookup(name); - if (likely(module)) { - PyObject *spec = __Pyx_PyObject_GetAttrStrNoError(module, __pyx_n_s_spec); - if (likely(spec)) { - PyObject *unsafe = __Pyx_PyObject_GetAttrStrNoError(spec, __pyx_n_s_initializing); - if (likely(!unsafe || !__Pyx_PyObject_IsTrue(unsafe))) { - Py_DECREF(spec); - spec = NULL; - } - Py_XDECREF(unsafe); - } - if (likely(!spec)) { - PyErr_Clear(); - return module; - } - Py_DECREF(spec); - Py_DECREF(module); - } else if (PyErr_Occurred()) { - PyErr_Clear(); - } -#endif - return __Pyx__ImportDottedModule(name, parts_tuple); -} - -/* FastTypeChecks */ -#if CYTHON_COMPILING_IN_CPYTHON -static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { - while (a) { - a = __Pyx_PyType_GetSlot(a, tp_base, PyTypeObject*); - if (a == b) - return 1; - } - return b == &PyBaseObject_Type; -} -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (a == b) return 1; - mro = a->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(a, b); -} -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (cls == a || cls == b) return 1; - mro = cls->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - PyObject *base = PyTuple_GET_ITEM(mro, i); - if (base == (PyObject *)a || base == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(cls, a) || __Pyx_InBases(cls, b); -} -#if PY_MAJOR_VERSION == 2 -static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { - PyObject *exception, *value, *tb; - int res; - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - __Pyx_ErrFetch(&exception, &value, &tb); - res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - if (!res) { - res = PyObject_IsSubclass(err, exc_type2); - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - } - __Pyx_ErrRestore(exception, value, tb); - return res; -} -#else -static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { - if (exc_type1) { - return __Pyx_IsAnySubtype2((PyTypeObject*)err, (PyTypeObject*)exc_type1, (PyTypeObject*)exc_type2); - } else { - return __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); - } -} -#endif -static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - assert(PyExceptionClass_Check(exc_type)); - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; itp_as_sequence && type->tp_as_sequence->sq_repeat)) { - return type->tp_as_sequence->sq_repeat(seq, mul); - } else -#endif - { - return __Pyx_PySequence_Multiply_Generic(seq, mul); - } -} - -/* SetItemInt */ -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { - int r; - if (unlikely(!j)) return -1; - r = PyObject_SetItem(o, j, v); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, - CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); - if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) { - PyObject* old = PyList_GET_ITEM(o, n); - Py_INCREF(v); - PyList_SET_ITEM(o, n, v); - Py_DECREF(old); - return 1; - } - } else { - PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; - PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; - if (mm && mm->mp_ass_subscript) { - int r; - PyObject *key = PyInt_FromSsize_t(i); - if (unlikely(!key)) return -1; - r = mm->mp_ass_subscript(o, key, v); - Py_DECREF(key); - return r; - } - if (likely(sm && sm->sq_ass_item)) { - if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { - Py_ssize_t l = sm->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return -1; - PyErr_Clear(); - } - } - return sm->sq_ass_item(o, i, v); - } - } -#else - if (is_list || !PyMapping_Check(o)) - { - return PySequence_SetItem(o, i, v); - } -#endif - return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); -} - -/* RaiseUnboundLocalError */ -static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { - PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); -} - -/* DivInt[long] */ -static CYTHON_INLINE long __Pyx_div_long(long a, long b) { - long q = a / b; - long r = a - q*b; - q -= ((r != 0) & ((r ^ b) < 0)); - return q; -} - -/* ImportFrom */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { - PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); - if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { - const char* module_name_str = 0; - PyObject* module_name = 0; - PyObject* module_dot = 0; - PyObject* full_name = 0; - PyErr_Clear(); - module_name_str = PyModule_GetName(module); - if (unlikely(!module_name_str)) { goto modbad; } - module_name = PyUnicode_FromString(module_name_str); - if (unlikely(!module_name)) { goto modbad; } - module_dot = PyUnicode_Concat(module_name, __pyx_kp_u__2); - if (unlikely(!module_dot)) { goto modbad; } - full_name = PyUnicode_Concat(module_dot, name); - if (unlikely(!full_name)) { goto modbad; } - #if PY_VERSION_HEX < 0x030700A1 || (CYTHON_COMPILING_IN_PYPY && PYPY_VERSION_NUM < 0x07030400) - { - PyObject *modules = PyImport_GetModuleDict(); - if (unlikely(!modules)) - goto modbad; - value = PyObject_GetItem(modules, full_name); - } - #else - value = PyImport_GetModule(full_name); - #endif - modbad: - Py_XDECREF(full_name); - Py_XDECREF(module_dot); - Py_XDECREF(module_name); - } - if (unlikely(!value)) { - PyErr_Format(PyExc_ImportError, - #if PY_MAJOR_VERSION < 3 - "cannot import name %.230s", PyString_AS_STRING(name)); - #else - "cannot import name %S", name); - #endif - } - return value; -} - -/* HasAttr */ -#if __PYX_LIMITED_VERSION_HEX < 0x030d00A1 -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { - PyObject *r; - if (unlikely(!__Pyx_PyBaseString_Check(n))) { - PyErr_SetString(PyExc_TypeError, - "hasattr(): attribute name must be string"); - return -1; - } - r = __Pyx_GetAttr(o, n); - if (!r) { - PyErr_Clear(); - return 0; - } else { - Py_DECREF(r); - return 1; - } -} -#endif - -/* PyIntBinop */ -#if !CYTHON_COMPILING_IN_PYPY -static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check) { - CYTHON_MAYBE_UNUSED_VAR(intval); - CYTHON_MAYBE_UNUSED_VAR(inplace); - CYTHON_UNUSED_VAR(zerodivision_check); - #if PY_MAJOR_VERSION < 3 - if (likely(PyInt_CheckExact(op1))) { - const long b = intval; - long x; - long a = PyInt_AS_LONG(op1); - - x = (long)((unsigned long)a + (unsigned long)b); - if (likely((x^a) >= 0 || (x^b) >= 0)) - return PyInt_FromLong(x); - return PyLong_Type.tp_as_number->nb_add(op1, op2); - } - #endif - #if CYTHON_USE_PYLONG_INTERNALS - if (likely(PyLong_CheckExact(op1))) { - const long b = intval; - long a, x; -#ifdef HAVE_LONG_LONG - const PY_LONG_LONG llb = intval; - PY_LONG_LONG lla, llx; -#endif - if (unlikely(__Pyx_PyLong_IsZero(op1))) { - return __Pyx_NewRef(op2); - } - if (likely(__Pyx_PyLong_IsCompact(op1))) { - a = __Pyx_PyLong_CompactValue(op1); - } else { - const digit* digits = __Pyx_PyLong_Digits(op1); - const Py_ssize_t size = __Pyx_PyLong_SignedDigitCount(op1); - switch (size) { - case -2: - if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; - #ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { - lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; - #endif - } - CYTHON_FALLTHROUGH; - case 2: - if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; - #ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) { - lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; - #endif - } - CYTHON_FALLTHROUGH; - case -3: - if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; - #ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { - lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; - #endif - } - CYTHON_FALLTHROUGH; - case 3: - if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; - #ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) { - lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; - #endif - } - CYTHON_FALLTHROUGH; - case -4: - if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; - #ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { - lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; - #endif - } - CYTHON_FALLTHROUGH; - case 4: - if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])); - break; - #ifdef HAVE_LONG_LONG - } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) { - lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])); - goto long_long; - #endif - } - CYTHON_FALLTHROUGH; - default: return PyLong_Type.tp_as_number->nb_add(op1, op2); - } - } - x = a + b; - return PyLong_FromLong(x); -#ifdef HAVE_LONG_LONG - long_long: - llx = lla + llb; - return PyLong_FromLongLong(llx); -#endif - - - } - #endif - if (PyFloat_CheckExact(op1)) { - const long b = intval; -#if CYTHON_COMPILING_IN_LIMITED_API - double a = __pyx_PyFloat_AsDouble(op1); -#else - double a = PyFloat_AS_DOUBLE(op1); -#endif - double result; - - PyFPE_START_PROTECT("add", return NULL) - result = ((double)a) + (double)b; - PyFPE_END_PROTECT(result) - return PyFloat_FromDouble(result); - } - return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2); -} -#endif - -/* BufferIndexError */ -static void __Pyx_RaiseBufferIndexError(int axis) { - PyErr_Format(PyExc_IndexError, - "Out of bounds on buffer access (axis %d)", axis); -} - -/* PyObject_GenericGetAttrNoDict */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { - __Pyx_TypeName type_name = __Pyx_PyType_GetName(tp); - PyErr_Format(PyExc_AttributeError, -#if PY_MAJOR_VERSION >= 3 - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%U'", - type_name, attr_name); -#else - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%.400s'", - type_name, PyString_AS_STRING(attr_name)); -#endif - __Pyx_DECREF_TypeName(type_name); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { - PyObject *descr; - PyTypeObject *tp = Py_TYPE(obj); - if (unlikely(!PyString_Check(attr_name))) { - return PyObject_GenericGetAttr(obj, attr_name); - } - assert(!tp->tp_dictoffset); - descr = _PyType_Lookup(tp, attr_name); - if (unlikely(!descr)) { - return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); - } - Py_INCREF(descr); - #if PY_MAJOR_VERSION < 3 - if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) - #endif - { - descrgetfunc f = Py_TYPE(descr)->tp_descr_get; - if (unlikely(f)) { - PyObject *res = f(descr, obj, (PyObject *)tp); - Py_DECREF(descr); - return res; - } - } - return descr; -} -#endif - -/* PyObject_GenericGetAttr */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { - if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { - return PyObject_GenericGetAttr(obj, attr_name); - } - return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name); -} -#endif - -/* FixUpExtensionType */ -#if CYTHON_USE_TYPE_SPECS -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { -#if PY_VERSION_HEX > 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - CYTHON_UNUSED_VAR(spec); - CYTHON_UNUSED_VAR(type); -#else - const PyType_Slot *slot = spec->slots; - while (slot && slot->slot && slot->slot != Py_tp_members) - slot++; - if (slot && slot->slot == Py_tp_members) { - int changed = 0; -#if !(PY_VERSION_HEX <= 0x030900b1 && CYTHON_COMPILING_IN_CPYTHON) - const -#endif - PyMemberDef *memb = (PyMemberDef*) slot->pfunc; - while (memb && memb->name) { - if (memb->name[0] == '_' && memb->name[1] == '_') { -#if PY_VERSION_HEX < 0x030900b1 - if (strcmp(memb->name, "__weaklistoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_weaklistoffset = memb->offset; - changed = 1; - } - else if (strcmp(memb->name, "__dictoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_dictoffset = memb->offset; - changed = 1; - } -#if CYTHON_METH_FASTCALL - else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); -#if PY_VERSION_HEX >= 0x030800b4 - type->tp_vectorcall_offset = memb->offset; -#else - type->tp_print = (printfunc) memb->offset; -#endif - changed = 1; - } -#endif -#else - if ((0)); -#endif -#if PY_VERSION_HEX <= 0x030900b1 && CYTHON_COMPILING_IN_CPYTHON - else if (strcmp(memb->name, "__module__") == 0) { - PyObject *descr; - assert(memb->type == T_OBJECT); - assert(memb->flags == 0 || memb->flags == READONLY); - descr = PyDescr_NewMember(type, memb); - if (unlikely(!descr)) - return -1; - if (unlikely(PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr) < 0)) { - Py_DECREF(descr); - return -1; - } - Py_DECREF(descr); - changed = 1; - } -#endif - } - memb++; - } - if (changed) - PyType_Modified(type); - } -#endif - return 0; -} -#endif - -/* PyObjectCallNoArg */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { - PyObject *arg[2] = {NULL, NULL}; - return __Pyx_PyObject_FastCall(func, arg + 1, 0 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* PyObjectGetMethod */ -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) { - PyObject *attr; -#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP - __Pyx_TypeName type_name; - PyTypeObject *tp = Py_TYPE(obj); - PyObject *descr; - descrgetfunc f = NULL; - PyObject **dictptr, *dict; - int meth_found = 0; - assert (*method == NULL); - if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) { - attr = __Pyx_PyObject_GetAttrStr(obj, name); - goto try_unpack; - } - if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) { - return 0; - } - descr = _PyType_Lookup(tp, name); - if (likely(descr != NULL)) { - Py_INCREF(descr); -#if defined(Py_TPFLAGS_METHOD_DESCRIPTOR) && Py_TPFLAGS_METHOD_DESCRIPTOR - if (__Pyx_PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_METHOD_DESCRIPTOR)) -#elif PY_MAJOR_VERSION >= 3 - #ifdef __Pyx_CyFunction_USED - if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr))) - #else - if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type))) - #endif -#else - #ifdef __Pyx_CyFunction_USED - if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr))) - #else - if (likely(PyFunction_Check(descr))) - #endif -#endif - { - meth_found = 1; - } else { - f = Py_TYPE(descr)->tp_descr_get; - if (f != NULL && PyDescr_IsData(descr)) { - attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); - Py_DECREF(descr); - goto try_unpack; - } - } - } - dictptr = _PyObject_GetDictPtr(obj); - if (dictptr != NULL && (dict = *dictptr) != NULL) { - Py_INCREF(dict); - attr = __Pyx_PyDict_GetItemStr(dict, name); - if (attr != NULL) { - Py_INCREF(attr); - Py_DECREF(dict); - Py_XDECREF(descr); - goto try_unpack; - } - Py_DECREF(dict); - } - if (meth_found) { - *method = descr; - return 1; - } - if (f != NULL) { - attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); - Py_DECREF(descr); - goto try_unpack; - } - if (likely(descr != NULL)) { - *method = descr; - return 0; - } - type_name = __Pyx_PyType_GetName(tp); - PyErr_Format(PyExc_AttributeError, -#if PY_MAJOR_VERSION >= 3 - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%U'", - type_name, name); -#else - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%.400s'", - type_name, PyString_AS_STRING(name)); -#endif - __Pyx_DECREF_TypeName(type_name); - return 0; -#else - attr = __Pyx_PyObject_GetAttrStr(obj, name); - goto try_unpack; -#endif -try_unpack: -#if CYTHON_UNPACK_METHODS - if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) { - PyObject *function = PyMethod_GET_FUNCTION(attr); - Py_INCREF(function); - Py_DECREF(attr); - *method = function; - return 1; - } -#endif - *method = attr; - return 0; -} - -/* PyObjectCallMethod0 */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { - PyObject *method = NULL, *result = NULL; - int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); - if (likely(is_method)) { - result = __Pyx_PyObject_CallOneArg(method, obj); - Py_DECREF(method); - return result; - } - if (unlikely(!method)) goto bad; - result = __Pyx_PyObject_CallNoArg(method); - Py_DECREF(method); -bad: - return result; -} - -/* ValidateBasesTuple */ -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS -static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases) { - Py_ssize_t i, n; -#if CYTHON_ASSUME_SAFE_MACROS - n = PyTuple_GET_SIZE(bases); -#else - n = PyTuple_Size(bases); - if (n < 0) return -1; -#endif - for (i = 1; i < n; i++) - { -#if CYTHON_AVOID_BORROWED_REFS - PyObject *b0 = PySequence_GetItem(bases, i); - if (!b0) return -1; -#elif CYTHON_ASSUME_SAFE_MACROS - PyObject *b0 = PyTuple_GET_ITEM(bases, i); -#else - PyObject *b0 = PyTuple_GetItem(bases, i); - if (!b0) return -1; -#endif - PyTypeObject *b; -#if PY_MAJOR_VERSION < 3 - if (PyClass_Check(b0)) - { - PyErr_Format(PyExc_TypeError, "base class '%.200s' is an old-style class", - PyString_AS_STRING(((PyClassObject*)b0)->cl_name)); -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - return -1; - } -#endif - b = (PyTypeObject*) b0; - if (!__Pyx_PyType_HasFeature(b, Py_TPFLAGS_HEAPTYPE)) - { - __Pyx_TypeName b_name = __Pyx_PyType_GetName(b); - PyErr_Format(PyExc_TypeError, - "base class '" __Pyx_FMT_TYPENAME "' is not a heap type", b_name); - __Pyx_DECREF_TypeName(b_name); -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - return -1; - } - if (dictoffset == 0) - { - Py_ssize_t b_dictoffset = 0; -#if CYTHON_USE_TYPE_SLOTS || CYTHON_COMPILING_IN_PYPY - b_dictoffset = b->tp_dictoffset; -#else - PyObject *py_b_dictoffset = PyObject_GetAttrString((PyObject*)b, "__dictoffset__"); - if (!py_b_dictoffset) goto dictoffset_return; - b_dictoffset = PyLong_AsSsize_t(py_b_dictoffset); - Py_DECREF(py_b_dictoffset); - if (b_dictoffset == -1 && PyErr_Occurred()) goto dictoffset_return; -#endif - if (b_dictoffset) { - { - __Pyx_TypeName b_name = __Pyx_PyType_GetName(b); - PyErr_Format(PyExc_TypeError, - "extension type '%.200s' has no __dict__ slot, " - "but base type '" __Pyx_FMT_TYPENAME "' has: " - "either add 'cdef dict __dict__' to the extension type " - "or add '__slots__ = [...]' to the base type", - type_name, b_name); - __Pyx_DECREF_TypeName(b_name); - } -#if !(CYTHON_USE_TYPE_SLOTS || CYTHON_COMPILING_IN_PYPY) - dictoffset_return: -#endif -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - return -1; - } - } -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - } - return 0; -} -#endif - -/* PyType_Ready */ -static int __Pyx_PyType_Ready(PyTypeObject *t) { -#if CYTHON_USE_TYPE_SPECS || !(CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API) || defined(PYSTON_MAJOR_VERSION) - (void)__Pyx_PyObject_CallMethod0; -#if CYTHON_USE_TYPE_SPECS - (void)__Pyx_validate_bases_tuple; -#endif - return PyType_Ready(t); -#else - int r; - PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); - if (bases && unlikely(__Pyx_validate_bases_tuple(t->tp_name, t->tp_dictoffset, bases) == -1)) - return -1; -#if PY_VERSION_HEX >= 0x03050000 && !defined(PYSTON_MAJOR_VERSION) - { - int gc_was_enabled; - #if PY_VERSION_HEX >= 0x030A00b1 - gc_was_enabled = PyGC_Disable(); - (void)__Pyx_PyObject_CallMethod0; - #else - PyObject *ret, *py_status; - PyObject *gc = NULL; - #if PY_VERSION_HEX >= 0x030700a1 && (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM+0 >= 0x07030400) - gc = PyImport_GetModule(__pyx_kp_u_gc); - #endif - if (unlikely(!gc)) gc = PyImport_Import(__pyx_kp_u_gc); - if (unlikely(!gc)) return -1; - py_status = __Pyx_PyObject_CallMethod0(gc, __pyx_kp_u_isenabled); - if (unlikely(!py_status)) { - Py_DECREF(gc); - return -1; - } - gc_was_enabled = __Pyx_PyObject_IsTrue(py_status); - Py_DECREF(py_status); - if (gc_was_enabled > 0) { - ret = __Pyx_PyObject_CallMethod0(gc, __pyx_kp_u_disable); - if (unlikely(!ret)) { - Py_DECREF(gc); - return -1; - } - Py_DECREF(ret); - } else if (unlikely(gc_was_enabled == -1)) { - Py_DECREF(gc); - return -1; - } - #endif - t->tp_flags |= Py_TPFLAGS_HEAPTYPE; -#if PY_VERSION_HEX >= 0x030A0000 - t->tp_flags |= Py_TPFLAGS_IMMUTABLETYPE; -#endif -#else - (void)__Pyx_PyObject_CallMethod0; -#endif - r = PyType_Ready(t); -#if PY_VERSION_HEX >= 0x03050000 && !defined(PYSTON_MAJOR_VERSION) - t->tp_flags &= ~Py_TPFLAGS_HEAPTYPE; - #if PY_VERSION_HEX >= 0x030A00b1 - if (gc_was_enabled) - PyGC_Enable(); - #else - if (gc_was_enabled) { - PyObject *tp, *v, *tb; - PyErr_Fetch(&tp, &v, &tb); - ret = __Pyx_PyObject_CallMethod0(gc, __pyx_kp_u_enable); - if (likely(ret || r == -1)) { - Py_XDECREF(ret); - PyErr_Restore(tp, v, tb); - } else { - Py_XDECREF(tp); - Py_XDECREF(v); - Py_XDECREF(tb); - r = -1; - } - } - Py_DECREF(gc); - #endif - } -#endif - return r; -#endif -} - -/* SetVTable */ -static int __Pyx_SetVtable(PyTypeObject *type, void *vtable) { - PyObject *ob = PyCapsule_New(vtable, 0, 0); - if (unlikely(!ob)) - goto bad; -#if CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(PyObject_SetAttr((PyObject *) type, __pyx_n_s_pyx_vtable, ob) < 0)) -#else - if (unlikely(PyDict_SetItem(type->tp_dict, __pyx_n_s_pyx_vtable, ob) < 0)) -#endif - goto bad; - Py_DECREF(ob); - return 0; -bad: - Py_XDECREF(ob); - return -1; -} - -/* GetVTable */ -static void* __Pyx_GetVtable(PyTypeObject *type) { - void* ptr; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *ob = PyObject_GetAttr((PyObject *)type, __pyx_n_s_pyx_vtable); -#else - PyObject *ob = PyObject_GetItem(type->tp_dict, __pyx_n_s_pyx_vtable); -#endif - if (!ob) - goto bad; - ptr = PyCapsule_GetPointer(ob, 0); - if (!ptr && !PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type"); - Py_DECREF(ob); - return ptr; -bad: - Py_XDECREF(ob); - return NULL; -} - -/* MergeVTables */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_MergeVtables(PyTypeObject *type) { - int i; - void** base_vtables; - __Pyx_TypeName tp_base_name; - __Pyx_TypeName base_name; - void* unknown = (void*)-1; - PyObject* bases = type->tp_bases; - int base_depth = 0; - { - PyTypeObject* base = type->tp_base; - while (base) { - base_depth += 1; - base = base->tp_base; - } - } - base_vtables = (void**) malloc(sizeof(void*) * (size_t)(base_depth + 1)); - base_vtables[0] = unknown; - for (i = 1; i < PyTuple_GET_SIZE(bases); i++) { - void* base_vtable = __Pyx_GetVtable(((PyTypeObject*)PyTuple_GET_ITEM(bases, i))); - if (base_vtable != NULL) { - int j; - PyTypeObject* base = type->tp_base; - for (j = 0; j < base_depth; j++) { - if (base_vtables[j] == unknown) { - base_vtables[j] = __Pyx_GetVtable(base); - base_vtables[j + 1] = unknown; - } - if (base_vtables[j] == base_vtable) { - break; - } else if (base_vtables[j] == NULL) { - goto bad; - } - base = base->tp_base; - } - } - } - PyErr_Clear(); - free(base_vtables); - return 0; -bad: - tp_base_name = __Pyx_PyType_GetName(type->tp_base); - base_name = __Pyx_PyType_GetName((PyTypeObject*)PyTuple_GET_ITEM(bases, i)); - PyErr_Format(PyExc_TypeError, - "multiple bases have vtable conflict: '" __Pyx_FMT_TYPENAME "' and '" __Pyx_FMT_TYPENAME "'", tp_base_name, base_name); - __Pyx_DECREF_TypeName(tp_base_name); - __Pyx_DECREF_TypeName(base_name); - free(base_vtables); - return -1; -} -#endif - -/* SetupReduce */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { - int ret; - PyObject *name_attr; - name_attr = __Pyx_PyObject_GetAttrStrNoError(meth, __pyx_n_s_name_2); - if (likely(name_attr)) { - ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); - } else { - ret = -1; - } - if (unlikely(ret < 0)) { - PyErr_Clear(); - ret = 0; - } - Py_XDECREF(name_attr); - return ret; -} -static int __Pyx_setup_reduce(PyObject* type_obj) { - int ret = 0; - PyObject *object_reduce = NULL; - PyObject *object_getstate = NULL; - PyObject *object_reduce_ex = NULL; - PyObject *reduce = NULL; - PyObject *reduce_ex = NULL; - PyObject *reduce_cython = NULL; - PyObject *setstate = NULL; - PyObject *setstate_cython = NULL; - PyObject *getstate = NULL; -#if CYTHON_USE_PYTYPE_LOOKUP - getstate = _PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate); -#else - getstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_getstate); - if (!getstate && PyErr_Occurred()) { - goto __PYX_BAD; - } -#endif - if (getstate) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_getstate = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_getstate); -#else - object_getstate = __Pyx_PyObject_GetAttrStrNoError((PyObject*)&PyBaseObject_Type, __pyx_n_s_getstate); - if (!object_getstate && PyErr_Occurred()) { - goto __PYX_BAD; - } -#endif - if (object_getstate != getstate) { - goto __PYX_GOOD; - } - } -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#else - object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#endif - reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; - if (reduce_ex == object_reduce_ex) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; -#else - object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; -#endif - reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD; - if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) { - reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython); - if (likely(reduce_cython)) { - ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } else if (reduce == object_reduce || PyErr_Occurred()) { - goto __PYX_BAD; - } - setstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate); - if (!setstate) PyErr_Clear(); - if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) { - setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython); - if (likely(setstate_cython)) { - ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } else if (!setstate || PyErr_Occurred()) { - goto __PYX_BAD; - } - } - PyType_Modified((PyTypeObject*)type_obj); - } - } - goto __PYX_GOOD; -__PYX_BAD: - if (!PyErr_Occurred()) { - __Pyx_TypeName type_obj_name = - __Pyx_PyType_GetName((PyTypeObject*)type_obj); - PyErr_Format(PyExc_RuntimeError, - "Unable to initialize pickling for " __Pyx_FMT_TYPENAME, type_obj_name); - __Pyx_DECREF_TypeName(type_obj_name); - } - ret = -1; -__PYX_GOOD: -#if !CYTHON_USE_PYTYPE_LOOKUP - Py_XDECREF(object_reduce); - Py_XDECREF(object_reduce_ex); - Py_XDECREF(object_getstate); - Py_XDECREF(getstate); -#endif - Py_XDECREF(reduce); - Py_XDECREF(reduce_ex); - Py_XDECREF(reduce_cython); - Py_XDECREF(setstate); - Py_XDECREF(setstate_cython); - return ret; -} -#endif - -/* TypeImport */ -#ifndef __PYX_HAVE_RT_ImportType_3_0_10 -#define __PYX_HAVE_RT_ImportType_3_0_10 -static PyTypeObject *__Pyx_ImportType_3_0_10(PyObject *module, const char *module_name, const char *class_name, - size_t size, size_t alignment, enum __Pyx_ImportType_CheckSize_3_0_10 check_size) -{ - PyObject *result = 0; - char warning[200]; - Py_ssize_t basicsize; - Py_ssize_t itemsize; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *py_basicsize; - PyObject *py_itemsize; -#endif - result = PyObject_GetAttrString(module, class_name); - if (!result) - goto bad; - if (!PyType_Check(result)) { - PyErr_Format(PyExc_TypeError, - "%.200s.%.200s is not a type object", - module_name, class_name); - goto bad; - } -#if !CYTHON_COMPILING_IN_LIMITED_API - basicsize = ((PyTypeObject *)result)->tp_basicsize; - itemsize = ((PyTypeObject *)result)->tp_itemsize; -#else - py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); - if (!py_basicsize) - goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) - goto bad; - py_itemsize = PyObject_GetAttrString(result, "__itemsize__"); - if (!py_itemsize) - goto bad; - itemsize = PyLong_AsSsize_t(py_itemsize); - Py_DECREF(py_itemsize); - py_itemsize = 0; - if (itemsize == (Py_ssize_t)-1 && PyErr_Occurred()) - goto bad; -#endif - if (itemsize) { - if (size % alignment) { - alignment = size % alignment; - } - if (itemsize < (Py_ssize_t)alignment) - itemsize = (Py_ssize_t)alignment; - } - if ((size_t)(basicsize + itemsize) < size) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize+itemsize); - goto bad; - } - if (check_size == __Pyx_ImportType_CheckSize_Error_3_0_10 && - ((size_t)basicsize > size || (size_t)(basicsize + itemsize) < size)) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd-%zd from PyObject", - module_name, class_name, size, basicsize, basicsize+itemsize); - goto bad; - } - else if (check_size == __Pyx_ImportType_CheckSize_Warn_3_0_10 && (size_t)basicsize > size) { - PyOS_snprintf(warning, sizeof(warning), - "%s.%s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize); - if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; - } - return (PyTypeObject *)result; -bad: - Py_XDECREF(result); - return NULL; -} -#endif - -/* FetchSharedCythonModule */ -static PyObject *__Pyx_FetchSharedCythonABIModule(void) { - return __Pyx_PyImport_AddModuleRef((char*) __PYX_ABI_MODULE_NAME); -} - -/* FetchCommonType */ -static int __Pyx_VerifyCachedType(PyObject *cached_type, - const char *name, - Py_ssize_t basicsize, - Py_ssize_t expected_basicsize) { - if (!PyType_Check(cached_type)) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s is not a type object", name); - return -1; - } - if (basicsize != expected_basicsize) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s has the wrong size, try recompiling", - name); - return -1; - } - return 0; -} -#if !CYTHON_USE_TYPE_SPECS -static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { - PyObject* abi_module; - const char* object_name; - PyTypeObject *cached_type = NULL; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) return NULL; - object_name = strrchr(type->tp_name, '.'); - object_name = object_name ? object_name+1 : type->tp_name; - cached_type = (PyTypeObject*) PyObject_GetAttrString(abi_module, object_name); - if (cached_type) { - if (__Pyx_VerifyCachedType( - (PyObject *)cached_type, - object_name, - cached_type->tp_basicsize, - type->tp_basicsize) < 0) { - goto bad; - } - goto done; - } - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - if (PyType_Ready(type) < 0) goto bad; - if (PyObject_SetAttrString(abi_module, object_name, (PyObject *)type) < 0) - goto bad; - Py_INCREF(type); - cached_type = type; -done: - Py_DECREF(abi_module); - return cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} -#else -static PyTypeObject *__Pyx_FetchCommonTypeFromSpec(PyObject *module, PyType_Spec *spec, PyObject *bases) { - PyObject *abi_module, *cached_type = NULL; - const char* object_name = strrchr(spec->name, '.'); - object_name = object_name ? object_name+1 : spec->name; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) return NULL; - cached_type = PyObject_GetAttrString(abi_module, object_name); - if (cached_type) { - Py_ssize_t basicsize; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *py_basicsize; - py_basicsize = PyObject_GetAttrString(cached_type, "__basicsize__"); - if (unlikely(!py_basicsize)) goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (unlikely(basicsize == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; -#else - basicsize = likely(PyType_Check(cached_type)) ? ((PyTypeObject*) cached_type)->tp_basicsize : -1; -#endif - if (__Pyx_VerifyCachedType( - cached_type, - object_name, - basicsize, - spec->basicsize) < 0) { - goto bad; - } - goto done; - } - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - CYTHON_UNUSED_VAR(module); - cached_type = __Pyx_PyType_FromModuleAndSpec(abi_module, spec, bases); - if (unlikely(!cached_type)) goto bad; - if (unlikely(__Pyx_fix_up_extension_type_from_spec(spec, (PyTypeObject *) cached_type) < 0)) goto bad; - if (PyObject_SetAttrString(abi_module, object_name, cached_type) < 0) goto bad; -done: - Py_DECREF(abi_module); - assert(cached_type == NULL || PyType_Check(cached_type)); - return (PyTypeObject *) cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} -#endif - -/* PyVectorcallFastCallDict */ -#if CYTHON_METH_FASTCALL -static PyObject *__Pyx_PyVectorcall_FastCallDict_kw(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - PyObject *res = NULL; - PyObject *kwnames; - PyObject **newargs; - PyObject **kwvalues; - Py_ssize_t i, pos; - size_t j; - PyObject *key, *value; - unsigned long keys_are_strings; - Py_ssize_t nkw = PyDict_GET_SIZE(kw); - newargs = (PyObject **)PyMem_Malloc((nargs + (size_t)nkw) * sizeof(args[0])); - if (unlikely(newargs == NULL)) { - PyErr_NoMemory(); - return NULL; - } - for (j = 0; j < nargs; j++) newargs[j] = args[j]; - kwnames = PyTuple_New(nkw); - if (unlikely(kwnames == NULL)) { - PyMem_Free(newargs); - return NULL; - } - kwvalues = newargs + nargs; - pos = i = 0; - keys_are_strings = Py_TPFLAGS_UNICODE_SUBCLASS; - while (PyDict_Next(kw, &pos, &key, &value)) { - keys_are_strings &= Py_TYPE(key)->tp_flags; - Py_INCREF(key); - Py_INCREF(value); - PyTuple_SET_ITEM(kwnames, i, key); - kwvalues[i] = value; - i++; - } - if (unlikely(!keys_are_strings)) { - PyErr_SetString(PyExc_TypeError, "keywords must be strings"); - goto cleanup; - } - res = vc(func, newargs, nargs, kwnames); -cleanup: - Py_DECREF(kwnames); - for (i = 0; i < nkw; i++) - Py_DECREF(kwvalues[i]); - PyMem_Free(newargs); - return res; -} -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - if (likely(kw == NULL) || PyDict_GET_SIZE(kw) == 0) { - return vc(func, args, nargs, NULL); - } - return __Pyx_PyVectorcall_FastCallDict_kw(func, vc, args, nargs, kw); -} -#endif - -/* CythonFunctionShared */ -#if CYTHON_COMPILING_IN_LIMITED_API -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void *cfunc) { - if (__Pyx_CyFunction_Check(func)) { - return PyCFunction_GetFunction(((__pyx_CyFunctionObject*)func)->func) == (PyCFunction) cfunc; - } else if (PyCFunction_Check(func)) { - return PyCFunction_GetFunction(func) == (PyCFunction) cfunc; - } - return 0; -} -#else -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void *cfunc) { - return __Pyx_CyOrPyCFunction_Check(func) && __Pyx_CyOrPyCFunction_GET_FUNCTION(func) == (PyCFunction) cfunc; -} -#endif -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj) { -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - __Pyx_Py_XDECREF_SET( - __Pyx_CyFunction_GetClassObj(f), - ((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#else - __Pyx_Py_XDECREF_SET( - ((PyCMethodObject *) (f))->mm_class, - (PyTypeObject*)((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#endif -} -static PyObject * -__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, void *closure) -{ - CYTHON_UNUSED_VAR(closure); - if (unlikely(op->func_doc == NULL)) { -#if CYTHON_COMPILING_IN_LIMITED_API - op->func_doc = PyObject_GetAttrString(op->func, "__doc__"); - if (unlikely(!op->func_doc)) return NULL; -#else - if (((PyCFunctionObject*)op)->m_ml->ml_doc) { -#if PY_MAJOR_VERSION >= 3 - op->func_doc = PyUnicode_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); -#else - op->func_doc = PyString_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); -#endif - if (unlikely(op->func_doc == NULL)) - return NULL; - } else { - Py_INCREF(Py_None); - return Py_None; - } -#endif - } - Py_INCREF(op->func_doc); - return op->func_doc; -} -static int -__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (value == NULL) { - value = Py_None; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_doc, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_name == NULL)) { -#if CYTHON_COMPILING_IN_LIMITED_API - op->func_name = PyObject_GetAttrString(op->func, "__name__"); -#elif PY_MAJOR_VERSION >= 3 - op->func_name = PyUnicode_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#else - op->func_name = PyString_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#endif - if (unlikely(op->func_name == NULL)) - return NULL; - } - Py_INCREF(op->func_name); - return op->func_name; -} -static int -__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__name__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_name, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_qualname); - return op->func_qualname; -} -static int -__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__qualname__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_qualname, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_dict == NULL)) { - op->func_dict = PyDict_New(); - if (unlikely(op->func_dict == NULL)) - return NULL; - } - Py_INCREF(op->func_dict); - return op->func_dict; -} -static int -__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(value == NULL)) { - PyErr_SetString(PyExc_TypeError, - "function's dictionary may not be deleted"); - return -1; - } - if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "setting function's dictionary to a non-dict"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_dict, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_globals); - return op->func_globals; -} -static PyObject * -__Pyx_CyFunction_get_closure(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(op); - CYTHON_UNUSED_VAR(context); - Py_INCREF(Py_None); - return Py_None; -} -static PyObject * -__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, void *context) -{ - PyObject* result = (op->func_code) ? op->func_code : Py_None; - CYTHON_UNUSED_VAR(context); - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { - int result = 0; - PyObject *res = op->defaults_getter((PyObject *) op); - if (unlikely(!res)) - return -1; - #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - op->defaults_tuple = PyTuple_GET_ITEM(res, 0); - Py_INCREF(op->defaults_tuple); - op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); - Py_INCREF(op->defaults_kwdict); - #else - op->defaults_tuple = __Pyx_PySequence_ITEM(res, 0); - if (unlikely(!op->defaults_tuple)) result = -1; - else { - op->defaults_kwdict = __Pyx_PySequence_ITEM(res, 1); - if (unlikely(!op->defaults_kwdict)) result = -1; - } - #endif - Py_DECREF(res); - return result; -} -static int -__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value) { - value = Py_None; - } else if (unlikely(value != Py_None && !PyTuple_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__defaults__ must be set to a tuple object"); - return -1; - } - PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__defaults__ will not " - "currently affect the values used in function calls", 1); - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->defaults_tuple, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->defaults_tuple; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - if (op->defaults_getter) { - if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; - result = op->defaults_tuple; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value) { - value = Py_None; - } else if (unlikely(value != Py_None && !PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__kwdefaults__ must be set to a dict object"); - return -1; - } - PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__kwdefaults__ will not " - "currently affect the values used in function calls", 1); - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->defaults_kwdict, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->defaults_kwdict; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - if (op->defaults_getter) { - if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; - result = op->defaults_kwdict; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value || value == Py_None) { - value = NULL; - } else if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__annotations__ must be set to a dict object"); - return -1; - } - Py_XINCREF(value); - __Pyx_Py_XDECREF_SET(op->func_annotations, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->func_annotations; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - result = PyDict_New(); - if (unlikely(!result)) return NULL; - op->func_annotations = result; - } - Py_INCREF(result); - return result; -} -static PyObject * -__Pyx_CyFunction_get_is_coroutine(__pyx_CyFunctionObject *op, void *context) { - int is_coroutine; - CYTHON_UNUSED_VAR(context); - if (op->func_is_coroutine) { - return __Pyx_NewRef(op->func_is_coroutine); - } - is_coroutine = op->flags & __Pyx_CYFUNCTION_COROUTINE; -#if PY_VERSION_HEX >= 0x03050000 - if (is_coroutine) { - PyObject *module, *fromlist, *marker = __pyx_n_s_is_coroutine; - fromlist = PyList_New(1); - if (unlikely(!fromlist)) return NULL; - Py_INCREF(marker); -#if CYTHON_ASSUME_SAFE_MACROS - PyList_SET_ITEM(fromlist, 0, marker); -#else - if (unlikely(PyList_SetItem(fromlist, 0, marker) < 0)) { - Py_DECREF(marker); - Py_DECREF(fromlist); - return NULL; - } -#endif - module = PyImport_ImportModuleLevelObject(__pyx_n_s_asyncio_coroutines, NULL, NULL, fromlist, 0); - Py_DECREF(fromlist); - if (unlikely(!module)) goto ignore; - op->func_is_coroutine = __Pyx_PyObject_GetAttrStr(module, marker); - Py_DECREF(module); - if (likely(op->func_is_coroutine)) { - return __Pyx_NewRef(op->func_is_coroutine); - } -ignore: - PyErr_Clear(); - } -#endif - op->func_is_coroutine = __Pyx_PyBool_FromLong(is_coroutine); - return __Pyx_NewRef(op->func_is_coroutine); -} -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject * -__Pyx_CyFunction_get_module(__pyx_CyFunctionObject *op, void *context) { - CYTHON_UNUSED_VAR(context); - return PyObject_GetAttrString(op->func, "__module__"); -} -static int -__Pyx_CyFunction_set_module(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - return PyObject_SetAttrString(op->func, "__module__", value); -} -#endif -static PyGetSetDef __pyx_CyFunction_getsets[] = { - {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, - {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, - {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, - {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, - {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, - {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, - {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, - {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, - {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, - {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, - {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, - {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, - {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, - {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, - {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, - {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, - {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, - {(char *) "_is_coroutine", (getter)__Pyx_CyFunction_get_is_coroutine, 0, 0, 0}, -#if CYTHON_COMPILING_IN_LIMITED_API - {"__module__", (getter)__Pyx_CyFunction_get_module, (setter)__Pyx_CyFunction_set_module, 0, 0}, -#endif - {0, 0, 0, 0, 0} -}; -static PyMemberDef __pyx_CyFunction_members[] = { -#if !CYTHON_COMPILING_IN_LIMITED_API - {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), 0, 0}, -#endif -#if CYTHON_USE_TYPE_SPECS - {(char *) "__dictoffset__", T_PYSSIZET, offsetof(__pyx_CyFunctionObject, func_dict), READONLY, 0}, -#if CYTHON_METH_FASTCALL -#if CYTHON_BACKPORT_VECTORCALL - {(char *) "__vectorcalloffset__", T_PYSSIZET, offsetof(__pyx_CyFunctionObject, func_vectorcall), READONLY, 0}, -#else -#if !CYTHON_COMPILING_IN_LIMITED_API - {(char *) "__vectorcalloffset__", T_PYSSIZET, offsetof(PyCFunctionObject, vectorcall), READONLY, 0}, -#endif -#endif -#endif -#if PY_VERSION_HEX < 0x030500A0 || CYTHON_COMPILING_IN_LIMITED_API - {(char *) "__weaklistoffset__", T_PYSSIZET, offsetof(__pyx_CyFunctionObject, func_weakreflist), READONLY, 0}, -#else - {(char *) "__weaklistoffset__", T_PYSSIZET, offsetof(PyCFunctionObject, m_weakreflist), READONLY, 0}, -#endif -#endif - {0, 0, 0, 0, 0} -}; -static PyObject * -__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, PyObject *args) -{ - CYTHON_UNUSED_VAR(args); 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-#endif - op->flags = flags; - __Pyx_CyFunction_weakreflist(op) = NULL; -#if !CYTHON_COMPILING_IN_LIMITED_API - cf->m_ml = ml; - cf->m_self = (PyObject *) op; -#endif - Py_XINCREF(closure); - op->func_closure = closure; -#if !CYTHON_COMPILING_IN_LIMITED_API - Py_XINCREF(module); - cf->m_module = module; -#endif - op->func_dict = NULL; - op->func_name = NULL; - Py_INCREF(qualname); - op->func_qualname = qualname; - op->func_doc = NULL; -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - op->func_classobj = NULL; -#else - ((PyCMethodObject*)op)->mm_class = NULL; -#endif - op->func_globals = globals; - Py_INCREF(op->func_globals); - Py_XINCREF(code); - op->func_code = code; - op->defaults_pyobjects = 0; - op->defaults_size = 0; - op->defaults = NULL; - op->defaults_tuple = NULL; - op->defaults_kwdict = NULL; - op->defaults_getter = NULL; - op->func_annotations = NULL; - op->func_is_coroutine = NULL; -#if CYTHON_METH_FASTCALL - switch (ml->ml_flags & (METH_VARARGS | METH_FASTCALL | METH_NOARGS | METH_O | METH_KEYWORDS | METH_METHOD)) { - case METH_NOARGS: - __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_NOARGS; - break; - case METH_O: - __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_O; - break; - case METH_METHOD | METH_FASTCALL | METH_KEYWORDS: - __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD; - break; - case METH_FASTCALL | METH_KEYWORDS: - __Pyx_CyFunction_func_vectorcall(op) = __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS; - break; - case METH_VARARGS | METH_KEYWORDS: - __Pyx_CyFunction_func_vectorcall(op) = NULL; - break; - default: - PyErr_SetString(PyExc_SystemError, "Bad call flags for CyFunction"); - Py_DECREF(op); - return NULL; - } -#endif - return (PyObject *) op; -} -static int -__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) -{ - Py_CLEAR(m->func_closure); -#if CYTHON_COMPILING_IN_LIMITED_API - Py_CLEAR(m->func); -#else - Py_CLEAR(((PyCFunctionObject*)m)->m_module); -#endif - Py_CLEAR(m->func_dict); - Py_CLEAR(m->func_name); - Py_CLEAR(m->func_qualname); - Py_CLEAR(m->func_doc); - Py_CLEAR(m->func_globals); - Py_CLEAR(m->func_code); 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-} -static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) -{ - Py_VISIT(m->func_closure); -#if CYTHON_COMPILING_IN_LIMITED_API - Py_VISIT(m->func); -#else - Py_VISIT(((PyCFunctionObject*)m)->m_module); -#endif - Py_VISIT(m->func_dict); - Py_VISIT(m->func_name); - Py_VISIT(m->func_qualname); - Py_VISIT(m->func_doc); - Py_VISIT(m->func_globals); - Py_VISIT(m->func_code); -#if !CYTHON_COMPILING_IN_LIMITED_API - Py_VISIT(__Pyx_CyFunction_GetClassObj(m)); -#endif - Py_VISIT(m->defaults_tuple); - Py_VISIT(m->defaults_kwdict); - Py_VISIT(m->func_is_coroutine); - if (m->defaults) { - PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); - int i; - for (i = 0; i < m->defaults_pyobjects; i++) - Py_VISIT(pydefaults[i]); - } - return 0; -} -static PyObject* -__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) -{ -#if PY_MAJOR_VERSION >= 3 - return PyUnicode_FromFormat("", - op->func_qualname, (void *)op); -#else - return PyString_FromFormat("", - PyString_AsString(op->func_qualname), (void *)op); 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if (unlikely(!arg0)) return NULL; - #endif - result = (*meth)(self, arg0); - #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) - Py_DECREF(arg0); - #endif - return result; - } -#if CYTHON_COMPILING_IN_LIMITED_API - py_name = __Pyx_CyFunction_get_name((__pyx_CyFunctionObject*)func, NULL); - if (!py_name) return NULL; - PyErr_Format(PyExc_TypeError, - "%.200S() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", - py_name, size); - Py_DECREF(py_name); -#else - PyErr_Format(PyExc_TypeError, - "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", - f->m_ml->ml_name, size); -#endif - return NULL; - } - break; - default: - PyErr_SetString(PyExc_SystemError, "Bad call flags for CyFunction"); - return NULL; - } -#if CYTHON_COMPILING_IN_LIMITED_API - py_name = __Pyx_CyFunction_get_name((__pyx_CyFunctionObject*)func, NULL); - if (!py_name) return NULL; - PyErr_Format(PyExc_TypeError, "%.200S() takes no keyword arguments", - py_name); - Py_DECREF(py_name); 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Py_False : Py_True; - Py_DECREF(use_cline_obj); - } else { - PyErr_Clear(); - use_cline = NULL; - } - } - if (!use_cline) { - c_line = 0; - (void) PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); - } - else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { - c_line = 0; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - return c_line; -} -#endif - -/* CodeObjectCache */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { - int start = 0, mid = 0, end = count - 1; - if (end >= 0 && code_line > entries[end].code_line) { - return count; - } - while (start < end) { - mid = start + (end - start) / 2; - if (code_line < entries[mid].code_line) { - end = mid; - } else if (code_line > entries[mid].code_line) { - start = mid + 1; - } else { - return mid; - } - } - if (code_line <= entries[mid].code_line) { - return mid; - } else { - return mid + 1; - } -} -static PyCodeObject *__pyx_find_code_object(int code_line) { - PyCodeObject* code_object; - int pos; - if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { - return NULL; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { - return NULL; - } - code_object = __pyx_code_cache.entries[pos].code_object; - Py_INCREF(code_object); - return code_object; -} -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { - int pos, i; - __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; - if (unlikely(!code_line)) { - return; - } - if (unlikely(!entries)) { - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); - if (likely(entries)) { - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = 64; - __pyx_code_cache.count = 1; - entries[0].code_line = code_line; - entries[0].code_object = code_object; - Py_INCREF(code_object); - } - return; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { - PyCodeObject* tmp = entries[pos].code_object; - entries[pos].code_object = code_object; - Py_DECREF(tmp); - return; - } - if (__pyx_code_cache.count == __pyx_code_cache.max_count) { - int new_max = __pyx_code_cache.max_count + 64; - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( - __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); - if (unlikely(!entries)) { - return; - } - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = new_max; - } - for (i=__pyx_code_cache.count; i>pos; i--) { - entries[i] = entries[i-1]; - } - entries[pos].code_line = code_line; - entries[pos].code_object = code_object; - __pyx_code_cache.count++; - Py_INCREF(code_object); -} -#endif - -/* AddTraceback */ -#include "compile.h" -#include "frameobject.h" -#include "traceback.h" -#if PY_VERSION_HEX >= 0x030b00a6 && !CYTHON_COMPILING_IN_LIMITED_API - #ifndef Py_BUILD_CORE - #define Py_BUILD_CORE 1 - #endif - #include "internal/pycore_frame.h" -#endif -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject *__Pyx_PyCode_Replace_For_AddTraceback(PyObject *code, PyObject *scratch_dict, - PyObject *firstlineno, PyObject *name) { - PyObject *replace = NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "co_firstlineno", firstlineno))) return NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "co_name", name))) return NULL; - replace = PyObject_GetAttrString(code, "replace"); - if (likely(replace)) { - PyObject *result; - result = PyObject_Call(replace, __pyx_empty_tuple, scratch_dict); - Py_DECREF(replace); - return result; - } - PyErr_Clear(); - #if __PYX_LIMITED_VERSION_HEX < 0x030780000 - { - PyObject *compiled = NULL, *result = NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "code", code))) return NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "type", (PyObject*)(&PyType_Type)))) return NULL; - compiled = Py_CompileString( - "out = type(code)(\n" - " code.co_argcount, code.co_kwonlyargcount, code.co_nlocals, code.co_stacksize,\n" - " code.co_flags, code.co_code, code.co_consts, code.co_names,\n" - " code.co_varnames, code.co_filename, co_name, co_firstlineno,\n" - " code.co_lnotab)\n", "", Py_file_input); - if (!compiled) return NULL; - result = PyEval_EvalCode(compiled, scratch_dict, scratch_dict); - Py_DECREF(compiled); - if (!result) PyErr_Print(); - Py_DECREF(result); - result = PyDict_GetItemString(scratch_dict, "out"); - if (result) Py_INCREF(result); - return result; - } - #else - return NULL; - #endif -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyObject *code_object = NULL, *py_py_line = NULL, *py_funcname = NULL, *dict = NULL; - PyObject *replace = NULL, *getframe = NULL, *frame = NULL; - PyObject *exc_type, *exc_value, *exc_traceback; - int success = 0; - if (c_line) { - (void) __pyx_cfilenm; - (void) __Pyx_CLineForTraceback(__Pyx_PyThreadState_Current, c_line); - } - PyErr_Fetch(&exc_type, &exc_value, &exc_traceback); - code_object = Py_CompileString("_getframe()", filename, Py_eval_input); - if (unlikely(!code_object)) goto bad; - py_py_line = PyLong_FromLong(py_line); - if (unlikely(!py_py_line)) goto bad; - py_funcname = PyUnicode_FromString(funcname); - if (unlikely(!py_funcname)) goto bad; - dict = PyDict_New(); - if (unlikely(!dict)) goto bad; - { - PyObject *old_code_object = code_object; - code_object = __Pyx_PyCode_Replace_For_AddTraceback(code_object, dict, py_py_line, py_funcname); - Py_DECREF(old_code_object); - } - if (unlikely(!code_object)) goto bad; - getframe = PySys_GetObject("_getframe"); - if (unlikely(!getframe)) goto bad; - if (unlikely(PyDict_SetItemString(dict, "_getframe", getframe))) goto bad; - frame = PyEval_EvalCode(code_object, dict, dict); - if (unlikely(!frame) || frame == Py_None) goto bad; - success = 1; - bad: - PyErr_Restore(exc_type, exc_value, exc_traceback); - Py_XDECREF(code_object); - Py_XDECREF(py_py_line); - Py_XDECREF(py_funcname); - Py_XDECREF(dict); - Py_XDECREF(replace); - if (success) { - PyTraceBack_Here( - (struct _frame*)frame); - } - Py_XDECREF(frame); -} -#else -static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( - const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = NULL; - PyObject *py_funcname = NULL; - #if PY_MAJOR_VERSION < 3 - PyObject *py_srcfile = NULL; - py_srcfile = PyString_FromString(filename); - if (!py_srcfile) goto bad; - #endif - if (c_line) { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - #else - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - funcname = PyUnicode_AsUTF8(py_funcname); - if (!funcname) goto bad; - #endif - } - else { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromString(funcname); - if (!py_funcname) goto bad; - #endif - } - #if PY_MAJOR_VERSION < 3 - py_code = __Pyx_PyCode_New( - 0, - 0, - 0, - 0, - 0, - 0, - __pyx_empty_bytes, /*PyObject *code,*/ - __pyx_empty_tuple, /*PyObject *consts,*/ - __pyx_empty_tuple, /*PyObject *names,*/ - __pyx_empty_tuple, /*PyObject *varnames,*/ - __pyx_empty_tuple, /*PyObject *freevars,*/ - __pyx_empty_tuple, /*PyObject *cellvars,*/ - py_srcfile, /*PyObject *filename,*/ - py_funcname, /*PyObject *name,*/ - py_line, - __pyx_empty_bytes /*PyObject *lnotab*/ - ); - Py_DECREF(py_srcfile); - #else - py_code = PyCode_NewEmpty(filename, funcname, py_line); - #endif - Py_XDECREF(py_funcname); - return py_code; -bad: - Py_XDECREF(py_funcname); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_srcfile); - #endif - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyFrameObject *py_frame = 0; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject *ptype, *pvalue, *ptraceback; - if (c_line) { - c_line = __Pyx_CLineForTraceback(tstate, c_line); - } - py_code = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!py_code) { - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); - py_code = __Pyx_CreateCodeObjectForTraceback( - funcname, c_line, py_line, filename); - if (!py_code) { - /* If the code object creation fails, then we should clear the - fetched exception references and propagate the new exception */ - Py_XDECREF(ptype); - Py_XDECREF(pvalue); - Py_XDECREF(ptraceback); - goto bad; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); - } - py_frame = PyFrame_New( - tstate, /*PyThreadState *tstate,*/ - py_code, /*PyCodeObject *code,*/ - __pyx_d, /*PyObject *globals,*/ - 0 /*PyObject *locals*/ - ); - if (!py_frame) goto bad; - __Pyx_PyFrame_SetLineNumber(py_frame, py_line); - PyTraceBack_Here(py_frame); -bad: - Py_XDECREF(py_code); - Py_XDECREF(py_frame); -} -#endif - -#if PY_MAJOR_VERSION < 3 -static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { - __Pyx_TypeName obj_type_name; - if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "'" __Pyx_FMT_TYPENAME "' does not have the buffer interface", - obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return -1; -} -static void __Pyx_ReleaseBuffer(Py_buffer *view) { - PyObject *obj = view->obj; - if (!obj) return; - if (PyObject_CheckBuffer(obj)) { - PyBuffer_Release(view); - return; - } - if ((0)) {} - view->obj = NULL; - Py_DECREF(obj); -} -#endif - - -/* MemviewSliceIsContig */ -static int -__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) -{ - int i, index, step, start; - Py_ssize_t itemsize = mvs.memview->view.itemsize; - if (order == 'F') { - step = 1; - start = 0; - } else { - step = -1; - start = ndim - 1; - } - for (i = 0; i < ndim; i++) { - index = start + step * i; - if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) - return 0; - itemsize *= mvs.shape[index]; - } - return 1; -} - -/* OverlappingSlices */ -static void -__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, - void **out_start, void **out_end, - int ndim, size_t itemsize) -{ - char *start, *end; - int i; - start = end = slice->data; - for (i = 0; i < ndim; i++) { - Py_ssize_t stride = slice->strides[i]; - Py_ssize_t extent = slice->shape[i]; - if (extent == 0) { - *out_start = *out_end = start; - return; - } else { - if (stride > 0) - end += stride * (extent - 1); - else - start += stride * (extent - 1); - } - } - *out_start = start; - *out_end = end + itemsize; -} -static int -__pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize) -{ - void *start1, *end1, *start2, *end2; - __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); - __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); - return (start1 < end2) && (start2 < end1); -} - -/* IsLittleEndian */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) -{ - union { - uint32_t u32; - uint8_t u8[4]; - } S; - S.u32 = 0x01020304; - return S.u8[0] == 4; -} - -/* BufferFormatCheck */ -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - __Pyx_TypeInfo* type) { - stack[0].field = &ctx->root; - stack[0].parent_offset = 0; - ctx->root.type = type; - ctx->root.name = "buffer dtype"; - ctx->root.offset = 0; - ctx->head = stack; - ctx->head->field = &ctx->root; - ctx->fmt_offset = 0; - ctx->head->parent_offset = 0; - ctx->new_packmode = '@'; - ctx->enc_packmode = '@'; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->is_complex = 0; - ctx->is_valid_array = 0; - ctx->struct_alignment = 0; - while (type->typegroup == 'S') { - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = 0; - type = type->fields->type; - } -} -static int __Pyx_BufFmt_ParseNumber(const char** ts) { - int count; - const char* t = *ts; - if (*t < '0' || *t > '9') { - return -1; - } else { - count = *t++ - '0'; - while (*t >= '0' && *t <= '9') { - count *= 10; - count += *t++ - '0'; - } - } - *ts = t; - return count; -} -static int __Pyx_BufFmt_ExpectNumber(const char **ts) { - int number = __Pyx_BufFmt_ParseNumber(ts); - if (number == -1) - PyErr_Format(PyExc_ValueError,\ - "Does not understand character buffer dtype format string ('%c')", **ts); - return number; -} -static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { - PyErr_Format(PyExc_ValueError, - "Unexpected format string character: '%c'", ch); -} -static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { - switch (ch) { - case '?': return "'bool'"; - case 'c': return "'char'"; - case 'b': return "'signed char'"; - case 'B': return "'unsigned char'"; - case 'h': return "'short'"; - case 'H': return "'unsigned short'"; - case 'i': return "'int'"; - case 'I': return "'unsigned int'"; - case 'l': return "'long'"; - case 'L': return "'unsigned long'"; - case 'q': return "'long long'"; - case 'Q': return "'unsigned long long'"; - case 'f': return (is_complex ? "'complex float'" : "'float'"); - case 'd': return (is_complex ? "'complex double'" : "'double'"); - case 'g': return (is_complex ? "'complex long double'" : "'long double'"); - case 'T': return "a struct"; - case 'O': return "Python object"; - case 'P': return "a pointer"; - case 's': case 'p': return "a string"; - case 0: return "end"; - default: return "unparsable format string"; - } -} -static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return 2; - case 'i': case 'I': case 'l': case 'L': return 4; - case 'q': case 'Q': return 8; - case 'f': return (is_complex ? 8 : 4); - case 'd': return (is_complex ? 16 : 8); - case 'g': { - PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); - return 0; - } - case 'O': case 'P': return sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(short); - case 'i': case 'I': return sizeof(int); - case 'l': case 'L': return sizeof(long); - #ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(PY_LONG_LONG); - #endif - case 'f': return sizeof(float) * (is_complex ? 2 : 1); - case 'd': return sizeof(double) * (is_complex ? 2 : 1); - case 'g': return sizeof(long double) * (is_complex ? 2 : 1); - case 'O': case 'P': return sizeof(void*); - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -typedef struct { char c; short x; } __Pyx_st_short; -typedef struct { char c; int x; } __Pyx_st_int; -typedef struct { char c; long x; } __Pyx_st_long; -typedef struct { char c; float x; } __Pyx_st_float; -typedef struct { char c; double x; } __Pyx_st_double; -typedef struct { char c; long double x; } __Pyx_st_longdouble; -typedef struct { char c; void *x; } __Pyx_st_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_st_float) - sizeof(float); - case 'd': return sizeof(__Pyx_st_double) - sizeof(double); - case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -/* These are for computing the padding at the end of the struct to align - on the first member of the struct. This will probably the same as above, - but we don't have any guarantees. - */ -typedef struct { short x; char c; } __Pyx_pad_short; -typedef struct { int x; char c; } __Pyx_pad_int; -typedef struct { long x; char c; } __Pyx_pad_long; -typedef struct { float x; char c; } __Pyx_pad_float; -typedef struct { double x; char c; } __Pyx_pad_double; -typedef struct { long double x; char c; } __Pyx_pad_longdouble; -typedef struct { void *x; char c; } __Pyx_pad_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); - case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); - case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { - switch (ch) { - case 'c': - return 'H'; - case 'b': case 'h': case 'i': - case 'l': case 'q': case 's': case 'p': - return 'I'; - case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': - return 'U'; - case 'f': case 'd': case 'g': - return (is_complex ? 'C' : 'R'); - case 'O': - return 'O'; - case 'P': - return 'P'; - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { - if (ctx->head == NULL || ctx->head->field == &ctx->root) { - const char* expected; - const char* quote; - if (ctx->head == NULL) { - expected = "end"; - quote = ""; - } else { - expected = ctx->head->field->type->name; - quote = "'"; - } - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected %s%s%s but got %s", - quote, expected, quote, - __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); - } else { - __Pyx_StructField* field = ctx->head->field; - __Pyx_StructField* parent = (ctx->head - 1)->field; - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", - field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), - parent->type->name, field->name); - } -} -static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { - char group; - size_t size, offset, arraysize = 1; - if (ctx->enc_type == 0) return 0; - if (ctx->head->field->type->arraysize[0]) { - int i, ndim = 0; - if (ctx->enc_type == 's' || ctx->enc_type == 'p') { - ctx->is_valid_array = ctx->head->field->type->ndim == 1; - ndim = 1; - if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %zu", - ctx->head->field->type->arraysize[0], ctx->enc_count); - return -1; - } - } - if (!ctx->is_valid_array) { - PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", - ctx->head->field->type->ndim, ndim); - return -1; - } - for (i = 0; i < ctx->head->field->type->ndim; i++) { - arraysize *= ctx->head->field->type->arraysize[i]; - } - ctx->is_valid_array = 0; - ctx->enc_count = 1; - } - group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); - do { - __Pyx_StructField* field = ctx->head->field; - __Pyx_TypeInfo* type = field->type; - if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { - size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); - } else { - size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); - } - if (ctx->enc_packmode == '@') { - size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); - size_t align_mod_offset; - if (align_at == 0) return -1; - align_mod_offset = ctx->fmt_offset % align_at; - if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; - if (ctx->struct_alignment == 0) - ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, - ctx->is_complex); - } - if (type->size != size || type->typegroup != group) { - if (type->typegroup == 'C' && type->fields != NULL) { - size_t parent_offset = ctx->head->parent_offset + field->offset; - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = parent_offset; - continue; - } - if ((type->typegroup == 'H' || group == 'H') && type->size == size) { - } else { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - } - offset = ctx->head->parent_offset + field->offset; - if (ctx->fmt_offset != offset) { - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", - (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); - return -1; - } - ctx->fmt_offset += size; - if (arraysize) - ctx->fmt_offset += (arraysize - 1) * size; - --ctx->enc_count; - while (1) { - if (field == &ctx->root) { - ctx->head = NULL; - if (ctx->enc_count != 0) { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - break; - } - ctx->head->field = ++field; - if (field->type == NULL) { - --ctx->head; - field = ctx->head->field; - continue; - } else if (field->type->typegroup == 'S') { - size_t parent_offset = ctx->head->parent_offset + field->offset; - if (field->type->fields->type == NULL) continue; - field = field->type->fields; - ++ctx->head; - ctx->head->field = field; - ctx->head->parent_offset = parent_offset; - break; - } else { - break; - } - } - } while (ctx->enc_count); - ctx->enc_type = 0; - ctx->is_complex = 0; - return 0; -} -static int -__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) -{ - const char *ts = *tsp; - int i = 0, number, ndim; - ++ts; - if (ctx->new_count != 1) { - PyErr_SetString(PyExc_ValueError, - "Cannot handle repeated arrays in format string"); - return -1; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return -1; - ndim = ctx->head->field->type->ndim; - while (*ts && *ts != ')') { - switch (*ts) { - case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; - default: break; - } - number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return -1; - if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %d", - ctx->head->field->type->arraysize[i], number); - return -1; - } - if (*ts != ',' && *ts != ')') { - PyErr_Format(PyExc_ValueError, - "Expected a comma in format string, got '%c'", *ts); - return -1; - } - if (*ts == ',') ts++; - i++; - } - if (i != ndim) { - PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", - ctx->head->field->type->ndim, i); - return -1; - } - if (!*ts) { - PyErr_SetString(PyExc_ValueError, - "Unexpected end of format string, expected ')'"); - return -1; - } - ctx->is_valid_array = 1; - ctx->new_count = 1; - *tsp = ++ts; - return 0; -} -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { - int got_Z = 0; - while (1) { - switch(*ts) { - case 0: - if (ctx->enc_type != 0 && ctx->head == NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - if (ctx->head != NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - return ts; - case ' ': - case '\r': - case '\n': - ++ts; - break; - case '<': - if (!__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '>': - case '!': - if (__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '=': - case '@': - case '^': - ctx->new_packmode = *ts++; - break; - case 'T': - { - const char* ts_after_sub; - size_t i, struct_count = ctx->new_count; - size_t struct_alignment = ctx->struct_alignment; - ctx->new_count = 1; - ++ts; - if (*ts != '{') { - PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - ctx->enc_count = 0; - ctx->struct_alignment = 0; - ++ts; - ts_after_sub = ts; - for (i = 0; i != struct_count; ++i) { - ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); - if (!ts_after_sub) return NULL; - } - ts = ts_after_sub; - if (struct_alignment) ctx->struct_alignment = struct_alignment; - } - break; - case '}': - { - size_t alignment = ctx->struct_alignment; - ++ts; - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - if (alignment && ctx->fmt_offset % alignment) { - ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); - } - } - return ts; - case 'x': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->fmt_offset += ctx->new_count; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->enc_packmode = ctx->new_packmode; - ++ts; - break; - case 'Z': - got_Z = 1; - ++ts; - if (*ts != 'f' && *ts != 'd' && *ts != 'g') { - __Pyx_BufFmt_RaiseUnexpectedChar('Z'); - return NULL; - } - CYTHON_FALLTHROUGH; - case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': - case 'l': case 'L': case 'q': case 'Q': - case 'f': case 'd': case 'g': - case 'O': case 'p': - if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && - (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { - ctx->enc_count += ctx->new_count; - ctx->new_count = 1; - got_Z = 0; - ++ts; - break; - } - CYTHON_FALLTHROUGH; - case 's': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_count = ctx->new_count; - ctx->enc_packmode = ctx->new_packmode; - ctx->enc_type = *ts; - ctx->is_complex = got_Z; - ++ts; - ctx->new_count = 1; - got_Z = 0; - break; - case ':': - ++ts; - while(*ts != ':') ++ts; - ++ts; - break; - case '(': - if (__pyx_buffmt_parse_array(ctx, &ts) < 0) return NULL; - break; - default: - { - int number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - ctx->new_count = (size_t)number; - } - } - } -} - -/* TypeInfoCompare */ - static int -__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) -{ - int i; - if (!a || !b) - return 0; - if (a == b) - return 1; - if (a->size != b->size || a->typegroup != b->typegroup || - a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { - if (a->typegroup == 'H' || b->typegroup == 'H') { - return a->size == b->size; - } else { - return 0; - } - } - if (a->ndim) { - for (i = 0; i < a->ndim; i++) - if (a->arraysize[i] != b->arraysize[i]) - return 0; - } - if (a->typegroup == 'S') { - if (a->flags != b->flags) - return 0; - if (a->fields || b->fields) { - if (!(a->fields && b->fields)) - return 0; - for (i = 0; a->fields[i].type && b->fields[i].type; i++) { - __Pyx_StructField *field_a = a->fields + i; - __Pyx_StructField *field_b = b->fields + i; - if (field_a->offset != field_b->offset || - !__pyx_typeinfo_cmp(field_a->type, field_b->type)) - return 0; - } - return !a->fields[i].type && !b->fields[i].type; - } - } - return 1; -} - -/* MemviewSliceValidateAndInit */ - static int -__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) -{ - if (buf->shape[dim] <= 1) - return 1; - if (buf->strides) { - if (spec & __Pyx_MEMVIEW_CONTIG) { - if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { - if (unlikely(buf->strides[dim] != sizeof(void *))) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly contiguous " - "in dimension %d.", dim); - goto fail; - } - } else if (unlikely(buf->strides[dim] != buf->itemsize)) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_FOLLOW) { - Py_ssize_t stride = buf->strides[dim]; - if (stride < 0) - stride = -stride; - if (unlikely(stride < buf->itemsize)) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - } else { - if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not contiguous in " - "dimension %d", dim); - goto fail; - } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not indirect in " - "dimension %d", dim); - goto fail; - } else if (unlikely(buf->suboffsets)) { - PyErr_SetString(PyExc_ValueError, - "Buffer exposes suboffsets but no strides"); - goto fail; - } - } - return 1; -fail: - return 0; -} -static int -__pyx_check_suboffsets(Py_buffer *buf, int dim, int ndim, int spec) -{ - CYTHON_UNUSED_VAR(ndim); - if (spec & __Pyx_MEMVIEW_DIRECT) { - if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) { - PyErr_Format(PyExc_ValueError, - "Buffer not compatible with direct access " - "in dimension %d.", dim); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_PTR) { - if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly accessible " - "in dimension %d.", dim); - goto fail; - } - } - return 1; -fail: - return 0; -} -static int -__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) -{ - int i; - if (c_or_f_flag & __Pyx_IS_F_CONTIG) { - Py_ssize_t stride = 1; - for (i = 0; i < ndim; i++) { - if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { - PyErr_SetString(PyExc_ValueError, - "Buffer not fortran contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { - Py_ssize_t stride = 1; - for (i = ndim - 1; i >- 1; i--) { - if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { - PyErr_SetString(PyExc_ValueError, - "Buffer not C contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } - return 1; -fail: - return 0; -} -static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj) -{ - struct __pyx_memoryview_obj *memview, *new_memview; - __Pyx_RefNannyDeclarations - Py_buffer *buf; - int i, spec = 0, retval = -1; - __Pyx_BufFmt_Context ctx; - int from_memoryview = __pyx_memoryview_check(original_obj); - __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); - if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) - original_obj)->typeinfo)) { - memview = (struct __pyx_memoryview_obj *) original_obj; - new_memview = NULL; - } else { - memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - original_obj, buf_flags, 0, dtype); - new_memview = memview; - if (unlikely(!memview)) - goto fail; - } - buf = &memview->view; - if (unlikely(buf->ndim != ndim)) { - PyErr_Format(PyExc_ValueError, - "Buffer has wrong number of dimensions (expected %d, got %d)", - ndim, buf->ndim); - goto fail; - } - if (new_memview) { - __Pyx_BufFmt_Init(&ctx, stack, dtype); - if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail; - } - if (unlikely((unsigned) buf->itemsize != dtype->size)) { - PyErr_Format(PyExc_ValueError, - "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " - "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", - buf->itemsize, - (buf->itemsize > 1) ? "s" : "", - dtype->name, - dtype->size, - (dtype->size > 1) ? "s" : ""); - goto fail; - } - if (buf->len > 0) { - for (i = 0; i < ndim; i++) { - spec = axes_specs[i]; - if (unlikely(!__pyx_check_strides(buf, i, ndim, spec))) - goto fail; - if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec))) - goto fail; - } - if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))) - goto fail; - } - if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, - new_memview != NULL) == -1)) { - goto fail; - } - retval = 0; - goto no_fail; -fail: - Py_XDECREF(new_memview); - retval = -1; -no_fail: - __Pyx_RefNannyFinishContext(); - return retval; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 2, - &__Pyx_TypeInfo_double, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 1, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) -#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) -#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ - } - -/* MemviewDtypeToObject */ - static CYTHON_INLINE PyObject *__pyx_memview_get_double(const char *itemp) { - return (PyObject *) PyFloat_FromDouble(*(double *) itemp); -} -static CYTHON_INLINE int __pyx_memview_set_double(const char *itemp, PyObject *obj) { - double value = __pyx_PyFloat_AsDouble(obj); - if (unlikely((value == (double)-1) && PyErr_Occurred())) - return 0; - *(double *) itemp = value; - return 1; -} - -/* MemviewDtypeToObject */ - static CYTHON_INLINE PyObject *__pyx_memview_get_int(const char *itemp) { - return (PyObject *) __Pyx_PyInt_From_int(*(int *) itemp); -} -static CYTHON_INLINE int __pyx_memview_set_int(const char *itemp, PyObject *obj) { - int value = __Pyx_PyInt_As_int(obj); - if (unlikely((value == (int)-1) && PyErr_Occurred())) - return 0; - *(int *) itemp = value; - return 1; -} - -/* Declarations */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return ::std::complex< float >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return x + y*(__pyx_t_float_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - __pyx_t_float_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabsf(b.real) >= fabsf(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - float r = b.imag / b.real; - float s = (float)(1.0) / (b.real + b.imag * r); - return __pyx_t_float_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - float r = b.real / b.imag; - float s = (float)(1.0) / (b.imag + b.real * r); - return __pyx_t_float_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - float denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_float_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrtf(z.real*z.real + z.imag*z.imag); - #else - return hypotf(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - float r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - float denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_float(a, a); - case 3: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, a); - case 4: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if ((b.imag == 0) && (a.real >= 0)) { - z.real = powf(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2f(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_float(a); - theta = atan2f(a.imag, a.real); - } - lnr = logf(r); - z_r = expf(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cosf(z_theta); - z.imag = z_r * sinf(z_theta); - return z; - } - #endif -#endif - -/* Declarations */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return ::std::complex< double >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return x + y*(__pyx_t_double_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - __pyx_t_double_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabs(b.real) >= fabs(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - double r = b.imag / b.real; - double s = (double)(1.0) / (b.real + b.imag * r); - return __pyx_t_double_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - double r = b.real / b.imag; - double s = (double)(1.0) / (b.imag + b.real * r); - return __pyx_t_double_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - double denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_double_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrt(z.real*z.real + z.imag*z.imag); - #else - return hypot(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - double r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - double denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_double(a, a); - case 3: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, a); - case 4: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if ((b.imag == 0) && (a.real >= 0)) { - z.real = pow(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_double(a); - theta = atan2(a.imag, a.real); - } - lnr = log(r); - z_r = exp(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cos(z_theta); - z.imag = z_r * sin(z_theta); - return z; - } - #endif -#endif - -/* MemviewSliceCopyTemplate */ - static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object) -{ - __Pyx_RefNannyDeclarations - int i; - __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; - struct __pyx_memoryview_obj *from_memview = from_mvs->memview; - Py_buffer *buf = &from_memview->view; - PyObject *shape_tuple = NULL; - PyObject *temp_int = NULL; - struct __pyx_array_obj *array_obj = NULL; - struct __pyx_memoryview_obj *memview_obj = NULL; - __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); - for (i = 0; i < ndim; i++) { - if (unlikely(from_mvs->suboffsets[i] >= 0)) { - PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " - "indirect dimensions (axis %d)", i); - goto fail; - } - } - shape_tuple = PyTuple_New(ndim); - if (unlikely(!shape_tuple)) { - goto fail; - } - __Pyx_GOTREF(shape_tuple); - for(i = 0; i < ndim; i++) { - temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); - if(unlikely(!temp_int)) { - goto fail; - } else { - PyTuple_SET_ITEM(shape_tuple, i, temp_int); - temp_int = NULL; - } - } - array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); - if (unlikely(!array_obj)) { - goto fail; - } - __Pyx_GOTREF(array_obj); - memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - (PyObject *) array_obj, contig_flag, - dtype_is_object, - from_mvs->memview->typeinfo); - if (unlikely(!memview_obj)) - goto fail; - if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) - goto fail; - if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, - dtype_is_object) < 0)) - goto fail; - goto no_fail; -fail: - __Pyx_XDECREF(new_mvs.memview); - new_mvs.memview = NULL; - new_mvs.data = NULL; -no_fail: - __Pyx_XDECREF(shape_tuple); - __Pyx_XDECREF(temp_int); - __Pyx_XDECREF(array_obj); - __Pyx_RefNannyFinishContext(); - return new_mvs; -} - -/* MemviewSliceInit */ - static int -__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, - int ndim, - __Pyx_memviewslice *memviewslice, - int memview_is_new_reference) -{ - __Pyx_RefNannyDeclarations - int i, retval=-1; - Py_buffer *buf = &memview->view; - __Pyx_RefNannySetupContext("init_memviewslice", 0); - if (unlikely(memviewslice->memview || memviewslice->data)) { - PyErr_SetString(PyExc_ValueError, - "memviewslice is already initialized!"); - goto fail; - } - if (buf->strides) { - for (i = 0; i < ndim; i++) { - memviewslice->strides[i] = buf->strides[i]; - } - } else { - Py_ssize_t stride = buf->itemsize; - for (i = ndim - 1; i >= 0; i--) { - memviewslice->strides[i] = stride; - stride *= buf->shape[i]; - } - } - for (i = 0; i < ndim; i++) { - memviewslice->shape[i] = buf->shape[i]; - if (buf->suboffsets) { - memviewslice->suboffsets[i] = buf->suboffsets[i]; - } else { - memviewslice->suboffsets[i] = -1; - } - } - memviewslice->memview = memview; - memviewslice->data = (char *)buf->buf; - if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { - Py_INCREF(memview); - } - retval = 0; - goto no_fail; -fail: - memviewslice->memview = 0; - memviewslice->data = 0; - retval = -1; -no_fail: - __Pyx_RefNannyFinishContext(); - return retval; -} -#ifndef Py_NO_RETURN -#define Py_NO_RETURN -#endif -static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN { - va_list vargs; - char msg[200]; -#if PY_VERSION_HEX >= 0x030A0000 || defined(HAVE_STDARG_PROTOTYPES) - va_start(vargs, fmt); -#else - va_start(vargs); -#endif - vsnprintf(msg, 200, fmt, vargs); - va_end(vargs); - Py_FatalError(msg); -} -static CYTHON_INLINE int -__pyx_add_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, - PyThread_type_lock lock) -{ - int result; - PyThread_acquire_lock(lock, 1); - result = (*acquisition_count)++; - PyThread_release_lock(lock); - return result; -} -static CYTHON_INLINE int -__pyx_sub_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, - PyThread_type_lock lock) -{ - int result; - PyThread_acquire_lock(lock, 1); - result = (*acquisition_count)--; - PyThread_release_lock(lock); - return result; -} -static CYTHON_INLINE void -__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) -{ - __pyx_nonatomic_int_type old_acquisition_count; - struct __pyx_memoryview_obj *memview = memslice->memview; - if (unlikely(!memview || (PyObject *) memview == Py_None)) { - return; - } - old_acquisition_count = __pyx_add_acquisition_count(memview); - if (unlikely(old_acquisition_count <= 0)) { - if (likely(old_acquisition_count == 0)) { - if (have_gil) { - Py_INCREF((PyObject *) memview); - } else { - PyGILState_STATE _gilstate = PyGILState_Ensure(); - Py_INCREF((PyObject *) memview); - PyGILState_Release(_gilstate); - } - } else { - __pyx_fatalerror("Acquisition count is %d (line %d)", - old_acquisition_count+1, lineno); - } - } -} -static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *memslice, - int have_gil, int lineno) { - __pyx_nonatomic_int_type old_acquisition_count; - struct __pyx_memoryview_obj *memview = memslice->memview; - if (unlikely(!memview || (PyObject *) memview == Py_None)) { - memslice->memview = NULL; - return; - } - old_acquisition_count = __pyx_sub_acquisition_count(memview); - memslice->data = NULL; - if (likely(old_acquisition_count > 1)) { - memslice->memview = NULL; - } else if (likely(old_acquisition_count == 1)) { - if (have_gil) { - Py_CLEAR(memslice->memview); - } else { - PyGILState_STATE _gilstate = PyGILState_Ensure(); - Py_CLEAR(memslice->memview); - PyGILState_Release(_gilstate); - } - } else { - __pyx_fatalerror("Acquisition count is %d (line %d)", - old_acquisition_count-1, lineno); - } -} - -/* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(int) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (int) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 2 * PyLong_SHIFT)) { - return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 3 * PyLong_SHIFT)) { - return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 4 * PyLong_SHIFT)) { - return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(int) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(int) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(int) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(int) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(int) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - int val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (int) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (int) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (int) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (int) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(int) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((int) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(int) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((int) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((int) 1) << (sizeof(int) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (int) -1; - } - } else { - int val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (int) -1; - val = __Pyx_PyInt_As_int(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to int"); - return (int) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to int"); - return (int) -1; -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const long neg_one = (long) -1, const_zero = (long) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; -#if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); -#else - PyObject *from_bytes, *result = NULL; - PyObject *py_bytes = NULL, *arg_tuple = NULL, *kwds = NULL, *order_str = NULL; - from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); - if (!from_bytes) return NULL; - py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(long)); - if (!py_bytes) goto limited_bad; - order_str = PyUnicode_FromString(little ? "little" : "big"); - if (!order_str) goto limited_bad; - arg_tuple = PyTuple_Pack(2, py_bytes, order_str); - if (!arg_tuple) goto limited_bad; - if (!is_unsigned) { - kwds = PyDict_New(); - if (!kwds) goto limited_bad; - if (PyDict_SetItemString(kwds, "signed", __Pyx_NewRef(Py_True))) goto limited_bad; - } - result = PyObject_Call(from_bytes, arg_tuple, kwds); - limited_bad: - Py_XDECREF(kwds); - Py_XDECREF(arg_tuple); - Py_XDECREF(order_str); - Py_XDECREF(py_bytes); - Py_XDECREF(from_bytes); - return result; -#endif - } -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(int) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(int) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(int) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; -#if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 - return _PyLong_FromByteArray(bytes, sizeof(int), - little, !is_unsigned); -#else - PyObject *from_bytes, *result = NULL; - PyObject *py_bytes = NULL, *arg_tuple = NULL, *kwds = NULL, *order_str = NULL; - from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); - if (!from_bytes) return NULL; - py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(int)); - if (!py_bytes) goto limited_bad; - order_str = PyUnicode_FromString(little ? "little" : "big"); - if (!order_str) goto limited_bad; - arg_tuple = PyTuple_Pack(2, py_bytes, order_str); - if (!arg_tuple) goto limited_bad; - if (!is_unsigned) { - kwds = PyDict_New(); - if (!kwds) goto limited_bad; - if (PyDict_SetItemString(kwds, "signed", __Pyx_NewRef(Py_True))) goto limited_bad; - } - result = PyObject_Call(from_bytes, arg_tuple, kwds); - limited_bad: - Py_XDECREF(kwds); - Py_XDECREF(arg_tuple); - Py_XDECREF(order_str); - Py_XDECREF(py_bytes); - Py_XDECREF(from_bytes); - return result; -#endif - } -} - -/* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const long neg_one = (long) -1, const_zero = (long) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(long) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (long) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 2 * PyLong_SHIFT)) { - return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 3 * PyLong_SHIFT)) { - return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 4 * PyLong_SHIFT)) { - return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(long) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(long) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(long) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(long) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(long) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - long val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (long) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (long) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (long) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (long) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(long) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((long) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(long) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((long) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((long) 1) << (sizeof(long) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (long) -1; - } - } else { - long val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (long) -1; - val = __Pyx_PyInt_As_long(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to long"); - return (long) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to long"); - return (long) -1; -} - -/* CIntFromPy */ - static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const char neg_one = (char) -1, const_zero = (char) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(char) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (char) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 2 * PyLong_SHIFT)) { - return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 3 * PyLong_SHIFT)) { - return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 4 * PyLong_SHIFT)) { - return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (char) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(char) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(char) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(char) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { - return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(char) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(char) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - char val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (char) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (char) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (char) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (char) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (char) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(char) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((char) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(char) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((char) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((char) 1) << (sizeof(char) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (char) -1; - } - } else { - char val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (char) -1; - val = __Pyx_PyInt_As_char(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to char"); - return (char) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to char"); - return (char) -1; -} - -/* FormatTypeName */ - #if CYTHON_COMPILING_IN_LIMITED_API -static __Pyx_TypeName -__Pyx_PyType_GetName(PyTypeObject* tp) -{ - PyObject *name = __Pyx_PyObject_GetAttrStr((PyObject *)tp, - __pyx_n_s_name_2); - if (unlikely(name == NULL) || unlikely(!PyUnicode_Check(name))) { - PyErr_Clear(); - Py_XDECREF(name); - name = __Pyx_NewRef(__pyx_n_s__28); - } - return name; -} -#endif - -/* CheckBinaryVersion */ - static unsigned long __Pyx_get_runtime_version(void) { -#if __PYX_LIMITED_VERSION_HEX >= 0x030B00A4 - return Py_Version & ~0xFFUL; -#else - const char* rt_version = Py_GetVersion(); - unsigned long version = 0; - unsigned long factor = 0x01000000UL; - unsigned int digit = 0; - int i = 0; - while (factor) { - while ('0' <= rt_version[i] && rt_version[i] <= '9') { - digit = digit * 10 + (unsigned int) (rt_version[i] - '0'); - ++i; - } - version += factor * digit; - if (rt_version[i] != '.') - break; - digit = 0; - factor >>= 8; - ++i; - } - return version; -#endif -} -static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer) { - const unsigned long MAJOR_MINOR = 0xFFFF0000UL; - if ((rt_version & MAJOR_MINOR) == (ct_version & MAJOR_MINOR)) - return 0; - if (likely(allow_newer && (rt_version & MAJOR_MINOR) > (ct_version & MAJOR_MINOR))) - return 1; - { - char message[200]; - PyOS_snprintf(message, sizeof(message), - "compile time Python version %d.%d " - "of module '%.100s' " - "%s " - "runtime version %d.%d", - (int) (ct_version >> 24), (int) ((ct_version >> 16) & 0xFF), - __Pyx_MODULE_NAME, - (allow_newer) ? "was newer than" : "does not match", - (int) (rt_version >> 24), (int) ((rt_version >> 16) & 0xFF) - ); - return PyErr_WarnEx(NULL, message, 1); - } -} - -/* InitStrings */ - #if PY_MAJOR_VERSION >= 3 -static int __Pyx_InitString(__Pyx_StringTabEntry t, PyObject **str) { - if (t.is_unicode | t.is_str) { - if (t.intern) { - *str = PyUnicode_InternFromString(t.s); - } else if (t.encoding) { - *str = PyUnicode_Decode(t.s, t.n - 1, t.encoding, NULL); - } else { - *str = PyUnicode_FromStringAndSize(t.s, t.n - 1); - } - } else { - *str = PyBytes_FromStringAndSize(t.s, t.n - 1); - } - if (!*str) - return -1; - if (PyObject_Hash(*str) == -1) - return -1; - return 0; -} -#endif -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { - while (t->p) { - #if PY_MAJOR_VERSION >= 3 - __Pyx_InitString(*t, t->p); - #else - if (t->is_unicode) { - *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); - } else if (t->intern) { - *t->p = PyString_InternFromString(t->s); - } else { - *t->p = PyString_FromStringAndSize(t->s, t->n - 1); - } - if (!*t->p) - return -1; - if (PyObject_Hash(*t->p) == -1) - return -1; - #endif - ++t; - } - return 0; -} - -#include -static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s) { - size_t len = strlen(s); - if (unlikely(len > (size_t) PY_SSIZE_T_MAX)) { - PyErr_SetString(PyExc_OverflowError, "byte string is too long"); - return -1; - } - return (Py_ssize_t) len; -} -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { - Py_ssize_t len = __Pyx_ssize_strlen(c_str); - if (unlikely(len < 0)) return NULL; - return __Pyx_PyUnicode_FromStringAndSize(c_str, len); -} -static CYTHON_INLINE PyObject* __Pyx_PyByteArray_FromString(const char* c_str) { - Py_ssize_t len = __Pyx_ssize_strlen(c_str); - if (unlikely(len < 0)) return NULL; - return PyByteArray_FromStringAndSize(c_str, len); -} -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { - Py_ssize_t ignore; - return __Pyx_PyObject_AsStringAndSize(o, &ignore); -} -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#if !CYTHON_PEP393_ENABLED -static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - char* defenc_c; - PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); - if (!defenc) return NULL; - defenc_c = PyBytes_AS_STRING(defenc); -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - { - char* end = defenc_c + PyBytes_GET_SIZE(defenc); - char* c; - for (c = defenc_c; c < end; c++) { - if ((unsigned char) (*c) >= 128) { - PyUnicode_AsASCIIString(o); - return NULL; - } - } - } -#endif - *length = PyBytes_GET_SIZE(defenc); - return defenc_c; -} -#else -static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - if (likely(PyUnicode_IS_ASCII(o))) { - *length = PyUnicode_GET_LENGTH(o); - return PyUnicode_AsUTF8(o); - } else { - PyUnicode_AsASCIIString(o); - return NULL; - } -#else - return PyUnicode_AsUTF8AndSize(o, length); -#endif -} -#endif -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT - if ( -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - __Pyx_sys_getdefaultencoding_not_ascii && -#endif - PyUnicode_Check(o)) { - return __Pyx_PyUnicode_AsStringAndSize(o, length); - } else -#endif -#if (!CYTHON_COMPILING_IN_PYPY && !CYTHON_COMPILING_IN_LIMITED_API) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) - if (PyByteArray_Check(o)) { - *length = PyByteArray_GET_SIZE(o); - return PyByteArray_AS_STRING(o); - } else -#endif - { - char* result; - int r = PyBytes_AsStringAndSize(o, &result, length); - if (unlikely(r < 0)) { - return NULL; - } else { - return result; - } - } -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - int is_true = x == Py_True; - if (is_true | (x == Py_False) | (x == Py_None)) return is_true; - else return PyObject_IsTrue(x); -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { - int retval; - if (unlikely(!x)) return -1; - retval = __Pyx_PyObject_IsTrue(x); - Py_DECREF(x); - return retval; -} -static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { - __Pyx_TypeName result_type_name = __Pyx_PyType_GetName(Py_TYPE(result)); -#if PY_MAJOR_VERSION >= 3 - if (PyLong_Check(result)) { - if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, - "__int__ returned non-int (type " __Pyx_FMT_TYPENAME "). " - "The ability to return an instance of a strict subclass of int is deprecated, " - "and may be removed in a future version of Python.", - result_type_name)) { - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; - } - __Pyx_DECREF_TypeName(result_type_name); - return result; - } -#endif - PyErr_Format(PyExc_TypeError, - "__%.4s__ returned non-%.4s (type " __Pyx_FMT_TYPENAME ")", - type_name, type_name, result_type_name); - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { -#if CYTHON_USE_TYPE_SLOTS - PyNumberMethods *m; -#endif - const char *name = NULL; - PyObject *res = NULL; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x) || PyLong_Check(x))) -#else - if (likely(PyLong_Check(x))) -#endif - return __Pyx_NewRef(x); -#if CYTHON_USE_TYPE_SLOTS - m = Py_TYPE(x)->tp_as_number; - #if PY_MAJOR_VERSION < 3 - if (m && m->nb_int) { - name = "int"; - res = m->nb_int(x); - } - else if (m && m->nb_long) { - name = "long"; - res = m->nb_long(x); - } - #else - if (likely(m && m->nb_int)) { - name = "int"; - res = m->nb_int(x); - } - #endif -#else - if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { - res = PyNumber_Int(x); - } -#endif - if (likely(res)) { -#if PY_MAJOR_VERSION < 3 - if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { -#else - if (unlikely(!PyLong_CheckExact(res))) { -#endif - return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); - } - } - else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, - "an integer is required"); - } - return res; -} -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { - Py_ssize_t ival; - PyObject *x; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_CheckExact(b))) { - if (sizeof(Py_ssize_t) >= sizeof(long)) - return PyInt_AS_LONG(b); - else - return PyInt_AsSsize_t(b); - } -#endif - if (likely(PyLong_CheckExact(b))) { - #if CYTHON_USE_PYLONG_INTERNALS - if (likely(__Pyx_PyLong_IsCompact(b))) { - return __Pyx_PyLong_CompactValue(b); - } else { - const digit* digits = __Pyx_PyLong_Digits(b); - const Py_ssize_t size = __Pyx_PyLong_SignedDigitCount(b); - switch (size) { - case 2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - } - } - #endif - return PyLong_AsSsize_t(b); - } - x = PyNumber_Index(b); - if (!x) return -1; - ival = PyInt_AsSsize_t(x); - Py_DECREF(x); - return ival; -} -static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject* o) { - if (sizeof(Py_hash_t) == sizeof(Py_ssize_t)) { - return (Py_hash_t) __Pyx_PyIndex_AsSsize_t(o); -#if PY_MAJOR_VERSION < 3 - } else if (likely(PyInt_CheckExact(o))) { - return PyInt_AS_LONG(o); -#endif - } else { - Py_ssize_t ival; - PyObject *x; - x = PyNumber_Index(o); - if (!x) return -1; - ival = PyInt_AsLong(x); - Py_DECREF(x); - return ival; - } -} -static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { - return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); -} -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { - return PyInt_FromSize_t(ival); -} - - -/* #### Code section: utility_code_pragmas_end ### */ -#ifdef _MSC_VER -#pragma warning( pop ) -#endif - - - -/* #### Code section: end ### */ -#endif /* Py_PYTHON_H */ diff --git a/ml4co_kit/generator/__init__.py b/ml4co_kit/generator/__init__.py index b7a0e9c..f873b1d 100644 --- a/ml4co_kit/generator/__init__.py +++ b/ml4co_kit/generator/__init__.py @@ -1,4 +1,7 @@ -from .tsp_data import TSPDataGenerator -from .mis_data import MISDataGenerator -from .cvrp_data import CVRPDataGenerator from .atsp_data import ATSPDataGenerator +from .cvrp_data import CVRPDataGenerator +from .mc_data import MCDataGenerator +from .mcl_data import MClDataGenerator +from .mis_data import MISDataGenerator +from .mvc_data import MVCDataGenerator +from .tsp_data import TSPDataGenerator diff --git a/ml4co_kit/generator/atsp_data.py b/ml4co_kit/generator/atsp_data.py index 2c62a57..91201c0 100644 --- a/ml4co_kit/generator/atsp_data.py +++ b/ml4co_kit/generator/atsp_data.py @@ -8,6 +8,7 @@ from tqdm import tqdm from typing import Union from multiprocessing import Pool +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.solver import ATSPSolver, ATSPLKHSolver import warnings @@ -20,7 +21,7 @@ def __init__( num_threads: int = 1, nodes_num: int = 55, data_type: str = "sat", - solver: Union[str, ATSPSolver] = "LKH", + solver: Union[SOLVER_TYPE, ATSPSolver] = SOLVER_TYPE.LKH, train_samples_num: int = 128000, val_samples_num: int = 1280, test_samples_num: int = 1280, @@ -62,11 +63,13 @@ def __init__( self.test_samples_num = test_samples_num self.save_path = save_path self.filename = filename + # special for sat self.sat_vars_nums = sat_vars_nums self.sat_clauses_nums = sat_clauses_nums if self.data_type == "sat": self.nodes_num = 2 * sat_clauses_nums * sat_vars_nums + sat_clauses_nums + # check the input variables self.sample_types = ["train", "val", "test"] self.check_num_threads() @@ -102,7 +105,7 @@ def check_solver(self): if type(self.solver) == str: self.solver_type = self.solver supported_solver_dict = { - "LKH": ATSPLKHSolver + SOLVER_TYPE.LKH: ATSPLKHSolver } supported_solver_type = supported_solver_dict.keys() if self.solver_type not in supported_solver_type: @@ -179,21 +182,14 @@ def generate(self): range(self.samples_num // self.num_threads), desc=f"Solving ATSP Using {self.solver_type}", ): - # call generate_func to generate the points + # call generate_func to generate data batch_dists, tours = self.generate_func() # solve if tours is None: - if self.num_threads == 1: - tours = [self.solver.solve(batch_dists[0])] - else: - with Pool(self.num_threads) as p1: - tours = p1.map( - self.solver.solve, - [batch_dists[idx] for idx in range(self.num_threads)], - ) - p1.close() # Close the pool to indicate that no more tasks will be submitted - p1.join() # Wait for all processes in the pool to complete + tours = self.solver.solve( + dists=batch_dists, num_threads=self.num_threads + ) # write to txt for idx, tour in enumerate(tours): diff --git a/ml4co_kit/generator/cvrp_data.py b/ml4co_kit/generator/cvrp_data.py index 0830aa1..edb926f 100644 --- a/ml4co_kit/generator/cvrp_data.py +++ b/ml4co_kit/generator/cvrp_data.py @@ -7,6 +7,7 @@ from tqdm import tqdm from typing import Union from multiprocessing import Pool +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.solver import ( CVRPSolver, CVRPPyVRPSolver, CVRPLKHSolver, CVRPHGSSolver ) @@ -18,7 +19,7 @@ def __init__( num_threads: int = 1, nodes_num: int = 50, data_type: str = "uniform", - solver: Union[str, CVRPSolver] = "PyVRP", + solver: Union[SOLVER_TYPE, CVRPSolver] = SOLVER_TYPE.HGS, train_samples_num: int = 128000, val_samples_num: int = 1280, test_samples_num: int = 1280, @@ -115,9 +116,9 @@ def check_solver(self): if type(self.solver) == str: self.solver_type = self.solver supported_solver_dict = { - "PyVRP": CVRPPyVRPSolver, - "LKH": CVRPLKHSolver, - "HGS": CVRPHGSSolver + SOLVER_TYPE.HGS: CVRPHGSSolver, + SOLVER_TYPE.LKH: CVRPLKHSolver, + SOLVER_TYPE.PYVRP: CVRPPyVRPSolver } supported_solver_type = supported_solver_dict.keys() if self.solver_type not in supported_solver_type: @@ -199,31 +200,20 @@ def generate(self): range(self.samples_num // self.num_threads), desc=f"Solving CVRP Using {self.solver_type}", ): - # call generate_func to generate the points + # call generate_func to generate data batch_depots_coord, batch_nodes_coord = self.generate_func() batch_demands = self.generate_demands() batch_capacities = self.generate_capacities() # solve - if self.num_threads == 1: - tours = self.solver.solve( - depots=batch_depots_coord[0], - points=batch_nodes_coord[0], - demands=batch_demands[0], - capacities=batch_capacities[0] - ) - tours = [tours] - else: - with Pool(self.num_threads) as p1: - tours = p1.starmap( - self.solver.solve, - [(batch_depots_coord[idx], - batch_nodes_coord[idx], - batch_demands[idx], - batch_capacities[idx]) - for idx in range(self.num_threads)], - ) - + tours = self.solver.solve( + depots=batch_depots_coord, + points=batch_nodes_coord, + demands=batch_demands, + capacities=batch_capacities, + num_threads=self.num_threads + ) + # write to txt with open(self.file_save_path, "a+") as f: for idx, tour in enumerate(tours): diff --git a/ml4co_kit/generator/mc_data.py b/ml4co_kit/generator/mc_data.py new file mode 100644 index 0000000..89d210e --- /dev/null +++ b/ml4co_kit/generator/mc_data.py @@ -0,0 +1,273 @@ +import os +import time +import pickle +import pathlib +import random +import numpy as np +import networkx as nx +from tqdm import tqdm +from typing import Union +from ml4co_kit.utils.graph.mc import MCGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.solver import MCSolver, MCGurobiSolver + + +class MCDataGenerator: + def __init__( + self, + num_threads: int = 1, + nodes_num_min: int = 700, + nodes_num_max: int = 800, + data_type: str = "er", + solver: Union[SOLVER_TYPE, MCSolver] = SOLVER_TYPE.GUROBI, + train_samples_num: int = 128000, + val_samples_num: int = 1280, + test_samples_num: int = 1280, + save_path: pathlib.Path = "data/mc/er", + filename: str = None, + # args for generate + graph_weighted: bool = False, + er_prob: float = 0.5, + ba_conn_degree: int = 10, + hk_prob: float = 0.5, + hk_conn_degree: int = 10, + ws_prob: float = 0.5, + ws_ring_neighbors: int = 2, + ): + """ + MCDataGenerator + Args: + nodes_num_min (int, optional): + The minimum number of nodes. + nodes_num_max (int, optional): + The maximum number of nodes. + data_type (str, optional): + The data type. Support: ``erdos_renyi``,``er``,``barabasi_albert``, + ``ba``,``holme_kim``,``hk``,``watts_strogatz``,``ws``. + solver_type (str, optional): + The solver type. Support: ``gurobi``. + train_samples_num (int, optional): + The number of training samples. + val_samples_num (int, optional): + The number of validation samples. + test_samples_num (int, optional): + The number of test samples. + save_path (pathlib.Path, optional): + The save path of mc samples/datasets. + filename (str, optional): + The filename of mc samples. + graph_weighted (bool, optional): + If enabled, generate the weighted MC problem instead of MC. + er_prob (float, optional): + The probability parameter for Erdos-Renyi graph generation. + ba_conn_degree (int, optional): + The connection degree parameter for Barabasi-Albert graph generation. + hk_prob (float, optional): + The probability parameter for Hyperbolic graph generation. + hk_conn_degree (int, optional): + The connection degree parameter for Hyperbolic graph generation. + ws_prob (float, optional): + The probability parameter for Watts-Strogatz graph generation. + ws_ring_neighbors (int, optional): + The number of ring neighbors for Watts-Strogatz graph generation. + """ + # record variable data + self.num_threads = num_threads + self.nodes_num_min = nodes_num_min + self.nodes_num_max = nodes_num_max + self.data_type = data_type + self.solver = solver + self.train_samples_num = train_samples_num + self.val_samples_num = val_samples_num + self.test_samples_num = test_samples_num + self.save_path = save_path + self.filename = filename + + # args for generate + self.graph_weighted = graph_weighted + self.er_prob = er_prob + self.ba_conn_degree = ba_conn_degree + self.hk_prob = hk_prob + self.hk_conn_degree = hk_conn_degree + self.ws_prob = ws_prob + self.ws_ring_neighbors = ws_ring_neighbors + + # check the input variables + self.sample_types = ["train", "val", "test"] + self.check_num_threads() + self.check_data_type() + self.check_solver() + self.check_save_path() + self.get_filename() + + def check_num_threads(self): + self.samples_num = 0 + for sample_type in self.sample_types: + self.samples_num += getattr(self, f"{sample_type}_samples_num") + if self.samples_num % self.num_threads != 0: + message = "``samples_num`` must be divisible by the number of threads. " + raise ValueError(message) + + def check_num_threads(self): + self.samples_num = 0 + for sample_type in self.sample_types: + self.samples_num += getattr(self, f"{sample_type}_samples_num") + if self.samples_num % self.num_threads != 0: + message = "``samples_num`` must be divisible by the number of threads. " + raise ValueError(message) + + def check_data_type(self): + generate_func_dict = { + "erdos_renyi": self.generate_erdos_renyi, + "er": self.generate_erdos_renyi, + "barabasi_albert": self.generate_barabasi_albert, + "ba": self.generate_barabasi_albert, + "holme_kim": self.generate_holme_kim, + "hk": self.generate_holme_kim, + "watts_strogatz": self.generate_watts_strogatz, + "ws": self.generate_watts_strogatz, + } + supported_data_type = generate_func_dict.keys() + if self.data_type not in supported_data_type: + message = ( + f"The input data type ({self.data_type}) is not a valid type, " + f"and the generator only supports {supported_data_type}." + ) + raise ValueError(message) + self.generate_func = generate_func_dict[self.data_type] + + def check_save_path(self): + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) + for sample_type in self.sample_types: + path = os.path.join(self.save_path, sample_type) + setattr(self, f"{sample_type}_save_path", path) + if not os.path.exists(os.path.join(path, "instance")): + os.makedirs(os.path.join(path, "instance")) + if not os.path.exists(os.path.join(path, "solution")): + os.makedirs(os.path.join(path, "solution")) + + def get_filename(self): + if self.filename is None: + self.filename = ( + f"mc_{self.data_type}_{self.nodes_num_min}_{self.nodes_num_max}" + ) + self.file_save_path = os.path.join(self.save_path, self.filename + ".txt") + for sample_type in self.sample_types: + setattr( + self, + f"{sample_type}_file_save_path", + os.path.join(self.save_path, self.filename + f"_{sample_type}.txt"), + ) + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) + + def check_solver(self): + # check solver + if type(self.solver) == str: + self.solver_type = self.solver + supported_solver_dict = { + SOLVER_TYPE.GUROBI: MCGurobiSolver + } + supported_solver_type = supported_solver_dict.keys() + if self.solver not in supported_solver_type: + message = ( + f"The input solver type ({self.solver}) is not a valid type, " + f"and the generator only supports {supported_solver_type}." + ) + raise ValueError(message) + self.solver = supported_solver_dict[self.solver]() + else: + self.solver: MCSolver + self.solver_type = self.solver.solver_type + # check weighted + if self.graph_weighted != self.solver.weighted: + message = "``graph_weighted`` and ``solver.weighted`` do not match." + raise ValueError(message) + + def random_weight(self, n, mu=1, sigma=0.1): + return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) + + def generate(self): + start_time = time.time() + for _ in tqdm( + range(self.samples_num // self.num_threads), + desc=f"Solving MC Using {self.solver_type}", + ): + # call generate_func to generate the points + nx_graphs = [self.generate_func() for _ in range(self.num_threads)] + + # solve + self.solver.from_nx_graph(nx_graphs=nx_graphs) + graph_data = self.solver.solve(num_threads=self.num_threads) + + # write to txt + with open(self.file_save_path, "a+") as f: + for graph in graph_data: + graph: MCGraphData + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + # info + end_time = time.time() - start_time + print( + f"Completed generation of {self.samples_num} samples of MC." + ) + print(f"Total time: {end_time/60:.1f}m") + print(f"Average time: {end_time/self.samples_num:.1f}s") + self.devide_file() + + def devide_file(self): + with open(self.file_save_path, "r") as f: + data = f.readlines() + train_end_idx = self.train_samples_num + val_end_idx = self.train_samples_num + self.val_samples_num + train_data = data[:train_end_idx] + val_data = data[train_end_idx:val_end_idx] + test_data = data[val_end_idx:] + data = [train_data, val_data, test_data] + for sample_type, data_content in zip(self.sample_types, data): + filename = getattr(self, f"{sample_type}_file_save_path") + with open(filename, "w") as file: + file.writelines(data_content) + + def if_need_weighted(self, nx_graph: nx.Graph): + if self.graph_weighted: + weight_mapping = { + vertex: int(weight) + for vertex, weight in zip( + nx_graph.nodes, + self.random_weight( + nx_graph.number_of_nodes(), sigma=30, mu=100 + ), + ) + } + nx.set_node_attributes(nx_graph, values=weight_mapping, name="weight") + return nx_graph + + def generate_erdos_renyi(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.erdos_renyi_graph(num_nodes, self.er_prob) + return self.if_need_weighted(nx_graph) + + def generate_barabasi_albert(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.barabasi_albert_graph(num_nodes, min(self.ba_conn_degree, num_nodes)) + return self.if_need_weighted(nx_graph) + + def generate_holme_kim(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.powerlaw_cluster_graph( + num_nodes, min(self.hk_conn_degree, num_nodes), self.hk_prob + ) + return self.if_need_weighted(nx_graph) + + def generate_watts_strogatz(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.watts_strogatz_graph(num_nodes, self.ws_ring_neighbors, self.ws_prob) + return self.if_need_weighted(nx_graph) \ No newline at end of file diff --git a/ml4co_kit/generator/mcl_data.py b/ml4co_kit/generator/mcl_data.py new file mode 100644 index 0000000..16833b6 --- /dev/null +++ b/ml4co_kit/generator/mcl_data.py @@ -0,0 +1,247 @@ +import os +import time +import pickle +import pathlib +import random +import numpy as np +import networkx as nx +from tqdm import tqdm +from typing import Union +from ml4co_kit.utils.graph.mcl import MClGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.solver import MClSolver, MClGurobiSolver + + +class MClDataGenerator: + def __init__( + self, + num_threads: int = 1, + nodes_num_min: int = 700, + nodes_num_max: int = 800, + data_type: str = "er", + solver: Union[SOLVER_TYPE, MClSolver] = SOLVER_TYPE.GUROBI, + train_samples_num: int = 128000, + val_samples_num: int = 1280, + test_samples_num: int = 1280, + save_path: pathlib.Path = "data/mcl/er", + filename: str = None, + # args for generate + graph_weighted: bool = False, + er_prob: float = 0.5, + ba_conn_degree: int = 10, + hk_prob: float = 0.5, + hk_conn_degree: int = 10, + ws_prob: float = 0.5, + ws_ring_neighbors: int = 2, + ): + """ + MClDataGenerator + Args: + nodes_num_min (int, optional): + The minimum number of nodes. + nodes_num_max (int, optional): + The maximum number of nodes. + data_type (str, optional): + The data type. Support: ``erdos_renyi``,``er``,``barabasi_albert``, + ``ba``,``holme_kim``,``hk``,``watts_strogatz``,``ws``. + solver_type (str, optional): + The solver type. Support: ``gurobi``. + train_samples_num (int, optional): + The number of training samples. + val_samples_num (int, optional): + The number of validation samples. + test_samples_num (int, optional): + The number of test samples. + save_path (pathlib.Path, optional): + The save path of mcl samples/datasets. + filename (str, optional): + The filename of mcl samples. + graph_weighted (bool, optional): + If enabled, generate the weighted MCl problem instead of MCl. + er_prob (float, optional): + The probability parameter for Erdos-Renyi graph generation. + ba_conn_degree (int, optional): + The connection degree parameter for Barabasi-Albert graph generation. + hk_prob (float, optional): + The probability parameter for Hyperbolic graph generation. + hk_conn_degree (int, optional): + The connection degree parameter for Hyperbolic graph generation. + ws_prob (float, optional): + The probability parameter for Watts-Strogatz graph generation. + ws_ring_neighbors (int, optional): + The number of ring neighbors for Watts-Strogatz graph generation. + """ + # record variable data + self.num_threads = num_threads + self.nodes_num_min = nodes_num_min + self.nodes_num_max = nodes_num_max + self.data_type = data_type + self.solver = solver + self.train_samples_num = train_samples_num + self.val_samples_num = val_samples_num + self.test_samples_num = test_samples_num + self.save_path = save_path + self.filename = filename + + # args for generate + self.graph_weighted = graph_weighted + self.er_prob = er_prob + self.ba_conn_degree = ba_conn_degree + self.hk_prob = hk_prob + self.hk_conn_degree = hk_conn_degree + self.ws_prob = ws_prob + self.ws_ring_neighbors = ws_ring_neighbors + + # check the input variables + self.sample_types = ["train", "val", "test"] + self.check_num_threads() + self.check_data_type() + self.check_solver() + self.check_save_path() + self.get_filename() + + def check_num_threads(self): + self.samples_num = 0 + for sample_type in self.sample_types: + self.samples_num += getattr(self, f"{sample_type}_samples_num") + if self.samples_num % self.num_threads != 0: + message = "``samples_num`` must be divisible by the number of threads. " + raise ValueError(message) + + def check_data_type(self): + generate_func_dict = { + "erdos_renyi": self.generate_erdos_renyi, + "er": self.generate_erdos_renyi, + "barabasi_albert": self.generate_barabasi_albert, + "ba": self.generate_barabasi_albert, + "holme_kim": self.generate_holme_kim, + "hk": self.generate_holme_kim, + "watts_strogatz": self.generate_watts_strogatz, + "ws": self.generate_watts_strogatz, + } + supported_data_type = generate_func_dict.keys() + if self.data_type not in supported_data_type: + message = ( + f"The input data type ({self.data_type}) is not a valid type, " + f"and the generator only supports {supported_data_type}." + ) + raise ValueError(message) + self.generate_func = generate_func_dict[self.data_type] + + def check_save_path(self): + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) + for sample_type in self.sample_types: + path = os.path.join(self.save_path, sample_type) + setattr(self, f"{sample_type}_save_path", path) + if not os.path.exists(os.path.join(path, "instance")): + os.makedirs(os.path.join(path, "instance")) + if not os.path.exists(os.path.join(path, "solution")): + os.makedirs(os.path.join(path, "solution")) + + def get_filename(self): + if self.filename is None: + self.filename = ( + f"mcl_{self.data_type}_{self.nodes_num_min}_{self.nodes_num_max}" + ) + self.file_save_path = os.path.join(self.save_path, self.filename + ".txt") + for sample_type in self.sample_types: + setattr( + self, + f"{sample_type}_file_save_path", + os.path.join(self.save_path, self.filename + f"_{sample_type}.txt"), + ) + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) + + def check_solver(self): + # check solver + if type(self.solver) == str: + self.solver_type = self.solver + supported_solver_dict = { + SOLVER_TYPE.GUROBI: MClGurobiSolver + } + supported_solver_type = supported_solver_dict.keys() + if self.solver not in supported_solver_type: + message = ( + f"The input solver type ({self.solver}) is not a valid type, " + f"and the generator only supports {supported_solver_type}." + ) + raise ValueError(message) + self.solver = supported_solver_dict[self.solver]() + else: + self.solver: MClSolver + self.solver_type = self.solver.solver_type + # check weighted + if self.graph_weighted != self.solver.weighted: + message = "``graph_weighted`` and ``solver.weighted`` do not match." + raise ValueError(message) + + def random_weight(self, n, mu=1, sigma=0.1): + return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) + + def generate(self): + start_time = time.time() + for _ in tqdm( + range(self.samples_num // self.num_threads), + desc=f"Solving MCl Using {self.solver_type}", + ): + # call generate_func to generate the points + nx_graphs = [self.generate_func() for _ in range(self.num_threads)] + + # solve + self.solver.from_nx_graph(nx_graphs=nx_graphs) + graph_data = self.solver.solve(num_threads=self.num_threads) + + # write to txt + with open(self.file_save_path, "a+") as f: + for graph in graph_data: + graph: MClGraphData + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + # info + end_time = time.time() - start_time + print( + f"Completed generation of {self.samples_num} samples of MCl." + ) + print(f"Total time: {end_time/60:.1f}m") + print(f"Average time: {end_time/self.samples_num:.1f}s") + self.devide_file() + + def devide_file(self): + with open(self.file_save_path, "r") as f: + data = f.readlines() + train_end_idx = self.train_samples_num + val_end_idx = self.train_samples_num + self.val_samples_num + train_data = data[:train_end_idx] + val_data = data[train_end_idx:val_end_idx] + test_data = data[val_end_idx:] + data = [train_data, val_data, test_data] + for sample_type, data_content in zip(self.sample_types, data): + filename = getattr(self, f"{sample_type}_file_save_path") + with open(filename, "w") as file: + file.writelines(data_content) + + def generate_erdos_renyi(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + return nx.erdos_renyi_graph(num_nodes, self.er_prob) + + def generate_barabasi_albert(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + return nx.barabasi_albert_graph(num_nodes, min(self.ba_conn_degree, num_nodes)) + + def generate_holme_kim(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + return nx.powerlaw_cluster_graph( + num_nodes, min(self.hk_conn_degree, num_nodes), self.hk_prob + ) + + def generate_watts_strogatz(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + return nx.watts_strogatz_graph(num_nodes, self.ws_ring_neighbors, self.ws_prob) diff --git a/ml4co_kit/generator/mis_data.py b/ml4co_kit/generator/mis_data.py index 249a784..7da50b2 100644 --- a/ml4co_kit/generator/mis_data.py +++ b/ml4co_kit/generator/mis_data.py @@ -1,28 +1,32 @@ import os +import time import pickle import pathlib import random -import networkx as nx import numpy as np +import networkx as nx from tqdm import tqdm from typing import Union +from ml4co_kit.utils.graph.mis import MISGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.solver import MISSolver, KaMISSolver, MISGurobiSolver class MISDataGenerator: def __init__( self, + num_threads: int = 1, nodes_num_min: int = 700, nodes_num_max: int = 800, data_type: str = "er", - solver: Union[str, MISSolver] = "KaMIS", + solver: Union[SOLVER_TYPE, MISSolver] = SOLVER_TYPE.KAMIS, train_samples_num: int = 128000, val_samples_num: int = 1280, test_samples_num: int = 1280, save_path: pathlib.Path = "data/mis/er", filename: str = None, # args for generate - mis_weighted: bool = False, + graph_weighted: bool = False, er_prob: float = 0.5, ba_conn_degree: int = 10, hk_prob: float = 0.5, @@ -52,7 +56,7 @@ def __init__( The save path of mis samples/datasets. filename (str, optional): The filename of mis samples. - mis_weighted (bool, optional): + graph_weighted (bool, optional): If enabled, generate the weighted MIS problem instead of MIS. er_prob (float, optional): The probability parameter for Erdos-Renyi graph generation. @@ -66,10 +70,9 @@ def __init__( The probability parameter for Watts-Strogatz graph generation. ws_ring_neighbors (int, optional): The number of ring neighbors for Watts-Strogatz graph generation. - kamis_recompile (bool, optional): - Flag indicating whether to recompile the KAMIS solver. """ # record variable data + self.num_threads = num_threads self.nodes_num_min = nodes_num_min self.nodes_num_max = nodes_num_max self.data_type = data_type @@ -79,8 +82,9 @@ def __init__( self.test_samples_num = test_samples_num self.save_path = save_path self.filename = filename + # args for generate - self.mis_weighted = mis_weighted + self.graph_weighted = graph_weighted self.er_prob = er_prob self.ba_conn_degree = ba_conn_degree self.hk_prob = hk_prob @@ -90,11 +94,20 @@ def __init__( # check the input variables self.sample_types = ["train", "val", "test"] + self.check_num_threads() self.check_data_type() self.check_solver() self.check_save_path() self.get_filename() + def check_num_threads(self): + self.samples_num = 0 + for sample_type in self.sample_types: + self.samples_num += getattr(self, f"{sample_type}_samples_num") + if self.samples_num % self.num_threads != 0: + message = "``samples_num`` must be divisible by the number of threads. " + raise ValueError(message) + def check_data_type(self): generate_func_dict = { "erdos_renyi": self.generate_erdos_renyi, @@ -131,12 +144,24 @@ def get_filename(self): self.filename = ( f"mis_{self.data_type}_{self.nodes_num_min}_{self.nodes_num_max}" ) + self.file_save_path = os.path.join(self.save_path, self.filename + ".txt") + for sample_type in self.sample_types: + setattr( + self, + f"{sample_type}_file_save_path", + os.path.join(self.save_path, self.filename + f"_{sample_type}.txt"), + ) + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) def check_solver(self): # check solver if type(self.solver) == str: self.solver_type = self.solver - supported_solver_dict = {"KaMIS": KaMISSolver, "Gurobi": MISGurobiSolver} + supported_solver_dict = { + SOLVER_TYPE.KAMIS: KaMISSolver, + SOLVER_TYPE.GUROBI: MISGurobiSolver + } supported_solver_type = supported_solver_dict.keys() if self.solver not in supported_solver_type: message = ( @@ -148,62 +173,125 @@ def check_solver(self): else: self.solver: MISSolver self.solver_type = self.solver.solver_type + # check weighted - if self.mis_weighted != self.solver.weighted: - message = "``mis_weighted`` and ``solver.weighted`` do not match." + if self.graph_weighted != self.solver.weighted: + message = "``graph_weighted`` and ``solver.weighted`` do not match." raise ValueError(message) def random_weight(self, n, mu=1, sigma=0.1): return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) def generate(self): - for sample_type in self.sample_types: - samples_num = getattr(self, f"{sample_type}_samples_num") - for idx in tqdm( - range(samples_num), - desc=f"Generate MIS({self.data_type}) {sample_type}_dataset", - ): - filename = f"{self.filename}_{idx}" - graph = self.generate_func() - if self.mis_weighted: - weight_mapping = { - vertex: int(weight) - for vertex, weight in zip( - graph.nodes, - self.random_weight( - graph.number_of_nodes(), sigma=30, mu=100 - ), - ) - } - nx.set_node_attributes(graph, values=weight_mapping, name="weight") - output_file = os.path.join( - getattr(self, f"{sample_type}_save_path"), "instance", f"{filename}.gpickle" + if self.solver_type == SOLVER_TYPE.KAMIS: + # check + if self.num_threads != 1: + raise NotImplementedError( + "``KaMISSolver`` only supports single-threaded execution" ) - with open(output_file, "wb") as f: - pickle.dump(graph, f, pickle.HIGHEST_PROTOCOL) + + # generate data + for sample_type in self.sample_types: + samples_num = getattr(self, f"{sample_type}_samples_num") + for idx in tqdm( + range(samples_num), + desc=f"Generate MIS({self.data_type}) {sample_type}_dataset", + ): + filename = f"{self.filename}_{idx}" + nx_graph: nx.Graph = self.generate_func() + output_file = os.path.join( + getattr(self, f"{sample_type}_save_path"), "instance", f"{filename}.gpickle" + ) + with open(output_file, "wb") as f: + pickle.dump(nx_graph, f, pickle.HIGHEST_PROTOCOL) - def solve(self): - for sample_type in self.sample_types: - folder = getattr(self, f"{sample_type}_save_path") - self.solver.solve( - os.path.join(folder, "instance"), - os.path.join(folder, "solution") + # generate solution + for sample_type in self.sample_types: + folder = getattr(self, f"{sample_type}_save_path") + self.solver.solve( + os.path.join(folder, "instance"), + os.path.join(folder, "solution") + ) + else: + start_time = time.time() + for _ in tqdm( + range(self.samples_num // self.num_threads), + desc=f"Solving MIS Using {self.solver_type}", + ): + # call generate_func to generate the points + nx_graphs = [self.generate_func() for _ in range(self.num_threads)] + + # solve + self.solver.from_nx_graph(nx_graphs=nx_graphs) + graph_data = self.solver.solve(num_threads=self.num_threads) + + # write to txt + with open(self.file_save_path, "a+") as f: + for graph in graph_data: + graph: MISGraphData + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + # info + end_time = time.time() - start_time + print( + f"Completed generation of {self.samples_num} samples of MIS." ) + print(f"Total time: {end_time/60:.1f}m") + print(f"Average time: {end_time/self.samples_num:.1f}s") + self.devide_file() + def devide_file(self): + with open(self.file_save_path, "r") as f: + data = f.readlines() + train_end_idx = self.train_samples_num + val_end_idx = self.train_samples_num + self.val_samples_num + train_data = data[:train_end_idx] + val_data = data[train_end_idx:val_end_idx] + test_data = data[val_end_idx:] + data = [train_data, val_data, test_data] + for sample_type, data_content in zip(self.sample_types, data): + filename = getattr(self, f"{sample_type}_file_save_path") + with open(filename, "w") as file: + file.writelines(data_content) + + def if_need_weighted(self, nx_graph: nx.Graph): + if self.graph_weighted: + weight_mapping = { + vertex: int(weight) + for vertex, weight in zip( + nx_graph.nodes, + self.random_weight( + nx_graph.number_of_nodes(), sigma=30, mu=100 + ), + ) + } + nx.set_node_attributes(nx_graph, values=weight_mapping, name="weight") + return nx_graph + def generate_erdos_renyi(self) -> nx.Graph: num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) - return nx.erdos_renyi_graph(num_nodes, self.er_prob) + nx_graph = nx.erdos_renyi_graph(num_nodes, self.er_prob) + return self.if_need_weighted(nx_graph) def generate_barabasi_albert(self) -> nx.Graph: num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) - return nx.barabasi_albert_graph(num_nodes, min(self.ba_conn_degree, num_nodes)) + nx_graph = nx.barabasi_albert_graph(num_nodes, min(self.ba_conn_degree, num_nodes)) + return self.if_need_weighted(nx_graph) def generate_holme_kim(self) -> nx.Graph: num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) - return nx.powerlaw_cluster_graph( + nx_graph = nx.powerlaw_cluster_graph( num_nodes, min(self.hk_conn_degree, num_nodes), self.hk_prob ) + return self.if_need_weighted(nx_graph) def generate_watts_strogatz(self) -> nx.Graph: num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) - return nx.watts_strogatz_graph(num_nodes, self.ws_ring_neighbors, self.ws_prob) + nx_graph = nx.watts_strogatz_graph(num_nodes, self.ws_ring_neighbors, self.ws_prob) + return self.if_need_weighted(nx_graph) \ No newline at end of file diff --git a/ml4co_kit/generator/mvc_data.py b/ml4co_kit/generator/mvc_data.py new file mode 100644 index 0000000..5b8b955 --- /dev/null +++ b/ml4co_kit/generator/mvc_data.py @@ -0,0 +1,266 @@ +import os +import time +import pickle +import pathlib +import random +import numpy as np +import networkx as nx +from tqdm import tqdm +from typing import Union +from ml4co_kit.utils.graph.mvc import MVCGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.solver import MVCSolver, MVCGurobiSolver + + +class MVCDataGenerator: + def __init__( + self, + num_threads: int = 1, + nodes_num_min: int = 700, + nodes_num_max: int = 800, + data_type: str = "er", + solver: Union[SOLVER_TYPE, MVCSolver] = SOLVER_TYPE.GUROBI, + train_samples_num: int = 128000, + val_samples_num: int = 1280, + test_samples_num: int = 1280, + save_path: pathlib.Path = "data/mvc/er", + filename: str = None, + # args for generate + graph_weighted: bool = False, + er_prob: float = 0.5, + ba_conn_degree: int = 10, + hk_prob: float = 0.5, + hk_conn_degree: int = 10, + ws_prob: float = 0.5, + ws_ring_neighbors: int = 2, + ): + """ + MVCDataGenerator + Args: + nodes_num_min (int, optional): + The minimum number of nodes. + nodes_num_max (int, optional): + The maximum number of nodes. + data_type (str, optional): + The data type. Support: ``erdos_renyi``,``er``,``barabasi_albert``, + ``ba``,``holme_kim``,``hk``,``watts_strogatz``,``ws``. + solver_type (str, optional): + The solver type. Support: ``gurobi``. + train_samples_num (int, optional): + The number of training samples. + val_samples_num (int, optional): + The number of validation samples. + test_samples_num (int, optional): + The number of test samples. + save_path (pathlib.Path, optional): + The save path of mvc samples/datasets. + filename (str, optional): + The filename of mvc samples. + graph_weighted (bool, optional): + If enabled, generate the weighted MVC problem instead of MVC. + er_prob (float, optional): + The probability parameter for Erdos-Renyi graph generation. + ba_conn_degree (int, optional): + The connection degree parameter for Barabasi-Albert graph generation. + hk_prob (float, optional): + The probability parameter for Hyperbolic graph generation. + hk_conn_degree (int, optional): + The connection degree parameter for Hyperbolic graph generation. + ws_prob (float, optional): + The probability parameter for Watts-Strogatz graph generation. + ws_ring_neighbors (int, optional): + The number of ring neighbors for Watts-Strogatz graph generation. + """ + # record variable data + self.num_threads = num_threads + self.nodes_num_min = nodes_num_min + self.nodes_num_max = nodes_num_max + self.data_type = data_type + self.solver = solver + self.train_samples_num = train_samples_num + self.val_samples_num = val_samples_num + self.test_samples_num = test_samples_num + self.save_path = save_path + self.filename = filename + + # args for generate + self.graph_weighted = graph_weighted + self.er_prob = er_prob + self.ba_conn_degree = ba_conn_degree + self.hk_prob = hk_prob + self.hk_conn_degree = hk_conn_degree + self.ws_prob = ws_prob + self.ws_ring_neighbors = ws_ring_neighbors + + # check the input variables + self.sample_types = ["train", "val", "test"] + self.check_num_threads() + self.check_data_type() + self.check_solver() + self.check_save_path() + self.get_filename() + + def check_num_threads(self): + self.samples_num = 0 + for sample_type in self.sample_types: + self.samples_num += getattr(self, f"{sample_type}_samples_num") + if self.samples_num % self.num_threads != 0: + message = "``samples_num`` must be divisible by the number of threads. " + raise ValueError(message) + + def check_data_type(self): + generate_func_dict = { + "erdos_renyi": self.generate_erdos_renyi, + "er": self.generate_erdos_renyi, + "barabasi_albert": self.generate_barabasi_albert, + "ba": self.generate_barabasi_albert, + "holme_kim": self.generate_holme_kim, + "hk": self.generate_holme_kim, + "watts_strogatz": self.generate_watts_strogatz, + "ws": self.generate_watts_strogatz, + } + supported_data_type = generate_func_dict.keys() + if self.data_type not in supported_data_type: + message = ( + f"The input data type ({self.data_type}) is not a valid type, " + f"and the generator only supports {supported_data_type}." + ) + raise ValueError(message) + self.generate_func = generate_func_dict[self.data_type] + + def check_save_path(self): + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) + for sample_type in self.sample_types: + path = os.path.join(self.save_path, sample_type) + setattr(self, f"{sample_type}_save_path", path) + if not os.path.exists(os.path.join(path, "instance")): + os.makedirs(os.path.join(path, "instance")) + if not os.path.exists(os.path.join(path, "solution")): + os.makedirs(os.path.join(path, "solution")) + + def get_filename(self): + if self.filename is None: + self.filename = ( + f"mvc_{self.data_type}_{self.nodes_num_min}_{self.nodes_num_max}" + ) + self.file_save_path = os.path.join(self.save_path, self.filename + ".txt") + for sample_type in self.sample_types: + setattr( + self, + f"{sample_type}_file_save_path", + os.path.join(self.save_path, self.filename + f"_{sample_type}.txt"), + ) + if not os.path.exists(self.save_path): + os.makedirs(self.save_path) + + def check_solver(self): + # check solver + if type(self.solver) == str: + self.solver_type = self.solver + supported_solver_dict = { + SOLVER_TYPE.GUROBI: MVCGurobiSolver + } + supported_solver_type = supported_solver_dict.keys() + if self.solver not in supported_solver_type: + message = ( + f"The input solver type ({self.solver}) is not a valid type, " + f"and the generator only supports {supported_solver_type}." + ) + raise ValueError(message) + self.solver = supported_solver_dict[self.solver]() + else: + self.solver: MVCSolver + self.solver_type = self.solver.solver_type + + # check weighted + if self.graph_weighted != self.solver.weighted: + message = "``graph_weighted`` and ``solver.weighted`` do not match." + raise ValueError(message) + + def random_weight(self, n, mu=1, sigma=0.1): + return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) + + def generate(self): + start_time = time.time() + for _ in tqdm( + range(self.samples_num // self.num_threads), + desc=f"Solving MVC Using {self.solver_type}", + ): + # call generate_func to generate the points + nx_graphs = [self.generate_func() for _ in range(self.num_threads)] + + # solve + self.solver.from_nx_graph(nx_graphs=nx_graphs) + graph_data = self.solver.solve(num_threads=self.num_threads) + + # write to txt + with open(self.file_save_path, "a+") as f: + for graph in graph_data: + graph: MVCGraphData + edge_index = graph.edge_index.T + nodes_label = graph.nodes_label + f.write(" ".join(str(src) + str(" ") + str(tgt) for src, tgt in edge_index)) + f.write(str(" ") + str("label") + str(" ")) + f.write(str(" ").join(str(node_label) for node_label in nodes_label)) + f.write("\n") + f.close() + + # info + end_time = time.time() - start_time + print( + f"Completed generation of {self.samples_num} samples of MVC." + ) + print(f"Total time: {end_time/60:.1f}m") + print(f"Average time: {end_time/self.samples_num:.1f}s") + self.devide_file() + + def devide_file(self): + with open(self.file_save_path, "r") as f: + data = f.readlines() + train_end_idx = self.train_samples_num + val_end_idx = self.train_samples_num + self.val_samples_num + train_data = data[:train_end_idx] + val_data = data[train_end_idx:val_end_idx] + test_data = data[val_end_idx:] + data = [train_data, val_data, test_data] + for sample_type, data_content in zip(self.sample_types, data): + filename = getattr(self, f"{sample_type}_file_save_path") + with open(filename, "w") as file: + file.writelines(data_content) + + def if_need_weighted(self, nx_graph: nx.Graph): + if self.graph_weighted: + weight_mapping = { + vertex: int(weight) + for vertex, weight in zip( + nx_graph.nodes, + self.random_weight( + nx_graph.number_of_nodes(), sigma=30, mu=100 + ), + ) + } + nx.set_node_attributes(nx_graph, values=weight_mapping, name="weight") + return nx_graph + + def generate_erdos_renyi(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.erdos_renyi_graph(num_nodes, self.er_prob) + return self.if_need_weighted(nx_graph) + + def generate_barabasi_albert(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.barabasi_albert_graph(num_nodes, min(self.ba_conn_degree, num_nodes)) + return self.if_need_weighted(nx_graph) + + def generate_holme_kim(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.powerlaw_cluster_graph( + num_nodes, min(self.hk_conn_degree, num_nodes), self.hk_prob + ) + return self.if_need_weighted(nx_graph) + + def generate_watts_strogatz(self) -> nx.Graph: + num_nodes = random.randint(self.nodes_num_min, self.nodes_num_max) + nx_graph = nx.watts_strogatz_graph(num_nodes, self.ws_ring_neighbors, self.ws_prob) + return self.if_need_weighted(nx_graph) \ No newline at end of file diff --git a/ml4co_kit/generator/tsp_data.py b/ml4co_kit/generator/tsp_data.py index eb58df5..6ed971b 100644 --- a/ml4co_kit/generator/tsp_data.py +++ b/ml4co_kit/generator/tsp_data.py @@ -80,17 +80,21 @@ def __init__( self.test_samples_num = test_samples_num self.save_path = save_path self.filename = filename + # special for gaussian self.gaussian_mean_x = gaussian_mean_x self.gaussian_mean_y = gaussian_mean_y self.gaussian_std = gaussian_std + # special for cluster self.cluster_nums = cluster_nums self.cluster_std = cluster_std + # special for regret self.regret = regret self.regret_save_path = regret_save_path self.regret_solver = regret_solver + # check the input variables self.sample_types = ["train", "val", "test"] self.check_num_threads() @@ -159,6 +163,7 @@ def check_lkh(self): # check if lkh is downloaded if shutil.which(self.solver.lkh_path) is None: self.download_lkh() + # check again if shutil.which(self.solver.lkh_path) is None: message = ( @@ -239,21 +244,14 @@ def generate(self): range(self.samples_num // self.num_threads), desc=f"Solving TSP Using {self.solver_type}", ): - # call generate_func to generate the points + # call generate_func to generate data batch_nodes_coord = self.generate_func() # solve - if self.num_threads == 1: - tours = [self.solver.solve(batch_nodes_coord[0])] - else: - with Pool(self.num_threads) as p1: - tours = p1.map( - self.solver.solve, - [batch_nodes_coord[idx] for idx in range(self.num_threads)], - ) - p1.close() # Close the pool to indicate that no more tasks will be submitted - p1.join() # Wait for all processes in the pool to complete - + tours = self.solver.solve( + points=batch_nodes_coord, num_threads=self.num_threads + ) + # deal with regret if self.regret: if self.num_threads == 1: diff --git a/ml4co_kit/solver/__init__.py b/ml4co_kit/solver/__init__.py index ced9528..794f506 100644 --- a/ml4co_kit/solver/__init__.py +++ b/ml4co_kit/solver/__init__.py @@ -1,22 +1,27 @@ -from .tsp.base import TSPSolver -from .tsp.lkh import TSPLKHSolver -from .tsp.concorde import TSPConcordeSolver -from .tsp.concorde_large import TSPConcordeLargeSolver -from .tsp.ga_eax_normal import TSPGAEAXSolver -from .tsp.ga_eax_large import TSPGAEAXLargeSolver - -from .mis.base import MISSolver -from .mis.kamis import KaMISSolver -from .mis.gurobi import MISGurobiSolver +from .atsp.base import ATSPSolver +from .atsp.lkh import ATSPLKHSolver from .cvrp.base import CVRPSolver -from .cvrp.pyvrp import CVRPPyVRPSolver -from .cvrp.lkh import CVRPLKHSolver from .cvrp.hgs import CVRPHGSSolver +from .cvrp.lkh import CVRPLKHSolver +from .cvrp.pyvrp import CVRPPyVRPSolver -from .atsp.base import ATSPSolver -from .atsp.lkh import ATSPLKHSolver +from .mc.base import MCSolver +from .mc.gurobi import MCGurobiSolver -from .mvc.base import MVCSolver from .mcl.base import MClSolver -from .mc.base import MCSolver \ No newline at end of file +from .mcl.gurobi import MClGurobiSolver + +from .mis.base import MISSolver +from .mis.gurobi import MISGurobiSolver +from .mis.kamis import KaMISSolver + +from .mvc.base import MVCSolver +from .mvc.gurobi import MVCGurobiSolver + +from .tsp.base import TSPSolver +from .tsp.concorde import TSPConcordeSolver +from .tsp.concorde_large import TSPConcordeLargeSolver +from .tsp.ga_eax_normal import TSPGAEAXSolver +from .tsp.ga_eax_large import TSPGAEAXLargeSolver +from .tsp.lkh import TSPLKHSolver diff --git a/ml4co_kit/solver/atsp/base.py b/ml4co_kit/solver/atsp/base.py index c4ff0ba..f557373 100644 --- a/ml4co_kit/solver/atsp/base.py +++ b/ml4co_kit/solver/atsp/base.py @@ -4,9 +4,10 @@ import numpy as np from typing import Union from ml4co_kit.utils import tsplib95 -from ml4co_kit.utils.type_utils import to_numpy +from ml4co_kit.solver.base import SolverBase from ml4co_kit.evaluate.atsp.base import ATSPEvaluator -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.utils.type_utils import to_numpy, TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file if sys.version_info.major == 3 and sys.version_info.minor == 8: @@ -15,9 +16,11 @@ from ml4co_kit.utils.round import ROUND_FUNCS -class ATSPSolver(object): - def __init__(self, solver_type: str = None, scale: int = 1e6): - self.solver_type = solver_type +class ATSPSolver(SolverBase): + def __init__(self, solver_type: SOLVER_TYPE = None, scale: int = 1e6): + super(ATSPSolver, self).__init__( + task_type=TASK_TYPE.ATSP, solver_type=solver_type + ) self.scale = scale self.dists: np.ndarray = None self.ori_dists: np.ndarray= None diff --git a/ml4co_kit/solver/atsp/lkh.py b/ml4co_kit/solver/atsp/lkh.py index 3567282..7e968a8 100644 --- a/ml4co_kit/solver/atsp/lkh.py +++ b/ml4co_kit/solver/atsp/lkh.py @@ -7,7 +7,8 @@ from multiprocessing import Pool from subprocess import check_call from ml4co_kit.solver.atsp.base import ATSPSolver -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution class ATSPLKHSolver(ATSPSolver): @@ -31,7 +32,7 @@ def __init__( lkh_runs (int, optional): The number of runs for the LKH solver. Defaults to 1. """ - super(ATSPLKHSolver, self).__init__(solver_type="LKH", scale=scale) + super(ATSPLKHSolver, self).__init__(solver_type=SOLVER_TYPE.LKH, scale=scale) self.lkh_max_trials = lkh_max_trials self.lkh_path = lkh_path self.lkh_runs = lkh_runs @@ -106,14 +107,12 @@ def solve( dists_shape = self.dists.shape num_dists = dists_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_dists, "Solving ATSP Using LKH", show_time - ): + for idx in iterative_execution(range, num_dists, self.solve_msg, show_time): tours.append(self._solve(self.dists[idx])) else: batch_dists = self.dists.reshape(-1, num_threads, dists_shape[-2], dists_shape[-1]) for idx in iterative_execution( - range, num_dists // num_threads, "Solving ATSP Using LKH", show_time + range, num_dists // num_threads, self.solve_msg, show_time ): with Pool(num_threads) as p1: cur_tours = p1.map( diff --git a/ml4co_kit/solver/base.py b/ml4co_kit/solver/base.py new file mode 100644 index 0000000..08e1bdb --- /dev/null +++ b/ml4co_kit/solver/base.py @@ -0,0 +1,31 @@ +from ml4co_kit.utils.type_utils import TASK_TYPE, SOLVER_TYPE + + +class SolverBase(object): + def __init__(self, task_type: TASK_TYPE = None, solver_type: SOLVER_TYPE = None): + self.task_type = task_type + self.solver_type = solver_type + self.solve_msg = f"Solving {self.task_type} Using {self.solver_type}" + + def from_txt(self, *args, **kwargs): + raise NotImplementedError( + "The ``from_txt`` function is required to implemented in subclasses." + ) + + def to_txt(self, *args, **kwargs): + raise NotImplementedError( + "The ``to_txt`` function is required to implemented in subclasses." + ) + + def solve(self, *args, **kwargs): + raise NotImplementedError( + "The ``solve`` function is required to implemented in subclasses." + ) + + def evaluate(self, *args, **kwargs): + raise NotImplementedError( + "The ``solve`` function is required to implemented in subclasses." + ) + + def __str__(self) -> str: + return "SolverBase" \ No newline at end of file diff --git a/ml4co_kit/solver/cvrp/base.py b/ml4co_kit/solver/cvrp/base.py index 61a998d..1bc4d05 100644 --- a/ml4co_kit/solver/cvrp/base.py +++ b/ml4co_kit/solver/cvrp/base.py @@ -5,10 +5,11 @@ from typing import Union from pyvrp import Model from pyvrp import read as read_vrp -from ml4co_kit.utils.type_utils import to_numpy +from ml4co_kit.solver.base import SolverBase from ml4co_kit.evaluate.cvrp.base import CVRPEvaluator from ml4co_kit.utils.distance_utils import geographical -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.utils.type_utils import to_numpy, TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file SUPPORT_NORM_TYPE = ["EUC_2D", "GEO"] @@ -20,7 +21,7 @@ from ml4co_kit.utils.round import ROUND_FUNCS -class CVRPSolver(object): +class CVRPSolver(SolverBase): def __init__( self, solver_type: str = None, @@ -29,6 +30,9 @@ def __init__( demands_scale: int = 1e3, capacities_scale: int = 1e3, ): + super(CVRPSolver, self).__init__( + task_type=TASK_TYPE.CVRP, solver_type=solver_type + ) self.solver_type = solver_type self.depots_scale = depots_scale self.points_scale = points_scale diff --git a/ml4co_kit/solver/cvrp/hgs.py b/ml4co_kit/solver/cvrp/hgs.py index 7423bbc..dbcae0d 100644 --- a/ml4co_kit/solver/cvrp/hgs.py +++ b/ml4co_kit/solver/cvrp/hgs.py @@ -5,8 +5,9 @@ from typing import Union from multiprocessing import Pool from ml4co_kit.solver.cvrp.base import CVRPSolver +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution from ml4co_kit.solver.cvrp.c_hgs import cvrp_hgs_solver, HGS_TMP_PATH -from ml4co_kit.utils.run_utils import iterative_execution class CVRPHGSSolver(CVRPSolver): @@ -20,7 +21,7 @@ def __init__( show_info: bool = False ): super(CVRPHGSSolver, self).__init__( - solver_type="HGS", + solver_type=SOLVER_TYPE.HGS, depots_scale = depots_scale, points_scale = points_scale, demands_scale = demands_scale, @@ -95,9 +96,7 @@ def solve( p_shape = self.points.shape num_points = p_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_points, "Solving CVRP Using HGS", show_time - ): + for idx in iterative_execution(range, num_points, self.solve_msg, show_time): tours.append(self._solve( depot_coord=self.depots[idx], nodes_coord=self.points[idx], @@ -111,7 +110,7 @@ def solve( batch_capacities = self.capacities.reshape(num_tqdm, num_threads) batch_points = self.points.reshape(-1, num_threads, p_shape[-2], p_shape[-1]) for idx in iterative_execution( - range, num_points // num_threads, "Solving CVRP Using HGS", show_time + range, num_points // num_threads, self.solve_msg, show_time ): with Pool(num_threads) as p1: cur_tours = p1.starmap( diff --git a/ml4co_kit/solver/cvrp/lkh.py b/ml4co_kit/solver/cvrp/lkh.py index 80b31bb..44368e4 100644 --- a/ml4co_kit/solver/cvrp/lkh.py +++ b/ml4co_kit/solver/cvrp/lkh.py @@ -8,7 +8,8 @@ from subprocess import check_call from ml4co_kit.utils import tsplib95 from ml4co_kit.solver.cvrp.base import CVRPSolver -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution class CVRPLKHSolver(CVRPSolver): @@ -37,7 +38,7 @@ def __init__( Defaults to 1. """ super(CVRPLKHSolver, self).__init__( - solver_type="LKH", + solver_type=SOLVER_TYPE.LKH, depots_scale = depots_scale, points_scale = points_scale, demands_scale = demands_scale, diff --git a/ml4co_kit/solver/cvrp/pyvrp.py b/ml4co_kit/solver/cvrp/pyvrp.py index 32cd69b..2afce48 100644 --- a/ml4co_kit/solver/cvrp/pyvrp.py +++ b/ml4co_kit/solver/cvrp/pyvrp.py @@ -6,7 +6,8 @@ from pyvrp import Model from pyvrp.stop import MaxRuntime from ml4co_kit.solver.cvrp.base import CVRPSolver -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution if sys.version_info.major == 3 and sys.version_info.minor == 8: @@ -25,7 +26,7 @@ def __init__( time_limit: float = 1.0, ): super(CVRPPyVRPSolver, self).__init__( - solver_type="PyVRP", + solver_type=SOLVER_TYPE.PYVRP, depots_scale = depots_scale, points_scale = points_scale, demands_scale = demands_scale, diff --git a/ml4co_kit/solver/mc/base.py b/ml4co_kit/solver/mc/base.py index baab156..fc709bf 100644 --- a/ml4co_kit/solver/mc/base.py +++ b/ml4co_kit/solver/mc/base.py @@ -3,15 +3,24 @@ import numpy as np import networkx as nx from typing import List -from ml4co_kit.utils import MCGraphData -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.solver.base import SolverBase +from ml4co_kit.utils.graph.mc import MCGraphData +from ml4co_kit.utils.type_utils import TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file -class MCSolver(object): - def __init__(self, solver_type: str = None) -> None: - self.solver_type = solver_type - self.weighted = None - self.time_limit = 60.0 +class MCSolver(SolverBase): + def __init__( + self, + solver_type: SOLVER_TYPE = None, + weighted: bool = False, + time_limit: float = 60.0 + ): + super(MCSolver, self).__init__( + task_type=TASK_TYPE.MCl, solver_type=solver_type + ) + self.weighted = weighted + self.time_limit = time_limit self.graph_data: List[MCGraphData] = list() def check_edge_index_not_none(self): @@ -29,7 +38,7 @@ def check_nodes_label_not_none(self, ref: bool): msg = "ref_nodes_label" if ref else "nodes_label" message = ( f"``{msg}`` cannot be None! You can use solvers based on ``MCSolver`` " - "like ``KaMCSolver`` or use methods including ``from_graph_data``, " + "like ``MCGurobiSolver`` or use methods including ``from_graph_data``, " "``from_adj_martix``, ``from_txt``, ``from_gpickle_result`` or " "``from_gpickle_result_folder`` to obtain them." ) @@ -48,13 +57,13 @@ def set_ref_as_solution(self): for graph in self.graph_data: graph: MCGraphData graph.nodes_label = graph.ref_nodes_label - graph.sel_nodes_num = graph.ref_sel_nodes_num + graph.cut_edge_num = graph.ref_cut_edge_num def set_solution_as_ref(self): for graph in self.graph_data: graph: MCGraphData graph.ref_nodes_label = graph.nodes_label - graph.ref_sel_nodes_num = graph.sel_nodes_num + graph.ref_cut_edge_num = graph.cut_edge_num def from_gpickle_result( self, @@ -238,27 +247,6 @@ def from_txt( # update index idx += 1 - - def from_txt_only_sel_nodes_num( - self, - file_path: str, - ref: bool = False, - ): - # check the file format - if not file_path.endswith(".txt"): - raise ValueError("Invalid file format. Expected a ``.txt`` file.") - - # read the data form .txt - with open(file_path, "r") as file: - lines = file.readlines() - for idx, line in enumerate(lines): - line = line.strip() - split_line = line.split(": ") - sel_nodes_num = int(split_line[1]) - if ref: - self.graph_data[idx].ref_sel_nodes_num = sel_nodes_num - else: - self.graph_data[idx].sel_nodes_num = sel_nodes_num def from_graph_data( self, @@ -348,7 +336,13 @@ def from_adj_matrix( self.graph_data.append(graph) else: self.graph_data[idx] = graph - + + def from_nx_graph(self, nx_graphs: List[nx.Graph]): + for idx in range(len(nx_graphs)): + graph = MCGraphData() + graph.from_nx_graph(nx_graphs[idx]) + self.graph_data.append(graph) + def to_gpickle_result_folder( self, gpickle_save_dir: str = None, diff --git a/ml4co_kit/solver/mc/gurobi.py b/ml4co_kit/solver/mc/gurobi.py new file mode 100644 index 0000000..a5ae4da --- /dev/null +++ b/ml4co_kit/solver/mc/gurobi.py @@ -0,0 +1,101 @@ +import os +import numpy as np +import gurobipy as gp +from typing import List +from multiprocessing import Pool +from ml4co_kit.solver.mc.base import MCSolver +from ml4co_kit.utils.graph.mc import MCGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, Timer + + +class MCGurobiSolver(MCSolver): + def __init__( + self, licence_path: str, weighted: bool = False, time_limit: float = 60.0 + ): + super(MCGurobiSolver, self).__init__( + solver_type=SOLVER_TYPE.GUROBI, weighted=weighted, time_limit=time_limit + ) + self.licence_path = licence_path + + def solve( + self, + graph_data: List[MCGraphData] = None, + num_threads: int = 1, + show_time: bool = False + ) -> np.ndarray: + # preparation + if graph_data is not None: + self.graph_data = graph_data + timer = Timer(apply=show_time) + timer.start() + + # solve + solutions = list() + graph_num = len(self.graph_data) + if num_threads == 1: + for idx in iterative_execution(range, graph_num, self.solve_msg, show_time): + solutions.append(self._solve(idx=idx)) + else: + for idx in iterative_execution( + range, graph_num // num_threads, self.solve_msg, show_time + ): + with Pool(num_threads) as p1: + cur_sols = p1.map( + self._solve, + [ + idx * num_threads + inner_idx + for inner_idx in range(num_threads) + ], + ) + for sol in cur_sols: + solutions.append(sol) + + # restore solutions + self.from_graph_data(nodes_label=solutions, ref=False, cover=False) + + # show time + timer.end() + timer.show_time() + + return solutions + + def _solve(self, idx: int) -> np.ndarray: + # graph + mc_graph: MCGraphData = self.graph_data[idx] + + # number of graph's nodes + nodes_num = mc_graph.nodes_num + + # edge_attr + mc_graph.check_edge_attr() + + # create gurobi model + model = gp.Model(f"MC-{idx}") + model.setParam("OutputFlag", 0) + model.setParam("TimeLimit", self.time_limit) + model.setParam("Threads", 1) + + # edges + senders = mc_graph.edge_index[0] + receivers = mc_graph.edge_index[1] + edge_attr = mc_graph.edge_attr + + # Object + var_dict = model.addVars(nodes_num, vtype=gp.GRB.BINARY) + object = gp.quicksum( + (2 * var_dict[int(s)] - 1) * weight * (2 * var_dict[int(r)] - 1) / 2 + for s, r, weight in zip(senders, receivers, edge_attr) + ) + model.setObjective(object, gp.GRB.MINIMIZE) + + # Solve + model.write(f"MC-{idx}.lp") + model.optimize() + os.remove(f"MC-{idx}.lp") + + # return + return np.array([int(var_dict[key].X) for key in var_dict]) + + def __str__(self) -> str: + return "MCGurobiSolver" diff --git a/ml4co_kit/solver/mcl/base.py b/ml4co_kit/solver/mcl/base.py index 47d117f..c027fcc 100644 --- a/ml4co_kit/solver/mcl/base.py +++ b/ml4co_kit/solver/mcl/base.py @@ -3,15 +3,24 @@ import numpy as np import networkx as nx from typing import List -from ml4co_kit.utils import MClGraphData -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.solver.base import SolverBase +from ml4co_kit.utils.graph.mcl import MClGraphData +from ml4co_kit.utils.type_utils import TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file -class MClSolver(object): - def __init__(self, solver_type: str = None) -> None: - self.solver_type = solver_type - self.weighted = None - self.time_limit = 60.0 +class MClSolver(SolverBase): + def __init__( + self, + solver_type: SOLVER_TYPE = None, + weighted: bool = False, + time_limit: float = 60.0 + ): + super(MClSolver, self).__init__( + task_type=TASK_TYPE.MCl, solver_type=solver_type + ) + self.weighted = weighted + self.time_limit = time_limit self.graph_data: List[MClGraphData] = list() def check_edge_index_not_none(self): @@ -29,7 +38,7 @@ def check_nodes_label_not_none(self, ref: bool): msg = "ref_nodes_label" if ref else "nodes_label" message = ( f"``{msg}`` cannot be None! You can use solvers based on ``MClSolver`` " - "like ``KaMClSolver`` or use methods including ``from_graph_data``, " + "like ``MClGurobiSolver`` or use methods including ``from_graph_data``, " "``from_adj_martix``, ``from_txt``, ``from_gpickle_result`` or " "``from_gpickle_result_folder`` to obtain them." ) @@ -349,6 +358,12 @@ def from_adj_matrix( else: self.graph_data[idx] = graph + def from_nx_graph(self, nx_graphs: List[nx.Graph]): + for idx in range(len(nx_graphs)): + graph = MClGraphData() + graph.from_nx_graph(nx_graphs[idx]) + self.graph_data.append(graph) + def to_gpickle_result_folder( self, gpickle_save_dir: str = None, diff --git a/ml4co_kit/solver/mcl/gurobi.py b/ml4co_kit/solver/mcl/gurobi.py new file mode 100644 index 0000000..863f138 --- /dev/null +++ b/ml4co_kit/solver/mcl/gurobi.py @@ -0,0 +1,106 @@ +import os +import numpy as np +import gurobipy as gp +from typing import List +from multiprocessing import Pool +from ml4co_kit.solver.mcl.base import MClSolver +from ml4co_kit.utils.graph.mcl import MClGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, Timer + + +class MClGurobiSolver(MClSolver): + def __init__( + self, licence_path: str, weighted: bool = False, time_limit: float = 60.0 + ): + super(MClGurobiSolver, self).__init__( + solver_type=SOLVER_TYPE.GUROBI, weighted=weighted, time_limit=time_limit + ) + self.licence_path = licence_path + + def solve( + self, + graph_data: List[MClGraphData] = None, + num_threads: int = 1, + show_time: bool = False + ) -> np.ndarray: + # preparation + if graph_data is not None: + self.graph_data = graph_data + timer = Timer(apply=show_time) + timer.start() + + # solve + solutions = list() + graph_num = len(self.graph_data) + if num_threads == 1: + for idx in iterative_execution(range, graph_num, self.solve_msg, show_time): + solutions.append(self._solve(idx=idx)) + else: + for idx in iterative_execution( + range, graph_num // num_threads, self.solve_msg, show_time + ): + with Pool(num_threads) as p1: + cur_sols = p1.map( + self._solve, + [ + idx * num_threads + inner_idx + for inner_idx in range(num_threads) + ], + ) + for sol in cur_sols: + solutions.append(sol) + + # restore solutions + self.from_graph_data(nodes_label=solutions, ref=False, cover=False) + + # show time + timer.end() + timer.show_time() + + return solutions + + def _solve(self, idx: int) -> np.ndarray: + # graph + mcl_graph: MClGraphData = self.graph_data[idx] + + # number of graph's nodes + nodes_num = mcl_graph.nodes_num + + # to complement remove self loop + mcl_graph.to_complement() + mcl_graph.remove_self_loop() + + # create gurobi model + model = gp.Model(f"MCL-{idx}") + model.setParam("OutputFlag", 0) + model.setParam("TimeLimit", self.time_limit) + model.setParam("Threads", 1) + + # edge list + senders = mcl_graph.edge_index[0] + receivers = mcl_graph.edge_index[1] + edge_list = [(min([s, r]), max([s, r])) for s,r in zip(senders, receivers)] + unique_edge_List = set(edge_list) + + # Constr. + var_dict = model.addVars(nodes_num, vtype=gp.GRB.BINARY) + for (s, r) in unique_edge_List: + xs = var_dict[s] + xr = var_dict[r] + model.addConstr(xs + xr <= 1, name="e%d-%d" % (s, r)) + + # Object + object = gp.quicksum(-var_dict[int(n)] for n in range(nodes_num)) + model.setObjective(object, gp.GRB.MINIMIZE) + + # Solve + model.write(f"MCL-{idx}.lp") + model.optimize() + os.remove(f"MCL-{idx}.lp") + + # return + return np.array([int(var_dict[key].X) for key in var_dict]) + + def __str__(self) -> str: + return "MClGurobiSolver" diff --git a/ml4co_kit/solver/mis/base.py b/ml4co_kit/solver/mis/base.py index 47150e6..6cebd40 100644 --- a/ml4co_kit/solver/mis/base.py +++ b/ml4co_kit/solver/mis/base.py @@ -3,15 +3,24 @@ import numpy as np import networkx as nx from typing import List -from ml4co_kit.utils.mis_utils import MISGraphData -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.solver.base import SolverBase +from ml4co_kit.utils.graph.mis import MISGraphData +from ml4co_kit.utils.type_utils import TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file -class MISSolver(object): - def __init__(self, solver_type: str = None) -> None: - self.solver_type = solver_type - self.weighted = None - self.time_limit = 60.0 +class MISSolver(SolverBase): + def __init__( + self, + solver_type: SOLVER_TYPE = None, + weighted: bool = False, + time_limit: float = 60.0 + ): + super(MISSolver, self).__init__( + task_type=TASK_TYPE.MIS, solver_type=solver_type + ) + self.weighted = weighted + self.time_limit = time_limit self.graph_data: List[MISGraphData] = list() def check_edge_index_not_none(self): @@ -19,7 +28,7 @@ def check_edge_index_not_none(self): f"``edge_index`` cannot be None! You can load ``edge_index`` using the " "methods including ``from_graph_data``, ``from_adj_martix``, ``from_txt``, " "``from_gpickle_result`` or ``from_gpickle_result_folder`` to obtain them." - ) + ) for graph in self.graph_data: graph: MISGraphData if graph.edge_index is None: @@ -349,6 +358,12 @@ def from_adj_matrix( else: self.graph_data[idx] = graph + def from_nx_graph(self, nx_graphs: List[nx.Graph]): + for idx in range(len(nx_graphs)): + graph = MISGraphData() + graph.from_nx_graph(nx_graphs[idx]) + self.graph_data.append(graph) + def to_gpickle_result_folder( self, gpickle_save_dir: str = None, diff --git a/ml4co_kit/solver/mis/gurobi.py b/ml4co_kit/solver/mis/gurobi.py index f9bfe67..fc429e3 100644 --- a/ml4co_kit/solver/mis/gurobi.py +++ b/ml4co_kit/solver/mis/gurobi.py @@ -1,294 +1,105 @@ -import io -import re import os -import sys -import time -import json -import copy -import pathlib -import pulp as plp import numpy as np -import networkx as nx -import pandas as pd -from pathlib import Path +import gurobipy as gp +from typing import List +from multiprocessing import Pool from ml4co_kit.solver.mis.base import MISSolver +from ml4co_kit.utils.graph.mis import MISGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, Timer class MISGurobiSolver(MISSolver): def __init__( - self, - weighted: bool = False, - time_limit: float = 60.0, - num_threads: int = 8, - quadratic: bool = False, - write_mps: bool = False, - ): - """ - MISGurobi - Args: - weighted (bool, optional): - If enabled, solve the weighted MIS problem instead of MIS. - time_limit (float, optional): - Time limit in seconds. - num_threads (int, optional): - Maximum number of threads to use. - quadratic (bool, optional): - Whether a quadratic program should be used instead of a linear program - to solve the MIS problem (cannot be used together with weighted). - write_mps (bool, optional): - Instead of solving, write mps output (e.g., for tuning) - """ - super(MISGurobiSolver, self).__init__(solver_type="Gurobi") - self.weighted = weighted - self.time_limit = time_limit - self.num_threads = num_threads - self.quadratic = quadratic - self.write_mps = write_mps - self.gurobi_path = pathlib.Path(__file__).parent - - @staticmethod - def __prepare_graph(g: nx.Graph, weighted=False): - graph = copy.deepcopy(g) - graph.remove_edges_from(nx.selfloop_edges(graph)) - # the gurobi solver file always expects a weighted file - # however, for "unweighted" we supply all weights as 1 - if not weighted: - nx.set_node_attributes(graph, 1, name="weight") - return graph - - def prepare_instances( - self, instance_directory: pathlib.Path, cache_directory: pathlib.Path - ): - for graph_path in instance_directory.rglob("*.gpickle"): - self.prepare_instance(graph_path.resolve(), cache_directory) - - def prepare_instance( - self, - source_instance_file: pathlib.Path, - cache_directory: pathlib.Path, + self, licence_path: str, weighted: bool = False, time_limit: float = 60.0 ): - source_instance_file = Path(source_instance_file) - cache_directory = Path(cache_directory) - cache_directory.mkdir(parents=True, exist_ok=True) - - dest_path = cache_directory / ( - source_instance_file.stem - + f"_{'weighted' if self.weighted else 'unweighted'}.graph" + super(MISGurobiSolver, self).__init__( + solver_type=SOLVER_TYPE.GUROBI, weighted=weighted, time_limit=time_limit ) - - if os.path.exists(dest_path): - source_mtime = os.path.getmtime(source_instance_file) - last_updated = os.path.getmtime(dest_path) - if source_mtime <= last_updated: - return # we already have an up2date version of that file - - print(f"Updated graph file: {source_instance_file}.") - g = nx.read_gpickle(source_instance_file) - graph = self.__prepare_graph(g, weighted=self.weighted) - nx.write_gpickle(graph, dest_path) - - def solve(self, src: pathlib.Path, out: pathlib.Path): - print("Solving all given instances using " + str(self)) - # preprocess - src = Path(src) - out = Path(out) - cache_directory = src / "preprocessed" - self.prepare_instances(src, cache_directory) - # call gurobi - results = {} - for _, graph_path in enumerate( - cache_directory.rglob( - f"*_{'weighted' if self.weighted else 'unweighted'}.graph" - ) - ): - graph_name_stub = os.path.splitext(os.path.basename(graph_path))[0].rsplit( - "_", 1 - )[0] - print(f"Solving graph {graph_path}") - graph = nx.read_gpickle(graph_path) - if self.write_mps: - self._solve(graph, graph_name_stub, out) - else: - solu, sum, status, total_time, explore_time = self._solve( - graph, graph_name_stub, out - ) - print(f"Found MWIS: n={len(solu)}, w={sum} ✔️✔️") - if status != "Optimal": - print(f"Non-Optimal Gurobi status: {status}") - results[graph_name_stub] = { - "total_time": total_time, - "mwis_vertices": int(len(solu)), - "mwis_weight": float(sum), - "mwis": np.ravel(solu).tolist(), - "gurobi_status": status, - "gurobi_explore_time": explore_time, - } - # write the result - if not self.write_mps: - with open(out / "results.json", "w", encoding="utf-8") as f: - json.dump(results, f, ensure_ascii=False, sort_keys=True, indent=4) - print("Done with all graphs, exiting.") - - def _solve(self, graph: nx.Graph, graph_name_stub: str, out: pathlib.Path): - start_time = time.monotonic() - weight_dict = nx.get_node_attributes(graph, "weight") - # not defined whether dictionary returned by networkx is sorted - weight_list = [weight_dict[key] for key in sorted(weight_dict.keys())] - wts = np.array(weight_list) - - if not self.quadratic: - self.non_quadratic_solve( - start_time=start_time, - graph=graph, - wts=wts, - graph_name_stub=graph_name_stub, - out=out, - ) - else: - self.quadratic_solve( - start_time=start_time, - graph=graph, - wts=wts, - graph_name_stub=graph_name_stub, - out=out, - ) - - def quadratic_solve( - self, - start_time: float, - graph: nx.Graph, - wts: np.ndarray, - graph_name_stub: str, - out: pathlib.Path, - ): - import gurobipy as gp - from gurobipy import GRB - - n = graph.number_of_nodes() - adj = nx.to_numpy_array(graph) - J = np.identity(n) - A = J - adj - m = gp.Model("mis") - x = m.addMVar(shape=n, vtype=GRB.BINARY, name="x") - m.setObjective(x @ A @ x, GRB.MAXIMIZE) - m.setParam("TimeLimit", self.time_limit) - m.setParam("Threads", self.num_threads) - m.setParam("ImproveStartTime", self.time_limit * 0.9) - - if self.write_mps: - m.write(out / f"{graph_name_stub}.mps") - return - - # redirect stdout by gurobi into internal string buffer - real_stdout = sys.stdout - sys.stdout = io.StringIO() - m.optimize() - gurobi_output = sys.stdout.getvalue() - sys.stdout = real_stdout # set stdout file back to normal - print(gurobi_output) - # parse solving time from gurobi output - time_string_match = re.compile("in (\d+(\.\d*)) seconds").findall(gurobi_output)[0] - apparent_solve_time = float(time_string_match[0]) - solu = np.nonzero(np.array(x.X))[0] - - # status - status = m.status - if status == GRB.OPTIMAL: - status = "Optimal" - else: - status = str(status) - end_time = time.monotonic() - return solu, wts[solu].sum(), status, end_time - start_time, apparent_solve_time - - def non_quadratic_solve( + self.licence_path = licence_path + + def solve( self, - start_time: float, - graph: nx.Graph, - wts: np.ndarray, - graph_name_stub: str, - out: pathlib.Path, - ): - opt_model = plp.LpProblem(name="model") - adj = nx.adjacency_matrix(graph) - x_vars = { - i: plp.LpVariable(cat=plp.LpBinary, name="x_{0}".format(i)) - for i in range(wts.size) - } - # not sure why we need set here, as the call to range produces a unique list - set_V = set(range(wts.size)) - constraints = dict() - ei = 0 # number of constraints counter - - # we iterate over all nodes (could we be more explicit and use G.nodes here?) - for j in set_V: - # set N are all the vertices that j has a connection to - _, set_N = np.nonzero(adj[j]) - for i in set_N: - constraints[ei] = opt_model.addConstraint( - plp.LpConstraint( - e=plp.lpSum([x_vars[i], x_vars[j]]), - sense=plp.LpConstraintLE, - rhs=1, - # constraint that we only pick one of two neighboring nodes - name="constraint_{0}_{1}".format(j, i), - ) - ) - ei = ei + 1 - - # we want to maximize the weight - objective = plp.lpSum(x_vars[i] * wts[i] for i in set_V) - opt_model.sense = plp.LpMaximize - opt_model.setObjective(objective) - - if self.write_mps: - opt_model.writeMPS(out / (graph_name_stub + ".mps")) - return - - # redirect stdout by gurobi into internal string buffer - real_stdout = sys.stdout - sys.stdout = io.StringIO() - + graph_data: List[MISGraphData] = None, + num_threads: int = 1, + show_time: bool = False + ) -> np.ndarray: + # preparation + if graph_data is not None: + self.graph_data = graph_data + timer = Timer(apply=show_time) + timer.start() + # solve - opt_model.solve( - solver=plp.apis.GUROBI( - mip=True, - timeLimit=self.time_limit, - Threads=self.num_threads, - ImproveStartTime=self.time_limit * 0.9, - ) - ) - - gurobi_output = sys.stdout.getvalue() - sys.stdout = real_stdout # set stdout file back to normal - print(gurobi_output) - - # parse solving time from gurobi output - time_string_match = re.compile("in (\d+(\.\d*)) seconds").findall( - gurobi_output - )[0] - apparent_solve_time = float(time_string_match[0]) - - if plp.LpStatus[opt_model.status] == "Optimal": - opt_df = pd.DataFrame.from_dict( - x_vars, orient="index", columns=["variable_object"] - ) - opt_df["solution_value"] = opt_df["variable_object"].apply( - lambda item: item.varValue - ) - solu = opt_df[opt_df["solution_value"] > 0].index.to_numpy() + solutions = list() + graph_num = len(self.graph_data) + if num_threads == 1: + for idx in iterative_execution(range, graph_num, self.solve_msg, show_time): + solutions.append(self._solve(idx=idx)) else: - # Retrieve best (not optimal) solution - # GUROBI specific, seems to be a bug in PuLP where varValue is None for non-optimal solutions - solu = np.nonzero(np.array(opt_model.solverModel.X))[0] - - end_time = time.monotonic() - return ( - solu, - wts[solu].sum(), - plp.LpStatus[opt_model.status], - end_time - start_time, - apparent_solve_time, - ) - + for idx in iterative_execution( + range, graph_num // num_threads, self.solve_msg, show_time + ): + with Pool(num_threads) as p1: + cur_sols = p1.map( + self._solve, + [ + idx * num_threads + inner_idx + for inner_idx in range(num_threads) + ], + ) + for sol in cur_sols: + solutions.append(sol) + + # restore solutions + self.from_graph_data(nodes_label=solutions, ref=False, cover=False) + + # show time + timer.end() + timer.show_time() + + return self.graph_data + + def _solve(self, idx: int) -> np.ndarray: + # graph + mis_graph: MISGraphData = self.graph_data[idx] + + # number of graph's nodes + nodes_num = mis_graph.nodes_num + + # remove self loop + mis_graph.remove_self_loop() + + # create gurobi model + model = gp.Model(f"MIS-{idx}") + model.setParam("OutputFlag", 0) + model.setParam("TimeLimit", self.time_limit) + model.setParam("Threads", 1) + + # edge list + senders = mis_graph.edge_index[0] + receivers = mis_graph.edge_index[1] + edge_list = [(min([s, r]), max([s, r])) for s,r in zip(senders, receivers)] + unique_edge_List = set(edge_list) + + # Constr. + var_dict = model.addVars(nodes_num, vtype=gp.GRB.BINARY) + for (s, r) in unique_edge_List: + xs = var_dict[s] + xr = var_dict[r] + model.addConstr(xs + xr <= 1, name="e%d-%d" % (s, r)) + + # Object + object = gp.quicksum(-var_dict[int(n)] for n in range(nodes_num)) + model.setObjective(object, gp.GRB.MINIMIZE) + + # Solve + model.write(f"MIS-{idx}.lp") + model.optimize() + os.remove(f"MIS-{idx}.lp") + + # return + return np.array([int(var_dict[key].X) for key in var_dict]) + def __str__(self) -> str: return "MISGurobiSolver" diff --git a/ml4co_kit/solver/mis/kamis.py b/ml4co_kit/solver/mis/kamis.py index d630e4a..407c94d 100644 --- a/ml4co_kit/solver/mis/kamis.py +++ b/ml4co_kit/solver/mis/kamis.py @@ -2,14 +2,15 @@ import time import json import shutil +import os.path +import pathlib import subprocess import numpy as np import networkx as nx -import os.path -import pathlib from tqdm import tqdm from pathlib import Path from typing import Union +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.solver.mis.base import MISSolver @@ -27,9 +28,9 @@ def __init__( time_limit (float, optional): Time limit in seconds. """ - super(KaMISSolver, self).__init__(solver_type="KaMIS") - self.weighted = weighted - self.time_limit = time_limit + super(KaMISSolver, self).__init__( + solver_type=SOLVER_TYPE.KAMIS, weighted=weighted, time_limit=time_limit + ) self.kamis_path = pathlib.Path(__file__).parent @staticmethod @@ -112,9 +113,7 @@ def _solve(self, src: Union[str, pathlib.Path], out: Union[str, pathlib.Path]): src = Path(src) out = Path(out) files = [f for f in os.listdir(src) if f.endswith(".gpickle")] - for graph_path in tqdm( - files, desc=f"Solving all given instances using " + str(self) - ): + for graph_path in tqdm(files, desc=self.solve_msg): graph_path = graph_path.replace(".gpickle", "") if self.weighted: executable = ( diff --git a/ml4co_kit/solver/mvc/base.py b/ml4co_kit/solver/mvc/base.py index ed38fb4..4953252 100644 --- a/ml4co_kit/solver/mvc/base.py +++ b/ml4co_kit/solver/mvc/base.py @@ -4,14 +4,23 @@ import networkx as nx from typing import List from ml4co_kit.utils import MVCGraphData -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.solver.base import SolverBase +from ml4co_kit.utils.type_utils import TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file -class MVCSolver(object): - def __init__(self, solver_type: str = None) -> None: - self.solver_type = solver_type - self.weighted = None - self.time_limit = 60.0 +class MVCSolver(SolverBase): + def __init__( + self, + solver_type: SOLVER_TYPE = None, + weighted: bool = False, + time_limit: float = 60.0 + ): + super(MVCSolver, self).__init__( + task_type=TASK_TYPE.MVC, solver_type=solver_type + ) + self.weighted = weighted + self.time_limit = time_limit self.graph_data: List[MVCGraphData] = list() def check_edge_index_not_none(self): @@ -29,7 +38,7 @@ def check_nodes_label_not_none(self, ref: bool): msg = "ref_nodes_label" if ref else "nodes_label" message = ( f"``{msg}`` cannot be None! You can use solvers based on ``MVCSolver`` " - "like ``KaMVCSolver`` or use methods including ``from_graph_data``, " + "like ``MVCGurobiSolver`` or use methods including ``from_graph_data``, " "``from_adj_martix``, ``from_txt``, ``from_gpickle_result`` or " "``from_gpickle_result_folder`` to obtain them." ) @@ -349,6 +358,12 @@ def from_adj_matrix( else: self.graph_data[idx] = graph + def from_nx_graph(self, nx_graphs: List[nx.Graph]): + for idx in range(len(nx_graphs)): + graph = MVCGraphData() + graph.from_nx_graph(nx_graphs[idx]) + self.graph_data.append(graph) + def to_gpickle_result_folder( self, gpickle_save_dir: str = None, diff --git a/ml4co_kit/solver/mvc/gurobi.py b/ml4co_kit/solver/mvc/gurobi.py new file mode 100644 index 0000000..2c0fbe5 --- /dev/null +++ b/ml4co_kit/solver/mvc/gurobi.py @@ -0,0 +1,105 @@ +import os +import numpy as np +import gurobipy as gp +from typing import List +from multiprocessing import Pool +from ml4co_kit.solver.mvc.base import MVCSolver +from ml4co_kit.utils.graph.mvc import MVCGraphData +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, Timer + + +class MVCGurobiSolver(MVCSolver): + def __init__( + self, licence_path: str, weighted: bool = False, time_limit: float = 60.0 + ): + super(MVCGurobiSolver, self).__init__( + solver_type=SOLVER_TYPE.GUROBI, weighted=weighted, time_limit=time_limit + ) + self.licence_path = licence_path + + def solve( + self, + graph_data: List[MVCGraphData] = None, + num_threads: int = 1, + show_time: bool = False + ) -> np.ndarray: + # preparation + if graph_data is not None: + self.graph_data = graph_data + timer = Timer(apply=show_time) + timer.start() + + # solve + solutions = list() + graph_num = len(self.graph_data) + if num_threads == 1: + for idx in iterative_execution(range, graph_num, self.solve_msg, show_time): + solutions.append(self._solve(idx=idx)) + else: + for idx in iterative_execution( + range, graph_num // num_threads, self.solve_msg, show_time + ): + with Pool(num_threads) as p1: + cur_sols = p1.map( + self._solve, + [ + idx * num_threads + inner_idx + for inner_idx in range(num_threads) + ], + ) + for sol in cur_sols: + solutions.append(sol) + + # restore solutions + self.from_graph_data(nodes_label=solutions, ref=False, cover=False) + + # show time + timer.end() + timer.show_time() + + return solutions + + def _solve(self, idx: int) -> np.ndarray: + # graph + mvc_graph: MVCGraphData = self.graph_data[idx] + + # number of graph's nodes + nodes_num = mvc_graph.nodes_num + + # remove self loop + mvc_graph.remove_self_loop() + + # create gurobi model + model = gp.Model(f"MVC-{idx}") + model.setParam("OutputFlag", 0) + model.setParam("TimeLimit", self.time_limit) + model.setParam("Threads", 1) + + # edge list + senders = mvc_graph.edge_index[0] + receivers = mvc_graph.edge_index[1] + edge_list = [(min([s, r]), max([s, r])) for s, r in zip(senders, receivers)] + unique_edge_List = set(edge_list) + + # Constr. + var_dict = model.addVars(nodes_num, vtype=gp.GRB.BINARY) + for (s, r) in unique_edge_List: + xs = var_dict[s] + xr = var_dict[r] + model.addConstr(xs + xr >= 1, name="e%d-%d" % (s, r)) + + # Object + object = gp.quicksum(var_dict[int(n)] for n in range(nodes_num)) + model.setObjective(object, gp.GRB.MINIMIZE) + + # Solve + model.write(f"MVC-{idx}.lp") + model.optimize() + os.remove(f"MVC-{idx}.lp") + + # return + return np.array([int(var_dict[key].x) for key in var_dict]) + + def __str__(self) -> str: + return "MVCGurobiSolver" diff --git a/ml4co_kit/solver/tsp/base.py b/ml4co_kit/solver/tsp/base.py index b0d5693..1a76c51 100644 --- a/ml4co_kit/solver/tsp/base.py +++ b/ml4co_kit/solver/tsp/base.py @@ -3,9 +3,10 @@ import numpy as np from typing import Union from ml4co_kit.utils import tsplib95 -from ml4co_kit.utils.type_utils import to_numpy +from ml4co_kit.solver.base import SolverBase from ml4co_kit.evaluate.tsp.base import TSPEvaluator -from ml4co_kit.utils.run_utils import iterative_execution, iterative_execution_for_file +from ml4co_kit.utils.type_utils import to_numpy, TASK_TYPE, SOLVER_TYPE +from ml4co_kit.utils.time_utils import iterative_execution, iterative_execution_for_file SUPPORT_NORM_TYPE = ["EUC_2D", "GEO"] @@ -15,9 +16,11 @@ from ml4co_kit.utils.round import ROUND_FUNCS -class TSPSolver(object): - def __init__(self, solver_type: str = None, scale: int = 1e6): - self.solver_type = solver_type +class TSPSolver(SolverBase): + def __init__(self, solver_type: SOLVER_TYPE = None, scale: int = 1e6): + super(TSPSolver, self).__init__( + task_type=TASK_TYPE.TSP, solver_type=solver_type + ) self.scale: np.ndarray = scale self.points: np.ndarray = None self.ori_points: np.ndarray = None diff --git a/ml4co_kit/solver/tsp/concorde.py b/ml4co_kit/solver/tsp/concorde.py index c0f0df1..c015645 100644 --- a/ml4co_kit/solver/tsp/concorde.py +++ b/ml4co_kit/solver/tsp/concorde.py @@ -4,9 +4,10 @@ import numpy as np from typing import Union from multiprocessing import Pool -from ml4co_kit.solver.tsp.pyconcorde import TSPConSolver from ml4co_kit.solver.tsp.base import TSPSolver -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.type_utils import SOLVER_TYPE +from ml4co_kit.solver.tsp.pyconcorde import TSPConSolver +from ml4co_kit.utils.time_utils import iterative_execution, Timer class TSPConcordeSolver(TSPSolver): @@ -20,7 +21,9 @@ def __init__( scale (int, optional): The scale factor for coordinates in the Concorde solver. """ - super(TSPConcordeSolver, self).__init__(solver_type="Concorde", scale=scale) + super(TSPConcordeSolver, self).__init__( + solver_type=SOLVER_TYPE.CONCORDE, scale=scale + ) def _solve(self, nodes_coord: np.ndarray, name: str) -> np.ndarray: solver = TSPConSolver.from_data( @@ -43,18 +46,15 @@ def solve( ) -> np.ndarray: # preparation self.from_data(points=points, norm=norm, normalize=normalize) + timer = Timer(apply=show_time) + timer.start() - # start time - start_time = time.time() - # solve tours = list() p_shape = self.points.shape num_points = p_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_points, "Solving TSP Using Concorde", show_time - ): + for idx in iterative_execution(range, num_points, self.solve_msg, show_time): name = uuid.uuid4().hex tours.append(self._solve(self.points[idx], name)) self.clear_tmp_files(name) @@ -62,7 +62,7 @@ def solve( batch_points = self.points.reshape(-1, num_threads, p_shape[-2], p_shape[-1]) name_list = list() for idx in iterative_execution( - range, num_points // num_threads, "Solving TSP Using Concorde", show_time + range, num_points // num_threads, self.solve_msg, show_time ): for _ in range(num_threads): name_list.append(uuid.uuid4().hex) @@ -86,13 +86,14 @@ def solve( tours = np.array(tours) zeros = np.zeros((tours.shape[0], 1)) tours = np.append(tours, zeros, axis=1).astype(np.int32) - if tours.ndim == 2 and tours.shape[0] == 1: - tours = tours[0] self.from_data(tours=tours, ref=False) - end_time = time.time() - if show_time: - print(f"Use Time: {end_time - start_time}") - return tours + + # show time + timer.end() + timer.show_time() + + # return + return self.tours def clear_tmp_files(self, name): real_name = name[0:9] diff --git a/ml4co_kit/solver/tsp/concorde_large.py b/ml4co_kit/solver/tsp/concorde_large.py index 9a16eaa..a77590b 100644 --- a/ml4co_kit/solver/tsp/concorde_large.py +++ b/ml4co_kit/solver/tsp/concorde_large.py @@ -4,9 +4,10 @@ import numpy as np from typing import Union from multiprocessing import Process +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.solver.tsp.pyconcorde import TSPConSolver from ml4co_kit.solver.tsp.concorde import TSPConcordeSolver -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.time_utils import iterative_execution, Timer class TSPConcordeLargeSolver(TSPConcordeSolver): @@ -22,7 +23,7 @@ def __init__( The scale factor for coordinates in the Concorde solver. """ super(TSPConcordeLargeSolver, self).__init__(scale=scale) - self.solver_type = "Concorde-Large" + self.solver_type = SOLVER_TYPE.CONCORDE_LARGE self.time_limit = time_limit def read_from_sol(self, filename: str) -> np.ndarray: @@ -60,18 +61,15 @@ def solve( ) -> np.ndarray: # preparation self.from_data(points=points, norm=norm, normalize=normalize) - - # start time - start_time = time.time() + timer = Timer(apply=show_time) + timer.start() # solve tours = list() p_shape = self.points.shape num_points = p_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_points, "Solving TSP Using Concorde-Large", show_time - ): + for idx in iterative_execution(range, num_points, self.solve_msg, show_time): name = uuid.uuid4().hex filename = f"{name[0:9]}.sol" proc = Process(target=self._solve, args=(self.points[idx], name)) @@ -97,13 +95,14 @@ def solve( # format tours = np.array(tours) - if tours.ndim == 2 and tours.shape[0] == 1: - tours = tours[0] self.from_data(tours=tours, ref=False) - end_time = time.time() - if show_time: - print(f"Use Time: {end_time - start_time}") - return tours + + # show time + timer.end() + timer.show_time() + + # return + return self.tours def __str__(self) -> str: return "TSPConcordeLargeSolver" \ No newline at end of file diff --git a/ml4co_kit/solver/tsp/ga_eax_large.py b/ml4co_kit/solver/tsp/ga_eax_large.py index 08f02b2..3ecbe92 100644 --- a/ml4co_kit/solver/tsp/ga_eax_large.py +++ b/ml4co_kit/solver/tsp/ga_eax_large.py @@ -8,8 +8,9 @@ from ml4co_kit.solver.tsp.c_ga_eax_large import ( GA_EAX_LARGE_TMP_PATH, tsp_ga_eax_large_solve ) +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.evaluate.tsp.base import TSPEvaluator -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.time_utils import iterative_execution, Timer class TSPGAEAXLargeSolver(TSPSolver): @@ -20,7 +21,9 @@ def __init__( population_num: int = 300, offspring_num: int = 30, ): - super(TSPGAEAXLargeSolver, self).__init__(solver_type="GA-EAX-Large", scale=scale) + super(TSPGAEAXLargeSolver, self).__init__( + solver_type=SOLVER_TYPE.GA_EAX_LARGE, scale=scale + ) self.max_trials = max_trials self.population_num = population_num self.offspring_num = offspring_num @@ -86,23 +89,20 @@ def solve( ) -> np.ndarray: # preparation self.from_data(points=points, norm=norm, normalize=normalize) - - # start time - start_time = time.time() + timer = Timer(apply=show_time) + timer.start() # solve tours = list() p_shape = self.points.shape num_points = p_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_points, "Solving TSP Using GA-EAX", show_time - ): + for idx in iterative_execution(range, num_points, self.solve_msg, show_time): tours.append(self._solve(self.points[idx])) else: batch_points = self.points.reshape(-1, num_threads, p_shape[-2], p_shape[-1]) for idx in iterative_execution( - range, num_points // num_threads, "Solving TSP Using GA-EAX", show_time + range, num_points // num_threads, self.solve_msg, show_time ): with Pool(num_threads) as p1: cur_tours = p1.map( @@ -117,13 +117,14 @@ def solve( # format tours = np.array(tours) - if tours.ndim == 2 and tours.shape[0] == 1: - tours = tours[0] self.from_data(tours=tours, ref=False) - end_time = time.time() - if show_time: - print(f"Use Time: {end_time - start_time}") - return tours + + # show time + timer.end() + timer.show_time() + + # return + return self.tours def __str__(self) -> str: return "TSPGAEAXLargeSolver" \ No newline at end of file diff --git a/ml4co_kit/solver/tsp/ga_eax_normal.py b/ml4co_kit/solver/tsp/ga_eax_normal.py index 3ba4121..8e0ff9c 100644 --- a/ml4co_kit/solver/tsp/ga_eax_normal.py +++ b/ml4co_kit/solver/tsp/ga_eax_normal.py @@ -8,8 +8,9 @@ from ml4co_kit.solver.tsp.c_ga_eax_normal import ( GA_EAX_NORMAL_TMP_PATH, tsp_ga_eax_normal_solve ) +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.evaluate.tsp.base import TSPEvaluator -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.time_utils import iterative_execution, Timer class TSPGAEAXSolver(TSPSolver): @@ -20,7 +21,9 @@ def __init__( population_num: int = 100, offspring_num: int = 30, ): - super(TSPGAEAXSolver, self).__init__(solver_type="GA-EAX", scale=scale) + super(TSPGAEAXSolver, self).__init__( + solver_type=SOLVER_TYPE.GA_EAX, scale=scale + ) self.max_trials = max_trials self.population_num = population_num self.offspring_num = offspring_num @@ -86,23 +89,20 @@ def solve( ) -> np.ndarray: # preparation self.from_data(points=points, norm=norm, normalize=normalize) - - # start time - start_time = time.time() + timer = Timer(apply=show_time) + timer.start() # solve tours = list() p_shape = self.points.shape num_points = p_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_points, "Solving TSP Using GA-EAX", show_time - ): + for idx in iterative_execution(range, num_points, self.solve_msg, show_time): tours.append(self._solve(self.points[idx])) else: batch_points = self.points.reshape(-1, num_threads, p_shape[-2], p_shape[-1]) for idx in iterative_execution( - range, num_points // num_threads, "Solving TSP Using GA-EAX", show_time + range, num_points // num_threads, self.solve_msg, show_time ): with Pool(num_threads) as p1: cur_tours = p1.map( @@ -117,13 +117,14 @@ def solve( # format tours = np.array(tours) - if tours.ndim == 2 and tours.shape[0] == 1: - tours = tours[0] self.from_data(tours=tours, ref=False) - end_time = time.time() - if show_time: - print(f"Use Time: {end_time - start_time}") - return tours + + # show time + timer.end() + timer.show_time() + + # return + return self.tours def __str__(self) -> str: return "TSPGAEAXSolver" \ No newline at end of file diff --git a/ml4co_kit/solver/tsp/lkh.py b/ml4co_kit/solver/tsp/lkh.py index 66d64b8..d2366a0 100644 --- a/ml4co_kit/solver/tsp/lkh.py +++ b/ml4co_kit/solver/tsp/lkh.py @@ -5,8 +5,9 @@ from multiprocessing import Pool from ml4co_kit.utils import tsplib95 from ml4co_kit.solver.tsp.base import TSPSolver +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.solver.tsp.lkh_solver import lkh_solve -from ml4co_kit.utils.run_utils import iterative_execution +from ml4co_kit.utils.time_utils import iterative_execution, Timer class TSPLKHSolver(TSPSolver): @@ -31,7 +32,9 @@ def __init__( lkh_runs (int, optional): The number of runs for the LKH solver. Defaults to 1. """ - super(TSPLKHSolver, self).__init__(solver_type="LKH", scale=scale) + super(TSPLKHSolver, self).__init__( + solver_type=SOLVER_TYPE.LKH, scale=scale + ) self.lkh_max_trials = lkh_max_trials self.lkh_path = lkh_path self.lkh_runs = lkh_runs @@ -68,23 +71,20 @@ def solve( ) -> np.ndarray: # preparation self.from_data(points=points, norm=norm, normalize=normalize) - - # start time - start_time = time.time() + timer = Timer(apply=show_time) + timer.start() # solve tours = list() p_shape = self.points.shape num_points = p_shape[0] if num_threads == 1: - for idx in iterative_execution( - range, num_points, "Solving TSP Using LKH", show_time - ): + for idx in iterative_execution(range, num_points, self.solve_msg, show_time): tours.append(self._solve(self.points[idx])) else: batch_points = self.points.reshape(-1, num_threads, p_shape[-2], p_shape[-1]) for idx in iterative_execution( - range, num_points // num_threads, "Solving TSP Using LKH", show_time + range, num_points // num_threads, self.solve_msg, show_time ): with Pool(num_threads) as p1: cur_tours = p1.map( @@ -101,13 +101,14 @@ def solve( tours = np.array(tours) zeros = np.zeros((tours.shape[0], 1)) tours = np.append(tours, zeros, axis=1).astype(np.int32) - if tours.ndim == 2 and tours.shape[0] == 1: - tours = tours[0] self.from_data(tours=tours, ref=False) - end_time = time.time() - if show_time: - print(f"Use Time: {end_time - start_time}") - return tours + + # show time + timer.end() + timer.show_time() + + # return + return self.tours def regret_solve( self, points: np.ndarray, fixed_edges: tuple, norm: str = "EUC_2D" diff --git a/ml4co_kit/utils/__init__.py b/ml4co_kit/utils/__init__.py index 1061f5a..625ca86 100644 --- a/ml4co_kit/utils/__init__.py +++ b/ml4co_kit/utils/__init__.py @@ -1,9 +1,7 @@ from .file_utils import download, compress_folder, extract_archive, _get_md5 from .type_utils import to_numpy -from .run_utils import iterative_execution, iterative_execution_for_file -from .graph_utils import np_dense_to_sparse, np_sparse_to_dense, GraphData +from .time_utils import iterative_execution, iterative_execution_for_file +from .graph import np_dense_to_sparse, np_sparse_to_dense, GraphData +from .graph import MISGraphData, MVCGraphData, MCGraphData, MClGraphData from .distance_utils import geographical -from .mis_utils import MISGraphData, sat_to_mis_graph, cnf_to_gpickle, cnf_folder_to_gpickle_folder -from .mvc_utils import MVCGraphData -from .mcl_utils import MClGraphData -from .mc_utils import MCGraphData \ No newline at end of file +from .mis_utils import sat_to_mis_graph, cnf_to_gpickle, cnf_folder_to_gpickle_folder \ No newline at end of file diff --git a/ml4co_kit/utils/graph/__init__.py b/ml4co_kit/utils/graph/__init__.py new file mode 100644 index 0000000..eba9b2e --- /dev/null +++ b/ml4co_kit/utils/graph/__init__.py @@ -0,0 +1,5 @@ +from .base import GraphData, np_dense_to_sparse, np_sparse_to_dense +from .mc import MCGraphData +from .mcl import MClGraphData +from .mis import MISGraphData +from .mvc import MVCGraphData \ No newline at end of file diff --git a/ml4co_kit/utils/graph_utils.py b/ml4co_kit/utils/graph/base.py similarity index 52% rename from ml4co_kit/utils/graph_utils.py rename to ml4co_kit/utils/graph/base.py index 4508e84..7e71b0a 100644 --- a/ml4co_kit/utils/graph_utils.py +++ b/ml4co_kit/utils/graph/base.py @@ -1,6 +1,8 @@ import copy +import pickle import numpy as np import scipy.sparse +import networkx as nx from enum import Enum from typing import Union, Tuple @@ -48,6 +50,65 @@ def from_graph_data( if x is not None: self.nodes_num = len(x) + def from_gpickle( + self, file_path: str, self_loop: bool = True + ): + # check file format + if not file_path.endswith(".gpickle"): + raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") + + # read graph data from .gpickle + with open(file_path, "rb") as f: + graph = pickle.load(f) + graph: nx.Graph + + # use ``from_nx_graph`` + self.from_nx_graph(graph, self_loop=self_loop) + + def from_nx_graph(self, nx_graph: nx.Graph, self_loop: bool = True): + # nodes num + self.nodes_num = nx_graph.number_of_nodes() + + # edges + edges = np.array(nx_graph.edges, dtype=np.int64) + edges = np.concatenate([edges, edges[:, ::-1]], axis=0) + self.self_loop = self_loop + if self.self_loop: + self_loop: np.ndarray = np.arange(self.nodes_num) + self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) + edges = np.concatenate([self_loop, edges], axis=0) + edges = edges.T + + # use ``from_data`` + self.from_data(edge_index=edges) + + def from_result(self, file_path: str, ref: bool = False): + # check file format + if not file_path.endswith(".result"): + raise ValueError("Invalid file format. Expected a ``.result`` file.") + + # read solution from file + with open(file_path, "r") as f: + nodes_label = [int(_) for _ in f.read().splitlines()] + nodes_label = np.array(nodes_label, dtype=np.int64) + + # use ``from_data`` + self.from_data(nodes_label=nodes_label, ref=ref) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + def to_matrix(self): if self.adj_matrix is None: self.adj_matrix = np_sparse_to_dense( @@ -57,7 +118,65 @@ def to_matrix(self): ) return self.adj_matrix + def remove_self_loop(self): + """ + Removes self-loops from the edge data by filtering out edges where source and target nodes are the same. + Updates `edge_index` and `edge_attr` accordingly. + """ + if self.edge_index is not None: + mask = self.edge_index[0] != self.edge_index[1] # Mask to filter non-self-loops + self.edge_index = self.edge_index[:, mask] + if self.edge_attr is not None: + self.edge_attr = self.edge_attr[mask] + + def add_self_loop(self, loop_weight: Union[int, float] = 1): + """ + Adds self-loops to the graph, updating `edge_index` and `edge_attr` accordingly. + Args: + loop_weight (int, float): The weight to assign to each self-loop edge. + """ + if self.nodes_num is None: + raise ValueError("`nodes_num` must be defined to add self-loops.") + + self_loops = np.arange(self.nodes_num) # Diagonal edges for each node + loop_edges = np.stack((self_loops, self_loops), axis=0) + + # Append self-loops to edge_index and edge_attr + self.edge_index = ( + np.hstack((self.edge_index, loop_edges)) + if self.edge_index is not None + else loop_edges + ) + if self.edge_attr is not None: + loop_attrs = np.full((self.nodes_num,), loop_weight) + self.edge_attr = np.hstack((self.edge_attr, loop_attrs)) + else: + self.edge_attr = np.full((self.nodes_num,), loop_weight) + def to_complement(self): + """ + Converts the current graph to its complement by reversing the edge relationships + between nodes. Self-loop configurations remain unchanged. + """ + if self.adj_matrix is None: + # If no adjacency matrix is present, generate it first + self.to_matrix() + + # Generate the complement adjacency matrix by inverting 0s and 1s + complement_adj_matrix = np.logical_not(self.adj_matrix).astype(int) + + # Preserve the diagonal values for self-loops (change to 0 to remove self-loops) + np.fill_diagonal(complement_adj_matrix, self.adj_matrix.diagonal()) + + # Update the current graph data to reflect the complement graph + self.from_adj_martix(complement_adj_matrix) + + def check_edge_attr(self): + if self.edge_attr is None: + edge_nums = self.edge_index.shape[1] + self.edge_attr = np.ones(shape=(edge_nums,)) + + def np_sparse_to_dense( nodes_num: Union[int, list, tuple], edge_index: np.ndarray, diff --git a/ml4co_kit/utils/mc_utils.py b/ml4co_kit/utils/graph/mc.py similarity index 55% rename from ml4co_kit/utils/mc_utils.py rename to ml4co_kit/utils/graph/mc.py index cee85f0..1c6d787 100644 --- a/ml4co_kit/utils/mc_utils.py +++ b/ml4co_kit/utils/graph/mc.py @@ -1,75 +1,7 @@ -import os -import bz2 -import lzma -import gzip -import codecs import pickle -import itertools import numpy as np import networkx as nx -from tqdm import tqdm -from typing import Tuple -from collections import OrderedDict -from ml4co_kit.utils.graph_utils import GraphData -from .graph_utils import np_sparse_to_dense - - -class FileObject(object): - def __init__(self, name, mode="r", compression=None): - self.fp = None - self.ctype = None - self.fp_extra = None - self.open(name, mode=mode, compression=compression) - - def open(self, name, mode="r", compression=None): - if compression == "use_ext": - self.get_compression_type(name) - else: - self.ctype = compression - - if not self.ctype: - self.fp = open(name, mode) - elif self.ctype == "gzip": - self.fp = gzip.open(name, mode + "t") - elif self.ctype == "bzip2": - try: - self.fp = bz2.open(name, mode + "t") - except: - self.fp_extra = bz2.BZ2File(name, mode) - if mode == "r": - self.fp = codecs.getreader("ascii")(self.fp_extra) - else: - self.fp = codecs.getwriter("ascii")(self.fp_extra) - else: - self.fp = lzma.open(name, mode=mode + "t") - - def close(self): - if self.fp: - self.fp.close() - self.fp = None - - if self.fp_extra: - self.fp_extra.close() - self.fp_extra = None - - self.ctype = None - - def get_compression_type(self, file_name): - ext = os.path.splitext(file_name)[1] - if ext == ".gz": - self.ctype = "gzip" - elif ext == ".bz2": - self.ctype = "bzip2" - elif ext in (".xz", ".lzma"): - self.ctype = "lzma" - else: - self.ctype = None - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc_value, traceback): - self.close() +from ml4co_kit.utils.graph.base import GraphData, np_sparse_to_dense class MCGraphData(GraphData): @@ -113,47 +45,6 @@ def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): self_loop=self.self_loop ) - def from_gpickle( - self, file_path: str, self_loop: bool = True - ): - # check file format - if not file_path.endswith(".gpickle"): - raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") - - # read graph data from .gpickle - with open(file_path, "rb") as f: - graph = pickle.load(f) - graph: nx.Graph - - # nodes num - self.nodes_num = graph.number_of_nodes() - - # edges - edges = np.array(graph.edges, dtype=np.int64) - edges = np.concatenate([edges, edges[:, ::-1]], axis=0) - self.self_loop = self_loop - if self.self_loop: - self_loop: np.ndarray = np.arange(self.nodes_num) - self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) - edges = np.concatenate([self_loop, edges], axis=0) - edges = edges.T - - # use ``from_data`` - self.from_data(edge_index=edges) - - def from_result(self, file_path: str, ref: bool = False): - # check file format - if not file_path.endswith(".result"): - raise ValueError("Invalid file format. Expected a ``.result`` file.") - - # read solution from file - with open(file_path, "r") as f: - nodes_label = [int(_) for _ in f.read().splitlines()] - nodes_label = np.array(nodes_label, dtype=np.int64) - - # use ``from_data`` - self.from_data(nodes_label=nodes_label, ref=ref) - def from_data( self, edge_index: np.ndarray = None, diff --git a/ml4co_kit/utils/graph/mcl.py b/ml4co_kit/utils/graph/mcl.py new file mode 100644 index 0000000..326bc37 --- /dev/null +++ b/ml4co_kit/utils/graph/mcl.py @@ -0,0 +1,86 @@ +import pickle +import numpy as np +import networkx as nx +from ml4co_kit.utils.graph.base import GraphData + + +class MClGraphData(GraphData): + def __init__(self): + super(MClGraphData, self).__init__() + self.nodes_label: np.ndarray = None + self.ref_nodes_label: np.ndarray = None + self.sel_nodes_num: np.ndarray = None + self.ref_sel_nodes_num: np.ndarray = None + self.self_loop = None + + def check_edge_index(self): + if self.edge_index is not None: + shape = self.edge_index.shape + if len(shape) != 2 or shape[0] != 2: + raise ValueError("The shape of ``edge_index`` must be like (2, E)") + + def check_nodes_label(self, ref: bool): + nodes_label = self.ref_nodes_label if ref else self.nodes_label + name = "ref_nodes_label" if ref else "nodes_label" + if nodes_label is not None: + if nodes_label.ndim != 1: + raise ValueError(f"The dimensions of ``{name}`` must be 1.") + + if self.nodes_num is not None: + if len(self.nodes_label) != self.nodes_num: + message = ( + f"The number of nodes in the {name} does not match that of " + "the problem. Please check the solution." + ) + raise ValueError(message) + else: + self.nodes_num = len(nodes_label) + + def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop + return super().from_adj_martix( + adj_matrix=adj_matrix, + zero_or_one="one", + type="zero-one", + self_loop=self.self_loop + ) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + self.check_edge_index() + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + self.check_nodes_label(ref=ref) + + def evaluate(self, calculate_gap: bool = False): + # solved solution + if self.sel_nodes_num is None: + if self.nodes_label is None: + raise ValueError( + "``sel_nodes_num`` cannot be None! You can use solvers based on " + "``MClSolver``like ``KaMIS`` to get the ``sel_nodes_num``." + ) + self.sel_nodes_num = np.sum(self.nodes_label) + + # ground truth + if calculate_gap: + if self.ref_sel_nodes_num is None: + if self.ref_nodes_label is None: + raise ValueError( + "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " + "``MClSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." + ) + self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) + gap = - (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num + return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) + else: + return self.sel_nodes_num \ No newline at end of file diff --git a/ml4co_kit/utils/graph/mis.py b/ml4co_kit/utils/graph/mis.py new file mode 100644 index 0000000..386efe2 --- /dev/null +++ b/ml4co_kit/utils/graph/mis.py @@ -0,0 +1,86 @@ +import pickle +import numpy as np +import networkx as nx +from ml4co_kit.utils.graph.base import GraphData + + +class MISGraphData(GraphData): + def __init__(self): + super(MISGraphData, self).__init__() + self.nodes_label: np.ndarray = None + self.ref_nodes_label: np.ndarray = None + self.sel_nodes_num: np.ndarray = None + self.ref_sel_nodes_num: np.ndarray = None + self.self_loop = None + + def check_edge_index(self): + if self.edge_index is not None: + shape = self.edge_index.shape + if len(shape) != 2 or shape[0] != 2: + raise ValueError("The shape of ``edge_index`` must be like (2, E)") + + def check_nodes_label(self, ref: bool): + nodes_label = self.ref_nodes_label if ref else self.nodes_label + name = "ref_nodes_label" if ref else "nodes_label" + if nodes_label is not None: + if nodes_label.ndim != 1: + raise ValueError(f"The dimensions of ``{name}`` must be 1.") + + if self.nodes_num is not None: + if len(self.nodes_label) != self.nodes_num: + message = ( + f"The number of nodes in the {name} does not match that of " + "the problem. Please check the solution." + ) + raise ValueError(message) + else: + self.nodes_num = len(nodes_label) + + def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop + return super().from_adj_martix( + adj_matrix=adj_matrix, + zero_or_one="one", + type="zero-one", + self_loop=self.self_loop + ) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + self.check_edge_index() + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + self.check_nodes_label(ref=ref) + + def evaluate(self, calculate_gap: bool = False): + # solved solution + if self.sel_nodes_num is None: + if self.nodes_label is None: + raise ValueError( + "``sel_nodes_num`` cannot be None! You can use solvers based on " + "``MISSolver``like ``KaMIS`` to get the ``sel_nodes_num``." + ) + self.sel_nodes_num = np.sum(self.nodes_label) + + # ground truth + if calculate_gap: + if self.ref_sel_nodes_num is None: + if self.ref_nodes_label is None: + raise ValueError( + "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " + "``MISSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." + ) + self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) + gap = - (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num + return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) + else: + return self.sel_nodes_num \ No newline at end of file diff --git a/ml4co_kit/utils/graph/mvc.py b/ml4co_kit/utils/graph/mvc.py new file mode 100644 index 0000000..e26f28c --- /dev/null +++ b/ml4co_kit/utils/graph/mvc.py @@ -0,0 +1,86 @@ +import pickle +import numpy as np +import networkx as nx +from ml4co_kit.utils.graph.base import GraphData + + +class MVCGraphData(GraphData): + def __init__(self): + super(MVCGraphData, self).__init__() + self.nodes_label: np.ndarray = None + self.ref_nodes_label: np.ndarray = None + self.sel_nodes_num: np.ndarray = None + self.ref_sel_nodes_num: np.ndarray = None + self.self_loop = None + + def check_edge_index(self): + if self.edge_index is not None: + shape = self.edge_index.shape + if len(shape) != 2 or shape[0] != 2: + raise ValueError("The shape of ``edge_index`` must be like (2, E)") + + def check_nodes_label(self, ref: bool): + nodes_label = self.ref_nodes_label if ref else self.nodes_label + name = "ref_nodes_label" if ref else "nodes_label" + if nodes_label is not None: + if nodes_label.ndim != 1: + raise ValueError(f"The dimensions of ``{name}`` must be 1.") + + if self.nodes_num is not None: + if len(self.nodes_label) != self.nodes_num: + message = ( + f"The number of nodes in the {name} does not match that of " + "the problem. Please check the solution." + ) + raise ValueError(message) + else: + self.nodes_num = len(nodes_label) + + def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): + self.self_loop = self_loop + return super().from_adj_martix( + adj_matrix=adj_matrix, + zero_or_one="one", + type="zero-one", + self_loop=self.self_loop + ) + + def from_data( + self, + edge_index: np.ndarray = None, + nodes_label: np.ndarray = None, + ref: bool = False + ): + if edge_index is not None: + self.edge_index = edge_index + self.check_edge_index() + if nodes_label is not None: + if ref: + self.ref_nodes_label = nodes_label + else: + self.nodes_label = nodes_label + self.check_nodes_label(ref=ref) + + def evaluate(self, calculate_gap: bool = False): + # solved solution + if self.sel_nodes_num is None: + if self.nodes_label is None: + raise ValueError( + "``sel_nodes_num`` cannot be None! You can use solvers based on " + "``MVCSolver``like ``KaMIS`` to get the ``sel_nodes_num``." + ) + self.sel_nodes_num = np.sum(self.nodes_label) + + # ground truth + if calculate_gap: + if self.ref_sel_nodes_num is None: + if self.ref_nodes_label is None: + raise ValueError( + "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " + "``MVCSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." + ) + self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) + gap = (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num + return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) + else: + return self.sel_nodes_num \ No newline at end of file diff --git a/ml4co_kit/utils/mcl_utils.py b/ml4co_kit/utils/mcl_utils.py deleted file mode 100644 index d2e8905..0000000 --- a/ml4co_kit/utils/mcl_utils.py +++ /dev/null @@ -1,194 +0,0 @@ -import os -import bz2 -import lzma -import gzip -import codecs -import pickle -import itertools -import numpy as np -import networkx as nx -from tqdm import tqdm -from typing import Tuple -from collections import OrderedDict -from ml4co_kit.utils.graph_utils import GraphData - - -class FileObject(object): - def __init__(self, name, mode="r", compression=None): - self.fp = None - self.ctype = None - self.fp_extra = None - self.open(name, mode=mode, compression=compression) - - def open(self, name, mode="r", compression=None): - if compression == "use_ext": - self.get_compression_type(name) - else: - self.ctype = compression - - if not self.ctype: - self.fp = open(name, mode) - elif self.ctype == "gzip": - self.fp = gzip.open(name, mode + "t") - elif self.ctype == "bzip2": - try: - self.fp = bz2.open(name, mode + "t") - except: - self.fp_extra = bz2.BZ2File(name, mode) - if mode == "r": - self.fp = codecs.getreader("ascii")(self.fp_extra) - else: - self.fp = codecs.getwriter("ascii")(self.fp_extra) - else: - self.fp = lzma.open(name, mode=mode + "t") - - def close(self): - if self.fp: - self.fp.close() - self.fp = None - - if self.fp_extra: - self.fp_extra.close() - self.fp_extra = None - - self.ctype = None - - def get_compression_type(self, file_name): - ext = os.path.splitext(file_name)[1] - if ext == ".gz": - self.ctype = "gzip" - elif ext == ".bz2": - self.ctype = "bzip2" - elif ext in (".xz", ".lzma"): - self.ctype = "lzma" - else: - self.ctype = None - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc_value, traceback): - self.close() - - -class MClGraphData(GraphData): - def __init__(self): - super(MClGraphData, self).__init__() - self.nodes_label: np.ndarray = None - self.ref_nodes_label: np.ndarray = None - self.sel_nodes_num: np.ndarray = None - self.ref_sel_nodes_num: np.ndarray = None - self.self_loop = None - - def check_edge_index(self): - if self.edge_index is not None: - shape = self.edge_index.shape - if len(shape) != 2 or shape[0] != 2: - raise ValueError("The shape of ``edge_index`` must be like (2, E)") - - def check_nodes_label(self, ref: bool): - nodes_label = self.ref_nodes_label if ref else self.nodes_label - name = "ref_nodes_label" if ref else "nodes_label" - if nodes_label is not None: - if nodes_label.ndim != 1: - raise ValueError(f"The dimensions of ``{name}`` must be 1.") - - if self.nodes_num is not None: - if len(self.nodes_label) != self.nodes_num: - message = ( - f"The number of nodes in the {name} does not match that of " - "the problem. Please check the solution." - ) - raise ValueError(message) - else: - self.nodes_num = len(nodes_label) - - def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): - self.self_loop = self_loop - return super().from_adj_martix( - adj_matrix=adj_matrix, - zero_or_one="one", - type="zero-one", - self_loop=self.self_loop - ) - - def from_gpickle( - self, file_path: str, self_loop: bool = True - ): - # check file format - if not file_path.endswith(".gpickle"): - raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") - - # read graph data from .gpickle - with open(file_path, "rb") as f: - graph = pickle.load(f) - graph: nx.Graph - - # nodes num - self.nodes_num = graph.number_of_nodes() - - # edges - edges = np.array(graph.edges, dtype=np.int64) - edges = np.concatenate([edges, edges[:, ::-1]], axis=0) - self.self_loop = self_loop - if self.self_loop: - self_loop: np.ndarray = np.arange(self.nodes_num) - self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) - edges = np.concatenate([self_loop, edges], axis=0) - edges = edges.T - - # use ``from_data`` - self.from_data(edge_index=edges) - - def from_result(self, file_path: str, ref: bool = False): - # check file format - if not file_path.endswith(".result"): - raise ValueError("Invalid file format. Expected a ``.result`` file.") - - # read solution from file - with open(file_path, "r") as f: - nodes_label = [int(_) for _ in f.read().splitlines()] - nodes_label = np.array(nodes_label, dtype=np.int64) - - # use ``from_data`` - self.from_data(nodes_label=nodes_label, ref=ref) - - def from_data( - self, - edge_index: np.ndarray = None, - nodes_label: np.ndarray = None, - ref: bool = False - ): - if edge_index is not None: - self.edge_index = edge_index - self.check_edge_index() - if nodes_label is not None: - if ref: - self.ref_nodes_label = nodes_label - else: - self.nodes_label = nodes_label - self.check_nodes_label(ref=ref) - - def evaluate(self, calculate_gap: bool = False): - # solved solution - if self.sel_nodes_num is None: - if self.nodes_label is None: - raise ValueError( - "``sel_nodes_num`` cannot be None! You can use solvers based on " - "``MClSolver``like ``KaMIS`` to get the ``sel_nodes_num``." - ) - self.sel_nodes_num = np.sum(self.nodes_label) - - # ground truth - if calculate_gap: - if self.ref_sel_nodes_num is None: - if self.ref_nodes_label is None: - raise ValueError( - "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " - "``MClSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." - ) - self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) - gap = - (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num - return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) - else: - return self.sel_nodes_num \ No newline at end of file diff --git a/ml4co_kit/utils/mis_utils.py b/ml4co_kit/utils/mis_utils.py index 16acea7..3e7e282 100644 --- a/ml4co_kit/utils/mis_utils.py +++ b/ml4co_kit/utils/mis_utils.py @@ -10,7 +10,6 @@ from tqdm import tqdm from typing import Tuple from collections import OrderedDict -from ml4co_kit.utils.graph_utils import GraphData class FileObject(object): @@ -187,127 +186,4 @@ def cnf_folder_to_gpickle_folder(cnf_folder: str, gpickle_foler: str): ref_save_path = os.path.join(gpickle_foler, "ref_solution.txt") with open(ref_save_path, 'w') as ref_file: for gpickle_file, clauses_num in ref_dict.items(): - ref_file.write(f"{gpickle_file}: {clauses_num}\n") - - -class MISGraphData(GraphData): - def __init__(self): - super(MISGraphData, self).__init__() - self.nodes_label: np.ndarray = None - self.ref_nodes_label: np.ndarray = None - self.sel_nodes_num: np.ndarray = None - self.ref_sel_nodes_num: np.ndarray = None - self.self_loop = None - - def check_edge_index(self): - if self.edge_index is not None: - shape = self.edge_index.shape - if len(shape) != 2 or shape[0] != 2: - raise ValueError("The shape of ``edge_index`` must be like (2, E)") - - def check_nodes_label(self, ref: bool): - nodes_label = self.ref_nodes_label if ref else self.nodes_label - name = "ref_nodes_label" if ref else "nodes_label" - if nodes_label is not None: - if nodes_label.ndim != 1: - raise ValueError(f"The dimensions of ``{name}`` must be 1.") - - if self.nodes_num is not None: - if len(self.nodes_label) != self.nodes_num: - message = ( - f"The number of nodes in the {name} does not match that of " - "the problem. Please check the solution." - ) - raise ValueError(message) - else: - self.nodes_num = len(nodes_label) - - def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): - self.self_loop = self_loop - return super().from_adj_martix( - adj_matrix=adj_matrix, - zero_or_one="one", - type="zero-one", - self_loop=self.self_loop - ) - - def from_gpickle( - self, file_path: str, self_loop: bool = True - ): - # check file format - if not file_path.endswith(".gpickle"): - raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") - - # read graph data from .gpickle - with open(file_path, "rb") as f: - graph = pickle.load(f) - graph: nx.Graph - - # nodes num - self.nodes_num = graph.number_of_nodes() - - # edges - edges = np.array(graph.edges, dtype=np.int64) - edges = np.concatenate([edges, edges[:, ::-1]], axis=0) - self.self_loop = self_loop - if self.self_loop: - self_loop: np.ndarray = np.arange(self.nodes_num) - self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) - edges = np.concatenate([self_loop, edges], axis=0) - edges = edges.T - - # use ``from_data`` - self.from_data(edge_index=edges) - - def from_result(self, file_path: str, ref: bool = False): - # check file format - if not file_path.endswith(".result"): - raise ValueError("Invalid file format. Expected a ``.result`` file.") - - # read solution from file - with open(file_path, "r") as f: - nodes_label = [int(_) for _ in f.read().splitlines()] - nodes_label = np.array(nodes_label, dtype=np.int64) - - # use ``from_data`` - self.from_data(nodes_label=nodes_label, ref=ref) - - def from_data( - self, - edge_index: np.ndarray = None, - nodes_label: np.ndarray = None, - ref: bool = False - ): - if edge_index is not None: - self.edge_index = edge_index - self.check_edge_index() - if nodes_label is not None: - if ref: - self.ref_nodes_label = nodes_label - else: - self.nodes_label = nodes_label - self.check_nodes_label(ref=ref) - - def evaluate(self, calculate_gap: bool = False): - # solved solution - if self.sel_nodes_num is None: - if self.nodes_label is None: - raise ValueError( - "``sel_nodes_num`` cannot be None! You can use solvers based on " - "``MISSolver``like ``KaMIS`` to get the ``sel_nodes_num``." - ) - self.sel_nodes_num = np.sum(self.nodes_label) - - # ground truth - if calculate_gap: - if self.ref_sel_nodes_num is None: - if self.ref_nodes_label is None: - raise ValueError( - "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " - "``MISSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." - ) - self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) - gap = - (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num - return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) - else: - return self.sel_nodes_num \ No newline at end of file + ref_file.write(f"{gpickle_file}: {clauses_num}\n") \ No newline at end of file diff --git a/ml4co_kit/utils/mvc_utils.py b/ml4co_kit/utils/mvc_utils.py deleted file mode 100644 index bb17b58..0000000 --- a/ml4co_kit/utils/mvc_utils.py +++ /dev/null @@ -1,194 +0,0 @@ -import os -import bz2 -import lzma -import gzip -import codecs -import pickle -import itertools -import numpy as np -import networkx as nx -from tqdm import tqdm -from typing import Tuple -from collections import OrderedDict -from ml4co_kit.utils.graph_utils import GraphData - - -class FileObject(object): - def __init__(self, name, mode="r", compression=None): - self.fp = None - self.ctype = None - self.fp_extra = None - self.open(name, mode=mode, compression=compression) - - def open(self, name, mode="r", compression=None): - if compression == "use_ext": - self.get_compression_type(name) - else: - self.ctype = compression - - if not self.ctype: - self.fp = open(name, mode) - elif self.ctype == "gzip": - self.fp = gzip.open(name, mode + "t") - elif self.ctype == "bzip2": - try: - self.fp = bz2.open(name, mode + "t") - except: - self.fp_extra = bz2.BZ2File(name, mode) - if mode == "r": - self.fp = codecs.getreader("ascii")(self.fp_extra) - else: - self.fp = codecs.getwriter("ascii")(self.fp_extra) - else: - self.fp = lzma.open(name, mode=mode + "t") - - def close(self): - if self.fp: - self.fp.close() - self.fp = None - - if self.fp_extra: - self.fp_extra.close() - self.fp_extra = None - - self.ctype = None - - def get_compression_type(self, file_name): - ext = os.path.splitext(file_name)[1] - if ext == ".gz": - self.ctype = "gzip" - elif ext == ".bz2": - self.ctype = "bzip2" - elif ext in (".xz", ".lzma"): - self.ctype = "lzma" - else: - self.ctype = None - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc_value, traceback): - self.close() - - -class MVCGraphData(GraphData): - def __init__(self): - super(MVCGraphData, self).__init__() - self.nodes_label: np.ndarray = None - self.ref_nodes_label: np.ndarray = None - self.sel_nodes_num: np.ndarray = None - self.ref_sel_nodes_num: np.ndarray = None - self.self_loop = None - - def check_edge_index(self): - if self.edge_index is not None: - shape = self.edge_index.shape - if len(shape) != 2 or shape[0] != 2: - raise ValueError("The shape of ``edge_index`` must be like (2, E)") - - def check_nodes_label(self, ref: bool): - nodes_label = self.ref_nodes_label if ref else self.nodes_label - name = "ref_nodes_label" if ref else "nodes_label" - if nodes_label is not None: - if nodes_label.ndim != 1: - raise ValueError(f"The dimensions of ``{name}`` must be 1.") - - if self.nodes_num is not None: - if len(self.nodes_label) != self.nodes_num: - message = ( - f"The number of nodes in the {name} does not match that of " - "the problem. Please check the solution." - ) - raise ValueError(message) - else: - self.nodes_num = len(nodes_label) - - def from_adj_martix(self, adj_matrix: np.ndarray, self_loop: bool = True): - self.self_loop = self_loop - return super().from_adj_martix( - adj_matrix=adj_matrix, - zero_or_one="one", - type="zero-one", - self_loop=self.self_loop - ) - - def from_gpickle( - self, file_path: str, self_loop: bool = True - ): - # check file format - if not file_path.endswith(".gpickle"): - raise ValueError("Invalid file format. Expected a ``.gpickle`` file.") - - # read graph data from .gpickle - with open(file_path, "rb") as f: - graph = pickle.load(f) - graph: nx.Graph - - # nodes num - self.nodes_num = graph.number_of_nodes() - - # edges - edges = np.array(graph.edges, dtype=np.int64) - edges = np.concatenate([edges, edges[:, ::-1]], axis=0) - self.self_loop = self_loop - if self.self_loop: - self_loop: np.ndarray = np.arange(self.nodes_num) - self_loop = self_loop.reshape(-1, 1).repeat(2, axis=1) - edges = np.concatenate([self_loop, edges], axis=0) - edges = edges.T - - # use ``from_data`` - self.from_data(edge_index=edges) - - def from_result(self, file_path: str, ref: bool = False): - # check file format - if not file_path.endswith(".result"): - raise ValueError("Invalid file format. Expected a ``.result`` file.") - - # read solution from file - with open(file_path, "r") as f: - nodes_label = [int(_) for _ in f.read().splitlines()] - nodes_label = np.array(nodes_label, dtype=np.int64) - - # use ``from_data`` - self.from_data(nodes_label=nodes_label, ref=ref) - - def from_data( - self, - edge_index: np.ndarray = None, - nodes_label: np.ndarray = None, - ref: bool = False - ): - if edge_index is not None: - self.edge_index = edge_index - self.check_edge_index() - if nodes_label is not None: - if ref: - self.ref_nodes_label = nodes_label - else: - self.nodes_label = nodes_label - self.check_nodes_label(ref=ref) - - def evaluate(self, calculate_gap: bool = False): - # solved solution - if self.sel_nodes_num is None: - if self.nodes_label is None: - raise ValueError( - "``sel_nodes_num`` cannot be None! You can use solvers based on " - "``MVCSolver``like ``KaMIS`` to get the ``sel_nodes_num``." - ) - self.sel_nodes_num = np.sum(self.nodes_label) - - # ground truth - if calculate_gap: - if self.ref_sel_nodes_num is None: - if self.ref_nodes_label is None: - raise ValueError( - "``ref_sel_nodes_num`` cannot be None! You can use solvers based on " - "``MVCSolver``like ``KaMIS`` to get the ``ref_sel_nodes_num``." - ) - self.ref_sel_nodes_num = np.sum(self.ref_nodes_label) - gap = (self.sel_nodes_num - self.ref_sel_nodes_num) / self.ref_sel_nodes_num - return (self.sel_nodes_num, self.ref_sel_nodes_num, gap) - else: - return self.sel_nodes_num \ No newline at end of file diff --git a/ml4co_kit/utils/run_utils.py b/ml4co_kit/utils/time_utils.py similarity index 50% rename from ml4co_kit/utils/run_utils.py rename to ml4co_kit/utils/time_utils.py index 708a546..39dc366 100644 --- a/ml4co_kit/utils/run_utils.py +++ b/ml4co_kit/utils/time_utils.py @@ -1,3 +1,4 @@ +import time from tqdm import tqdm from typing import Callable, Iterable, TypeVar @@ -25,4 +26,25 @@ def iterative_execution_for_file( if show_time: return tqdm(iterable, desc=desc) else: - return iterable \ No newline at end of file + return iterable + + +class Timer(object): + def __init__(self, apply: bool = True): + self.apply = apply + self.start_time = None + self.end_time = None + self.use_time = None + + def start(self): + if self.apply: + self.start_time = time.time() + + def end(self): + if self.apply: + self.end_time = time.time() + self.use_time = self.end_time - self.start_time + + def show_time(self): + if self.apply: + print(f"Using Time: {self.use_time}") \ No newline at end of file diff --git a/ml4co_kit/utils/type_utils.py b/ml4co_kit/utils/type_utils.py index dfddaf6..c742a4b 100644 --- a/ml4co_kit/utils/type_utils.py +++ b/ml4co_kit/utils/type_utils.py @@ -1,4 +1,5 @@ import numpy as np +from enum import Enum from typing import Union @@ -8,4 +9,41 @@ def to_numpy(x: Union[np.ndarray, list]): elif type(x) == np.ndarray: return x else: - raise NotImplementedError() \ No newline at end of file + raise NotImplementedError() + + +class TASK_TYPE(str, Enum): + ATSP = "Asymmetric Traveling Salesman Problem (ATSP)" + CVRP = "Capacitated Vehicle Routing Problem (CVRP)" + MC = "Maximum Cut (MC)" + MCl = "Maximum Clique (MCL)" + MIS = "Maximum Independent Set (MIS)" + MVC = "Minimum Vertex Cover (MVC)" + TSP = "Traveling Salesman Problem (TSP)" + + +class SOLVER_TYPE(str, Enum): + CONCORDE = "PyConcorde" # Support TSP + CONCORDE_LARGE = "PyConcorde(Large)" # Support TSP + GA_EAX = "GA-EAX" # Support TSP + GA_EAX_LARGE = "GA-EAX(Large)" # Support TSP + GUROBI = "Gurobi" # Support for MIS, MVC, MC, MCL + HGS = "HGS" # Support CVRP + KAMIS = "KaMIS" # Support MIS + LKH = "LKH" # Support for TSP, ATSP, CVRP + PYVRP = "PyVRP" # Support CVRP + + +TASK_SUPPORT_SOLVER = { + TASK_TYPE.ATSP: [SOLVER_TYPE.LKH], + TASK_TYPE.TSP: [ + SOLVER_TYPE.CONCORDE, SOLVER_TYPE.CONCORDE_LARGE, SOLVER_TYPE.GA_EAX, + SOLVER_TYPE.GA_EAX_LARGE, SOLVER_TYPE.LKH + ], + TASK_TYPE.CVRP: [SOLVER_TYPE.HGS, SOLVER_TYPE.LKH, SOLVER_TYPE.PYVRP], + TASK_TYPE.MC: [SOLVER_TYPE.GUROBI], + TASK_TYPE.MCl: [SOLVER_TYPE.GUROBI], + TASK_TYPE.MIS: [SOLVER_TYPE.GUROBI, SOLVER_TYPE.KAMIS], + TASK_TYPE.MVC: [SOLVER_TYPE.GUROBI], +} + \ No newline at end of file diff --git a/tests/data_for_tests/solver/mc/mc_example.txt b/tests/data_for_tests/solver/mc/mc_example.txt new file mode 100644 index 0000000..550d3ad --- /dev/null +++ b/tests/data_for_tests/solver/mc/mc_example.txt @@ -0,0 +1,16 @@ +1 0 0 1 2 0 0 2 2 1 1 2 3 0 0 3 3 1 1 3 3 2 2 3 4 0 0 4 4 1 1 4 4 2 2 4 4 3 3 4 5 2 2 5 5 4 4 5 5 1 1 5 5 0 0 5 6 0 0 6 6 1 1 6 6 5 5 6 6 2 2 6 7 1 1 7 7 5 5 7 7 0 0 7 7 3 3 7 8 3 3 8 8 2 2 8 8 4 4 8 8 1 1 8 9 3 3 9 9 1 1 9 9 2 2 9 9 0 0 9 10 4 4 10 10 3 3 10 10 0 0 10 10 2 2 10 11 7 7 11 11 8 8 11 11 5 5 11 11 3 3 11 12 5 5 12 12 11 11 12 12 1 1 12 12 4 4 12 13 10 10 13 13 11 11 13 13 3 3 13 13 5 5 13 14 2 2 14 14 1 1 14 14 8 8 14 14 9 9 14 15 7 7 15 15 5 5 15 15 0 0 15 15 14 14 15 16 2 2 16 16 1 1 16 16 3 3 16 16 6 6 16 17 16 16 17 17 7 7 17 17 8 8 17 17 10 10 17 18 2 2 18 18 3 3 18 18 7 7 18 18 8 8 18 19 8 8 19 19 12 12 19 19 3 3 19 19 4 4 19 20 16 16 20 20 7 7 20 20 15 15 20 20 14 14 20 21 3 3 21 21 1 1 21 21 17 17 21 21 2 2 21 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134 167 48 48 167 179 102 102 179 163 38 38 163 178 57 57 178 151 110 110 151 140 30 30 140 26 8 8 26 86 59 59 86 35 15 15 35 169 33 33 169 146 12 12 146 172 98 98 172 19 5 5 19 160 72 72 160 119 92 92 119 165 59 59 165 11 1 1 11 177 33 33 177 82 61 61 82 141 88 88 141 162 90 90 162 64 40 40 64 20 6 6 20 165 95 95 165 166 60 60 166 140 38 38 140 153 57 57 153 178 34 34 178 123 98 98 123 64 12 12 64 65 41 41 65 165 26 26 165 147 46 46 147 70 44 44 70 112 84 84 112 76 22 22 76 160 101 101 160 label 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 1 1 0 0 diff --git a/tests/data_for_tests/solver/mis/mis_example.txt b/tests/data_for_tests/solver/mis/mis_example.txt index 3ef2dca..395b073 100644 --- a/tests/data_for_tests/solver/mis/mis_example.txt +++ b/tests/data_for_tests/solver/mis/mis_example.txt @@ -1,10 +1,10 @@ -0 1 0 2 0 31 0 148 0 348 0 484 0 648 1 2 1 176 1 260 1 325 1 457 1 461 1 530 1 604 1 632 1 854 2 62 2 110 2 328 2 691 2 719 2 773 2 791 2 935 2 980 2 1043 2 1172 3 4 3 5 3 139 3 166 3 769 3 886 3 889 4 5 4 422 4 482 4 525 5 446 5 563 5 584 5 925 5 946 5 1109 5 1121 6 7 6 8 6 10 6 189 6 338 6 355 6 396 6 1198 7 8 7 161 7 297 7 435 7 480 7 601 7 787 7 1075 7 1098 7 1102 8 69 8 251 8 270 8 511 8 759 8 879 8 1167 8 1192 9 10 9 11 9 100 9 249 9 375 9 483 9 811 9 1195 10 11 10 363 10 589 10 622 10 1131 11 448 11 481 11 586 11 672 11 858 11 904 11 1044 11 1180 12 13 12 14 12 165 12 220 12 766 13 14 13 448 13 481 13 586 13 672 13 858 13 904 13 1044 13 1180 14 891 14 931 14 988 14 1007 15 16 15 17 15 472 15 528 15 951 15 1062 15 1185 16 17 16 43 16 81 16 149 16 378 16 407 16 862 16 1027 17 422 17 482 17 525 18 19 18 20 18 78 18 129 18 231 18 537 19 20 19 385 19 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1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 0 1 0 0 1 0 0 0 1 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 1 1 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 0 1 0 0 1 1 0 0 0 1 0 1 0 0 1 0 0 0 0 1 diff --git a/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/CBS_k3_n100_m429_b50_1_unweighted.result b/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/CBS_k3_n100_m429_b50_1_unweighted.result index ba82d2f..5e461d0 100644 --- a/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/CBS_k3_n100_m429_b50_1_unweighted.result +++ b/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/CBS_k3_n100_m429_b50_1_unweighted.result @@ -1,13 +1,16 @@ 0 -1 0 1 +1 +0 0 0 0 1 0 0 +1 +0 0 1 0 @@ -26,14 +29,11 @@ 1 0 0 -1 -0 0 1 0 0 1 -0 1 0 0 @@ -49,15 +49,15 @@ 1 0 0 -0 1 0 0 +0 1 0 +1 0 0 -1 0 0 1 @@ -67,69 +67,67 @@ 0 0 1 -0 -1 -0 1 0 0 -1 0 0 1 +1 0 0 0 1 0 -1 0 +1 0 1 0 0 +1 0 0 1 -1 0 0 1 0 0 -1 0 +1 0 +1 0 0 1 0 0 +0 1 0 +0 1 0 0 0 1 -0 1 0 0 -1 0 1 0 +1 0 0 -1 0 0 1 0 -0 1 0 +0 1 0 0 @@ -137,6 +135,8 @@ 0 0 0 +1 +0 0 1 0 @@ -152,18 +152,18 @@ 1 0 0 -1 0 1 +1 0 0 0 0 1 -0 1 0 0 +0 1 0 1 @@ -212,8 +212,8 @@ 0 1 0 -1 0 +1 0 1 0 @@ -230,15 +230,15 @@ 0 0 0 -1 0 +1 0 0 1 +1 0 0 1 -1 0 0 0 @@ -256,24 +256,24 @@ 0 1 0 -0 1 0 0 0 -1 -0 0 1 1 0 0 0 +0 1 0 1 0 0 +1 +0 0 0 1 @@ -286,15 +286,15 @@ 0 1 0 +1 0 0 1 0 -1 0 +1 0 0 -1 0 1 0 @@ -304,21 +304,21 @@ 1 0 0 -0 1 0 0 -1 0 1 0 0 0 1 -0 1 0 0 +0 +0 +1 1 0 0 @@ -340,8 +340,8 @@ 0 0 1 -1 0 +1 0 0 1 @@ -377,8 +377,8 @@ 0 1 0 -1 0 +1 0 0 1 @@ -394,9 +394,9 @@ 0 1 0 -0 1 0 +0 1 0 0 @@ -409,8 +409,6 @@ 0 1 0 -1 -0 0 1 0 @@ -421,11 +419,10 @@ 1 0 0 -0 -0 1 0 0 +0 1 1 0 @@ -433,29 +430,32 @@ 0 1 0 +0 1 0 0 0 +1 0 1 0 0 -1 0 1 +1 +0 0 1 0 0 0 -1 0 1 +1 0 0 -1 0 +1 0 0 0 @@ -464,8 +464,8 @@ 0 1 0 -1 0 +1 0 0 1 @@ -476,18 +476,18 @@ 0 1 0 -1 0 +1 0 0 1 0 0 1 +1 0 0 1 -1 0 0 0 @@ -503,30 +503,30 @@ 0 1 0 -1 0 1 +1 0 0 0 1 0 0 +0 1 0 0 1 0 0 -0 1 0 1 0 -1 0 0 1 +1 0 0 0 @@ -559,9 +559,9 @@ 0 0 1 -1 0 0 +1 0 1 0 @@ -574,13 +574,13 @@ 1 0 0 +1 0 0 -1 -1 0 0 1 +1 0 0 0 @@ -592,17 +592,17 @@ 1 0 0 -1 0 0 +1 0 1 0 1 0 0 -1 0 +1 0 0 1 @@ -611,15 +611,14 @@ 0 1 0 -0 1 0 0 +0 1 1 0 0 -1 0 0 1 @@ -628,6 +627,7 @@ 1 0 0 +1 0 1 0 @@ -635,16 +635,16 @@ 0 1 0 -1 0 1 +1 0 0 0 0 1 -1 0 +1 0 0 1 @@ -661,8 +661,8 @@ 0 0 1 -1 0 +1 0 0 1 @@ -670,9 +670,12 @@ 0 0 1 +1 0 0 1 +0 +0 1 0 0 @@ -691,18 +694,15 @@ 0 0 1 -0 -0 -1 1 0 0 0 0 1 -0 1 0 +0 1 0 0 @@ -739,8 +739,8 @@ 1 0 0 -1 0 +1 0 1 0 @@ -748,9 +748,9 @@ 0 1 0 -0 1 0 +0 1 0 0 @@ -760,18 +760,18 @@ 0 1 0 -0 1 0 +0 1 0 0 0 0 1 +1 0 0 -1 0 0 1 @@ -790,12 +790,11 @@ 0 0 1 -1 0 0 1 0 -0 +1 0 1 0 @@ -804,6 +803,7 @@ 1 0 0 +0 1 1 0 @@ -823,15 +823,15 @@ 1 0 0 -1 -0 0 +1 0 0 1 0 0 1 +0 1 0 0 @@ -839,13 +839,11 @@ 0 1 0 -0 1 0 0 1 0 -1 0 1 0 @@ -853,26 +851,28 @@ 0 1 0 -0 -0 -1 1 0 0 +0 1 0 +1 0 +1 0 0 1 0 -1 0 0 0 1 0 +0 1 +1 +0 0 0 0 @@ -883,9 +883,9 @@ 0 0 1 +1 0 0 -1 0 0 1 @@ -896,9 +896,9 @@ 1 0 0 -1 0 1 +1 0 0 0 @@ -926,10 +926,10 @@ 0 1 0 -0 1 0 0 +0 1 0 0 @@ -941,11 +941,12 @@ 1 0 0 -1 0 +1 0 1 0 +0 1 0 0 @@ -953,7 +954,6 @@ 1 0 0 -0 1 0 1 @@ -962,16 +962,13 @@ 0 1 0 -0 1 0 -1 0 1 0 0 0 -0 1 0 0 @@ -982,16 +979,19 @@ 1 0 0 -1 0 +1 0 1 0 0 +1 0 0 1 0 +0 +0 1 0 1 @@ -1001,9 +1001,9 @@ 0 0 0 -1 0 1 +1 0 0 0 @@ -1015,17 +1015,15 @@ 0 0 1 +1 0 0 1 -1 -0 0 0 1 0 0 -1 0 0 1 @@ -1033,6 +1031,8 @@ 0 1 0 +1 +0 0 1 0 @@ -1054,22 +1054,22 @@ 1 0 0 +1 0 0 -1 0 1 0 +1 0 0 -1 0 0 1 -0 1 0 0 +0 1 0 0 @@ -1087,8 +1087,8 @@ 0 0 1 -1 0 +1 0 1 0 @@ -1111,21 +1111,21 @@ 0 0 1 -0 1 0 +0 1 0 0 -1 0 +1 0 1 0 0 +1 0 0 -1 0 0 1 @@ -1133,25 +1133,25 @@ 1 0 0 -0 -1 1 0 0 0 -0 1 0 +0 1 0 +0 +1 1 0 0 0 1 0 -1 0 +1 0 1 0 @@ -1165,10 +1165,10 @@ 0 0 1 -0 1 0 0 +0 1 0 1 @@ -1177,12 +1177,12 @@ 0 1 0 +0 1 0 0 1 0 -0 1 0 0 @@ -1204,8 +1204,8 @@ 0 0 1 -1 0 +1 0 0 1 @@ -1261,10 +1261,10 @@ 0 0 1 -0 1 0 0 +0 1 0 0 @@ -1276,8 +1276,8 @@ 0 1 0 -1 0 +1 0 0 1 diff --git a/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/results.json b/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/results.json index 9da395e..b68caf3 100644 --- a/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/results.json +++ b/tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution/results.json @@ -406,8 +406,8 @@ 1205, 1206 ], - "solution_time": 5.03329, - "total_time": 10.143693484016694, + "solution_time": 2.69139, + "total_time": 10.091511537786573, "vertices": 403 }, "CBS_k3_n100_m418_b10_927": { @@ -832,68 +832,68 @@ 1249, 1253 ], - "solution_time": 5.59536, - "total_time": 10.153483061934821, + "solution_time": 2.94431, + "total_time": 10.111215078271925, "vertices": 418 }, "CBS_k3_n100_m429_b50_1": { "found_mis": true, "mis": [ - 1, + 2, 3, - 7, + 8, 11, 14, 17, 20, - 21, - 25, + 23, + 24, 28, - 31, - 34, + 32, + 35, 36, 39, 44, 45, 48, - 52, + 51, 55, - 59, + 57, 62, 64, 68, - 70, - 72, + 69, + 74, 75, - 78, + 79, 82, 84, 87, - 92, + 90, 93, - 96, + 97, 99, - 104, - 107, + 102, + 106, 109, 113, - 115, + 114, 118, 120, - 124, + 125, 127, 130, - 132, - 135, + 133, + 137, 140, 143, 145, 149, 151, - 154, + 155, 156, 161, - 163, + 162, 166, 168, 171, @@ -910,42 +910,42 @@ 205, 209, 212, - 214, + 215, 217, 219, 224, 227, 228, - 232, + 233, 236, - 239, + 237, 240, 244, 246, 249, 252, 256, - 259, + 258, 263, - 266, - 267, + 264, + 269, 271, - 273, + 274, 278, 281, 283, 286, - 290, - 292, - 296, + 288, + 291, + 294, 298, 302, 303, - 307, + 306, 310, - 312, - 316, - 318, + 314, + 315, + 320, 321, 326, 328, @@ -953,7 +953,7 @@ 335, 338, 341, - 342, + 343, 346, 348, 351, @@ -965,56 +965,56 @@ 370, 373, 377, - 379, + 380, 383, 386, 389, 392, 394, - 397, + 396, 399, 403, 406, 409, - 411, - 414, + 412, + 416, 418, - 420, + 421, 425, - 428, - 429, + 426, + 430, 433, - 435, - 440, + 437, + 439, 443, - 445, + 444, 447, - 451, + 452, 453, - 456, + 457, 461, 464, - 466, + 467, 470, 473, 476, - 478, + 479, 482, 485, - 488, + 486, 489, 494, 496, 500, 503, - 505, + 506, 507, 511, - 514, - 517, + 515, + 518, 521, 523, - 525, + 527, 528, 532, 534, @@ -1026,54 +1026,54 @@ 554, 555, 560, - 561, + 563, 565, 568, 571, 573, - 578, - 579, + 576, + 581, 582, 586, 590, 591, - 594, + 596, 598, 600, - 603, + 604, 607, 611, - 614, + 613, 617, 618, - 621, - 624, - 627, + 623, + 626, + 629, 631, 635, - 637, + 638, 639, 644, - 645, + 646, 649, 651, 654, 657, 662, - 663, + 664, 667, 671, - 674, + 672, 675, - 679, + 678, 682, - 684, - 689, + 685, + 687, 692, 695, 696, 701, - 703, + 702, 705, 710, 713, @@ -1086,27 +1086,27 @@ 733, 737, 738, - 741, + 742, 744, 748, - 751, + 750, 753, 758, 760, - 763, + 762, 765, 770, - 773, + 771, 776, 777, 782, 783, 786, 791, - 792, - 795, - 799, - 803, + 794, + 796, + 798, + 802, 806, 807, 811, @@ -1114,31 +1114,31 @@ 818, 821, 822, - 825, - 830, - 833, + 826, + 829, + 832, 834, 839, - 842, - 845, + 841, + 844, 847, - 849, + 851, 853, 857, - 858, + 859, 861, - 866, - 868, + 864, + 869, 872, - 874, + 873, 878, 879, 884, - 887, + 885, 890, 892, 895, - 898, + 899, 900, 905, 906, @@ -1148,41 +1148,41 @@ 919, 921, 926, - 929, + 928, 932, 935, 938, 940, - 943, + 944, 946, - 948, - 952, + 949, + 953, 956, 958, 962, - 965, + 964, 967, - 969, + 971, 974, 977, - 980, - 981, + 978, + 982, 984, 987, - 992, + 990, 994, 996, 999, - 1003, + 1004, 1005, 1010, 1011, 1016, - 1019, + 1017, 1020, - 1024, - 1027, - 1030, + 1023, + 1028, + 1031, 1033, 1036, 1040, @@ -1191,18 +1191,18 @@ 1047, 1052, 1053, - 1058, + 1056, 1060, - 1064, + 1062, 1067, - 1069, + 1068, 1072, 1076, 1077, 1081, 1083, 1088, - 1089, + 1090, 1092, 1095, 1100, @@ -1210,30 +1210,30 @@ 1106, 1107, 1112, - 1114, + 1113, 1116, - 1119, + 1120, 1122, - 1127, + 1125, 1130, 1132, - 1136, - 1137, + 1135, + 1139, 1142, - 1144, + 1145, 1146, 1150, - 1152, + 1153, 1155, 1158, 1162, 1166, - 1168, + 1167, 1171, 1173, 1177, - 1179, - 1182, + 1180, + 1183, 1185, 1189, 1193, @@ -1241,7 +1241,7 @@ 1199, 1202, 1205, - 1206, + 1207, 1210, 1212, 1217, @@ -1260,17 +1260,17 @@ 1254, 1257, 1262, - 1264, + 1263, 1267, 1270, 1273, 1276, - 1278, + 1279, 1282, 1285 ], - "solution_time": 5.04965, - "total_time": 10.119193174992688, + "solution_time": 2.66076, + "total_time": 10.174272296018898, "vertices": 429 }, "CBS_k3_n100_m449_b70_15": { @@ -1726,8 +1726,8 @@ 1342, 1346 ], - "solution_time": 6.09165, - "total_time": 10.17568390199449, + "solution_time": 3.19248, + "total_time": 10.16194302868098, "vertices": 449 } } \ No newline at end of file diff --git a/tests/data_for_tests/solver/mvc/mvc_example.txt b/tests/data_for_tests/solver/mvc/mvc_example.txt new file mode 100644 index 0000000..19c54e9 --- /dev/null +++ b/tests/data_for_tests/solver/mvc/mvc_example.txt @@ -0,0 +1,16 @@ +0 4 0 6 0 9 0 11 0 13 0 15 1 2 1 3 1 7 1 8 1 15 2 1 2 3 2 7 2 8 2 15 3 1 3 2 3 7 3 8 3 15 4 0 4 6 4 9 4 11 4 13 4 15 5 9 5 10 5 11 5 12 5 14 5 15 6 0 6 4 6 9 6 11 6 12 6 13 6 15 7 1 7 2 7 3 7 8 7 15 8 1 8 2 8 3 8 7 8 15 9 0 9 4 9 5 9 6 9 11 9 13 9 15 10 5 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1 12 2 0 2 1 2 3 2 4 2 5 2 6 2 7 2 8 2 9 2 10 2 11 2 12 3 0 3 1 3 2 3 4 3 5 3 6 3 7 3 8 3 9 3 10 3 11 3 12 4 0 4 1 4 2 4 3 4 5 4 6 4 7 4 8 4 9 4 10 4 11 4 12 5 0 5 1 5 2 5 3 5 4 5 6 5 7 5 8 5 9 5 10 5 11 5 12 6 0 6 1 6 2 6 3 6 4 6 5 6 7 6 8 6 9 6 10 6 11 6 12 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 8 7 9 7 10 7 11 7 12 8 0 8 1 8 2 8 3 8 4 8 5 8 6 8 7 8 9 8 10 8 11 8 12 9 0 9 1 9 2 9 3 9 4 9 5 9 6 9 7 9 8 9 10 9 11 9 12 10 0 10 1 10 2 10 3 10 4 10 5 10 6 10 7 10 8 10 9 10 11 10 12 11 0 11 1 11 2 11 3 11 4 11 5 11 6 11 7 11 8 11 9 11 10 11 12 12 0 12 1 12 2 12 3 12 4 12 5 12 6 12 7 12 8 12 9 12 10 12 11 label 0 1 1 1 1 1 1 1 1 1 1 1 1 +0 1 0 3 0 4 0 5 0 7 0 11 1 0 1 2 1 3 1 4 1 5 1 7 1 11 2 1 2 4 2 5 2 6 2 7 2 8 2 9 2 10 3 0 3 1 3 4 3 5 3 7 3 11 4 0 4 1 4 2 4 3 4 5 4 6 4 7 4 8 4 9 4 10 4 11 5 0 5 1 5 2 5 3 5 4 5 6 5 7 5 8 5 9 5 10 5 11 6 2 6 4 6 5 6 7 6 8 6 9 6 10 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 8 7 9 7 10 7 11 8 2 8 4 8 5 8 6 8 7 8 9 8 10 9 2 9 4 9 5 9 6 9 7 9 8 9 10 10 2 10 4 10 5 10 6 10 7 10 8 10 9 11 0 11 1 11 3 11 4 11 5 11 7 label 0 1 1 1 1 1 1 1 0 1 1 1 diff --git a/tests/test_generator.py b/tests/test_generator.py index eb264df..6f62d39 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -3,170 +3,294 @@ root_folder = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(root_folder) import shutil -from ml4co_kit import ( - TSPDataGenerator, MISDataGenerator, CVRPDataGenerator, ATSPDataGenerator -) -from ml4co_kit import KaMISSolver, CVRPPyVRPSolver, CVRPLKHSolver +from ml4co_kit import * + + +GUROBI_LICENCE = "/home/majiale/gurobi.lic" +GUROBI_TEST = True ############################################## -# Test Func For TSP # +# Test Func For ATSP # ############################################## -def _test_tsp_lkh_generator( +def _test_atsp_lkh_generator( num_threads: int, nodes_num: int, data_type: str, - regret: bool, re_download: bool=False + sat_vars_num: int = None, sat_clauses_nums: int = None ): """ - Test TSPDataGenerator using LKH Solver + Test ATSPDataGenerator using ATSPLKHSolver """ # save path - save_path = f"tmp/tsp{nodes_num}_lkh" + save_path = f"tmp/atsp{nodes_num}_lkh" if not os.path.exists(save_path): os.makedirs(save_path) + # create TSPDataGenerator using lkh solver - tsp_data_lkh = TSPDataGenerator( + tsp_data_lkh = ATSPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver="LKH", + solver=SOLVER_TYPE.LKH, train_samples_num=4, val_samples_num=4, test_samples_num=4, save_path=save_path, - regret=regret, + sat_vars_nums=sat_vars_num, + sat_clauses_nums=sat_clauses_nums, ) - if re_download: - tsp_data_lkh.download_lkh() + # generate data tsp_data_lkh.generate() + # remove the save path shutil.rmtree(save_path) -def _test_tsp_concorde_generator( - num_threads: int, nodes_num: int, data_type: str, - recompile_concorde: bool = False +def test_atsp(): + """ + Test ATSPDataGenerator + """ + # sat + _test_atsp_lkh_generator( + num_threads=4, nodes_num=55, data_type="sat", sat_clauses_nums=5, sat_vars_num=5 + ) + # threads + _test_atsp_lkh_generator( + num_threads=1, nodes_num=55, data_type="sat", sat_clauses_nums=5, sat_vars_num=5 + ) + # hcp + _test_atsp_lkh_generator( + num_threads=4, nodes_num=50, data_type="hcp" + ) + # uniform + _test_atsp_lkh_generator( + num_threads=4, nodes_num=50, data_type="uniform" + ) + + +############################################## +# Test Func For CVRP # +############################################## + +def _test_cvrp_pyvrp_generator( + num_threads: int, nodes_num: int, data_type: str, capacity: int ): """ - Test TSPDataGenerator using Concorde Solver + Test CVRPDataGenerator using CVRPPyVRPSolver """ # save path - save_path = f"tmp/tsp{nodes_num}_concorde" + save_path = f"tmp/cvrp_{data_type}_pyvrp" if not os.path.exists(save_path): os.makedirs(save_path) - # create TSPDataGenerator using concorde solver - tsp_data_concorde = TSPDataGenerator( + + # create CVRPDataGenerator using PyVRP solver + solver = CVRPPyVRPSolver(time_limit=3) + cvrp_data_pyvrp = CVRPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver="Concorde", + solver=solver, train_samples_num=4, val_samples_num=4, test_samples_num=4, save_path=save_path, + min_capacity=capacity, + max_capacity=capacity ) - if recompile_concorde: - tsp_data_concorde.recompile_concorde() - + # generate data - tsp_data_concorde.generate() + cvrp_data_pyvrp.generate() + # remove the save path shutil.rmtree(save_path) -def _test_tsp_ga_eax_generator( - num_threads: int, nodes_num: int, data_type: str +def _test_cvrp_lkh_generator( + num_threads: int, nodes_num: int, data_type: str, capacity: int ): """ - Test TSPDataGenerator using GA-EAX Solver + Test CVRPDataGenerator using LKH """ # save path - save_path = f"tmp/tsp{nodes_num}_ga_eax" + save_path = f"tmp/cvrp_{data_type}_lkh" if not os.path.exists(save_path): os.makedirs(save_path) - # create TSPDataGenerator using ga-eax solver - tsp_data_ga_eax = TSPDataGenerator( + + # create CVRPDataGenerator using lkh solver + solver = CVRPLKHSolver(lkh_max_trials=100) + cvrp_data_lkh = CVRPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver="GA-EAX", + solver=solver, train_samples_num=4, val_samples_num=4, test_samples_num=4, save_path=save_path, + min_capacity=capacity, + max_capacity=capacity ) - + # generate data - tsp_data_ga_eax.generate() + cvrp_data_lkh.generate() + # remove the save path shutil.rmtree(save_path) - - -def _test_tsp_ga_eax_large_generator( - num_threads: int, nodes_num: int, data_type: str + + +def _test_cvrp_hgs_generator( + num_threads: int, nodes_num: int, data_type: str, capacity: int ): """ - Test TSPDataGenerator using GA-EAX Solver + Test CVRPDataGenerator using CVRPHGSSolver """ # save path - save_path = f"tmp/tsp{nodes_num}_ga_eax_large" + save_path = f"tmp/cvrp_{data_type}_pyvrp" if not os.path.exists(save_path): os.makedirs(save_path) - # create TSPDataGenerator using ga-eax-large solver - tsp_data_ga_eax_large = TSPDataGenerator( + + # create CVRPDataGenerator using lkh solver + cvrp_data_hgs = CVRPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver="GA-EAX-Large", - train_samples_num=1, - val_samples_num=0, - test_samples_num=0, + solver=SOLVER_TYPE.HGS, + train_samples_num=4, + val_samples_num=4, + test_samples_num=4, save_path=save_path, + min_capacity=capacity, + max_capacity=capacity ) - + # generate data - tsp_data_ga_eax_large.generate() + cvrp_data_hgs.generate() + # remove the save path shutil.rmtree(save_path) - -def test_tsp(): + +def test_cvrp(): """ - Test TSPDataGenerator + Test CVRPDataGenerator """ - # re-download lkh - _test_tsp_lkh_generator( - num_threads=4, nodes_num=50, data_type="uniform", - regret=False, re_download=True - ) - # regret & threads - _test_tsp_lkh_generator( - num_threads=1, nodes_num=10, data_type="uniform", regret=True + # hgs + _test_cvrp_hgs_generator( + num_threads=4, nodes_num=50, data_type="uniform", capacity=40 ) - _test_tsp_lkh_generator( - num_threads=4, nodes_num=10, data_type="uniform", regret=True + # threads + _test_cvrp_hgs_generator( + num_threads=1, nodes_num=50, data_type="uniform", capacity=40 ) - # concorde - _test_tsp_concorde_generator( - num_threads=4, nodes_num=50, data_type="uniform", - recompile_concorde=True + # lkh + _test_cvrp_lkh_generator( + num_threads=4, nodes_num=20, data_type="uniform", capacity=30 ) - # ga-eax - _test_tsp_ga_eax_generator( - num_threads=4, nodes_num=50, data_type="uniform" + # pyvrp + _test_cvrp_pyvrp_generator( + num_threads=1, nodes_num=50, data_type="uniform", capacity=40 ) - # ga-eax-large - _test_tsp_ga_eax_large_generator( - num_threads=1, nodes_num=1000, data_type="uniform" + # gaussian + _test_cvrp_pyvrp_generator( + num_threads=4, nodes_num=50, data_type="gaussian", capacity=40 ) - # gaussian & cluster - _test_tsp_concorde_generator( - num_threads=4, nodes_num=50, data_type="gaussian" + + +############################################## +# Test Func For MC # +############################################## + +def _test_mc_gurobi( + nodes_num_min: int, nodes_num_max: int, data_type: str +): + """ + Test MCDataGenerator using MCGurobiSolver + """ + # save path + save_path = f"tmp/mc_{data_type}_gurobi" + if not os.path.exists(save_path): + os.makedirs(save_path) + + # solver + solver = MCGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=5.0) + + # create MISDataGenerator using gurobi solver + mis_data_gurobi = MCDataGenerator( + nodes_num_min=nodes_num_min, + nodes_num_max=nodes_num_max, + data_type=data_type, + solver=solver, + train_samples_num=2, + val_samples_num=2, + test_samples_num=2, + save_path=save_path, ) - _test_tsp_concorde_generator( - num_threads=4, nodes_num=50, data_type="cluster" + + # generate and solve data + mis_data_gurobi.generate() + + # remove the save path + shutil.rmtree(save_path) + + +def test_mc(): + """ + Test MVCDataGenerator + """ + if GUROBI_TEST: + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + + +############################################## +# Test Func For MCl # +############################################## + +def _test_mcl_gurobi( + nodes_num_min: int, nodes_num_max: int, data_type: str +): + """ + Test MClDataGenerator using MClGurobiSolver + """ + # save path + save_path = f"tmp/mcl_{data_type}_gurobi" + if not os.path.exists(save_path): + os.makedirs(save_path) + + # solver + solver = MClGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=5.0) + + # create MISDataGenerator using gurobi solver + mis_data_gurobi = MClDataGenerator( + nodes_num_min=nodes_num_min, + nodes_num_max=nodes_num_max, + data_type=data_type, + solver=solver, + train_samples_num=2, + val_samples_num=2, + test_samples_num=2, + save_path=save_path, ) + + # generate and solve data + mis_data_gurobi.generate() + + # remove the save path + shutil.rmtree(save_path) + + +def test_mcl(): + """ + Test MCLDataGenerator + """ + if GUROBI_TEST: + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") ############################################## @@ -186,7 +310,7 @@ def _test_mis_kamis( os.makedirs(save_path) # create MISDataGenerator using KaMIS solver - solver = KaMISSolver(time_limit=10) + solver = KaMISSolver(time_limit=5.0) if recompile_kamis: solver.recompile_kamis() mis_data_kamis = MISDataGenerator( @@ -202,7 +326,6 @@ def _test_mis_kamis( # generate and solve data mis_data_kamis.generate() - mis_data_kamis.solve() # remove the save path shutil.rmtree(save_path) @@ -212,29 +335,30 @@ def _test_mis_gurobi( nodes_num_min: int, nodes_num_max: int, data_type: str ): """ - Test MISDataGenerator using MISGurobi + Test MISDataGenerator using MISGurobiSolver """ # save path save_path = f"tmp/mis_{data_type}_gurobi" if not os.path.exists(save_path): os.makedirs(save_path) - + + # solver + solver = MISGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=5.0) + # create MISDataGenerator using gurobi solver mis_data_gurobi = MISDataGenerator( nodes_num_min=nodes_num_min, nodes_num_max=nodes_num_max, data_type=data_type, - solver="Gurobi", + solver=solver, train_samples_num=2, val_samples_num=2, test_samples_num=2, save_path=save_path, - solve_limit_time=10.0, ) # generate and solve data mis_data_gurobi.generate() - mis_data_gurobi.solve() # remove the save path shutil.rmtree(save_path) @@ -244,207 +368,228 @@ def test_mis(): """ Test MISDataGenerator """ - # _test_mis_kamis( - # nodes_num_min=600, nodes_num_max=700, data_type="er", recompile_kamis=True - # ) + _test_mis_kamis( + nodes_num_min=600, nodes_num_max=700, data_type="er", recompile_kamis=True + ) _test_mis_kamis(nodes_num_min=600, nodes_num_max=700, data_type="ba") _test_mis_kamis(nodes_num_min=600, nodes_num_max=700, data_type="hk") _test_mis_kamis(nodes_num_min=600, nodes_num_max=700, data_type="ws") - # gurobi need license - # gurobipy.GurobiError: Model too large for size-limited license; - # visit https://www.gurobi.com/free-trial for a full license - # _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") - # _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") - # _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") - # _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + if GUROBI_TEST: + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") ############################################## -# Test Func For CVRP # +# Test Func For MVC # ############################################## -def _test_cvrp_pyvrp_generator( - num_threads: int, nodes_num: int, data_type: str, capacity: int +def _test_mvc_gurobi( + nodes_num_min: int, nodes_num_max: int, data_type: str ): """ - Test CVRPDataGenerator using PyVRP + Test MVCDataGenerator using MVCGurobiSolver """ # save path - save_path = f"tmp/cvrp_{data_type}_pyvrp" + save_path = f"tmp/mvc_{data_type}_gurobi" if not os.path.exists(save_path): os.makedirs(save_path) - - # create CVRPDataGenerator using PyVRP solver - solver = CVRPPyVRPSolver(time_limit=3) - cvrp_data_pyvrp = CVRPDataGenerator( - num_threads=num_threads, - nodes_num=nodes_num, + + # solver + solver = MVCGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=5.0) + + # create MISDataGenerator using gurobi solver + mis_data_gurobi = MVCDataGenerator( + nodes_num_min=nodes_num_min, + nodes_num_max=nodes_num_max, data_type=data_type, solver=solver, - train_samples_num=4, - val_samples_num=4, - test_samples_num=4, + train_samples_num=2, + val_samples_num=2, + test_samples_num=2, save_path=save_path, - min_capacity=capacity, - max_capacity=capacity ) - # generate data - cvrp_data_pyvrp.generate() + # generate and solve data + mis_data_gurobi.generate() # remove the save path shutil.rmtree(save_path) -def _test_cvrp_lkh_generator( - num_threads: int, nodes_num: int, data_type: str, capacity: int +def test_mvc(): + """ + Test MVCDataGenerator + """ + if GUROBI_TEST: + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + + + +############################################## +# Test Func For TSP # +############################################## + +def _test_tsp_lkh_generator( + num_threads: int, nodes_num: int, data_type: str, + regret: bool, re_download: bool=False ): """ - Test CVRPDataGenerator using LKH + Test TSPDataGenerator using LKH Solver """ # save path - save_path = f"tmp/cvrp_{data_type}_lkh" + save_path = f"tmp/tsp{nodes_num}_lkh" if not os.path.exists(save_path): os.makedirs(save_path) - - # create CVRPDataGenerator using lkh solver - solver = CVRPLKHSolver(lkh_max_trials=100) - cvrp_data_lkh = CVRPDataGenerator( + # create TSPDataGenerator using lkh solver + tsp_data_lkh = TSPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver=solver, + solver=SOLVER_TYPE.LKH, train_samples_num=4, val_samples_num=4, test_samples_num=4, save_path=save_path, - min_capacity=capacity, - max_capacity=capacity + regret=regret, ) - + if re_download: + tsp_data_lkh.download_lkh() # generate data - cvrp_data_lkh.generate() - + tsp_data_lkh.generate() # remove the save path shutil.rmtree(save_path) -def _test_cvrp_hgs_generator( - num_threads: int, nodes_num: int, data_type: str, capacity: int +def _test_tsp_concorde_generator( + num_threads: int, nodes_num: int, data_type: str, + recompile_concorde: bool = False ): """ - Test CVRPDataGenerator using HGS + Test TSPDataGenerator using Concorde Solver """ # save path - save_path = f"tmp/cvrp_{data_type}_pyvrp" + save_path = f"tmp/tsp{nodes_num}_concorde" if not os.path.exists(save_path): os.makedirs(save_path) - - # create CVRPDataGenerator using lkh solver - cvrp_data_hgs = CVRPDataGenerator( + # create TSPDataGenerator using concorde solver + tsp_data_concorde = TSPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver="HGS", + solver=SOLVER_TYPE.CONCORDE, train_samples_num=4, val_samples_num=4, test_samples_num=4, save_path=save_path, - min_capacity=capacity, - max_capacity=capacity ) - + if recompile_concorde: + tsp_data_concorde.recompile_concorde() + # generate data - cvrp_data_hgs.generate() - + tsp_data_concorde.generate() # remove the save path shutil.rmtree(save_path) - -def test_cvrp(): - """ - Test CVRPDataGenerator - """ - # hgs - _test_cvrp_hgs_generator( - num_threads=4, nodes_num=50, data_type="uniform", capacity=40 - ) - # threads - _test_cvrp_hgs_generator( - num_threads=1, nodes_num=50, data_type="uniform", capacity=40 - ) - # lkh - _test_cvrp_lkh_generator( - num_threads=4, nodes_num=20, data_type="uniform", capacity=30 - ) - # pyvrp - _test_cvrp_pyvrp_generator( - num_threads=1, nodes_num=50, data_type="uniform", capacity=40 - ) - # gaussian - _test_cvrp_pyvrp_generator( - num_threads=4, nodes_num=50, data_type="gaussian", capacity=40 - ) -############################################## -# Test Func For ATSP # -############################################## - -def _test_atsp_lkh_generator( - num_threads: int, nodes_num: int, data_type: str, - sat_vars_num: int = None, sat_clauses_nums: int = None +def _test_tsp_ga_eax_generator( + num_threads: int, nodes_num: int, data_type: str ): """ - Test ATSPDataGenerator using LKH Solver + Test TSPDataGenerator using TSPGAEAXSolver """ # save path - save_path = f"tmp/atsp{nodes_num}_lkh" + save_path = f"tmp/tsp{nodes_num}_ga_eax" if not os.path.exists(save_path): os.makedirs(save_path) - - # create TSPDataGenerator using lkh solver - tsp_data_lkh = ATSPDataGenerator( + # create TSPDataGenerator using ga-eax solver + tsp_data_ga_eax = TSPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, - solver="LKH", + solver=SOLVER_TYPE.GA_EAX, train_samples_num=4, val_samples_num=4, test_samples_num=4, save_path=save_path, - sat_vars_nums=sat_vars_num, - sat_clauses_nums=sat_clauses_nums, ) - + # generate data - tsp_data_lkh.generate() + tsp_data_ga_eax.generate() + # remove the save path + shutil.rmtree(save_path) + +def _test_tsp_ga_eax_large_generator( + num_threads: int, nodes_num: int, data_type: str +): + """ + Test TSPDataGenerator using TSPGAEAXLargeSolver + """ + # save path + save_path = f"tmp/tsp{nodes_num}_ga_eax_large" + if not os.path.exists(save_path): + os.makedirs(save_path) + # create TSPDataGenerator using ga-eax-large solver + tsp_data_ga_eax_large = TSPDataGenerator( + num_threads=num_threads, + nodes_num=nodes_num, + data_type=data_type, + solver=SOLVER_TYPE.GA_EAX_LARGE, + train_samples_num=1, + val_samples_num=0, + test_samples_num=0, + save_path=save_path, + ) + + # generate data + tsp_data_ga_eax_large.generate() # remove the save path shutil.rmtree(save_path) - - -def test_atsp(): + + +def test_tsp(): """ - Test ATSPDataGenerator + Test TSPDataGenerator """ - # sat - _test_atsp_lkh_generator( - num_threads=4, nodes_num=55, data_type="sat", sat_clauses_nums=5, sat_vars_num=5 + # re-download lkh + _test_tsp_lkh_generator( + num_threads=4, nodes_num=50, data_type="uniform", + regret=False, re_download=True ) - # threads - _test_atsp_lkh_generator( - num_threads=1, nodes_num=55, data_type="sat", sat_clauses_nums=5, sat_vars_num=5 + # regret & threads + _test_tsp_lkh_generator( + num_threads=1, nodes_num=10, data_type="uniform", regret=True ) - # hcp - _test_atsp_lkh_generator( - num_threads=4, nodes_num=50, data_type="hcp" + _test_tsp_lkh_generator( + num_threads=4, nodes_num=10, data_type="uniform", regret=True ) - # uniform - _test_atsp_lkh_generator( + # concorde + _test_tsp_concorde_generator( + num_threads=4, nodes_num=50, data_type="uniform", + recompile_concorde=True + ) + # ga-eax + _test_tsp_ga_eax_generator( num_threads=4, nodes_num=50, data_type="uniform" ) - + # ga-eax-large + _test_tsp_ga_eax_large_generator( + num_threads=1, nodes_num=1000, data_type="uniform" + ) + # gaussian & cluster + _test_tsp_concorde_generator( + num_threads=4, nodes_num=50, data_type="gaussian" + ) + _test_tsp_concorde_generator( + num_threads=4, nodes_num=50, data_type="cluster" + ) + ############################################## # MAIN # @@ -452,7 +597,10 @@ def test_atsp(): if __name__ == "__main__": test_tsp() + test_mc() + test_mcl() test_mis() + test_mvc() test_cvrp() test_atsp() shutil.rmtree("tmp") diff --git a/tests/test_solver.py b/tests/test_solver.py index 9dea237..9d5cd7f 100644 --- a/tests/test_solver.py +++ b/tests/test_solver.py @@ -2,135 +2,161 @@ import sys root_folder = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(root_folder) - import shutil -from ml4co_kit.solver import ( - TSPSolver, TSPLKHSolver, TSPConcordeSolver, TSPGAEAXSolver, - TSPGAEAXLargeSolver, MISSolver, KaMISSolver, CVRPSolver, CVRPPyVRPSolver, - CVRPLKHSolver, CVRPHGSSolver, ATSPSolver, ATSPLKHSolver -) +from ml4co_kit.solver import * from ml4co_kit.utils.mis_utils import cnf_folder_to_gpickle_folder +GUROBI_LICENCE = "/home/majiale/gurobi.lic" +GUROBI_TEST = True + ############################################## -# Test Func For TSP # +# Test Func For ATSP # ############################################## -def test_tsp_base_solver(): - solver = TSPSolver() - solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=False) - os.remove("tests/data_for_tests/solver/tsp/tsp50.txt") +def test_atsp_base_solver(): + solver = ATSPSolver() + solver.from_txt("tests/data_for_tests/solver/atsp/atsp50.txt") + os.remove("tests/data_for_tests/solver/atsp/atsp50.txt") solver.to_tsplib_folder( - tsp_save_dir="tests/data_for_tests/solver/tsp/tsp50_tsplib_instance", - tsp_filename="tsp50", - tour_save_dir="tests/data_for_tests/solver/tsp/tsp50_tsplib_solution", - tour_filename="tsp50", + atsp_save_dir="tests/data_for_tests/solver/atsp/atsp50_tsplib_instance", + atsp_filename="atsp50", + tour_save_dir="tests/data_for_tests/solver/atsp/atsp50_tsplib_solution", + tour_filename="atsp50", apply_scale=True, to_int=True, show_time=True ) - shutil.rmtree("tests/data_for_tests/solver/tsp/tsp50_tsplib_instance") - shutil.rmtree("tests/data_for_tests/solver/tsp/tsp50_tsplib_solution") + shutil.rmtree("tests/data_for_tests/solver/atsp/atsp50_tsplib_instance") + shutil.rmtree("tests/data_for_tests/solver/atsp/atsp50_tsplib_solution") solver.to_txt( - filename="tests/data_for_tests/solver/tsp/tsp50.txt", + filename="tests/data_for_tests/solver/atsp/atsp50.txt", apply_scale=False, to_int=False, ) - - -def _test_tsp_lkh_solver(show_time: bool, num_threads: int): - tsp_lkh_solver = TSPLKHSolver(lkh_max_trials=100) - tsp_lkh_solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=True) - tsp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = tsp_lkh_solver.evaluate(calculate_gap=True) - print(f"TSPLKHSolver Gap: {gap_avg}") - if gap_avg >= 1e-2: + + +def _test_atsp_lkh_solver(show_time: bool, num_threads: int): + atsp_lkh_solver = ATSPLKHSolver(lkh_max_trials=500) + atsp_lkh_solver.from_txt("tests/data_for_tests/solver/atsp/atsp50.txt", ref=True) + atsp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = atsp_lkh_solver.evaluate(calculate_gap=True) + print(f"ATSPLKHSolver Gap: {gap_avg}") + if gap_avg >= 1e-4: message = ( - f"The average gap ({gap_avg}) of TSP50 solved by TSPLKHSolver " - "is larger than or equal to 1e-2%." + f"The average gap ({gap_avg}) of ATSP50 solved by ATSPLKHSolver " + "is larger than or equal to 1e-4%." ) raise ValueError(message) -def test_tsp_lkh_solver(): - _test_tsp_lkh_solver(True, 1) - _test_tsp_lkh_solver(True, 2) - _test_tsp_lkh_solver(False, 1) - _test_tsp_lkh_solver(False, 2) +def test_atsp_lkh_solver(): + _test_atsp_lkh_solver(True, 1) + _test_atsp_lkh_solver(True, 2) + _test_atsp_lkh_solver(False, 1) + _test_atsp_lkh_solver(False, 2) + +def test_atsp(): + """ + Test ATSPSolver + """ + test_atsp_base_solver() + test_atsp_lkh_solver() -def _test_tsp_concorde_solver(show_time: bool, num_threads: int): - tsp_lkh_solver = TSPConcordeSolver() - tsp_lkh_solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=True) - tsp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = tsp_lkh_solver.evaluate(calculate_gap=True) - print(f"TSPConcordeSolver Gap: {gap_avg}") - if gap_avg >= 1e-3: + +############################################## +# Test Func For CVRP # +############################################## + +def test_cvrp_base_solver(): + solver = CVRPSolver() + solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=False) + os.remove("tests/data_for_tests/solver/cvrp/cvrp50.txt") + solver.to_vrplib_folder( + vrp_save_dir="tests/data_for_tests/solver/cvrp/cvrp50_vrplib_instance", + vrp_filename="cvrp50", + sol_save_dir="tests/data_for_tests/solver/cvrp/cvrp50_vrplib_solution", + sol_filename="cvrp50", + apply_scale=True, + to_int=True, + ) + shutil.rmtree("tests/data_for_tests/solver/cvrp/cvrp50_vrplib_instance") + shutil.rmtree("tests/data_for_tests/solver/cvrp/cvrp50_vrplib_solution") + solver.to_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt") + + +def _test_cvrp_hgs_solver(show_time: bool, num_threads: int): + cvrp_hgs_solver = CVRPHGSSolver(time_limit=0.5) + cvrp_hgs_solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=True) + cvrp_hgs_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = cvrp_hgs_solver.evaluate(calculate_gap=True) + print(f"CVRPHGSSolver Gap: {gap_avg}") + if gap_avg >= 1e-4: message = ( - f"The average gap ({gap_avg}) of TSP50 solved by TSPConcordeSolver " - "is larger than or equal to 1e-3%." + f"The average gap ({gap_avg}) of CVRP50 solved by CVRPHGSSolver " + "is larger than or equal to 1e-4%." ) raise ValueError(message) -def test_tsp_concorde_solver(): - _test_tsp_concorde_solver(True, 1) - _test_tsp_concorde_solver(True, 2) - _test_tsp_concorde_solver(False, 1) - _test_tsp_concorde_solver(False, 2) +def test_cvrp_hgs_solver(): + _test_cvrp_hgs_solver(True, 1) + _test_cvrp_hgs_solver(True, 2) + _test_cvrp_hgs_solver(False, 1) + _test_cvrp_hgs_solver(False, 2) -def _test_tsp_ga_eax_solver(show_time: bool, num_threads: int): - tsp_ga_eax_solver = TSPGAEAXSolver() - tsp_ga_eax_solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=True) - tsp_ga_eax_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = tsp_ga_eax_solver.evaluate(calculate_gap=True) - print(f"TSPGAEAXSolver Gap: {gap_avg}") +def _test_cvrp_lkh_solver(show_time: bool, num_threads: int): + cvrp_lkh_solver = CVRPLKHSolver(lkh_max_trials=500, lkh_runs=10) + cvrp_lkh_solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=True) + cvrp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = cvrp_lkh_solver.evaluate(calculate_gap=True) + print(f"CVRPLKHSolver Gap: {gap_avg}") if gap_avg >= 1e-3: message = ( - f"The average gap ({gap_avg}) of TSP50 solved by TSPGAEAXSolver " + f"The average gap ({gap_avg}) of CVRP50 solved by CVRPLKHSolver " "is larger than or equal to 1e-3%." ) raise ValueError(message) - -def test_tsp_ga_eax_solver(): - _test_tsp_ga_eax_solver(True, 1) - _test_tsp_ga_eax_solver(True, 2) - _test_tsp_ga_eax_solver(False, 1) - _test_tsp_ga_eax_solver(False, 2) +def test_cvrp_lkh_solver(): + _test_cvrp_lkh_solver(True, 1) + _test_cvrp_lkh_solver(True, 2) + _test_cvrp_lkh_solver(False, 1) + _test_cvrp_lkh_solver(False, 2) -def _test_tsp_ga_eax_large_solver(show_time: bool, num_threads: int): - tsp_ga_eax_large_solver = TSPGAEAXLargeSolver() - tsp_ga_eax_large_solver.from_txt("tests/data_for_tests/solver/tsp/tsp1000.txt", ref=True) - tsp_ga_eax_large_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = tsp_ga_eax_large_solver.evaluate(calculate_gap=True) - print(f"TSPGAEAXLargeSolver Gap: {gap_avg}") - if gap_avg >= 5e-2: + +def _test_cvrp_pyvrp_solver(show_time: bool, num_threads: int): + cvrp_pyvrp_solver = CVRPPyVRPSolver(time_limit=5) + cvrp_pyvrp_solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=True) + cvrp_pyvrp_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = cvrp_pyvrp_solver.evaluate(calculate_gap=True) + print(f"CVRPPyVRPSolver Gap: {gap_avg}") + if gap_avg >= 1e-2: message = ( - f"The average gap ({gap_avg}) of TSP1000 solved by TSPGAEAXLargeSolver " - "is larger than or equal to 5e-2%." + f"The average gap ({gap_avg}) of CVRP50 solved by CVRPPyVRPSolver " + "is larger than or equal to 1e-2%." ) raise ValueError(message) -def test_tsp_ga_eax_large_solver(): - _test_tsp_ga_eax_large_solver(True, 1) - _test_tsp_ga_eax_large_solver(True, 2) - _test_tsp_ga_eax_large_solver(False, 1) - _test_tsp_ga_eax_large_solver(False, 2) +def test_cvrp_pyvrp_solver(): + _test_cvrp_pyvrp_solver(True, 1) + _test_cvrp_pyvrp_solver(True, 2) + _test_cvrp_pyvrp_solver(False, 1) + _test_cvrp_pyvrp_solver(False, 2) -def test_tsp(): +def test_cvrp(): """ - Test TSPSolver + Test CVRPSolver """ - test_tsp_base_solver() - test_tsp_lkh_solver() - test_tsp_concorde_solver() - test_tsp_ga_eax_solver() - test_tsp_ga_eax_large_solver() + test_cvrp_base_solver() + test_cvrp_hgs_solver() + test_cvrp_lkh_solver() + test_cvrp_pyvrp_solver() ############################################## @@ -155,6 +181,30 @@ def test_mis_base_solver(): raise ValueError("There is a problem between txt input and read in") +def _test_mis_gurobi_solver(show_time: bool, num_threads: int): + gurobi_solver = MISGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) + gurobi_solver.from_txt( + file_path="tests/data_for_tests/solver/mis/mis_example.txt", + ref=True, cover=True + ) + gurobi_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = gurobi_solver.evaluate(calculate_gap=True) + print(f"MISGurobiSolver Gap: {gap_avg}") + if gap_avg >= 1e-2: + message = ( + f"The average gap ({gap_avg}) of MIS solved by MISGurobiSolver " + "is larger than or equal to 1e-2%." + ) + raise ValueError(message) + + +def test_mis_gurobi_solver(): + _test_mis_gurobi_solver(True, 1) + _test_mis_gurobi_solver(True, 2) + _test_mis_gurobi_solver(False, 1) + _test_mis_gurobi_solver(False, 2) + + def test_mis_kamis_solver(): cnf_folder_to_gpickle_folder( cnf_folder="tests/data_for_tests/solver/mis/mis_example_cnf/cnf", @@ -183,164 +233,326 @@ def test_mis(): Test MISSolver """ test_mis_base_solver() + if GUROBI_TEST: + test_mis_gurobi_solver() test_mis_kamis_solver() ############################################## -# Test Func For CVRP # +# Test Func For MCl # ############################################## -def test_cvrp_base_solver(): - solver = CVRPSolver() - solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=False) - os.remove("tests/data_for_tests/solver/cvrp/cvrp50.txt") - solver.to_vrplib_folder( - vrp_save_dir="tests/data_for_tests/solver/cvrp/cvrp50_vrplib_instance", - vrp_filename="cvrp50", - sol_save_dir="tests/data_for_tests/solver/cvrp/cvrp50_vrplib_solution", - sol_filename="cvrp50", - apply_scale=True, - to_int=True, +def _test_mc_gurobi_solver(show_time: bool, num_threads: int): + gurobi_solver = MCGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) + gurobi_solver.from_txt( + file_path="tests/data_for_tests/solver/mc/mc_example.txt", + ref=True, cover=True ) - shutil.rmtree("tests/data_for_tests/solver/cvrp/cvrp50_vrplib_instance") - shutil.rmtree("tests/data_for_tests/solver/cvrp/cvrp50_vrplib_solution") - solver.to_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt") + gurobi_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = gurobi_solver.evaluate(calculate_gap=True) + print(f"MCGurobiSolver Gap: {gap_avg}") + if gap_avg >= 1e-2: + message = ( + f"The average gap ({gap_avg}) of MC solved by MCGurobiSolver " + "is larger than or equal to 1e-2%." + ) + raise ValueError(message) -def _test_cvrp_pyvrp_solver(show_time: bool, num_threads: int): - cvrp_pyvrp_solver = CVRPPyVRPSolver(time_limit=5) - cvrp_pyvrp_solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=True) - cvrp_pyvrp_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = cvrp_pyvrp_solver.evaluate(calculate_gap=True) - print(f"CVRPPyVRPSolver Gap: {gap_avg}") +def test_mc_gurobi_solver(): + _test_mc_gurobi_solver(True, 1) + _test_mc_gurobi_solver(True, 2) + _test_mc_gurobi_solver(False, 1) + _test_mc_gurobi_solver(False, 2) + + +def test_mc(): + """ + Test MCSolver + """ + if GUROBI_TEST: + test_mc_gurobi_solver() + +############################################## +# Test Func For MCl # +############################################## + +def _test_mcl_gurobi_solver(show_time: bool, num_threads: int): + gurobi_solver = MClGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) + gurobi_solver.from_txt( + file_path="tests/data_for_tests/solver/mcl/mcl_example.txt", + ref=True, cover=True + ) + gurobi_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = gurobi_solver.evaluate(calculate_gap=True) + print(f"MClGurobiSolver Gap: {gap_avg}") if gap_avg >= 1e-2: message = ( - f"The average gap ({gap_avg}) of CVRP50 solved by CVRPPyVRPSolver " + f"The average gap ({gap_avg}) of MCl solved by MClGurobiSolver " "is larger than or equal to 1e-2%." ) raise ValueError(message) -def test_cvrp_pyvrp_solver(): - _test_cvrp_pyvrp_solver(True, 1) - _test_cvrp_pyvrp_solver(True, 2) - _test_cvrp_pyvrp_solver(False, 1) - _test_cvrp_pyvrp_solver(False, 2) +def test_mcl_gurobi_solver(): + _test_mcl_gurobi_solver(True, 1) + _test_mcl_gurobi_solver(True, 2) + _test_mcl_gurobi_solver(False, 1) + _test_mcl_gurobi_solver(False, 2) -def _test_cvrp_lkh_solver(show_time: bool, num_threads: int): - cvrp_lkh_solver = CVRPLKHSolver(lkh_max_trials=500, lkh_runs=10) - cvrp_lkh_solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=True) - cvrp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = cvrp_lkh_solver.evaluate(calculate_gap=True) - print(f"CVRPLKHSolver Gap: {gap_avg}") - if gap_avg >= 1e-3: +def test_mcl(): + """ + Test MClSolver + """ + if GUROBI_TEST: + test_mcl_gurobi_solver() + + +############################################## +# Test Func For MIS # +############################################## + +def test_mvc_base_solver(): + solver = MISSolver() + solver.from_gpickle_result_folder( + gpickle_folder_path="tests/data_for_tests/solver/mis/mis_example/instance", + result_folder_path="tests/data_for_tests/solver/mis/mis_example/solution", + ref=False, cover=True + ) + solver.to_txt("tests/data_for_tests/solver/mis/mis_example.txt") + solver.set_solution_as_ref() + solver.from_txt( + file_path="tests/data_for_tests/solver/mis/mis_example.txt", + ref=False, cover=False + ) + gap_avg = solver.evaluate(calculate_gap=True)[2] + if gap_avg > 1e-14: + raise ValueError("There is a problem between txt input and read in") + + +def _test_mis_gurobi_solver(show_time: bool, num_threads: int): + gurobi_solver = MISGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) + gurobi_solver.from_txt( + file_path="tests/data_for_tests/solver/mis/mis_example.txt", + ref=True, cover=True + ) + gurobi_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = gurobi_solver.evaluate(calculate_gap=True) + print(f"MISGurobiSolver Gap: {gap_avg}") + if gap_avg >= 1e-2: message = ( - f"The average gap ({gap_avg}) of CVRP50 solved by CVRPLKHSolver " - "is larger than or equal to 1e-3%." + f"The average gap ({gap_avg}) of MIS solved by MISGurobiSolver " + "is larger than or equal to 1e-2%." ) raise ValueError(message) -def test_cvrp_lkh_solver(): - _test_cvrp_lkh_solver(True, 1) - _test_cvrp_lkh_solver(True, 2) - _test_cvrp_lkh_solver(False, 1) - _test_cvrp_lkh_solver(False, 2) +def test_mis_gurobi_solver(): + _test_mis_gurobi_solver(True, 1) + _test_mis_gurobi_solver(True, 2) + _test_mis_gurobi_solver(False, 1) + _test_mis_gurobi_solver(False, 2) + + +def test_mis_kamis_solver(): + cnf_folder_to_gpickle_folder( + cnf_folder="tests/data_for_tests/solver/mis/mis_example_cnf/cnf", + gpickle_foler="tests/data_for_tests/solver/mis/mis_example_cnf/mis" + ) + kamis_solver = KaMISSolver(time_limit=10) + kamis_solver.solve( + src="tests/data_for_tests/solver/mis/mis_example_cnf/mis/instance", + out="tests/data_for_tests/solver/mis/mis_example_cnf/mis/solution" + ) + kamis_solver.from_txt_only_sel_nodes_num( + "tests/data_for_tests/solver/mis/mis_example_cnf/mis/ref_solution.txt", ref=True + ) + gap_avg = kamis_solver.evaluate(calculate_gap=True)[2] + print(f"KaMISSolver Gap: {gap_avg}") + if gap_avg >= 0.1: + message = ( + f"The average gap ({gap_avg}) of MIS solved by KaMISSolver " + "is larger than or equal to 0.1%." + ) + raise ValueError(message) -def _test_cvrp_hgs_solver(show_time: bool, num_threads: int): - cvrp_hgs_solver = CVRPHGSSolver(time_limit=0.5) - cvrp_hgs_solver.from_txt("tests/data_for_tests/solver/cvrp/cvrp50.txt", ref=True) - cvrp_hgs_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = cvrp_hgs_solver.evaluate(calculate_gap=True) - print(f"CVRPHGSSolver Gap: {gap_avg}") - if gap_avg >= 1e-4: +def test_mis(): + """ + Test MISSolver + """ + test_mis_base_solver() + if GUROBI_TEST: + test_mis_gurobi_solver() + test_mis_kamis_solver() + + +############################################## +# Test Func For MVC # +############################################## + +def _test_mvc_gurobi_solver(show_time: bool, num_threads: int): + gurobi_solver = MVCGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) + gurobi_solver.from_txt( + file_path="tests/data_for_tests/solver/mvc/mvc_example.txt", + ref=True, cover=True + ) + gurobi_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = gurobi_solver.evaluate(calculate_gap=True) + print(f"MVCGurobiSolver Gap: {gap_avg}") + if gap_avg >= 1e-2: message = ( - f"The average gap ({gap_avg}) of CVRP50 solved by CVRPHGSSolver " - "is larger than or equal to 1e-4%." + f"The average gap ({gap_avg}) of MVC solved by MVCGurobiSolver " + "is larger than or equal to 1e-2%." ) raise ValueError(message) -def test_cvrp_hgs_solver(): - _test_cvrp_hgs_solver(True, 1) - _test_cvrp_hgs_solver(True, 2) - _test_cvrp_hgs_solver(False, 1) - _test_cvrp_hgs_solver(False, 2) +def test_mvc_gurobi_solver(): + _test_mvc_gurobi_solver(True, 1) + _test_mvc_gurobi_solver(True, 2) + _test_mvc_gurobi_solver(False, 1) + _test_mvc_gurobi_solver(False, 2) -def test_cvrp(): +def test_mvc(): """ - Test CVRPSolver + Test MVCSolver """ - test_cvrp_base_solver() - test_cvrp_pyvrp_solver() - test_cvrp_lkh_solver() - test_cvrp_hgs_solver() - + if GUROBI_TEST: + test_mvc_gurobi_solver() + ############################################## # Test Func For TSP # ############################################## -def test_atsp_base_solver(): - solver = ATSPSolver() - solver.from_txt("tests/data_for_tests/solver/atsp/atsp50.txt") - os.remove("tests/data_for_tests/solver/atsp/atsp50.txt") +def test_tsp_base_solver(): + solver = TSPSolver() + solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=False) + os.remove("tests/data_for_tests/solver/tsp/tsp50.txt") solver.to_tsplib_folder( - atsp_save_dir="tests/data_for_tests/solver/atsp/atsp50_tsplib_instance", - atsp_filename="atsp50", - tour_save_dir="tests/data_for_tests/solver/atsp/atsp50_tsplib_solution", - tour_filename="atsp50", + tsp_save_dir="tests/data_for_tests/solver/tsp/tsp50_tsplib_instance", + tsp_filename="tsp50", + tour_save_dir="tests/data_for_tests/solver/tsp/tsp50_tsplib_solution", + tour_filename="tsp50", apply_scale=True, to_int=True, show_time=True ) - shutil.rmtree("tests/data_for_tests/solver/atsp/atsp50_tsplib_instance") - shutil.rmtree("tests/data_for_tests/solver/atsp/atsp50_tsplib_solution") + shutil.rmtree("tests/data_for_tests/solver/tsp/tsp50_tsplib_instance") + shutil.rmtree("tests/data_for_tests/solver/tsp/tsp50_tsplib_solution") solver.to_txt( - filename="tests/data_for_tests/solver/atsp/atsp50.txt", + filename="tests/data_for_tests/solver/tsp/tsp50.txt", apply_scale=False, to_int=False, ) - -def _test_atsp_lkh_solver(show_time: bool, num_threads: int): - atsp_lkh_solver = ATSPLKHSolver(lkh_max_trials=500) - atsp_lkh_solver.from_txt("tests/data_for_tests/solver/atsp/atsp50.txt", ref=True) - atsp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) - _, _, gap_avg, _ = atsp_lkh_solver.evaluate(calculate_gap=True) - print(f"ATSPLKHSolver Gap: {gap_avg}") - if gap_avg >= 1e-4: + +def _test_tsp_concorde_solver(show_time: bool, num_threads: int): + tsp_lkh_solver = TSPConcordeSolver() + tsp_lkh_solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=True) + tsp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = tsp_lkh_solver.evaluate(calculate_gap=True) + print(f"TSPConcordeSolver Gap: {gap_avg}") + if gap_avg >= 1e-3: message = ( - f"The average gap ({gap_avg}) of ATSP50 solved by ATSPLKHSolver " - "is larger than or equal to 1e-4%." + f"The average gap ({gap_avg}) of TSP50 solved by TSPConcordeSolver " + "is larger than or equal to 1e-3%." ) raise ValueError(message) -def test_atsp_lkh_solver(): - _test_atsp_lkh_solver(True, 1) - _test_atsp_lkh_solver(True, 2) - _test_atsp_lkh_solver(False, 1) - _test_atsp_lkh_solver(False, 2) - +def test_tsp_concorde_solver(): + _test_tsp_concorde_solver(True, 1) + _test_tsp_concorde_solver(True, 2) + _test_tsp_concorde_solver(False, 1) + _test_tsp_concorde_solver(False, 2) + + +def _test_tsp_ga_eax_solver(show_time: bool, num_threads: int): + tsp_ga_eax_solver = TSPGAEAXSolver() + tsp_ga_eax_solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=True) + tsp_ga_eax_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = tsp_ga_eax_solver.evaluate(calculate_gap=True) + print(f"TSPGAEAXSolver Gap: {gap_avg}") + if gap_avg >= 1e-3: + message = ( + f"The average gap ({gap_avg}) of TSP50 solved by TSPGAEAXSolver " + "is larger than or equal to 1e-3%." + ) + raise ValueError(message) -def test_atsp(): + +def test_tsp_ga_eax_solver(): + _test_tsp_ga_eax_solver(True, 1) + _test_tsp_ga_eax_solver(True, 2) + _test_tsp_ga_eax_solver(False, 1) + _test_tsp_ga_eax_solver(False, 2) + + +def _test_tsp_ga_eax_large_solver(show_time: bool, num_threads: int): + tsp_ga_eax_large_solver = TSPGAEAXLargeSolver() + tsp_ga_eax_large_solver.from_txt("tests/data_for_tests/solver/tsp/tsp1000.txt", ref=True) + tsp_ga_eax_large_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = tsp_ga_eax_large_solver.evaluate(calculate_gap=True) + print(f"TSPGAEAXLargeSolver Gap: {gap_avg}") + if gap_avg >= 5e-2: + message = ( + f"The average gap ({gap_avg}) of TSP1000 solved by TSPGAEAXLargeSolver " + "is larger than or equal to 5e-2%." + ) + raise ValueError(message) + + +def test_tsp_ga_eax_large_solver(): + _test_tsp_ga_eax_large_solver(True, 1) + _test_tsp_ga_eax_large_solver(True, 2) + _test_tsp_ga_eax_large_solver(False, 1) + _test_tsp_ga_eax_large_solver(False, 2) + + +def _test_tsp_lkh_solver(show_time: bool, num_threads: int): + tsp_lkh_solver = TSPLKHSolver(lkh_max_trials=100) + tsp_lkh_solver.from_txt("tests/data_for_tests/solver/tsp/tsp50.txt", ref=True) + tsp_lkh_solver.solve(show_time=show_time, num_threads=num_threads) + _, _, gap_avg, _ = tsp_lkh_solver.evaluate(calculate_gap=True) + print(f"TSPLKHSolver Gap: {gap_avg}") + if gap_avg >= 1e-2: + message = ( + f"The average gap ({gap_avg}) of TSP50 solved by TSPLKHSolver " + "is larger than or equal to 1e-2%." + ) + raise ValueError(message) + + +def test_tsp_lkh_solver(): + _test_tsp_lkh_solver(True, 1) + _test_tsp_lkh_solver(True, 2) + _test_tsp_lkh_solver(False, 1) + _test_tsp_lkh_solver(False, 2) + + +def test_tsp(): """ - Test ATSPSolver + Test TSPSolver """ - test_atsp_base_solver() - test_atsp_lkh_solver() + test_tsp_base_solver() + test_tsp_concorde_solver() + test_tsp_ga_eax_solver() + test_tsp_ga_eax_large_solver() + test_tsp_lkh_solver() - ############################################## # MAIN # ############################################## if __name__ == "__main__": test_tsp() + test_mc() + test_mcl() test_mis() + test_mvc() test_cvrp() test_atsp() From 3b6da0845da53f0b4d4a0eba5e3b9c25e5d95d41 Mon Sep 17 00:00:00 2001 From: heatingma Date: Tue, 29 Oct 2024 02:42:13 +0800 Subject: [PATCH 4/9] delete tmp files --- LKH-3.0.7.tgz6jzle0xx.tmp | Bin 1916928 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 LKH-3.0.7.tgz6jzle0xx.tmp diff --git a/LKH-3.0.7.tgz6jzle0xx.tmp b/LKH-3.0.7.tgz6jzle0xx.tmp deleted file mode 100644 index 2412b4d9e7e236ecf832f01bc04aa4cf13f59516..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1916928 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Subject: [PATCH 5/9] Add gurobipy>=11.0.3 --- README.md | 1 + publish/requirements.txt | 3 ++- setup.py | 1 + tests/requirements.txt | 3 ++- 4 files changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1d0b155..a9f83b4 100644 --- a/README.md +++ b/README.md @@ -57,6 +57,7 @@ requests>=2.31.0 async_timeout>=4.0.3 pyvrp>=0.6.3 cython>=3.0.8 +gurobipy>=11.0.3 ``` To ensure you have access to all functions, such as visualization, you'll need to install the following packages using `pip`: diff --git a/publish/requirements.txt b/publish/requirements.txt index 135fd10..13eb2da 100644 --- a/publish/requirements.txt +++ b/publish/requirements.txt @@ -13,4 +13,5 @@ requests>=2.31.0 aiohttp>=3.9.3 async_timeout>=4.0.3 matplotlib>=3.7.5 -pyvrp>=0.6.3 \ No newline at end of file +pyvrp>=0.6.3 +gurobipy>=11.0.3 \ No newline at end of file diff --git a/setup.py b/setup.py index 199bacf..2ac1523 100644 --- a/setup.py +++ b/setup.py @@ -43,6 +43,7 @@ def get_property(prop, project): "async_timeout>=4.0.3", "pyvrp>=0.6.3", "cython>=3.0.8", + "gurobipy>=11.0.3" ] EXTRAS = {} diff --git a/tests/requirements.txt b/tests/requirements.txt index 4f309c4..5379bec 100644 --- a/tests/requirements.txt +++ b/tests/requirements.txt @@ -11,4 +11,5 @@ requests>=2.31.0 aiohttp>=3.9.3 matplotlib>=3.7.0 async_timeout>=4.0.3 -pyvrp>=0.6.3 \ No newline at end of file +pyvrp>=0.6.3 +gurobipy>=11.0.3 \ No newline at end of file From c44b6a85f3e9f640ca43dc5b42063a1db739dd13 Mon Sep 17 00:00:00 2001 From: heatingma Date: Tue, 29 Oct 2024 14:19:36 +0800 Subject: [PATCH 6/9] no testing gurobi --- tests/test_solver.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_solver.py b/tests/test_solver.py index 9d5cd7f..e0dbef7 100644 --- a/tests/test_solver.py +++ b/tests/test_solver.py @@ -6,8 +6,8 @@ from ml4co_kit.solver import * from ml4co_kit.utils.mis_utils import cnf_folder_to_gpickle_folder -GUROBI_LICENCE = "/home/majiale/gurobi.lic" -GUROBI_TEST = True +GUROBI_LICENCE = "your gurobi licence" +GUROBI_TEST = False ############################################## From 07b14f874f667fc1009c86b5431d79d89f49fc09 Mon Sep 17 00:00:00 2001 From: heatingma Date: Tue, 29 Oct 2024 14:19:59 +0800 Subject: [PATCH 7/9] no testing gurobi --- tests/test_generator.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/tests/test_generator.py b/tests/test_generator.py index 6f62d39..74acd04 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -5,9 +5,8 @@ import shutil from ml4co_kit import * - -GUROBI_LICENCE = "/home/majiale/gurobi.lic" -GUROBI_TEST = True +GUROBI_LICENCE = "your gurobi licence" +GUROBI_TEST = False ############################################## From 566bf5b173ae5e61f9dd5d6177ba15331f96c428 Mon Sep 17 00:00:00 2001 From: heatingma Date: Tue, 29 Oct 2024 15:03:39 +0800 Subject: [PATCH 8/9] fix bugs with gurobi and SOLVER_TYPE --- ml4co_kit/generator/atsp_data.py | 5 ++-- ml4co_kit/generator/cvrp_data.py | 9 +++--- ml4co_kit/generator/mc_data.py | 15 ++++++++-- ml4co_kit/generator/mcl_data.py | 13 ++++++++- ml4co_kit/generator/mis_data.py | 12 +++++++- ml4co_kit/generator/mvc_data.py | 12 +++++++- ml4co_kit/generator/tsp_data.py | 16 ++++++----- tests/test_generator.py | 48 +++++++++++++++++++------------- tests/test_solver.py | 23 ++++++++------- 9 files changed, 105 insertions(+), 48 deletions(-) diff --git a/ml4co_kit/generator/atsp_data.py b/ml4co_kit/generator/atsp_data.py index 91201c0..0b9ac40 100644 --- a/ml4co_kit/generator/atsp_data.py +++ b/ml4co_kit/generator/atsp_data.py @@ -102,7 +102,7 @@ def check_data_type(self): def check_solver(self): # get solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { SOLVER_TYPE.LKH: ATSPLKHSolver @@ -118,9 +118,10 @@ def check_solver(self): else: self.solver: ATSPSolver self.solver_type = self.solver.solver_type + # check solver check_solver_dict = { - "LKH": self.check_lkh + SOLVER_TYPE.LKH: self.check_lkh } check_func = check_solver_dict[self.solver_type] check_func() diff --git a/ml4co_kit/generator/cvrp_data.py b/ml4co_kit/generator/cvrp_data.py index edb926f..6726bbd 100644 --- a/ml4co_kit/generator/cvrp_data.py +++ b/ml4co_kit/generator/cvrp_data.py @@ -113,7 +113,7 @@ def check_data_type(self): def check_solver(self): # get solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { SOLVER_TYPE.HGS: CVRPHGSSolver, @@ -131,11 +131,12 @@ def check_solver(self): else: self.solver: CVRPSolver self.solver_type = self.solver.solver_type + # check solver check_solver_dict = { - "PyVRP": self.check_free, - "LKH": self.check_lkh, - "HGS": self.check_free + SOLVER_TYPE.HGS: self.check_free, + SOLVER_TYPE.LKH: self.check_lkh, + SOLVER_TYPE.PYVRP: self.check_free, } check_func = check_solver_dict[self.solver_type] check_func() diff --git a/ml4co_kit/generator/mc_data.py b/ml4co_kit/generator/mc_data.py index 89d210e..eb97c18 100644 --- a/ml4co_kit/generator/mc_data.py +++ b/ml4co_kit/generator/mc_data.py @@ -164,7 +164,7 @@ def get_filename(self): def check_solver(self): # check solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { SOLVER_TYPE.GUROBI: MCGurobiSolver @@ -180,11 +180,22 @@ def check_solver(self): else: self.solver: MCSolver self.solver_type = self.solver.solver_type + + # check solver + check_solver_dict = { + SOLVER_TYPE.GUROBI: self.check_free, + } + check_func = check_solver_dict[self.solver_type] + check_func() + # check weighted if self.graph_weighted != self.solver.weighted: message = "``graph_weighted`` and ``solver.weighted`` do not match." raise ValueError(message) - + + def check_free(self): + return + def random_weight(self, n, mu=1, sigma=0.1): return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) diff --git a/ml4co_kit/generator/mcl_data.py b/ml4co_kit/generator/mcl_data.py index 16833b6..7ef5d13 100644 --- a/ml4co_kit/generator/mcl_data.py +++ b/ml4co_kit/generator/mcl_data.py @@ -156,7 +156,7 @@ def get_filename(self): def check_solver(self): # check solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { SOLVER_TYPE.GUROBI: MClGurobiSolver @@ -172,11 +172,22 @@ def check_solver(self): else: self.solver: MClSolver self.solver_type = self.solver.solver_type + + # check solver + check_solver_dict = { + SOLVER_TYPE.GUROBI: self.check_free, + } + check_func = check_solver_dict[self.solver_type] + check_func() + # check weighted if self.graph_weighted != self.solver.weighted: message = "``graph_weighted`` and ``solver.weighted`` do not match." raise ValueError(message) + def check_free(self): + return + def random_weight(self, n, mu=1, sigma=0.1): return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) diff --git a/ml4co_kit/generator/mis_data.py b/ml4co_kit/generator/mis_data.py index 7da50b2..d12f660 100644 --- a/ml4co_kit/generator/mis_data.py +++ b/ml4co_kit/generator/mis_data.py @@ -156,7 +156,7 @@ def get_filename(self): def check_solver(self): # check solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { SOLVER_TYPE.KAMIS: KaMISSolver, @@ -174,11 +174,21 @@ def check_solver(self): self.solver: MISSolver self.solver_type = self.solver.solver_type + # check solver + check_solver_dict = { + SOLVER_TYPE.GUROBI: self.check_free, + } + check_func = check_solver_dict[self.solver_type] + check_func() + # check weighted if self.graph_weighted != self.solver.weighted: message = "``graph_weighted`` and ``solver.weighted`` do not match." raise ValueError(message) + def check_free(self): + return + def random_weight(self, n, mu=1, sigma=0.1): return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) diff --git a/ml4co_kit/generator/mvc_data.py b/ml4co_kit/generator/mvc_data.py index 5b8b955..6580b73 100644 --- a/ml4co_kit/generator/mvc_data.py +++ b/ml4co_kit/generator/mvc_data.py @@ -156,7 +156,7 @@ def get_filename(self): def check_solver(self): # check solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { SOLVER_TYPE.GUROBI: MVCGurobiSolver @@ -173,11 +173,21 @@ def check_solver(self): self.solver: MVCSolver self.solver_type = self.solver.solver_type + # check solver + check_solver_dict = { + SOLVER_TYPE.GUROBI: self.check_free, + } + check_func = check_solver_dict[self.solver_type] + check_func() + # check weighted if self.graph_weighted != self.solver.weighted: message = "``graph_weighted`` and ``solver.weighted`` do not match." raise ValueError(message) + def check_free(self): + return + def random_weight(self, n, mu=1, sigma=0.1): return np.around(np.random.normal(mu, sigma, n)).astype(int).clip(min=0) diff --git a/ml4co_kit/generator/tsp_data.py b/ml4co_kit/generator/tsp_data.py index 6ed971b..9e6177c 100644 --- a/ml4co_kit/generator/tsp_data.py +++ b/ml4co_kit/generator/tsp_data.py @@ -8,6 +8,7 @@ from tqdm import tqdm from typing import Union from multiprocessing import Pool +from ml4co_kit.utils.type_utils import SOLVER_TYPE from ml4co_kit.evaluate.tsp.base import TSPEvaluator from ml4co_kit.solver import ( TSPSolver, TSPLKHSolver, TSPConcordeSolver, TSPConcordeLargeSolver, @@ -24,7 +25,7 @@ def __init__( num_threads: int = 1, nodes_num: int = 50, data_type: str = "uniform", - solver: Union[str, TSPSolver] = "LKH", + solver: Union[SOLVER_TYPE, TSPSolver] = SOLVER_TYPE.LKH, train_samples_num: int = 128000, val_samples_num: int = 1280, test_samples_num: int = 1280, @@ -128,7 +129,7 @@ def check_data_type(self): def check_solver(self): # get solver - if type(self.solver) == str: + if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { "LKH": TSPLKHSolver, @@ -148,13 +149,14 @@ def check_solver(self): else: self.solver: TSPSolver self.solver_type = self.solver.solver_type + # check solver check_solver_dict = { - "LKH": self.check_lkh, - "Concorde": self.check_concorde, - "Concorde-Large": self.check_concorde, - "GA-EAX": self.check_free, - "GA-EAX-Large": self.check_free + SOLVER_TYPE.CONCORDE: self.check_concorde, + SOLVER_TYPE.CONCORDE_LARGE: self.check_concorde, + SOLVER_TYPE.GA_EAX: self.check_free, + SOLVER_TYPE.GA_EAX_LARGE: self.check_free, + SOLVER_TYPE.LKH: self.check_lkh } check_func = check_solver_dict[self.solver_type] check_func() diff --git a/tests/test_generator.py b/tests/test_generator.py index 74acd04..8adf5f2 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -206,6 +206,9 @@ def _test_mc_gurobi( """ Test MCDataGenerator using MCGurobiSolver """ + if not GUROBI_TEST: + return + # save path save_path = f"tmp/mc_{data_type}_gurobi" if not os.path.exists(save_path): @@ -237,11 +240,10 @@ def test_mc(): """ Test MVCDataGenerator """ - if GUROBI_TEST: - _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") - _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") - _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") - _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") ############################################## @@ -254,6 +256,9 @@ def _test_mcl_gurobi( """ Test MClDataGenerator using MClGurobiSolver """ + if not GUROBI_TEST: + return + # save path save_path = f"tmp/mcl_{data_type}_gurobi" if not os.path.exists(save_path): @@ -285,11 +290,10 @@ def test_mcl(): """ Test MCLDataGenerator """ - if GUROBI_TEST: - _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") - _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") - _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") - _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mcl_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") ############################################## @@ -336,6 +340,9 @@ def _test_mis_gurobi( """ Test MISDataGenerator using MISGurobiSolver """ + if not GUROBI_TEST: + return + # save path save_path = f"tmp/mis_{data_type}_gurobi" if not os.path.exists(save_path): @@ -374,11 +381,10 @@ def test_mis(): _test_mis_kamis(nodes_num_min=600, nodes_num_max=700, data_type="hk") _test_mis_kamis(nodes_num_min=600, nodes_num_max=700, data_type="ws") - if GUROBI_TEST: - _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") - _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") - _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") - _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mis_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") ############################################## @@ -391,6 +397,9 @@ def _test_mvc_gurobi( """ Test MVCDataGenerator using MVCGurobiSolver """ + if not GUROBI_TEST: + return + # save path save_path = f"tmp/mvc_{data_type}_gurobi" if not os.path.exists(save_path): @@ -422,11 +431,10 @@ def test_mvc(): """ Test MVCDataGenerator """ - if GUROBI_TEST: - _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") - _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") - _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") - _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="er") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ba") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="hk") + _test_mvc_gurobi(nodes_num_min=600, nodes_num_max=700, data_type="ws") diff --git a/tests/test_solver.py b/tests/test_solver.py index e0dbef7..e362a6f 100644 --- a/tests/test_solver.py +++ b/tests/test_solver.py @@ -233,8 +233,7 @@ def test_mis(): Test MISSolver """ test_mis_base_solver() - if GUROBI_TEST: - test_mis_gurobi_solver() + test_mis_gurobi_solver() test_mis_kamis_solver() @@ -243,6 +242,8 @@ def test_mis(): ############################################## def _test_mc_gurobi_solver(show_time: bool, num_threads: int): + if not GUROBI_TEST: + return gurobi_solver = MCGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) gurobi_solver.from_txt( file_path="tests/data_for_tests/solver/mc/mc_example.txt", @@ -270,14 +271,15 @@ def test_mc(): """ Test MCSolver """ - if GUROBI_TEST: - test_mc_gurobi_solver() + test_mc_gurobi_solver() ############################################## # Test Func For MCl # ############################################## def _test_mcl_gurobi_solver(show_time: bool, num_threads: int): + if not GUROBI_TEST: + return gurobi_solver = MClGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) gurobi_solver.from_txt( file_path="tests/data_for_tests/solver/mcl/mcl_example.txt", @@ -305,8 +307,7 @@ def test_mcl(): """ Test MClSolver """ - if GUROBI_TEST: - test_mcl_gurobi_solver() + test_mcl_gurobi_solver() ############################################## @@ -332,6 +333,8 @@ def test_mvc_base_solver(): def _test_mis_gurobi_solver(show_time: bool, num_threads: int): + if not GUROBI_TEST: + return gurobi_solver = MISGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) gurobi_solver.from_txt( file_path="tests/data_for_tests/solver/mis/mis_example.txt", @@ -383,8 +386,7 @@ def test_mis(): Test MISSolver """ test_mis_base_solver() - if GUROBI_TEST: - test_mis_gurobi_solver() + test_mis_gurobi_solver() test_mis_kamis_solver() @@ -393,6 +395,8 @@ def test_mis(): ############################################## def _test_mvc_gurobi_solver(show_time: bool, num_threads: int): + if not GUROBI_TEST: + return gurobi_solver = MVCGurobiSolver(licence_path=GUROBI_LICENCE, time_limit=1.0) gurobi_solver.from_txt( file_path="tests/data_for_tests/solver/mvc/mvc_example.txt", @@ -420,8 +424,7 @@ def test_mvc(): """ Test MVCSolver """ - if GUROBI_TEST: - test_mvc_gurobi_solver() + test_mvc_gurobi_solver() ############################################## From 119d04aeb49a09b6bea11418763c182599cc233e Mon Sep 17 00:00:00 2001 From: heatingma Date: Tue, 29 Oct 2024 16:02:03 +0800 Subject: [PATCH 9/9] fix bugs --- ml4co_kit/generator/atsp_data.py | 2 +- ml4co_kit/generator/cvrp_data.py | 6 ++--- ml4co_kit/generator/mis_data.py | 5 +++-- ml4co_kit/generator/tsp_data.py | 10 ++++----- tests/test_generator.py | 38 ++++++++++++++++---------------- 5 files changed, 31 insertions(+), 30 deletions(-) diff --git a/ml4co_kit/generator/atsp_data.py b/ml4co_kit/generator/atsp_data.py index 0b9ac40..3d37213 100644 --- a/ml4co_kit/generator/atsp_data.py +++ b/ml4co_kit/generator/atsp_data.py @@ -359,5 +359,5 @@ def generate_uniform(self) -> Union[np.ndarray, np.ndarray]: dist = (dist[:, None, :] + dist[None, :, :].transpose(0, 2, 1)).min(axis=2) if (dist == old_dist).all(): break - dists.append(dist / scaler) + dists.append(dist / scaler) return np.array(dists), None diff --git a/ml4co_kit/generator/cvrp_data.py b/ml4co_kit/generator/cvrp_data.py index 6726bbd..bb4773b 100644 --- a/ml4co_kit/generator/cvrp_data.py +++ b/ml4co_kit/generator/cvrp_data.py @@ -211,10 +211,10 @@ def generate(self): depots=batch_depots_coord, points=batch_nodes_coord, demands=batch_demands, - capacities=batch_capacities, + capacities=batch_capacities.reshape(-1), num_threads=self.num_threads ) - + # write to txt with open(self.file_save_path, "a+") as f: for idx, tour in enumerate(tours): @@ -233,7 +233,7 @@ def generate(self): f.write(" demands " + str(" ").join(str(demand) for demand in demands)) f.write(" capacity " + str(capicity)) f.write(str(" output ")) - f.write(str(" ").join(str(node_idx) for node_idx in tour[0])) + f.write(str(" ").join(str(node_idx) for node_idx in tour)) f.write("\n") f.close() diff --git a/ml4co_kit/generator/mis_data.py b/ml4co_kit/generator/mis_data.py index d12f660..25e0c09 100644 --- a/ml4co_kit/generator/mis_data.py +++ b/ml4co_kit/generator/mis_data.py @@ -159,8 +159,8 @@ def check_solver(self): if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { - SOLVER_TYPE.KAMIS: KaMISSolver, - SOLVER_TYPE.GUROBI: MISGurobiSolver + SOLVER_TYPE.GUROBI: MISGurobiSolver, + SOLVER_TYPE.KAMIS: KaMISSolver } supported_solver_type = supported_solver_dict.keys() if self.solver not in supported_solver_type: @@ -177,6 +177,7 @@ def check_solver(self): # check solver check_solver_dict = { SOLVER_TYPE.GUROBI: self.check_free, + SOLVER_TYPE.KAMIS: self.check_free } check_func = check_solver_dict[self.solver_type] check_func() diff --git a/ml4co_kit/generator/tsp_data.py b/ml4co_kit/generator/tsp_data.py index 9e6177c..6de2bdc 100644 --- a/ml4co_kit/generator/tsp_data.py +++ b/ml4co_kit/generator/tsp_data.py @@ -132,11 +132,11 @@ def check_solver(self): if isinstance(self.solver, SOLVER_TYPE): self.solver_type = self.solver supported_solver_dict = { - "LKH": TSPLKHSolver, - "Concorde": TSPConcordeSolver, - "Concorde-Large": TSPConcordeLargeSolver, - "GA-EAX": TSPGAEAXSolver, - "GA-EAX-Large": TSPGAEAXLargeSolver + SOLVER_TYPE.CONCORDE: TSPConcordeSolver, + SOLVER_TYPE.LKH: TSPLKHSolver, + SOLVER_TYPE.CONCORDE_LARGE: TSPConcordeLargeSolver, + SOLVER_TYPE.GA_EAX: TSPGAEAXSolver, + SOLVER_TYPE.GA_EAX_LARGE: TSPGAEAXLargeSolver } supported_solver_type = supported_solver_dict.keys() if self.solver_type not in supported_solver_type: diff --git a/tests/test_generator.py b/tests/test_generator.py index 8adf5f2..bf90c46 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -14,8 +14,8 @@ ############################################## def _test_atsp_lkh_generator( - num_threads: int, nodes_num: int, data_type: str, - sat_vars_num: int = None, sat_clauses_nums: int = None + num_threads: int, nodes_num: int, data_type: str, sat_vars_num: int = None, + sat_clauses_nums: int = None, re_download: bool = False ): """ Test ATSPDataGenerator using ATSPLKHSolver @@ -26,7 +26,7 @@ def _test_atsp_lkh_generator( os.makedirs(save_path) # create TSPDataGenerator using lkh solver - tsp_data_lkh = ATSPDataGenerator( + atsp_data_lkh = ATSPDataGenerator( num_threads=num_threads, nodes_num=nodes_num, data_type=data_type, @@ -38,9 +38,12 @@ def _test_atsp_lkh_generator( sat_vars_nums=sat_vars_num, sat_clauses_nums=sat_clauses_nums, ) - + + if re_download: + atsp_data_lkh.download_lkh() + # generate data - tsp_data_lkh.generate() + atsp_data_lkh.generate() # remove the save path shutil.rmtree(save_path) @@ -50,6 +53,10 @@ def test_atsp(): """ Test ATSPDataGenerator """ + # uniform + _test_atsp_lkh_generator( + num_threads=4, nodes_num=50, data_type="uniform", re_download=True + ) # sat _test_atsp_lkh_generator( num_threads=4, nodes_num=55, data_type="sat", sat_clauses_nums=5, sat_vars_num=5 @@ -62,10 +69,6 @@ def test_atsp(): _test_atsp_lkh_generator( num_threads=4, nodes_num=50, data_type="hcp" ) - # uniform - _test_atsp_lkh_generator( - num_threads=4, nodes_num=50, data_type="uniform" - ) ############################################## @@ -443,8 +446,7 @@ def test_mvc(): ############################################## def _test_tsp_lkh_generator( - num_threads: int, nodes_num: int, data_type: str, - regret: bool, re_download: bool=False + num_threads: int, nodes_num: int, data_type: str, regret: bool ): """ Test TSPDataGenerator using LKH Solver @@ -465,8 +467,7 @@ def _test_tsp_lkh_generator( save_path=save_path, regret=regret, ) - if re_download: - tsp_data_lkh.download_lkh() + # generate data tsp_data_lkh.generate() # remove the save path @@ -564,10 +565,9 @@ def test_tsp(): """ Test TSPDataGenerator """ - # re-download lkh + # threads _test_tsp_lkh_generator( - num_threads=4, nodes_num=50, data_type="uniform", - regret=False, re_download=True + num_threads=4, nodes_num=50, data_type="uniform", regret=False ) # regret & threads _test_tsp_lkh_generator( @@ -603,11 +603,11 @@ def test_tsp(): ############################################## if __name__ == "__main__": - test_tsp() + test_atsp() + test_cvrp() test_mc() test_mcl() test_mis() test_mvc() - test_cvrp() - test_atsp() + test_tsp() shutil.rmtree("tmp")

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