Pyre Configurationless migration for] [batch:24/112] [shard:6/N]

Reviewed By: connernilsen

Differential Revision: D54439594

fbshipit-source-id: a54df82ef607b2374631925199902f845823e985

kats/compat/compat.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from __future__ import annotations
 
 try:

kats/compat/pandas.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import math
 from typing import Any, Dict, Union
 

kats/compat/sklearn.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from typing import Optional
 
 import numpy as np

kats/compat/statsmodels.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import logging
 from typing import Any, Dict, Optional, Sequence, Tuple, Union
 

kats/consts.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 This module contains some of the key data structures in the Kats library,
 including :class:`TimeSeriesData`, :class:`TimeSeriesChangePoint`, and

kats/data/utils.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """Base I/O code for time series data in Kats
 
 This is a base implementation to load datasets for test and evaluation/benchmarking

kats/detectors/anomaly_postprocessing.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 import logging
 

kats/detectors/bocpd.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 """
 This module contains classes and functions used for implementing

kats/detectors/bocpd_model.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 This file implements the Bayesian Online Changepoint Detection
 algorithm as a DetectorModel, to provide a common interface.

kats/detectors/cusum_detection.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 """
 CUSUM stands for cumulative sum, it is a changepoint detection algorithm.

kats/detectors/cusum_model.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """CUSUMDetectorModel is a wraper of CUSUMDetector to detect multiple change points
 
 Typical usage example:

kats/detectors/detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 Defines the base class for detectors.
 """

kats/detectors/detector_consts.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from __future__ import annotations
 
 from dataclasses import dataclass

kats/detectors/distribution_distance_model.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 import json
 import logging

kats/detectors/dtwcpd.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 This file implements the Dynamic Time Warping (DTW) ChangePoint detector
 algorithm as a DetectorModel, to provide a common interface.

kats/detectors/hourly_ratio_detection.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 import logging
 from typing import Any, List, Optional, Sequence, Tuple, Union

kats/detectors/interval_detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 Conducts an AB test across two concurrent time series. This would be useful
 when an experiment is ran between two versions that are logged over time, and there is an

kats/detectors/meta_learning/exceptions.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from typing import List
 
 

kats/detectors/meta_learning/hpt_tuning.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 MetaDetectHptSelect is a meta learner that predict best hyper parameters of chosen detection algorithm given a time series features
 before predicting, user needs to train the model:

kats/detectors/meta_learning/metalearning_detection_model.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import ast
 import logging
 import math

kats/detectors/meta_learning/synth_metadata_reader.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 This module reads synthetic data from daiquery and preprocess it as data_x=features, data_y=hpt_res for given algorithm
 """

kats/detectors/multivariate_detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 """
 This module implements the multivariate Outlier Detection algorithm as a Detector Model.

kats/detectors/outlier.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 Module with generic outlier detection models. Supports a univariate algorithm that
 treates each metric separately to identify outliers and a multivariate detection

kats/detectors/outlier_detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 """
 This module implements the univariate Outlier Detection algorithm as a Detector Model.

kats/detectors/prophet_detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 This module contains code to implement the Prophet algorithm
 as a Detector Model.

kats/detectors/residual_translation.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
 Detectors based on predictors, basically work as follows:
 calculate the residual (i.e., difference between predicted and current value),

kats/detectors/robust_stat_detection.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import logging
 from typing import Any, Optional, Sequence
 

kats/detectors/rolling_stats_model.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 import json
 import logging

kats/detectors/seasonality.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """This module is for seasonality detection.
 
 We provide two seasonality detector: ACFDetector and FFTDetector. ACFDetector uses

kats/detectors/stat_sig_detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import json
 import logging
 from datetime import datetime

kats/detectors/threshold_detector.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from typing import Any, Optional
 
 import numpy as np

kats/detectors/trend_mk.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from __future__ import annotations
 
 import logging

kats/evaluation/evaluator.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
 from typing import Callable, Dict, Optional, Sequence, Type, Union

kats/graphics/plots.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 # Utility functions for plotting
 
 from typing import List

kats/metrics/metadata.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 from dataclasses import dataclass
 from enum import Enum, IntEnum
 from functools import lru_cache

kats/metrics/metrics.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import logging
 import warnings
 from typing import cast, Dict, Generator, Optional, Sequence, Union

kats/models/arima.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 
 """ARIMA (Auto Regressive Integrated Moving Average) for time series data.
 

kats/models/bayesian_var.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """
  Bayesian estimation of Vector Autoregressive Model using
  Minnesota prior on the coefficient matrix. This version is

kats/models/ensemble/ensemble.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """Ensemble techniques for forecasting
 
 This implements a set of ensemble techniques including weighted averaging, median ensemble

kats/models/ensemble/kats_ensemble.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """Kats ensemble model
 
 Implementation of the Kats ensemble model. It starts from seasonality detection, if seasonality detected, it

kats/models/ensemble/median_ensemble.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """Median ensembling method
 
 Ensemble models with median of individual models

kats/models/ensemble/weighted_avg_ensemble.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 """Ensemble models with weighted average individual models
 
 Assume we have k base models, after we make forecasts with each individual

kats/models/globalmodel/backtester.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import collections
 import logging
 import time

kats/models/globalmodel/data_processor.py

@@ -3,6 +3,8 @@
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-strict
+
 import logging
 from typing import Any, Dict, List, Optional, Tuple, Union