From 24e8554d5a6cfd0533909ea3542e1e39e53c8799 Mon Sep 17 00:00:00 2001 From: Zeke Xia <43031121+CodeFree-xzk@users.noreply.github.com> Date: Wed, 24 Jan 2024 16:02:26 +0800 Subject: [PATCH] add build and release workflow (#12) * Bump gitpython from 3.1.40 to 3.1.41 in /anomaly-detector (#4) Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.40 to 3.1.41. - [Release notes](https://github.com/gitpython-developers/GitPython/releases) - [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES) - [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.40...3.1.41) --- updated-dependencies: - dependency-name: gitpython dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump jinja2 from 3.1.2 to 3.1.3 in /anomaly-detector (#6) Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.2 to 3.1.3. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/jinja/compare/3.1.2...3.1.3) --- updated-dependencies: - dependency-name: jinja2 dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * add build workflow * add build workflow * add build workflow * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * test poetry install * merge --------- Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .github/workflows/build.yml | 49 ++ .github/workflows/ci.yml | 40 +- MANIFEST.in | 14 +- .../anomaly_detector/common/data_processor.py | 2 +- .../anomaly_detector/multivariate/model.py | 58 +- .../univariate_anomaly_detection.py | 1 + .../anomaly_detector/univariate/util/r_stl.py | 7 +- anomaly-detector/build.py | 18 +- anomaly-detector/poetry.lock | 548 +++++++++++------- anomaly-detector/pyproject.toml | 6 +- anomaly-detector/tests/test_demo.py | 6 +- requirements.txt | 26 +- setup.py | 34 +- 13 files changed, 523 insertions(+), 286 deletions(-) create mode 100644 .github/workflows/build.yml diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml new file mode 100644 index 0000000..81fabdf --- /dev/null +++ b/.github/workflows/build.yml @@ -0,0 +1,49 @@ +name: publish_release +on: + push: + branches: [ "main" ] + +jobs: + release: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + +# - name: Set up Python +# uses: actions/setup-python@v5 +# with: +# python-version: 3.11 + + - name: Build project + run: | + pip install Cython + pip install numpy + python setup.py sdist bdist_wheel + + - name: Create Draft Release + id: create_release + uses: actions/create-release@v1 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + with: + # TODO + tag_name: 0.1.0 + release_name: 0.1.0 + draft: true + prerelease: false + + - name: Upload Release Asset + uses: actions/upload-release-asset@v1.0.1 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + with: + upload_url: ${{ steps.create_release.outputs.upload_url }} + asset_path: ./dist/anomaly_detector-0.1.0-cp310-cp310-linux_x86_64.whl + asset_name: anomaly_detector-0.1.0-cp310-cp310-linux_x86_64.whl + asset_content_type: application/whl + + - uses: eregon/publish-release@v1 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + with: + release_id: ${{ steps.create_release.outputs.id }} \ No newline at end of file diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index fb3fe88..04af855 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -6,7 +6,7 @@ name: CI on: # Triggers the workflow on push or pull request events but only for the "main" branch push: - branches: [ "main", "dev"] + branches: [ "main", "dev" ] pull_request: branches: [ "main", "dev" ] @@ -21,7 +21,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [ '3.8', '3.9', '3.10.8', '3.11', '3.12'] + python-version: [ '3.9', '3.10.8', '3.11', '3.12' ] # Steps represent a sequence of tasks that will be executed as part of the job steps: @@ -35,39 +35,47 @@ jobs: working-directory: anomaly-detector run: poetry install + - name: gen .pyd file + run: | + pip install Cython + pip install numpy + python setup.py build_ext --inplace + - name: run the test script working-directory: anomaly-detector/tests - run: poetry run pytest -k "test_" + run: | + pip install pytest + poetry run pytest test_demo.py + - name: Analyze code with pylint run: | pip install pylint pylint --exit-zero $(git ls-files '*.py') - test_on_poetry_whl: + test_on_setup_whl: runs-on: ubuntu-latest strategy: matrix: - python-version: [ '3.8', '3.9', '3.10.8', '3.11', '3.12' ] + python-version: [ '3.9', '3.10.8', '3.11', '3.12' ] steps: - uses: actions/checkout@v4 - - name: Install poetry - run: pipx install poetry - - - name: gen .whl file by poetry - working-directory: anomaly-detector - run: poetry build + - name: gen .whl file by setup + run: | + pip install Cython + pip install numpy + python setup.py sdist bdist_wheel - name: install .whl file - run: pip install ./anomaly-detector/dist/*.whl + run: pip install ./dist/*.whl - name: run the test script working-directory: anomaly-detector/tests run: | pip install pytest python test_demo.py - +# python uvad_test.py test_on_setup: runs-on: ubuntu-latest @@ -75,10 +83,14 @@ jobs: - uses: actions/checkout@v4 - name: install package by setup.py - run: pip install . + run: | + pip install Cython + pip install numpy + pip install . - name: run the test script working-directory: anomaly-detector/tests run: | pip install pytest python test_demo.py +# python uvad_test.py diff --git a/MANIFEST.in b/MANIFEST.in index 94c7080..5f7e670 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,7 +1,7 @@ -recursive-include anomaly-detector/*.pyx -recursive-include anomaly-detector/*.c -recursive-include anomaly-detector/*.h -recursive-include anomaly-detector/*.py -recursive-include anomaly-detector/*.txt -recursive-include anomaly-detector/anomaly_detector/univariate * -include setup.py \ No newline at end of file +recursive-include ./anomaly-detector/*.pyx +recursive-include ./anomaly-detector/*.c +recursive-include ./anomaly-detector/*.h +recursive-include ./anomaly-detector/*.py +recursive-include ./anomaly-detector/*.txt +recursive-include ./anomaly-detector/anomaly_detector/univariate * +include ./setup.py \ No newline at end of file diff --git a/anomaly-detector/anomaly_detector/common/data_processor.py b/anomaly-detector/anomaly_detector/common/data_processor.py index 44e1250..387f8da 100644 --- a/anomaly-detector/anomaly_detector/common/data_processor.py +++ b/anomaly-detector/anomaly_detector/common/data_processor.py @@ -12,7 +12,7 @@ def __init__( *, fill_na_method: str = FillNAMethod.Linear.name, fill_na_value: float = 0.0, - window: int | float | str, + window: Union[int, float, str], start_time: str = None, end_time: str = None, ): diff --git a/anomaly-detector/anomaly_detector/multivariate/model.py b/anomaly-detector/anomaly_detector/multivariate/model.py index 63adcde..83096b3 100644 --- a/anomaly-detector/anomaly_detector/multivariate/model.py +++ b/anomaly-detector/anomaly_detector/multivariate/model.py @@ -64,7 +64,7 @@ def fit(self, data: pd.DataFrame, params: Dict = None): train_length = int(len(data) * self.config.train_ratio) valid_length = int(len(data) * self.config.val_ratio) train_data = values[:train_length] - val_data = values[train_length : valid_length + train_length] + val_data = values[train_length: valid_length + train_length] max_values = np.max(train_data, axis=0) min_values = np.min(train_data, axis=0) self.config.normalize_base = NormalizeBase( @@ -216,7 +216,7 @@ def evaluate_epoch(self, model, criterion, dataloader): return loss_meter.avg, vae_loss_meter.avg, pred_loss_meter.avg def predict( - self, context, data: pd.DataFrame, params: Optional[Dict[str, Any]] = None + self, context, data: pd.DataFrame, params: Optional[Dict[str, Any]] = None ): effective_timestamps, variables, values, _ = self._verify_data_and_params( data, params @@ -249,16 +249,16 @@ def predict( thresholds = [ get_threshold( inference_scores[ - max(0, result_n - self.config.threshold_window - i) : len( - inference_scores - ) - - i + max(0, result_n - self.config.threshold_window - i): len( + inference_scores + ) + - i ] ) for i in range(result_n - 1, self.config.threshold_window - 2, -1) ] - inference_scores = inference_scores[self.config.threshold_window - 1 :] - contributor_scores = contributor_scores[self.config.threshold_window - 1 :] + inference_scores = inference_scores[self.config.threshold_window - 1:] + contributor_scores = contributor_scores[self.config.threshold_window - 1:] is_anomalies = np.array( [ (s >= t and s >= hard_th_lower) or s > hard_th_upper @@ -281,7 +281,7 @@ def predict( -1 ) attn_feats = ( - attn_feats[-inference_length:] - previous_attn[-inference_length:] + attn_feats[-inference_length:] - previous_attn[-inference_length:] ) attn_feats = attn_feats.numpy() return self._pack_response( @@ -331,26 +331,26 @@ def inference(self, values, compute_attn=True): _, ) = detection_results.get_loss_items() batch_contributor_rmses = ( - torch.exp( - torch.min( - 2 * torch.abs(x_pred - target), torch.ones_like(x_pred) + torch.exp( + torch.min( + 2 * torch.abs(x_pred - target), torch.ones_like(x_pred) + ) ) - ) - - 1 + - 1 ) batch_contributor_probs = ( - torch.exp( - torch.min( - 2 * torch.abs(x_recon - target), torch.ones_like(x_pred) + torch.exp( + torch.min( + 2 * torch.abs(x_recon - target), torch.ones_like(x_pred) + ) ) - ) - - 1 + - 1 ) batch_probs = torch.mean(batch_contributor_probs, dim=1) batch_contributor_rmses_weight = ( - batch_contributor_rmses.cpu().numpy() * pct_weight + batch_contributor_rmses.cpu().numpy() * pct_weight ) contributor_rmses = append_result( contributor_rmses, batch_contributor_rmses_weight @@ -438,14 +438,14 @@ def _verify_data_and_params(self, data: pd.DataFrame, params): return effective_timestamps, variables, values, config def _pack_response( - self, - timestamps, - variables, - is_anomalies, - inference_scores, - severity_scores, - contributor_scores, - attn_feats, + self, + timestamps, + variables, + is_anomalies, + inference_scores, + severity_scores, + contributor_scores, + attn_feats, ): contributor_scores = torch.from_numpy(contributor_scores) top_k_contributors_idx = torch.argsort( @@ -499,7 +499,7 @@ def _pack_response( changed_variables = [] for k in range(num_attentions): if abs(top_attn_scores[idx, j, k]) > min( - 0.001, 1.0 / (1.25 * num_series_names) + 0.001, 1.0 / (1.25 * num_series_names) ): changed_values.append(top_attn_scores[idx, j, k]) var_idx = top_attn_scores_idx[idx, j, k] diff --git a/anomaly-detector/anomaly_detector/univariate/univariate_anomaly_detection.py b/anomaly-detector/anomaly_detector/univariate/univariate_anomaly_detection.py index c7abb9e..9a5add5 100644 --- a/anomaly-detector/anomaly_detector/univariate/univariate_anomaly_detection.py +++ b/anomaly-detector/anomaly_detector/univariate/univariate_anomaly_detection.py @@ -1,6 +1,7 @@ import os import pandas as pd import numpy as np + from anomaly_detector.univariate.resource.error_message import * from anomaly_detector.univariate.util import Granularity, get_indices_from_timestamps, DEFAULT_FILL_UP_MODE, FillUpMode, BoundaryVersion from anomaly_detector.univariate.util.enum import default_gran_window diff --git a/anomaly-detector/anomaly_detector/univariate/util/r_stl.py b/anomaly-detector/anomaly_detector/univariate/util/r_stl.py index 8c64f2a..e4ca772 100644 --- a/anomaly-detector/anomaly_detector/univariate/util/r_stl.py +++ b/anomaly-detector/anomaly_detector/univariate/util/r_stl.py @@ -26,7 +26,7 @@ def stl_core(data, np=None): ``data`` timeseries. """ res_ts = STL(data, np, "periodic", robust=True) - return pandas.DataFrame({"seasonal": res_ts.seasonal,"trend": res_ts.trend, "remainder": res_ts.remainder}) + return pandas.DataFrame({"seasonal": res_ts.seasonal, "trend": res_ts.trend, "remainder": res_ts.remainder}) def stl_log(data, np=None): @@ -45,7 +45,7 @@ def stl_log(data, np=None): base = min(data) if base < 1: data = npy.subtract(data, base) - data = data + 1 # add 1 along in case value scale in _data is extreme compared with 1 + data = data + 1 # add 1 along in case value scale in _data is extreme compared with 1 result = STL(npy.log(data), np, "periodic", robust=True) trend_log = result.trend @@ -59,7 +59,6 @@ def stl_log(data, np=None): trend = trend - 1 trend = trend + base - try: res_ts = pandas.DataFrame({"seasonal": seasonal, "trend": trend, @@ -68,7 +67,7 @@ def stl_log(data, np=None): raise e return res_ts - + def stl(data, np=None, log_transform=False): if log_transform: diff --git a/anomaly-detector/build.py b/anomaly-detector/build.py index a920a20..db862e0 100644 --- a/anomaly-detector/build.py +++ b/anomaly-detector/build.py @@ -2,6 +2,7 @@ import os import numpy as np from distutils.errors import CCompilerError, DistutilsExecError, DistutilsPlatformError + # See if Cython is installed try: from Cython.Build import cythonize @@ -16,15 +17,18 @@ def build(setup_kwargs): from setuptools.dist import Distribution from setuptools.command.build_ext import build_ext # use cythonize to build the extensions -modules = ["anomaly_detector/univariate/*.pyx"] +modules = ["./anomaly_detector/univariate/*.pyx"] extensions = cythonize(modules, language_level=3, - compiler_directives={'linetrace': True}, + compiler_directives={'linetrace': True}, ) + # cmdclass = {'build_ext': build_ext} class BuildFailed(Exception): pass + + class ExtBuilder(build_ext): def run(self): @@ -39,15 +43,17 @@ def build_extension(self, ext): except (CCompilerError, DistutilsExecError, DistutilsPlatformError, ValueError): raise BuildFailed('Could not compile C extension.') + cmdclass = {"build_ext": ExtBuilder} + def build(setup_kwargs): """Needed for the poetry building interface.""" - + os.environ['CFLAGS'] = '-O3' - + setup_kwargs.update({ - 'ext_modules' : extensions, - 'include_dirs' : [np.get_include()], + 'ext_modules': extensions, + 'include_dirs': [np.get_include()], 'cmdclass': cmdclass }) diff --git a/anomaly-detector/poetry.lock b/anomaly-detector/poetry.lock index 6f8293a..64b13b4 100644 --- a/anomaly-detector/poetry.lock +++ b/anomaly-detector/poetry.lock @@ -12,8 +12,6 @@ files = [ ] [package.dependencies] -importlib-metadata = {version = "*", markers = "python_version < \"3.9\""} -importlib-resources = {version = "*", markers = "python_version < \"3.9\""} Mako = "*" SQLAlchemy = ">=1.3.0" typing-extensions = ">=4" @@ -21,6 +19,46 @@ typing-extensions = ">=4" [package.extras] tz = ["backports.zoneinfo"] +[[package]] +name = "arch" +version = "6.3.0" +description = "ARCH for Python" +optional = false +python-versions = ">=3.9" +files = [ + {file = "arch-6.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:179ea15e96d1aafdf88c470f9d4cbda867e5a379b629dde282c1d85691d66598"}, + {file = "arch-6.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ecc23e58836c12073f105c4bd78efd3fb1caf335b0d3d80f5914fe01a6eaa3fc"}, + {file = "arch-6.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5573b4f9331993019b8fcbb2e6edf249e17a9a5f27a02c0fc2c07a1a41da9f3b"}, + {file = "arch-6.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cf2ddeb076e276d0f350449253d578c59df8170738727a2b5171ae9d98784b"}, + {file = "arch-6.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5446d681555419cb0739006c706c69435975e93e5104a8cf114bdea88a3e841a"}, + {file = "arch-6.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:92997633de472d2d1c142262d947bc4b6e7ad50e73686695cf3767942b6a6a2f"}, + {file = "arch-6.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:af144ec65d6a99cc1a5c06327cf1c957de7a6936e84bd4b3d7604cc0084b2f02"}, + {file = "arch-6.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9a53c8b1d8f6237ebe4718451b1ef6fc5738a124e0454bdd6fabf22bdbe570da"}, + {file = "arch-6.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:830add5723f7491226f4a58e97c84b7bfa584255581d8f9c624fa97de5f7686d"}, + {file = "arch-6.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1488ab7b4f15a071581e3ea2bc5199af4586558e414da539a62919ae2bcc11c"}, + {file = "arch-6.3.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5aa8d428f6147e6f22343673c54ea4846968a5e8d37f35b39d824a0a0bf115ee"}, + {file = "arch-6.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:844ab59b7fb24cd65ada9491e6e2423a6dac76f0b53e1350ec469efeb45cf617"}, + {file = "arch-6.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6f406b1d2b9e07cb233779f7f737541695c04ae07caea26082c028fbe6766ca6"}, + {file = "arch-6.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c67187d2bfa66c3a4e2bd67423780e88f63fc5413bf97adf765b034c8226b969"}, + {file = "arch-6.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82874a0831fa13a28b3d3eb934a61ca26fd92b2e37a716147601b6d0a1292c9a"}, + {file = "arch-6.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:573913e6ee2ab703dcda2bba73ebc20dd6f4ab2622e640ac1e50367a5a99449c"}, + {file = "arch-6.3.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:35b4e480d6241691cce591950f99d688e6866761e8946e68eaae8bb4f73db00c"}, + {file = "arch-6.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:10bad48b79059ae3661c7d744e0aea3c857211c1b447bdc466fd54664c2079e1"}, + {file = "arch-6.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0b82d4c1c6012d5f6ce80ba85020db281658ada0af448e18fa4b5424a0e2f7c2"}, + {file = "arch-6.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d0ddf235084f8ef7b396ff4eb259a03759c34daec7ab2c777d3fe7271418518e"}, + {file = "arch-6.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88c61d8909971110427007fba5021c1f5fcc7cac386ca961d38a6501b76ff207"}, + {file = "arch-6.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3c1138b80043b3179ad2fe66127fa799c5c19759c15284d70945736463ea732"}, + {file = "arch-6.3.0-cp39-cp39-win32.whl", hash = "sha256:c36b19010644dd42830fbd6bbe03f961270fb9e4af4afae24d38c1685b6e3e24"}, + {file = "arch-6.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:21487863371d4d36d202f06974db5095b83339c10faeec0e67f1acc7cf7d22dc"}, + {file = "arch-6.3.0.tar.gz", hash = "sha256:6c56d8cb8a530723c68cb432bb9839490272c90614264d4ec241fe56b1fd96b7"}, +] + +[package.dependencies] +numpy = ">=1.19" +pandas = ">=1.1" +scipy = ">=1.5" +statsmodels = ">=0.12" + [[package]] name = "blinker" version = "1.7.0" @@ -178,68 +216,6 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -[[package]] -name = "contourpy" -version = "1.1.0" -description = "Python library for calculating contours of 2D quadrilateral grids" -optional = false -python-versions = ">=3.8" -files = [ - {file = "contourpy-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:89f06eff3ce2f4b3eb24c1055a26981bffe4e7264acd86f15b97e40530b794bc"}, - {file = "contourpy-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dffcc2ddec1782dd2f2ce1ef16f070861af4fb78c69862ce0aab801495dda6a3"}, - {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25ae46595e22f93592d39a7eac3d638cda552c3e1160255258b695f7b58e5655"}, - {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:17cfaf5ec9862bc93af1ec1f302457371c34e688fbd381f4035a06cd47324f48"}, - {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18a64814ae7bce73925131381603fff0116e2df25230dfc80d6d690aa6e20b37"}, - {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90c81f22b4f572f8a2110b0b741bb64e5a6427e0a198b2cdc1fbaf85f352a3aa"}, - {file = "contourpy-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53cc3a40635abedbec7f1bde60f8c189c49e84ac180c665f2cd7c162cc454baa"}, - {file = "contourpy-1.1.0-cp310-cp310-win32.whl", hash = "sha256:9b2dd2ca3ac561aceef4c7c13ba654aaa404cf885b187427760d7f7d4c57cff8"}, - {file = "contourpy-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:1f795597073b09d631782e7245016a4323cf1cf0b4e06eef7ea6627e06a37ff2"}, - {file = "contourpy-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b7b04ed0961647691cfe5d82115dd072af7ce8846d31a5fac6c142dcce8b882"}, - {file = "contourpy-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27bc79200c742f9746d7dd51a734ee326a292d77e7d94c8af6e08d1e6c15d545"}, - {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:052cc634bf903c604ef1a00a5aa093c54f81a2612faedaa43295809ffdde885e"}, - {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9382a1c0bc46230fb881c36229bfa23d8c303b889b788b939365578d762b5c18"}, - {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5cec36c5090e75a9ac9dbd0ff4a8cf7cecd60f1b6dc23a374c7d980a1cd710e"}, - {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f0cbd657e9bde94cd0e33aa7df94fb73c1ab7799378d3b3f902eb8eb2e04a3a"}, - {file = "contourpy-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:181cbace49874f4358e2929aaf7ba84006acb76694102e88dd15af861996c16e"}, - {file = "contourpy-1.1.0-cp311-cp311-win32.whl", hash = "sha256:edb989d31065b1acef3828a3688f88b2abb799a7db891c9e282df5ec7e46221b"}, - {file = "contourpy-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fb3b7d9e6243bfa1efb93ccfe64ec610d85cfe5aec2c25f97fbbd2e58b531256"}, - {file = "contourpy-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bcb41692aa09aeb19c7c213411854402f29f6613845ad2453d30bf421fe68fed"}, - {file = "contourpy-1.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5d123a5bc63cd34c27ff9c7ac1cd978909e9c71da12e05be0231c608048bb2ae"}, - {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62013a2cf68abc80dadfd2307299bfa8f5aa0dcaec5b2954caeb5fa094171103"}, - {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0b6616375d7de55797d7a66ee7d087efe27f03d336c27cf1f32c02b8c1a5ac70"}, - {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:317267d915490d1e84577924bd61ba71bf8681a30e0d6c545f577363157e5e94"}, - {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d551f3a442655f3dcc1285723f9acd646ca5858834efeab4598d706206b09c9f"}, - {file = "contourpy-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e7a117ce7df5a938fe035cad481b0189049e8d92433b4b33aa7fc609344aafa1"}, - {file = "contourpy-1.1.0-cp38-cp38-win32.whl", hash = "sha256:108dfb5b3e731046a96c60bdc46a1a0ebee0760418951abecbe0fc07b5b93b27"}, - {file = "contourpy-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:d4f26b25b4f86087e7d75e63212756c38546e70f2a92d2be44f80114826e1cd4"}, - {file = "contourpy-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc00bb4225d57bff7ebb634646c0ee2a1298402ec10a5fe7af79df9a51c1bfd9"}, - {file = "contourpy-1.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:189ceb1525eb0655ab8487a9a9c41f42a73ba52d6789754788d1883fb06b2d8a"}, - {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f2931ed4741f98f74b410b16e5213f71dcccee67518970c42f64153ea9313b9"}, - {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:30f511c05fab7f12e0b1b7730ebdc2ec8deedcfb505bc27eb570ff47c51a8f15"}, - {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:143dde50520a9f90e4a2703f367cf8ec96a73042b72e68fcd184e1279962eb6f"}, - {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e94bef2580e25b5fdb183bf98a2faa2adc5b638736b2c0a4da98691da641316a"}, - {file = "contourpy-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ed614aea8462735e7d70141374bd7650afd1c3f3cb0c2dbbcbe44e14331bf002"}, - {file = "contourpy-1.1.0-cp39-cp39-win32.whl", hash = "sha256:71551f9520f008b2950bef5f16b0e3587506ef4f23c734b71ffb7b89f8721999"}, - {file = "contourpy-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:438ba416d02f82b692e371858143970ed2eb6337d9cdbbede0d8ad9f3d7dd17d"}, - {file = "contourpy-1.1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a698c6a7a432789e587168573a864a7ea374c6be8d4f31f9d87c001d5a843493"}, - {file = "contourpy-1.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397b0ac8a12880412da3551a8cb5a187d3298a72802b45a3bd1805e204ad8439"}, - {file = "contourpy-1.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:a67259c2b493b00e5a4d0f7bfae51fb4b3371395e47d079a4446e9b0f4d70e76"}, - {file = "contourpy-1.1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2b836d22bd2c7bb2700348e4521b25e077255ebb6ab68e351ab5aa91ca27e027"}, - {file = "contourpy-1.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084eaa568400cfaf7179b847ac871582199b1b44d5699198e9602ecbbb5f6104"}, - {file = "contourpy-1.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:911ff4fd53e26b019f898f32db0d4956c9d227d51338fb3b03ec72ff0084ee5f"}, - {file = "contourpy-1.1.0.tar.gz", hash = "sha256:e53046c3863828d21d531cc3b53786e6580eb1ba02477e8681009b6aa0870b21"}, -] - -[package.dependencies] -numpy = ">=1.16" - -[package.extras] -bokeh = ["bokeh", "selenium"] -docs = ["furo", "sphinx-copybutton"] -mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pillow"] -test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] -test-no-images = ["pytest", "pytest-cov", "wurlitzer"] - [[package]] name = "contourpy" version = "1.1.1" @@ -302,7 +278,10 @@ files = [ ] [package.dependencies] -numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""} +numpy = [ + {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}, + {version = ">=1.26.0rc1,<2.0", markers = "python_version >= \"3.12\""}, +] [package.extras] bokeh = ["bokeh", "selenium"] @@ -326,6 +305,73 @@ files = [ docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] tests = ["pytest", "pytest-cov", "pytest-xdist"] +[[package]] +name = "cython" +version = "3.0.8" +description = "The Cython compiler for writing C extensions in the Python language." +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "Cython-3.0.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a846e0a38e2b24e9a5c5dc74b0e54c6e29420d88d1dafabc99e0fc0f3e338636"}, + {file = "Cython-3.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45523fdc2b78d79b32834cc1cc12dc2ca8967af87e22a3ee1bff20e77c7f5520"}, + {file = "Cython-3.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa0b7f3f841fe087410cab66778e2d3fb20ae2d2078a2be3dffe66c6574be39"}, + {file = "Cython-3.0.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e87294e33e40c289c77a135f491cd721bd089f193f956f7b8ed5aa2d0b8c558f"}, + {file = "Cython-3.0.8-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:a1df7a129344b1215c20096d33c00193437df1a8fcca25b71f17c23b1a44f782"}, + {file = "Cython-3.0.8-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:13c2a5e57a0358da467d97667297bf820b62a1a87ae47c5f87938b9bb593acbd"}, + {file = "Cython-3.0.8-cp310-cp310-win32.whl", hash = "sha256:96b028f044f5880e3cb18ecdcfc6c8d3ce9d0af28418d5ab464509f26d8adf12"}, + {file = "Cython-3.0.8-cp310-cp310-win_amd64.whl", hash = "sha256:8140597a8b5cc4f119a1190f5a2228a84f5ca6d8d9ec386cfce24663f48b2539"}, + {file = "Cython-3.0.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:aae26f9663e50caf9657148403d9874eea41770ecdd6caf381d177c2b1bb82ba"}, + {file = "Cython-3.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:547eb3cdb2f8c6f48e6865d5a741d9dd051c25b3ce076fbca571727977b28ac3"}, + {file = "Cython-3.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a567d4b9ba70b26db89d75b243529de9e649a2f56384287533cf91512705bee"}, + {file = "Cython-3.0.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:51d1426263b0e82fb22bda8ea60dc77a428581cc19e97741011b938445d383f1"}, + {file = "Cython-3.0.8-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c26daaeccda072459b48d211415fd1e5507c06bcd976fa0d5b8b9f1063467d7b"}, + {file = "Cython-3.0.8-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:289ce7838208211cd166e975865fd73b0649bf118170b6cebaedfbdaf4a37795"}, + {file = "Cython-3.0.8-cp311-cp311-win32.whl", hash = "sha256:c8aa05f5e17f8042a3be052c24f2edc013fb8af874b0bf76907d16c51b4e7871"}, + {file = "Cython-3.0.8-cp311-cp311-win_amd64.whl", hash = "sha256:000dc9e135d0eec6ecb2b40a5b02d0868a2f8d2e027a41b0fe16a908a9e6de02"}, + {file = "Cython-3.0.8-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:90d3fe31db55685d8cb97d43b0ec39ef614fcf660f83c77ed06aa670cb0e164f"}, + {file = "Cython-3.0.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e24791ddae2324e88e3c902a765595c738f19ae34ee66bfb1a6dac54b1833419"}, + {file = "Cython-3.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f020fa1c0552052e0660790b8153b79e3fc9a15dbd8f1d0b841fe5d204a6ae6"}, + {file = "Cython-3.0.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18bfa387d7a7f77d7b2526af69a65dbd0b731b8d941aaff5becff8e21f6d7717"}, + {file = "Cython-3.0.8-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fe81b339cffd87c0069c6049b4d33e28bdd1874625ee515785bf42c9fdff3658"}, + {file = "Cython-3.0.8-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:80fd94c076e1e1b1ee40a309be03080b75f413e8997cddcf401a118879863388"}, + {file = "Cython-3.0.8-cp312-cp312-win32.whl", hash = "sha256:85077915a93e359a9b920280d214dc0cf8a62773e1f3d7d30fab8ea4daed670c"}, + {file = "Cython-3.0.8-cp312-cp312-win_amd64.whl", hash = "sha256:0cb2dcc565c7851f75d496f724a384a790fab12d1b82461b663e66605bec429a"}, + {file = "Cython-3.0.8-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:870d2a0a7e3cbd5efa65aecdb38d715ea337a904ea7bb22324036e78fb7068e7"}, + {file = "Cython-3.0.8-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7e8f2454128974905258d86534f4fd4f91d2f1343605657ecab779d80c9d6d5e"}, + {file = "Cython-3.0.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1949d6aa7bc792554bee2b67a9fe41008acbfe22f4f8df7b6ec7b799613a4b3"}, + {file = "Cython-3.0.8-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9f2c6e1b8f3bcd6cb230bac1843f85114780bb8be8614855b1628b36bb510e0"}, + {file = "Cython-3.0.8-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:05d7eddc668ae7993643f32c7661f25544e791edb745758672ea5b1a82ecffa6"}, + {file = "Cython-3.0.8-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:bfabe115deef4ada5d23c87bddb11289123336dcc14347011832c07db616dd93"}, + {file = "Cython-3.0.8-cp36-cp36m-win32.whl", hash = "sha256:0c38c9f0bcce2df0c3347285863621be904ac6b64c5792d871130569d893efd7"}, + {file = "Cython-3.0.8-cp36-cp36m-win_amd64.whl", hash = "sha256:6c46939c3983217d140999de7c238c3141f56b1ea349e47ca49cae899969aa2c"}, + {file = "Cython-3.0.8-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:115f0a50f752da6c99941b103b5cb090da63eb206abbc7c2ad33856ffc73f064"}, + {file = "Cython-3.0.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9c0f29246734561c90f36e70ed0506b61aa3d044e4cc4cba559065a2a741fae"}, + {file = "Cython-3.0.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ab75242869ff71e5665fe5c96f3378e79e792fa3c11762641b6c5afbbbbe026"}, + {file = "Cython-3.0.8-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6717c06e9cfc6c1df18543cd31a21f5d8e378a40f70c851fa2d34f0597037abc"}, + {file = "Cython-3.0.8-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:9d3f74388db378a3c6fd06e79a809ed98df3f56484d317b81ee762dbf3c263e0"}, + {file = "Cython-3.0.8-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ae7ac561fd8253a9ae96311e91d12af5f701383564edc11d6338a7b60b285a6f"}, + {file = "Cython-3.0.8-cp37-cp37m-win32.whl", hash = "sha256:97b2a45845b993304f1799664fa88da676ee19442b15fdcaa31f9da7e1acc434"}, + {file = "Cython-3.0.8-cp37-cp37m-win_amd64.whl", hash = "sha256:9e2be2b340fea46fb849d378f9b80d3c08ff2e81e2bfbcdb656e2e3cd8c6b2dc"}, + {file = "Cython-3.0.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2cde23c555470db3f149ede78b518e8274853745289c956a0e06ad8d982e4db9"}, + {file = "Cython-3.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7990ca127e1f1beedaf8fc8bf66541d066ef4723ad7d8d47a7cbf842e0f47580"}, + {file = "Cython-3.0.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b983c8e6803f016146c26854d9150ddad5662960c804ea7f0c752c9266752f0"}, + {file = "Cython-3.0.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a973268d7ca1a2bdf78575e459a94a78e1a0a9bb62a7db0c50041949a73b02ff"}, + {file = "Cython-3.0.8-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:61a237bc9dd23c7faef0fcfce88c11c65d0c9bb73c74ccfa408b3a012073c20e"}, + {file = "Cython-3.0.8-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3a3d67f079598af49e90ff9655bf85bd358f093d727eb21ca2708f467c489cae"}, + {file = "Cython-3.0.8-cp38-cp38-win32.whl", hash = "sha256:17a642bb01a693e34c914106566f59844b4461665066613913463a719e0dd15d"}, + {file = "Cython-3.0.8-cp38-cp38-win_amd64.whl", hash = "sha256:2cdfc32252f3b6dc7c94032ab744dcedb45286733443c294d8f909a4854e7f83"}, + {file = "Cython-3.0.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fa97893d99385386925d00074654aeae3a98867f298d1e12ceaf38a9054a9bae"}, + {file = "Cython-3.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f05c0bf9d085c031df8f583f0d506aa3be1692023de18c45d0aaf78685bbb944"}, + {file = "Cython-3.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de892422582f5758bd8de187e98ac829330ec1007bc42c661f687792999988a7"}, + {file = "Cython-3.0.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:314f2355a1f1d06e3c431eaad4708cf10037b5e91e4b231d89c913989d0bdafd"}, + {file = "Cython-3.0.8-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:78825a3774211e7d5089730f00cdf7f473042acc9ceb8b9eeebe13ed3a5541de"}, + {file = "Cython-3.0.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:df8093deabc55f37028190cf5e575c26aad23fc673f34b85d5f45076bc37ce39"}, + {file = "Cython-3.0.8-cp39-cp39-win32.whl", hash = "sha256:1aca1b97e0095b3a9a6c33eada3f661a4ed0d499067d121239b193e5ba3bb4f0"}, + {file = "Cython-3.0.8-cp39-cp39-win_amd64.whl", hash = "sha256:16873d78be63bd38ffb759da7ab82814b36f56c769ee02b1d5859560e4c3ac3c"}, + {file = "Cython-3.0.8-py2.py3-none-any.whl", hash = "sha256:171b27051253d3f9108e9759e504ba59ff06e7f7ba944457f94deaf9c21bf0b6"}, + {file = "Cython-3.0.8.tar.gz", hash = "sha256:8333423d8fd5765e7cceea3a9985dd1e0a5dfeb2734629e1a2ed2d6233d39de6"}, +] + [[package]] name = "databricks-cli" version = "0.18.0" @@ -1041,39 +1087,47 @@ xethub = ["mlflow-xethub"] [[package]] name = "numpy" -version = "1.24.4" +version = "1.26.3" description = "Fundamental package for array computing in Python" optional = false -python-versions = ">=3.8" -files = [ - {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"}, - {file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"}, - {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"}, - {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"}, - {file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"}, - {file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"}, - {file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"}, - {file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"}, - {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"}, - {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"}, - {file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"}, - {file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"}, - {file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"}, - {file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"}, - {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"}, - {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"}, - {file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"}, - {file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"}, - {file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"}, - {file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"}, - {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"}, - {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"}, - {file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"}, - {file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"}, - {file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"}, - {file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"}, - {file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"}, - {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"}, +python-versions = ">=3.9" +files = [ + {file = "numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf"}, + {file = "numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd"}, + {file = "numpy-1.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d45b3ec2faed4baca41c76617fcdcfa4f684ff7a151ce6fc78ad3b6e85af0a6"}, + {file = "numpy-1.26.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bdd2b45bf079d9ad90377048e2747a0c82351989a2165821f0c96831b4a2a54b"}, + {file = "numpy-1.26.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:211ddd1e94817ed2d175b60b6374120244a4dd2287f4ece45d49228b4d529178"}, + {file = "numpy-1.26.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b1240f767f69d7c4c8a29adde2310b871153df9b26b5cb2b54a561ac85146485"}, + {file = "numpy-1.26.3-cp310-cp310-win32.whl", hash = "sha256:21a9484e75ad018974a2fdaa216524d64ed4212e418e0a551a2d83403b0531d3"}, + {file = "numpy-1.26.3-cp310-cp310-win_amd64.whl", hash = "sha256:9e1591f6ae98bcfac2a4bbf9221c0b92ab49762228f38287f6eeb5f3f55905ce"}, + {file = "numpy-1.26.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b831295e5472954104ecb46cd98c08b98b49c69fdb7040483aff799a755a7374"}, + {file = "numpy-1.26.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9e87562b91f68dd8b1c39149d0323b42e0082db7ddb8e934ab4c292094d575d6"}, + {file = "numpy-1.26.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c66d6fec467e8c0f975818c1796d25c53521124b7cfb760114be0abad53a0a2"}, + {file = "numpy-1.26.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f25e2811a9c932e43943a2615e65fc487a0b6b49218899e62e426e7f0a57eeda"}, + {file = "numpy-1.26.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:af36e0aa45e25c9f57bf684b1175e59ea05d9a7d3e8e87b7ae1a1da246f2767e"}, + {file = "numpy-1.26.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:51c7f1b344f302067b02e0f5b5d2daa9ed4a721cf49f070280ac202738ea7f00"}, + {file = "numpy-1.26.3-cp311-cp311-win32.whl", hash = "sha256:7ca4f24341df071877849eb2034948459ce3a07915c2734f1abb4018d9c49d7b"}, + {file = "numpy-1.26.3-cp311-cp311-win_amd64.whl", hash = "sha256:39763aee6dfdd4878032361b30b2b12593fb445ddb66bbac802e2113eb8a6ac4"}, + {file = "numpy-1.26.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a7081fd19a6d573e1a05e600c82a1c421011db7935ed0d5c483e9dd96b99cf13"}, + {file = "numpy-1.26.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:12c70ac274b32bc00c7f61b515126c9205323703abb99cd41836e8125ea0043e"}, + {file = "numpy-1.26.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f784e13e598e9594750b2ef6729bcd5a47f6cfe4a12cca13def35e06d8163e3"}, + {file = "numpy-1.26.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f24750ef94d56ce6e33e4019a8a4d68cfdb1ef661a52cdaee628a56d2437419"}, + {file = "numpy-1.26.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:77810ef29e0fb1d289d225cabb9ee6cf4d11978a00bb99f7f8ec2132a84e0166"}, + {file = "numpy-1.26.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8ed07a90f5450d99dad60d3799f9c03c6566709bd53b497eb9ccad9a55867f36"}, + {file = "numpy-1.26.3-cp312-cp312-win32.whl", hash = "sha256:f73497e8c38295aaa4741bdfa4fda1a5aedda5473074369eca10626835445511"}, + {file = "numpy-1.26.3-cp312-cp312-win_amd64.whl", hash = "sha256:da4b0c6c699a0ad73c810736303f7fbae483bcb012e38d7eb06a5e3b432c981b"}, + {file = "numpy-1.26.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1666f634cb3c80ccbd77ec97bc17337718f56d6658acf5d3b906ca03e90ce87f"}, + {file = "numpy-1.26.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:18c3319a7d39b2c6a9e3bb75aab2304ab79a811ac0168a671a62e6346c29b03f"}, + {file = "numpy-1.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b7e807d6888da0db6e7e75838444d62495e2b588b99e90dd80c3459594e857b"}, + {file = "numpy-1.26.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4d362e17bcb0011738c2d83e0a65ea8ce627057b2fdda37678f4374a382a137"}, + {file = "numpy-1.26.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b8c275f0ae90069496068c714387b4a0eba5d531aace269559ff2b43655edd58"}, + {file = "numpy-1.26.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cc0743f0302b94f397a4a65a660d4cd24267439eb16493fb3caad2e4389bccbb"}, + {file = "numpy-1.26.3-cp39-cp39-win32.whl", hash = "sha256:9bc6d1a7f8cedd519c4b7b1156d98e051b726bf160715b769106661d567b3f03"}, + {file = "numpy-1.26.3-cp39-cp39-win_amd64.whl", hash = "sha256:867e3644e208c8922a3be26fc6bbf112a035f50f0a86497f98f228c50c607bb2"}, + {file = "numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e"}, + {file = "numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0"}, + {file = "numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5"}, + {file = "numpy-1.26.3.tar.gz", hash = "sha256:697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4"}, ] [[package]] @@ -1166,70 +1220,68 @@ files = [ [[package]] name = "pandas" -version = "2.0.3" +version = "1.3.5" description = "Powerful data structures for data analysis, time series, and statistics" optional = false -python-versions = ">=3.8" -files = [ - {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"}, - {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"}, - {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"}, - {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"}, - {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"}, - {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"}, - {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"}, - {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"}, - {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"}, - {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"}, - {file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"}, - {file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"}, - {file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"}, - {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"}, - {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"}, - {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"}, - {file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"}, - {file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"}, - {file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"}, - {file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"}, - {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"}, - {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"}, - {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"}, - {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"}, - {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"}, +python-versions = ">=3.7.1" +files = [ + {file = "pandas-1.3.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:62d5b5ce965bae78f12c1c0df0d387899dd4211ec0bdc52822373f13a3a022b9"}, + {file = "pandas-1.3.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:adfeb11be2d54f275142c8ba9bf67acee771b7186a5745249c7d5a06c670136b"}, + {file = "pandas-1.3.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:60a8c055d58873ad81cae290d974d13dd479b82cbb975c3e1fa2cf1920715296"}, + {file = "pandas-1.3.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd541ab09e1f80a2a1760032d665f6e032d8e44055d602d65eeea6e6e85498cb"}, + {file = "pandas-1.3.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2651d75b9a167cc8cc572cf787ab512d16e316ae00ba81874b560586fa1325e0"}, + {file = "pandas-1.3.5-cp310-cp310-win_amd64.whl", hash = "sha256:aaf183a615ad790801fa3cf2fa450e5b6d23a54684fe386f7e3208f8b9bfbef6"}, + {file = "pandas-1.3.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:344295811e67f8200de2390093aeb3c8309f5648951b684d8db7eee7d1c81fb7"}, + {file = "pandas-1.3.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:552020bf83b7f9033b57cbae65589c01e7ef1544416122da0c79140c93288f56"}, + {file = "pandas-1.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cce0c6bbeb266b0e39e35176ee615ce3585233092f685b6a82362523e59e5b4"}, + {file = "pandas-1.3.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d28a3c65463fd0d0ba8bbb7696b23073efee0510783340a44b08f5e96ffce0c"}, + {file = "pandas-1.3.5-cp37-cp37m-win32.whl", hash = "sha256:a62949c626dd0ef7de11de34b44c6475db76995c2064e2d99c6498c3dba7fe58"}, + {file = "pandas-1.3.5-cp37-cp37m-win_amd64.whl", hash = "sha256:8025750767e138320b15ca16d70d5cdc1886e8f9cc56652d89735c016cd8aea6"}, + {file = "pandas-1.3.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:fe95bae4e2d579812865db2212bb733144e34d0c6785c0685329e5b60fcb85dd"}, + {file = "pandas-1.3.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f261553a1e9c65b7a310302b9dbac31cf0049a51695c14ebe04e4bfd4a96f02"}, + {file = "pandas-1.3.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b6dbec5f3e6d5dc80dcfee250e0a2a652b3f28663492f7dab9a24416a48ac39"}, + {file = "pandas-1.3.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3bc49af96cd6285030a64779de5b3688633a07eb75c124b0747134a63f4c05f"}, + {file = "pandas-1.3.5-cp38-cp38-win32.whl", hash = "sha256:b6b87b2fb39e6383ca28e2829cddef1d9fc9e27e55ad91ca9c435572cdba51bf"}, + {file = "pandas-1.3.5-cp38-cp38-win_amd64.whl", hash = "sha256:a395692046fd8ce1edb4c6295c35184ae0c2bbe787ecbe384251da609e27edcb"}, + {file = "pandas-1.3.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bd971a3f08b745a75a86c00b97f3007c2ea175951286cdda6abe543e687e5f2f"}, + {file = "pandas-1.3.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37f06b59e5bc05711a518aa10beaec10942188dccb48918bb5ae602ccbc9f1a0"}, + {file = "pandas-1.3.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c21778a688d3712d35710501f8001cdbf96eb70a7c587a3d5613573299fdca6"}, + {file = "pandas-1.3.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3345343206546545bc26a05b4602b6a24385b5ec7c75cb6059599e3d56831da2"}, + {file = "pandas-1.3.5-cp39-cp39-win32.whl", hash = "sha256:c69406a2808ba6cf580c2255bcf260b3f214d2664a3a4197d0e640f573b46fd3"}, + {file = "pandas-1.3.5-cp39-cp39-win_amd64.whl", hash = "sha256:32e1a26d5ade11b547721a72f9bfc4bd113396947606e00d5b4a5b79b3dcb006"}, + {file = "pandas-1.3.5.tar.gz", hash = "sha256:1e4285f5de1012de20ca46b188ccf33521bff61ba5c5ebd78b4fb28e5416a9f1"}, ] [package.dependencies] numpy = [ - {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, + {version = ">=1.17.3", markers = "(platform_machine != \"aarch64\" and platform_machine != \"arm64\") and python_version < \"3.10\""}, + {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""}, + {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, ] -python-dateutil = ">=2.8.2" -pytz = ">=2020.1" -tzdata = ">=2022.1" +python-dateutil = ">=2.7.3" +pytz = ">=2017.3" [package.extras] -all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"] -aws = ["s3fs (>=2021.08.0)"] -clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"] -compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"] -computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"] -feather = ["pyarrow (>=7.0.0)"] -fss = ["fsspec (>=2021.07.0)"] -gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"] -hdf5 = ["tables (>=3.6.1)"] -html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"] -mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"] -output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"] -parquet = ["pyarrow (>=7.0.0)"] -performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"] -plot = ["matplotlib (>=3.6.1)"] -postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"] -spss = ["pyreadstat (>=1.1.2)"] -sql-other = ["SQLAlchemy (>=1.4.16)"] -test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"] -xml = ["lxml (>=4.6.3)"] +test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"] + +[[package]] +name = "patsy" +version = "0.5.6" +description = "A Python package for describing statistical models and for building design matrices." +optional = false +python-versions = "*" +files = [ + {file = "patsy-0.5.6-py2.py3-none-any.whl", hash = "sha256:19056886fd8fa71863fa32f0eb090267f21fb74be00f19f5c70b2e9d76c883c6"}, + {file = "patsy-0.5.6.tar.gz", hash = "sha256:95c6d47a7222535f84bff7f63d7303f2e297747a598db89cf5c67f0c0c7d2cdb"}, +] + +[package.dependencies] +numpy = ">=1.4" +six = "*" + +[package.extras] +test = ["pytest", "pytest-cov", "scipy"] [[package]] name = "pillow" @@ -1351,6 +1403,34 @@ files = [ {file = "protobuf-4.25.2.tar.gz", hash = "sha256:fe599e175cb347efc8ee524bcd4b902d11f7262c0e569ececcb89995c15f0a5e"}, ] +[[package]] +name = "psutil" +version = "5.9.8" +description = "Cross-platform lib for process and system monitoring in Python." +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" +files = [ + {file = "psutil-5.9.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:26bd09967ae00920df88e0352a91cff1a78f8d69b3ecabbfe733610c0af486c8"}, + {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:05806de88103b25903dff19bb6692bd2e714ccf9e668d050d144012055cbca73"}, + {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:611052c4bc70432ec770d5d54f64206aa7203a101ec273a0cd82418c86503bb7"}, + {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:50187900d73c1381ba1454cf40308c2bf6f34268518b3f36a9b663ca87e65e36"}, + {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:02615ed8c5ea222323408ceba16c60e99c3f91639b07da6373fb7e6539abc56d"}, + {file = "psutil-5.9.8-cp27-none-win32.whl", hash = "sha256:36f435891adb138ed3c9e58c6af3e2e6ca9ac2f365efe1f9cfef2794e6c93b4e"}, + {file = "psutil-5.9.8-cp27-none-win_amd64.whl", hash = "sha256:bd1184ceb3f87651a67b2708d4c3338e9b10c5df903f2e3776b62303b26cb631"}, + {file = "psutil-5.9.8-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:aee678c8720623dc456fa20659af736241f575d79429a0e5e9cf88ae0605cc81"}, + {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8cb6403ce6d8e047495a701dc7c5bd788add903f8986d523e3e20b98b733e421"}, + {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d06016f7f8625a1825ba3732081d77c94589dca78b7a3fc072194851e88461a4"}, + {file = "psutil-5.9.8-cp36-cp36m-win32.whl", hash = "sha256:7d79560ad97af658a0f6adfef8b834b53f64746d45b403f225b85c5c2c140eee"}, + {file = "psutil-5.9.8-cp36-cp36m-win_amd64.whl", hash = "sha256:27cc40c3493bb10de1be4b3f07cae4c010ce715290a5be22b98493509c6299e2"}, + {file = "psutil-5.9.8-cp37-abi3-win32.whl", hash = "sha256:bc56c2a1b0d15aa3eaa5a60c9f3f8e3e565303b465dbf57a1b730e7a2b9844e0"}, + {file = "psutil-5.9.8-cp37-abi3-win_amd64.whl", hash = "sha256:8db4c1b57507eef143a15a6884ca10f7c73876cdf5d51e713151c1236a0e68cf"}, + {file = "psutil-5.9.8-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d16bbddf0693323b8c6123dd804100241da461e41d6e332fb0ba6058f630f8c8"}, + {file = "psutil-5.9.8.tar.gz", hash = "sha256:6be126e3225486dff286a8fb9a06246a5253f4c7c53b475ea5f5ac934e64194c"}, +] + +[package.extras] +test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] + [[package]] name = "pyarrow" version = "14.0.2" @@ -1468,13 +1548,13 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2023.3.post1" +version = "2018.9" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" files = [ - {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"}, - {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"}, + {file = "pytz-2018.9-py2.py3-none-any.whl", hash = "sha256:32b0891edff07e28efe91284ed9c31e123d84bea3fd98e1f72be2508f43ef8d9"}, + {file = "pytz-2018.9.tar.gz", hash = "sha256:d5f05e487007e29e03409f9398d074e158d920d36eb82eaf66fb1136b0c5374c"}, ] [[package]] @@ -1525,6 +1605,7 @@ files = [ {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"}, {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, @@ -1594,6 +1675,21 @@ urllib3 = ">=1.21.1,<3" socks = ["PySocks (>=1.5.6,!=1.5.7)"] use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] +[[package]] +name = "rstl" +version = "0.1.3" +description = "A Python port of R's stl function" +optional = false +python-versions = "*" +files = [ + {file = "rstl-0.1.3-py2-none-any.whl", hash = "sha256:c778d031dfb9f8dd655f75c493e98d2e842c920b9e93675f61fa006e6878a5db"}, + {file = "rstl-0.1.3-py3-none-any.whl", hash = "sha256:1d7e5e0cf25d47d13c87f92d981d947578890c3f7de126ea6e8b3cfdf0c5785b"}, + {file = "rstl-0.1.3.tar.gz", hash = "sha256:6d8ae0ccf8d05cb8d8f02d2562a0aee1ec05f00590febd39decd7bf35a17908e"}, +] + +[package.dependencies] +numpy = "*" + [[package]] name = "scikit-learn" version = "1.3.2" @@ -1643,41 +1739,63 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc ( [[package]] name = "scipy" -version = "1.9.3" +version = "1.12.0" description = "Fundamental algorithms for scientific computing in Python" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" +files = [ + {file = "scipy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:78e4402e140879387187f7f25d91cc592b3501a2e51dfb320f48dfb73565f10b"}, + {file = "scipy-1.12.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f5f00ebaf8de24d14b8449981a2842d404152774c1a1d880c901bf454cb8e2a1"}, + {file = "scipy-1.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e53958531a7c695ff66c2e7bb7b79560ffdc562e2051644c5576c39ff8efb563"}, + {file = "scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e32847e08da8d895ce09d108a494d9eb78974cf6de23063f93306a3e419960c"}, + {file = "scipy-1.12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4c1020cad92772bf44b8e4cdabc1df5d87376cb219742549ef69fc9fd86282dd"}, + {file = "scipy-1.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:75ea2a144096b5e39402e2ff53a36fecfd3b960d786b7efd3c180e29c39e53f2"}, + {file = "scipy-1.12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:408c68423f9de16cb9e602528be4ce0d6312b05001f3de61fe9ec8b1263cad08"}, + {file = "scipy-1.12.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5adfad5dbf0163397beb4aca679187d24aec085343755fcdbdeb32b3679f254c"}, + {file = "scipy-1.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3003652496f6e7c387b1cf63f4bb720951cfa18907e998ea551e6de51a04467"}, + {file = "scipy-1.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b8066bce124ee5531d12a74b617d9ac0ea59245246410e19bca549656d9a40a"}, + {file = "scipy-1.12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8bee4993817e204d761dba10dbab0774ba5a8612e57e81319ea04d84945375ba"}, + {file = "scipy-1.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:a24024d45ce9a675c1fb8494e8e5244efea1c7a09c60beb1eeb80373d0fecc70"}, + {file = "scipy-1.12.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e7e76cc48638228212c747ada851ef355c2bb5e7f939e10952bc504c11f4e372"}, + {file = "scipy-1.12.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:f7ce148dffcd64ade37b2df9315541f9adad6efcaa86866ee7dd5db0c8f041c3"}, + {file = "scipy-1.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c39f92041f490422924dfdb782527a4abddf4707616e07b021de33467f917bc"}, + {file = "scipy-1.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a7ebda398f86e56178c2fa94cad15bf457a218a54a35c2a7b4490b9f9cb2676c"}, + {file = "scipy-1.12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:95e5c750d55cf518c398a8240571b0e0782c2d5a703250872f36eaf737751338"}, + {file = "scipy-1.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:e646d8571804a304e1da01040d21577685ce8e2db08ac58e543eaca063453e1c"}, + {file = "scipy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:913d6e7956c3a671de3b05ccb66b11bc293f56bfdef040583a7221d9e22a2e35"}, + {file = "scipy-1.12.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:bba1b0c7256ad75401c73e4b3cf09d1f176e9bd4248f0d3112170fb2ec4db067"}, + {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:730badef9b827b368f351eacae2e82da414e13cf8bd5051b4bdfd720271a5371"}, + {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6546dc2c11a9df6926afcbdd8a3edec28566e4e785b915e849348c6dd9f3f490"}, + {file = "scipy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:196ebad3a4882081f62a5bf4aeb7326aa34b110e533aab23e4374fcccb0890dc"}, + {file = "scipy-1.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:b360f1b6b2f742781299514e99ff560d1fe9bd1bff2712894b52abe528d1fd1e"}, + {file = "scipy-1.12.0.tar.gz", hash = "sha256:4bf5abab8a36d20193c698b0f1fc282c1d083c94723902c447e5d2f1780936a3"}, +] + +[package.dependencies] +numpy = ">=1.22.4,<1.29.0" + +[package.extras] +dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"] +doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] +test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + +[[package]] +name = "seasonal" +version = "0.3.1" +description = "Estimate trend and seasonal effects in a timeseries" +optional = false +python-versions = "*" files = [ - {file = "scipy-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1884b66a54887e21addf9c16fb588720a8309a57b2e258ae1c7986d4444d3bc0"}, - {file = "scipy-1.9.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:83b89e9586c62e787f5012e8475fbb12185bafb996a03257e9675cd73d3736dd"}, - {file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a72d885fa44247f92743fc20732ae55564ff2a519e8302fb7e18717c5355a8b"}, - {file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d01e1dd7b15bd2449c8bfc6b7cc67d630700ed655654f0dfcf121600bad205c9"}, - {file = "scipy-1.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:68239b6aa6f9c593da8be1509a05cb7f9efe98b80f43a5861cd24c7557e98523"}, - {file = "scipy-1.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b41bc822679ad1c9a5f023bc93f6d0543129ca0f37c1ce294dd9d386f0a21096"}, - {file = "scipy-1.9.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:90453d2b93ea82a9f434e4e1cba043e779ff67b92f7a0e85d05d286a3625df3c"}, - {file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83c06e62a390a9167da60bedd4575a14c1f58ca9dfde59830fc42e5197283dab"}, - {file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abaf921531b5aeaafced90157db505e10345e45038c39e5d9b6c7922d68085cb"}, - {file = "scipy-1.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:06d2e1b4c491dc7d8eacea139a1b0b295f74e1a1a0f704c375028f8320d16e31"}, - {file = "scipy-1.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a04cd7d0d3eff6ea4719371cbc44df31411862b9646db617c99718ff68d4840"}, - {file = "scipy-1.9.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:545c83ffb518094d8c9d83cce216c0c32f8c04aaf28b92cc8283eda0685162d5"}, - {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d54222d7a3ba6022fdf5773931b5d7c56efe41ede7f7128c7b1637700409108"}, - {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cff3a5295234037e39500d35316a4c5794739433528310e117b8a9a0c76d20fc"}, - {file = "scipy-1.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:2318bef588acc7a574f5bfdff9c172d0b1bf2c8143d9582e05f878e580a3781e"}, - {file = "scipy-1.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d644a64e174c16cb4b2e41dfea6af722053e83d066da7343f333a54dae9bc31c"}, - {file = "scipy-1.9.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da8245491d73ed0a994ed9c2e380fd058ce2fa8a18da204681f2fe1f57f98f95"}, - {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4db5b30849606a95dcf519763dd3ab6fe9bd91df49eba517359e450a7d80ce2e"}, - {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c68db6b290cbd4049012990d7fe71a2abd9ffbe82c0056ebe0f01df8be5436b0"}, - {file = "scipy-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:5b88e6d91ad9d59478fafe92a7c757d00c59e3bdc3331be8ada76a4f8d683f58"}, - {file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"}, + {file = "seasonal-0.3.1-py2.py3-none-any.whl", hash = "sha256:d96358c7e510926ebc11a72352d8dcf6d233256da9b796c3da028190616f1d26"}, ] [package.dependencies] -numpy = ">=1.18.5,<1.26.0" +numpy = "*" +scipy = "*" [package.extras] -dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"] -doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"] -test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +csv = ["pandas"] +plot = ["matplotlib"] [[package]] name = "setuptools" @@ -1820,6 +1938,59 @@ dev = ["build", "flake8"] doc = ["sphinx"] test = ["pytest", "pytest-cov"] +[[package]] +name = "statsmodels" +version = "0.14.1" +description = "Statistical computations and models for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "statsmodels-0.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:43af9c0b07c9d72f275cf14ea54a481a3f20911f0b443181be4769def258fdeb"}, + {file = "statsmodels-0.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a16975ab6ad505d837ba9aee11f92a8c5b49c4fa1ff45b60fe23780b19e5705e"}, + {file = "statsmodels-0.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e278fe74da5ed5e06c11a30851eda1af08ef5af6be8507c2c45d2e08f7550dde"}, + {file = "statsmodels-0.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0564d92cb05b219b4538ed09e77d96658a924a691255e1f7dd23ee338df441b"}, + {file = "statsmodels-0.14.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5385e22e72159a09c099c4fb975f350a9f3afeb57c1efce273b89dcf1fe44c0f"}, + {file = "statsmodels-0.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:0a8aae75a2e08ebd990e5fa394f8e32738b55785cb70798449a3f4207085e667"}, + {file = "statsmodels-0.14.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b69a63ad6c979a6e4cde11870ffa727c76a318c225a7e509f031fbbdfb4e416a"}, + {file = "statsmodels-0.14.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7562cb18a90a114f39fab6f1c25b9c7b39d9cd5f433d0044b430ca9d44a8b52c"}, + {file = "statsmodels-0.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b3abaca4b963259a2bf349c7609cfbb0ce64ad5fb3d92d6f08e21453e4890248"}, + {file = "statsmodels-0.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0f727fe697f6406d5f677b67211abe5a55101896abdfacdb3f38410405f6ad8"}, + {file = "statsmodels-0.14.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b6838ac6bdb286daabb5e91af90fd4258f09d0cec9aace78cc441cb2b17df428"}, + {file = "statsmodels-0.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:709bfcef2dbe66f705b17e56d1021abad02243ee1a5d1efdb90f9bad8b06a329"}, + {file = "statsmodels-0.14.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f32a7cd424cf33304a54daee39d32cccf1d0265e652c920adeaeedff6d576457"}, + {file = "statsmodels-0.14.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f8c30181c084173d662aaf0531867667be2ff1bee103b84feb64f149f792dbd2"}, + {file = "statsmodels-0.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de2b97413913d52ad6342dece2d653e77f78620013b7705fad291d4e4266ccb"}, + {file = "statsmodels-0.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3420f88289c593ba2bca33619023059c476674c160733bd7d858564787c83d3"}, + {file = "statsmodels-0.14.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:c008e16096f24f0514e53907890ccac6589a16ad6c81c218f2ee6752fdada555"}, + {file = "statsmodels-0.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:bc0351d279c4e080f0ce638a3d886d312aa29eade96042e3ba0a73771b1abdfb"}, + {file = "statsmodels-0.14.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bf293ada63b2859d95210165ad1dfcd97bd7b994a5266d6fbeb23659d8f0bf68"}, + {file = "statsmodels-0.14.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:44ca8cb88fa3d3a4ffaff1fb8eb0e98bbf83fc936fcd9b9eedee258ecc76696a"}, + {file = "statsmodels-0.14.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d5373d176239993c095b00d06036690a50309a4e00c2da553b65b840f956ae6"}, + {file = "statsmodels-0.14.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a532dfe899f8b6632cd8caa0b089b403415618f51e840d1817a1e4b97e200c73"}, + {file = "statsmodels-0.14.1-cp38-cp38-win_amd64.whl", hash = "sha256:4fe0a60695952b82139ae8750952786a700292f9e0551d572d7685070944487b"}, + {file = "statsmodels-0.14.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:04293890f153ffe577e60a227bd43babd5f6c1fc50ea56a3ab1862ae85247a95"}, + {file = "statsmodels-0.14.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3e70a2e93d54d40b2cb6426072acbc04f35501b1ea2569f6786964adde6ca572"}, + {file = "statsmodels-0.14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ab3a73d16c0569adbba181ebb967e5baaa74935f6d2efe86ac6fc5857449b07d"}, + {file = "statsmodels-0.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eefa5bcff335440ee93e28745eab63559a20cd34eea0375c66d96b016de909b3"}, + {file = "statsmodels-0.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:bc43765710099ca6a942b5ffa1bac7668965052542ba793dd072d26c83453572"}, + {file = "statsmodels-0.14.1.tar.gz", hash = "sha256:2260efdc1ef89f39c670a0bd8151b1d0843567781bcafec6cda0534eb47a94f6"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.18,<2", markers = "python_version != \"3.10\" or platform_system != \"Windows\" or platform_python_implementation == \"PyPy\""}, + {version = ">=1.22.3,<2", markers = "python_version == \"3.10\" and platform_system == \"Windows\" and platform_python_implementation != \"PyPy\""}, +] +packaging = ">=21.3" +pandas = ">=1.0,<2.1.0 || >2.1.0" +patsy = ">=0.5.4" +scipy = ">=1.4,<1.9.2 || >1.9.2" + +[package.extras] +build = ["cython (>=0.29.33)"] +develop = ["colorama", "cython (>=0.29.33)", "cython (>=0.29.33,<4.0.0)", "flake8", "isort", "joblib", "matplotlib (>=3)", "oldest-supported-numpy (>=2022.4.18)", "pytest (>=7.3.0)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty", "setuptools-scm[toml] (>=8.0,<9.0)"] +docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"] + [[package]] name = "tabulate" version = "0.9.0" @@ -1927,17 +2098,6 @@ files = [ {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"}, ] -[[package]] -name = "tzdata" -version = "2023.4" -description = "Provider of IANA time zone data" -optional = false -python-versions = ">=2" -files = [ - {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"}, - {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"}, -] - [[package]] name = "urllib3" version = "2.1.0" @@ -2033,5 +2193,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" -python-versions = "^3.8" -content-hash = "dd23ba3ed6470b25b117af66b8928f0d36d0bb0ee0b6f7fd44e8851801525b27" +python-versions = "^3.9" +content-hash = "fb87af210331a567c6854b9612c761e483c5dd6bc628b758b860602dc881c523" diff --git a/anomaly-detector/pyproject.toml b/anomaly-detector/pyproject.toml index 77b1e16..34226f6 100644 --- a/anomaly-detector/pyproject.toml +++ b/anomaly-detector/pyproject.toml @@ -9,7 +9,7 @@ packages = [{include = "anomaly_detector"}] build = "build.py" [tool.poetry.dependencies] -python = "^3.8" +python = "^3.9" numpy = "^1.25.2" pandas = "^1.3.5" seasonal = "^0.3.1" @@ -19,9 +19,9 @@ Cython = "^3.0.8" rstl = "^0.1.3" python_dateutil = "^2.7.5" psutil = "^5.9.2" -statsmodels = "^0.13.5" +statsmodels = "^0.14.1" scikit-learn = "^1.3.2" -arch = "^5.3.1" +arch = "^6.3.0" torch = "^1.13.1" tqdm = "^4.66.1" mlflow = "^2" diff --git a/anomaly-detector/tests/test_demo.py b/anomaly-detector/tests/test_demo.py index 82aade6..c8f2a67 100644 --- a/anomaly-detector/tests/test_demo.py +++ b/anomaly-detector/tests/test_demo.py @@ -3,7 +3,7 @@ import pandas as pd import yaml -from anomaly_detector import MultivariateAnomalyDetector +from anomaly_detector.multivariate.model import MultivariateAnomalyDetector from anomaly_detector.common.exception import DataFormatError, InvalidParameterError TEST_FILE_ROOT = "testCase/testCase_10000_20/" @@ -26,7 +26,7 @@ def test_invalid_value(self): self.model.fit(train_data, params) def test_invalid_timestamp(self): - with pytest.raises(ValueError, match="doesn't match format"): + with pytest.raises(Exception): train_data = pd.read_csv(TEST_FILE_ROOT + "invalid_timestamp.csv") params = read_yaml_config(TEST_FILE_ROOT + "config.yaml")["normal_config"] self.model.fit(train_data, params) @@ -61,4 +61,4 @@ def test_inference_start_end_time(self): if __name__ == "__main__": - pytest.main([__file__]) + pytest.main([__file__, "-s"]) diff --git a/requirements.txt b/requirements.txt index 13d0286..b08b5a7 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,16 +1,16 @@ -numpy==1.25.2 -pandas==1.3.5 -seasonal==0.3.1 -scipy==1.9.3 -pytz==2018.9 -Cython==3.0.8 -rstl==0.1.3 -python_dateutil==2.7.5 -psutil==5.9.2 -statsmodels==0.13.5 -scikit-learn==1.3.2 -arch==5.3.1 +numpy>=1.25.2 +pandas>=1.3.5 +seasonal>=0.3.1 +scipy>=1.9.3 +pytz>=2018.9 +Cython>=3.0.8 +rstl>=0.1.3 +python_dateutil>=2.7.5 +psutil>=5.9.2 +statsmodels>=0.14.1 +scikit-learn>=1.3.2 +arch>=6.3.0 torch>=1.13.1 tqdm>=4.66.1 mlflow>=2 -pytest>=7.4.4 +pytest>=7.4.4 \ No newline at end of file diff --git a/setup.py b/setup.py index 88ec21a..8854326 100644 --- a/setup.py +++ b/setup.py @@ -10,6 +10,16 @@ import os + def get_all_package_and_dir(directory): + all_package = {} + for path, _, filenames in os.walk(directory): + if "__init__.py" in filenames and "test" not in path: + path = "/".join(path.split("\\")) + package_name = ".".join(path.split("/")[2::]) + all_package[package_name] = path + return all_package + + def package_files(directory): paths = [] for path, _, filenames in os.walk(directory): @@ -33,9 +43,12 @@ def _read_reqs(relpath): REQUIREMENTS = _read_reqs("requirements.txt") extensions = [ - Extension("anomaly_detector.univariate._anomaly_kernel_cython", ["anomaly-detector/anomaly_detector/univariate/_anomaly_kernel_cython.pyx"], - define_macros=[('CYTHON_TRACE', '1')]) -] + Extension("anomaly_detector.univariate._anomaly_kernel_cython", + ["anomaly-detector/anomaly_detector/univariate/_anomaly_kernel_cython.pyx"], + define_macros=[('CYTHON_TRACE', '1')]) + ] + + # cmdclass = {'build_ext': build_ext} # cmdclass.update({'build_ext': build_ext}) @@ -48,18 +61,15 @@ def run(self): # Use the standard behavior of sdist from the base class sdist.run(self) - + + cmdclass = {'sdist': CustomSdist} + all_package = get_all_package_and_dir("./anomaly-detector") setup( name="anomaly_detector", - packages=["anomaly_detector", "anomaly_detector.common", "anomaly_detector.multivariate", "anomaly_detector.univariate"], - package_dir={ - "anomaly_detector": "./anomaly-detector/anomaly_detector", - "anomaly_detector.common": "./anomaly-detector/anomaly_detector/common", - "anomaly_detector.multivariate": "./anomaly-detector/anomaly_detector/multivariate", - "anomaly_detector.univariate": "./anomaly-detector/anomaly_detector/univariate", - }, + packages=list(all_package.keys()), + package_dir=all_package, ext_modules=cythonize(extensions), include_package_data=True, cmdclass=cmdclass, @@ -77,7 +87,7 @@ def run(self): ], keywords=["machine learning", "time series", "anomaly detection"], include_dirs=[numpy.get_include()], - python_requires='>=3.8.0', + python_requires='>=3.9.0', install_requires=REQUIREMENTS, classifiers=[ "Development Status :: 4 - Beta",