From 9c062aac29722f94882cd436290e6b3e1ddd21ef Mon Sep 17 00:00:00 2001 From: hd Date: Mon, 3 Jul 2023 17:28:40 +0200 Subject: [PATCH 01/70] Support for openmmlab detections --- supervision/detection/core.py | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index b423aaad..0d47af29 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -228,6 +228,39 @@ class Detections: class_id=yolo_nas_results.prediction.labels.astype(int), ) + @classmethod + def from_mmdet(cls, mmdet_results) -> Detections: + """ + Creates a Detections instance from a [mmdetection](https://github.com/open-mmlab/mmdetection) inference result. + Also supported for [mmyolo](https://github.com/open-mmlab/mmyolo) + + Args: + mmdet_results (mmdet.structures.DetDataSample): The output Results instance from MMDetection + + Returns: + Detections: A new Detections object. + + Example: + ```python + >>> import cv2 + >>> import supervision as sv + >>> from mmdet.apis import inference_detector, init_detector + >>> from mmengine.config import Config + + >>> image = cv2.imread(SOURCE_IMAGE_PATH) + >>> config = Config.fromfile(CONFIG) + >>> model = init_detector(config, CHECKPOINT, device=device, cfg_options={}) + >>> img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + >>> mmdet_result = inference_detector(model, img_rgb) + >>> detections = sv.Detections.from_mmdet(mmdet_result) + ``` + """ + return cls( + xyxy=mmdet_results.pred_instances.bboxes.xyxy.cpu().numpy(), + confidence=mmdet_results.pred_instances.scores.cpu().numpy(), + class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int) + ) + @classmethod def from_transformers(cls, transformers_results: dict) -> Detections: """ From ebfaee22eb6dabb1c9dd4998bcb93c396c4400ac Mon Sep 17 00:00:00 2001 From: hd Date: Mon, 3 Jul 2023 17:30:53 +0200 Subject: [PATCH 02/70] updated codebase --- supervision/detection/core.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index 0d47af29..78ce1be2 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -229,7 +229,7 @@ class Detections: ) @classmethod - def from_mmdet(cls, mmdet_results) -> Detections: + def from_mmdetection(cls, mmdet_results) -> Detections: """ Creates a Detections instance from a [mmdetection](https://github.com/open-mmlab/mmdetection) inference result. Also supported for [mmyolo](https://github.com/open-mmlab/mmyolo) @@ -258,7 +258,7 @@ class Detections: return cls( xyxy=mmdet_results.pred_instances.bboxes.xyxy.cpu().numpy(), confidence=mmdet_results.pred_instances.scores.cpu().numpy(), - class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int) + class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int), ) @classmethod From 6a8f3fc03bfbfe4ea7abd436f571a6df9e1e9c76 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Tue, 4 Jul 2023 21:47:56 +0200 Subject: [PATCH 03/70] add detection module --- supervision/metrics/__init__.py | 0 supervision/metrics/detection.py | 229 +++++++++++++++++++++++++++++++ test/metrics/__init__.py | 0 test/metrics/test_detection.py | 0 4 files changed, 229 insertions(+) create mode 100644 supervision/metrics/__init__.py create mode 100644 supervision/metrics/detection.py create mode 100644 test/metrics/__init__.py create mode 100644 test/metrics/test_detection.py diff --git a/supervision/metrics/__init__.py b/supervision/metrics/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py new file mode 100644 index 00000000..760b63c4 --- /dev/null +++ b/supervision/metrics/detection.py @@ -0,0 +1,229 @@ +from dataclasses import dataclass +from typing import Callable, List, Optional + +import matplotlib.pyplot as plt +import numpy as np +import seaborn as sn +from matplotlib import rcParams + +import supervision as sv +from supervision.detection.utils import box_iou_batch + + +@dataclass +class ConfusionMatrix: + matrix: np.ndarray + classes: List[str] + num_classes: int + conf_threshold: float + iou_threshold: float + + @classmethod + def from_detections( + cls, + predictions: List[sv.Detections], + target: List[sv.Detections], + classes: List[str], + conf_threshold: float = 0.3, + iou_threshold: float = 0.5, + ) -> "ConfusionMatrix": + """ + Calculate confusion matrix based on ground-true and detected objects across all images in concerned dataset. + + Args: + target: representing ground-truth objects across all images in concerned dataset. Each element of `target` list describe single image and has `shape = (N, 5)` where `N` is number of ground-truth objects. Each row is an sv.Detections object + predictions: representing detected objects across all images in concerned dataset. Each element of `detection_batches` list describe single image and has `shape = (M, 1)` where `M` is number of detected objects. Each row is an sv.Detections object + classes: all known classes. + conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. + iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + + Returns: + confusion_matrix: `ConfusionMatrix` object raw confusion matrix 2d `np.ndarray`. + + Example: + ``` + >>> import numpy as np + + >>> from onemetric.cv.object_detection import ConfusionMatrix + + >>> target = [ + ... np.array([ + ... [0.0, 0.0, 3.0, 3.0, 1], + ... [2.0, 2.0, 5.0, 5.0, 1], + ... [6.0, 1.0, 8.0, 3.0, 2], + ... ]), + ... np.array([ + ... [1.0, 1.0, 2.0, 2.0, 2], + ... ]), + ... ] + + >>> detection_batches = [ + ... np.array([ + ... [0.0, 0.0, 3.0, 3.0, 1, 0.9], + ... [0.1, 0.1, 3.0, 3.0, 0, 0.9], + ... [6.0, 1.0, 8.0, 3.0, 1, 0.8], + ... [1.0, 6.0, 2.0, 7.0, 1, 0.8], + ... ]), + ... np.array([ + ... [1.0, 1.0, 2.0, 2.0, 2, 0.8], + ... ]), + ... ] + + >>> confusion_matrix = ConfusionMatrix.from_detections( + ... target=target, + ... detection_batches=detection_batches, + ... num_classes=3 + ... ) + + >>> confusion_matrix.matrix + ... array([ + ... [0., 0., 0., 0.], + ... [0., 1., 0., 1.], + ... [0., 1., 1., 0.], + ... [1., 1., 0., 0.] + ... ]) + ``` + """ + # validate_detections( + # target=target, detection_batches=detection_batches + # ) + num_classes = len(classes) + matrix = np.zeros((num_classes + 1, num_classes + 1)) + for true_batch, detection_batch in zip(target, predictions): + matrix += ConfusionMatrix._evaluate_detection_batch( + true_detections=true_batch, + pred_detections=detection_batch, + num_classes=num_classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + return cls( + matrix=matrix, + num_classes=num_classes, + classes=classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + @staticmethod + def _evaluate_detection_batch( + true_detections: sv.Detections, + pred_detections: sv.Detections, + num_classes: int, + conf_threshold: float, + iou_threshold: float, + ) -> np.ndarray: + # validate_true_batch(true_batch=true_batch) + # validate_detection_batch(detection_batch=detection_batch) + + result_matrix = np.zeros((num_classes + 1, num_classes + 1)) + detection_batch_filtered = pred_detections[ + pred_detections.confidence > conf_threshold + ] + true_classes = true_detections.class_id + detection_classes = detection_batch_filtered.class_id + true_boxes = true_detections.xyxy + detection_boxes = detection_batch_filtered.xyxy + + # ConfusionMatrix._validate_classes_idx_values(classes=true_classes, num_classes=num_classes) + # ConfusionMatrix._validate_classes_idx_values(classes=detection_classes, num_classes=num_classes) + + iou_batch = box_iou_batch( + boxes_true=true_boxes, boxes_detection=detection_boxes + ) + matched_idx = np.asarray(iou_batch > iou_threshold).nonzero() + + if matched_idx[0].shape[0]: + matches = np.stack( + (matched_idx[0], matched_idx[1], iou_batch[matched_idx]), axis=1 + ) + # matches = ConfusionMatrix._drop_extra_matches(matches=matches) + else: + matches = np.zeros((0, 3)) + + matched_true_idx, matched_detection_idx, _ = matches.transpose().astype( + np.int16 + ) + + for i, true_class_value in enumerate(true_classes): + j = matched_true_idx == i + if matches.shape[0] > 0 and sum(j) == 1: + result_matrix[ + true_class_value, detection_classes[matched_detection_idx[j]] + ] += 1 # TP + else: + result_matrix[true_class_value, num_classes] += 1 # FN + + for i, detection_class_value in enumerate(detection_classes): + if not any(matched_detection_idx == i): + result_matrix[num_classes, detection_class_value] += 1 # FP + + return result_matrix + + def plot( + self, + target_path: str, + title: Optional[str] = None, + class_names: Optional[List[str]] = None, + normalize: bool = True, + ) -> None: + """ + Create confusion matrix plot and save it at selected location. + + Args: + target_path: `str` selected target location of confusion matrix plot. + title: `Optional[str]` title displayed at the top of the confusion matrix plot. Default `None`. + class_names: `Optional[List[str]]` list of class names detected my model. If non given class indexes will be used. Default `None`. + normalize: `bool` if set to `False` chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. + """ + plt.rcParams["font.family"] = "sans-serif" + plt.rcParams["font.sans-serif"] = ["Verdana"] + + array = self.matrix.copy() + + if normalize: + array = array / (array.sum(0).reshape(1, self.num_classes + 1) + EPSILON) + + array[array < 0.005] = np.nan + + fig = plt.figure(figsize=(12, 10), tight_layout=True, facecolor="white") + sn.set(font_scale=1.0 if self.num_classes < 50 else 0.8) + + labels = ( + class_names is not None + and (0 < len(class_names) < 99) + and len(class_names) == self.num_classes + ) + x_tick_labels = class_names + ["FN"] if labels else "auto" + y_tick_labels = class_names + ["FP"] if labels else "auto" + sn.heatmap( + array, + annot=self.num_classes < 30, + annot_kws={"size": 8}, + fmt=".2f", + square=True, + vmin=0, + cmap="Blues", + xticklabels=x_tick_labels, + yticklabels=y_tick_labels, + ).set_facecolor((1, 1, 1)) + + if title: + fig.axes[0].set_title(title, fontsize=20) + + fig.axes[0].set_xlabel("Predicted") + fig.axes[0].set_ylabel("True") + fig.axes[0].set_facecolor("white") + fig.savefig( + target_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True + ) + + @classmethod + def benchmark( + cls, + dataset: sv.DetectionDataset, + callback: Callable[[np.ndarray], sv.Detections], + conf_threshold: float = 0.3, + iou_threshold: float = 0.5, + ) -> "ConfusionMatrix": + pass diff --git a/test/metrics/__init__.py b/test/metrics/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py new file mode 100644 index 00000000..e69de29b From e1ee80cb37e540ece2241a31f46b120897d94ac8 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Tue, 4 Jul 2023 22:03:10 +0200 Subject: [PATCH 04/70] add docstring to from_detections --- supervision/metrics/detection.py | 58 +++++++++++++++++--------------- 1 file changed, 30 insertions(+), 28 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 760b63c4..06c6b27d 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -42,36 +42,41 @@ class ConfusionMatrix: Example: ``` - >>> import numpy as np - - >>> from onemetric.cv.object_detection import ConfusionMatrix + >>> from supervision.metrics.detection import ConfusionMatrix >>> target = [ - ... np.array([ - ... [0.0, 0.0, 3.0, 3.0, 1], - ... [2.0, 2.0, 5.0, 5.0, 1], - ... [6.0, 1.0, 8.0, 3.0, 2], - ... ]), - ... np.array([ - ... [1.0, 1.0, 2.0, 2.0, 2], - ... ]), + ... Detections(xyxy=array([ + ... [ 0.0, 0.0, 3.0, 3.0 ], + ... [ 2.0, 2.0, 5.0, 5.0 ], + ... [ 6.0, 1.0, 8.0, 3.0 ], + ... ]), confidence=array([ 1.0, 1.0, 1.0, 1.0 ]), class_id=array([1, 1, 2])), + ... Detections(xyxy=array([ + ... [ 1.0, 1.0, 2.0, 2.0 ], + ... ]), confidence=array([ 1.0 ]), class_id=array([2])) ... ] - - >>> detection_batches = [ - ... np.array([ - ... [0.0, 0.0, 3.0, 3.0, 1, 0.9], - ... [0.1, 0.1, 3.0, 3.0, 0, 0.9], - ... [6.0, 1.0, 8.0, 3.0, 1, 0.8], - ... [1.0, 6.0, 2.0, 7.0, 1, 0.8], - ... ]), - ... np.array([ - ... [1.0, 1.0, 2.0, 2.0, 2, 0.8], - ... ]), + >>> predictions = [ + ... Detections( + ... xyxy=array([ + ... [ 0.0, 0.0, 3.0, 3.0 ], + ... [ 0.1, 0.1, 3.0, 3.0 ], + ... [ 6.0, 1.0, 8.0, 3.0 ], + ... [ 1.0, 6.0, 2.0, 7.0 ], + ... ]), + ... confidence=array([ 0.9, 0.9, 0.8, 0.8 ]), + ... class_id=array([1, 0, 1, 1]) + ... ), + ... Detections( + ... xyxy=array([ + ... [ 1.0, 1.0, 2.0, 2.0 ] + ... ]), + ... confidence=array([ 0.8 ]), + ... class_id=array([2]) + ... ) ... ] >>> confusion_matrix = ConfusionMatrix.from_detections( + ... predictions=predictions, ... target=target, - ... detection_batches=detection_batches, ... num_classes=3 ... ) @@ -84,9 +89,8 @@ class ConfusionMatrix: ... ]) ``` """ - # validate_detections( - # target=target, detection_batches=detection_batches - # ) + # TODO: add validation for inputs + num_classes = len(classes) matrix = np.zeros((num_classes + 1, num_classes + 1)) for true_batch, detection_batch in zip(target, predictions): @@ -113,8 +117,6 @@ class ConfusionMatrix: conf_threshold: float, iou_threshold: float, ) -> np.ndarray: - # validate_true_batch(true_batch=true_batch) - # validate_detection_batch(detection_batch=detection_batch) result_matrix = np.zeros((num_classes + 1, num_classes + 1)) detection_batch_filtered = pred_detections[ From 43cca52a58824fc50784418a4bfba06f1ad75110 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Tue, 4 Jul 2023 22:04:38 +0200 Subject: [PATCH 05/70] add _drop_extra_matches from onemetric --- supervision/metrics/detection.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 06c6b27d..ebe3a95f 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -127,9 +127,6 @@ class ConfusionMatrix: true_boxes = true_detections.xyxy detection_boxes = detection_batch_filtered.xyxy - # ConfusionMatrix._validate_classes_idx_values(classes=true_classes, num_classes=num_classes) - # ConfusionMatrix._validate_classes_idx_values(classes=detection_classes, num_classes=num_classes) - iou_batch = box_iou_batch( boxes_true=true_boxes, boxes_detection=detection_boxes ) @@ -139,7 +136,7 @@ class ConfusionMatrix: matches = np.stack( (matched_idx[0], matched_idx[1], iou_batch[matched_idx]), axis=1 ) - # matches = ConfusionMatrix._drop_extra_matches(matches=matches) + matches = ConfusionMatrix._drop_extra_matches(matches=matches) else: matches = np.zeros((0, 3)) @@ -162,6 +159,15 @@ class ConfusionMatrix: return result_matrix + @staticmethod + def _drop_extra_matches(matches: np.ndarray) -> np.ndarray: + if matches.shape[0] > 0: + matches = matches[matches[:, 2].argsort()[::-1]] + matches = matches[np.unique(matches[:, 1], return_index=True)[1]] + matches = matches[matches[:, 2].argsort()[::-1]] + matches = matches[np.unique(matches[:, 0], return_index=True)[1]] + return matches + def plot( self, target_path: str, From c9d2b52900a4ba442b1ed660bfa0a3760adc2fb4 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Tue, 4 Jul 2023 22:07:18 +0200 Subject: [PATCH 06/70] minor doc update --- supervision/metrics/detection.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index ebe3a95f..51a9da5a 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -3,7 +3,6 @@ from typing import Callable, List, Optional import matplotlib.pyplot as plt import numpy as np -import seaborn as sn from matplotlib import rcParams import supervision as sv @@ -184,13 +183,16 @@ class ConfusionMatrix: class_names: `Optional[List[str]]` list of class names detected my model. If non given class indexes will be used. Default `None`. normalize: `bool` if set to `False` chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. """ - plt.rcParams["font.family"] = "sans-serif" - plt.rcParams["font.sans-serif"] = ["Verdana"] + # TODO: replace seaborn with matplotlib + import seaborn as sn + + rcParams["font.family"] = "sans-serif" + rcParams["font.sans-serif"] = ["Verdana"] array = self.matrix.copy() if normalize: - array = array / (array.sum(0).reshape(1, self.num_classes + 1) + EPSILON) + array = array / (array.sum(0).reshape(1, self.num_classes + 1) + 1e-8) array[array < 0.005] = np.nan From 629744dee10aae45702ff3ca210e07b0a6a60141 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 5 Jul 2023 00:04:04 +0300 Subject: [PATCH 07/70] =?UTF-8?q?feat(pyproject):=20=F0=9F=90=8D=20introdu?= =?UTF-8?q?ce=20pyproject=20toml=20file?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- poetry.lock | 2993 ++++++++++++++++++++++++++++++++++++++++++++++++ pyproject.toml | 65 ++ 2 files changed, 3058 insertions(+) create mode 100644 poetry.lock create mode 100644 pyproject.toml diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 00000000..73d6bf90 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,2993 @@ +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. + +[[package]] +name = "anyio" +version = "3.7.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.7" +files = [ + {file = "anyio-3.7.0-py3-none-any.whl", hash = "sha256:eddca883c4175f14df8aedce21054bfca3adb70ffe76a9f607aef9d7fa2ea7f0"}, + {file = "anyio-3.7.0.tar.gz", hash = "sha256:275d9973793619a5374e1c89a4f4ad3f4b0a5510a2b5b939444bee8f4c4d37ce"}, +] + +[package.dependencies] +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["Sphinx (>=6.1.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme", "sphinxcontrib-jquery"] +test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (<0.22)"] + +[[package]] +name = "appnope" +version = "0.1.3" +description = "Disable App Nap on macOS >= 10.9" +optional = false +python-versions = "*" +files = [ + {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, + {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, +] + +[[package]] +name = "argon2-cffi" +version = "21.3.0" +description = "The secure Argon2 password hashing algorithm." +optional = false +python-versions = ">=3.6" +files = [ + {file = "argon2-cffi-21.3.0.tar.gz", hash = "sha256:d384164d944190a7dd7ef22c6aa3ff197da12962bd04b17f64d4e93d934dba5b"}, + {file = "argon2_cffi-21.3.0-py3-none-any.whl", hash = "sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80"}, +] + +[package.dependencies] +argon2-cffi-bindings = "*" + +[package.extras] +dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"] +docs = ["furo", "sphinx", "sphinx-notfound-page"] +tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"] + +[[package]] +name = "argon2-cffi-bindings" +version = "21.2.0" +description = "Low-level CFFI bindings for Argon2" +optional = false +python-versions = ">=3.6" +files = [ + {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"}, + {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"}, +] + +[package.dependencies] +cffi = ">=1.0.1" + +[package.extras] +dev = ["cogapp", "pre-commit", "pytest", "wheel"] +tests = ["pytest"] + +[[package]] +name = "arrow" +version = "1.2.3" +description = "Better dates & times for Python" +optional = false +python-versions = ">=3.6" +files = [ + {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"}, + {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"}, +] + +[package.dependencies] +python-dateutil = ">=2.7.0" + +[[package]] +name = "asttokens" +version = "2.2.1" +description = "Annotate AST trees with source code positions" +optional = false +python-versions = "*" +files = [ + {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"}, + {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"}, +] + +[package.dependencies] +six = "*" + +[package.extras] +test = ["astroid", "pytest"] + +[[package]] +name = "attrs" +version = "23.1.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"}, + {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"}, +] + +[package.extras] +cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] +dev = ["attrs[docs,tests]", "pre-commit"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] +tests = ["attrs[tests-no-zope]", "zope-interface"] +tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] + +[[package]] +name = "backcall" +version = "0.2.0" +description = "Specifications for callback functions passed in to an API" +optional = false +python-versions = "*" +files = [ + {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"}, + {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"}, +] + +[[package]] +name = "beautifulsoup4" +version = "4.12.2" +description = "Screen-scraping library" +optional = false +python-versions = ">=3.6.0" +files = [ + {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"}, + {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"}, +] + +[package.dependencies] +soupsieve = ">1.2" + +[package.extras] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "bleach" +version = "6.0.0" +description = "An easy safelist-based HTML-sanitizing tool." +optional = false +python-versions = ">=3.7" +files = [ + {file = "bleach-6.0.0-py3-none-any.whl", hash = "sha256:33c16e3353dbd13028ab4799a0f89a83f113405c766e9c122df8a06f5b85b3f4"}, + {file = "bleach-6.0.0.tar.gz", hash = "sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414"}, +] + +[package.dependencies] +six = ">=1.9.0" +webencodings = "*" + +[package.extras] +css = ["tinycss2 (>=1.1.0,<1.2)"] + +[[package]] +name = "certifi" +version = "2023.5.7" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"}, + {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"}, +] + +[[package]] +name = "cffi" +version = "1.15.1" +description = "Foreign Function Interface for Python calling C code." +optional = false +python-versions = "*" +files = [ + {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"}, + {file = "cffi-1.15.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2"}, + {file = "cffi-1.15.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:9ad5db27f9cabae298d151c85cf2bad1d359a1b9c686a275df03385758e2f914"}, + {file = "cffi-1.15.1-cp27-cp27m-win32.whl", hash = "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3"}, + {file = "cffi-1.15.1-cp27-cp27m-win_amd64.whl", hash = "sha256:e00b098126fd45523dd056d2efba6c5a63b71ffe9f2bbe1a4fe1716e1d0c331e"}, + {file = "cffi-1.15.1-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:d61f4695e6c866a23a21acab0509af1cdfd2c013cf256bbf5b6b5e2695827162"}, + {file = "cffi-1.15.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:ed9cb427ba5504c1dc15ede7d516b84757c3e3d7868ccc85121d9310d27eed0b"}, + {file = "cffi-1.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d39875251ca8f612b6f33e6b1195af86d1b3e60086068be9cc053aa4376e21"}, + {file = "cffi-1.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:285d29981935eb726a4399badae8f0ffdff4f5050eaa6d0cfc3f64b857b77185"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3eb6971dcff08619f8d91607cfc726518b6fa2a9eba42856be181c6d0d9515fd"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:21157295583fe8943475029ed5abdcf71eb3911894724e360acff1d61c1d54bc"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5635bd9cb9731e6d4a1132a498dd34f764034a8ce60cef4f5319c0541159392f"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2012c72d854c2d03e45d06ae57f40d78e5770d252f195b93f581acf3ba44496e"}, + {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd86c085fae2efd48ac91dd7ccffcfc0571387fe1193d33b6394db7ef31fe2a4"}, + {file = "cffi-1.15.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:fa6693661a4c91757f4412306191b6dc88c1703f780c8234035eac011922bc01"}, + {file = "cffi-1.15.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59c0b02d0a6c384d453fece7566d1c7e6b7bae4fc5874ef2ef46d56776d61c9e"}, + {file = "cffi-1.15.1-cp310-cp310-win32.whl", hash = "sha256:cba9d6b9a7d64d4bd46167096fc9d2f835e25d7e4c121fb2ddfc6528fb0413b2"}, + {file = "cffi-1.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:ce4bcc037df4fc5e3d184794f27bdaab018943698f4ca31630bc7f84a7b69c6d"}, + {file = "cffi-1.15.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3d08afd128ddaa624a48cf2b859afef385b720bb4b43df214f85616922e6a5ac"}, + {file = "cffi-1.15.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3799aecf2e17cf585d977b780ce79ff0dc9b78d799fc694221ce814c2c19db83"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a591fe9e525846e4d154205572a029f653ada1a78b93697f3b5a8f1f2bc055b9"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3548db281cd7d2561c9ad9984681c95f7b0e38881201e157833a2342c30d5e8c"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91fc98adde3d7881af9b59ed0294046f3806221863722ba7d8d120c575314325"}, + {file = "cffi-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94411f22c3985acaec6f83c6df553f2dbe17b698cc7f8ae751ff2237d96b9e3c"}, + {file = "cffi-1.15.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:03425bdae262c76aad70202debd780501fabeaca237cdfddc008987c0e0f59ef"}, + {file = "cffi-1.15.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:cc4d65aeeaa04136a12677d3dd0b1c0c94dc43abac5860ab33cceb42b801c1e8"}, + {file = "cffi-1.15.1-cp311-cp311-win32.whl", hash = "sha256:a0f100c8912c114ff53e1202d0078b425bee3649ae34d7b070e9697f93c5d52d"}, + {file = "cffi-1.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:04ed324bda3cda42b9b695d51bb7d54b680b9719cfab04227cdd1e04e5de3104"}, + {file = "cffi-1.15.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50a74364d85fd319352182ef59c5c790484a336f6db772c1a9231f1c3ed0cbd7"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e263d77ee3dd201c3a142934a086a4450861778baaeeb45db4591ef65550b0a6"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cec7d9412a9102bdc577382c3929b337320c4c4c4849f2c5cdd14d7368c5562d"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4289fc34b2f5316fbb762d75362931e351941fa95fa18789191b33fc4cf9504a"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:173379135477dc8cac4bc58f45db08ab45d228b3363adb7af79436135d028405"}, + {file = "cffi-1.15.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6975a3fac6bc83c4a65c9f9fcab9e47019a11d3d2cf7f3c0d03431bf145a941e"}, + {file = "cffi-1.15.1-cp36-cp36m-win32.whl", hash = "sha256:2470043b93ff09bf8fb1d46d1cb756ce6132c54826661a32d4e4d132e1977adf"}, + {file = "cffi-1.15.1-cp36-cp36m-win_amd64.whl", hash = "sha256:30d78fbc8ebf9c92c9b7823ee18eb92f2e6ef79b45ac84db507f52fbe3ec4497"}, + {file = "cffi-1.15.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:198caafb44239b60e252492445da556afafc7d1e3ab7a1fb3f0584ef6d742375"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5ef34d190326c3b1f822a5b7a45f6c4535e2f47ed06fec77d3d799c450b2651e"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8102eaf27e1e448db915d08afa8b41d6c7ca7a04b7d73af6514df10a3e74bd82"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5df2768244d19ab7f60546d0c7c63ce1581f7af8b5de3eb3004b9b6fc8a9f84b"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8c4917bd7ad33e8eb21e9a5bbba979b49d9a97acb3a803092cbc1133e20343c"}, + {file = "cffi-1.15.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e2642fe3142e4cc4af0799748233ad6da94c62a8bec3a6648bf8ee68b1c7426"}, + {file = "cffi-1.15.1-cp37-cp37m-win32.whl", hash = "sha256:e229a521186c75c8ad9490854fd8bbdd9a0c9aa3a524326b55be83b54d4e0ad9"}, + {file = "cffi-1.15.1-cp37-cp37m-win_amd64.whl", hash = "sha256:a0b71b1b8fbf2b96e41c4d990244165e2c9be83d54962a9a1d118fd8657d2045"}, + {file = "cffi-1.15.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:320dab6e7cb2eacdf0e658569d2575c4dad258c0fcc794f46215e1e39f90f2c3"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1e74c6b51a9ed6589199c787bf5f9875612ca4a8a0785fb2d4a84429badaf22a"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5c84c68147988265e60416b57fc83425a78058853509c1b0629c180094904a5"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3b926aa83d1edb5aa5b427b4053dc420ec295a08e40911296b9eb1b6170f6cca"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:87c450779d0914f2861b8526e035c5e6da0a3199d8f1add1a665e1cbc6fc6d02"}, + {file = "cffi-1.15.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f2c9f67e9821cad2e5f480bc8d83b8742896f1242dba247911072d4fa94c192"}, + {file = "cffi-1.15.1-cp38-cp38-win32.whl", hash = "sha256:8b7ee99e510d7b66cdb6c593f21c043c248537a32e0bedf02e01e9553a172314"}, + {file = "cffi-1.15.1-cp38-cp38-win_amd64.whl", hash = "sha256:00a9ed42e88df81ffae7a8ab6d9356b371399b91dbdf0c3cb1e84c03a13aceb5"}, + {file = "cffi-1.15.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:54a2db7b78338edd780e7ef7f9f6c442500fb0d41a5a4ea24fff1c929d5af585"}, + {file = "cffi-1.15.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fcd131dd944808b5bdb38e6f5b53013c5aa4f334c5cad0c72742f6eba4b73db0"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7473e861101c9e72452f9bf8acb984947aa1661a7704553a9f6e4baa5ba64415"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c9a799e985904922a4d207a94eae35c78ebae90e128f0c4e521ce339396be9d"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3bcde07039e586f91b45c88f8583ea7cf7a0770df3a1649627bf598332cb6984"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33ab79603146aace82c2427da5ca6e58f2b3f2fb5da893ceac0c42218a40be35"}, + {file = "cffi-1.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d598b938678ebf3c67377cdd45e09d431369c3b1a5b331058c338e201f12b27"}, + {file = "cffi-1.15.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db0fbb9c62743ce59a9ff687eb5f4afbe77e5e8403d6697f7446e5f609976f76"}, + {file = "cffi-1.15.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:98d85c6a2bef81588d9227dde12db8a7f47f639f4a17c9ae08e773aa9c697bf3"}, + {file = "cffi-1.15.1-cp39-cp39-win32.whl", hash = "sha256:40f4774f5a9d4f5e344f31a32b5096977b5d48560c5592e2f3d2c4374bd543ee"}, + {file = "cffi-1.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:70df4e3b545a17496c9b3f41f5115e69a4f2e77e94e1d2a8e1070bc0c38c8a3c"}, + {file = "cffi-1.15.1.tar.gz", hash = "sha256:d400bfb9a37b1351253cb402671cea7e89bdecc294e8016a707f6d1d8ac934f9"}, +] + +[package.dependencies] +pycparser = "*" + +[[package]] +name = "charset-normalizer" +version = "3.1.0" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "charset-normalizer-3.1.0.tar.gz", hash = "sha256:34e0a2f9c370eb95597aae63bf85eb5e96826d81e3dcf88b8886012906f509b5"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e0ac8959c929593fee38da1c2b64ee9778733cdf03c482c9ff1d508b6b593b2b"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d7fc3fca01da18fbabe4625d64bb612b533533ed10045a2ac3dd194bfa656b60"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:04eefcee095f58eaabe6dc3cc2262f3bcd776d2c67005880894f447b3f2cb9c1"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20064ead0717cf9a73a6d1e779b23d149b53daf971169289ed2ed43a71e8d3b0"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1435ae15108b1cb6fffbcea2af3d468683b7afed0169ad718451f8db5d1aff6f"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c84132a54c750fda57729d1e2599bb598f5fa0344085dbde5003ba429a4798c0"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75f2568b4189dda1c567339b48cba4ac7384accb9c2a7ed655cd86b04055c795"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11d3bcb7be35e7b1bba2c23beedac81ee893ac9871d0ba79effc7fc01167db6c"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:891cf9b48776b5c61c700b55a598621fdb7b1e301a550365571e9624f270c203"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5f008525e02908b20e04707a4f704cd286d94718f48bb33edddc7d7b584dddc1"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:b06f0d3bf045158d2fb8837c5785fe9ff9b8c93358be64461a1089f5da983137"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:49919f8400b5e49e961f320c735388ee686a62327e773fa5b3ce6721f7e785ce"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:22908891a380d50738e1f978667536f6c6b526a2064156203d418f4856d6e86a"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-win32.whl", hash = "sha256:12d1a39aa6b8c6f6248bb54550efcc1c38ce0d8096a146638fd4738e42284448"}, + {file = "charset_normalizer-3.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:65ed923f84a6844de5fd29726b888e58c62820e0769b76565480e1fdc3d062f8"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9a3267620866c9d17b959a84dd0bd2d45719b817245e49371ead79ed4f710d19"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6734e606355834f13445b6adc38b53c0fd45f1a56a9ba06c2058f86893ae8017"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8303414c7b03f794347ad062c0516cee0e15f7a612abd0ce1e25caf6ceb47df"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf53a6cebad0eae578f062c7d462155eada9c172bd8c4d250b8c1d8eb7f916a"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dc5b6a8ecfdc5748a7e429782598e4f17ef378e3e272eeb1340ea57c9109f41"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e1b25e3ad6c909f398df8921780d6a3d120d8c09466720226fc621605b6f92b1"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ca564606d2caafb0abe6d1b5311c2649e8071eb241b2d64e75a0d0065107e62"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b82fab78e0b1329e183a65260581de4375f619167478dddab510c6c6fb04d9b6"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:bd7163182133c0c7701b25e604cf1611c0d87712e56e88e7ee5d72deab3e76b5"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:11d117e6c63e8f495412d37e7dc2e2fff09c34b2d09dbe2bee3c6229577818be"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:cf6511efa4801b9b38dc5546d7547d5b5c6ef4b081c60b23e4d941d0eba9cbeb"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:abc1185d79f47c0a7aaf7e2412a0eb2c03b724581139193d2d82b3ad8cbb00ac"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:cb7b2ab0188829593b9de646545175547a70d9a6e2b63bf2cd87a0a391599324"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-win32.whl", hash = "sha256:c36bcbc0d5174a80d6cccf43a0ecaca44e81d25be4b7f90f0ed7bcfbb5a00909"}, + {file = "charset_normalizer-3.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:cca4def576f47a09a943666b8f829606bcb17e2bc2d5911a46c8f8da45f56755"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0c95f12b74681e9ae127728f7e5409cbbef9cd914d5896ef238cc779b8152373"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fca62a8301b605b954ad2e9c3666f9d97f63872aa4efcae5492baca2056b74ab"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac0aa6cd53ab9a31d397f8303f92c42f534693528fafbdb997c82bae6e477ad9"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c3af8e0f07399d3176b179f2e2634c3ce9c1301379a6b8c9c9aeecd481da494f"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a5fc78f9e3f501a1614a98f7c54d3969f3ad9bba8ba3d9b438c3bc5d047dd28"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:628c985afb2c7d27a4800bfb609e03985aaecb42f955049957814e0491d4006d"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:74db0052d985cf37fa111828d0dd230776ac99c740e1a758ad99094be4f1803d"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:1e8fcdd8f672a1c4fc8d0bd3a2b576b152d2a349782d1eb0f6b8e52e9954731d"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:04afa6387e2b282cf78ff3dbce20f0cc071c12dc8f685bd40960cc68644cfea6"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:dd5653e67b149503c68c4018bf07e42eeed6b4e956b24c00ccdf93ac79cdff84"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d2686f91611f9e17f4548dbf050e75b079bbc2a82be565832bc8ea9047b61c8c"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-win32.whl", hash = "sha256:4155b51ae05ed47199dc5b2a4e62abccb274cee6b01da5b895099b61b1982974"}, + {file = "charset_normalizer-3.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:322102cdf1ab682ecc7d9b1c5eed4ec59657a65e1c146a0da342b78f4112db23"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e633940f28c1e913615fd624fcdd72fdba807bf53ea6925d6a588e84e1151531"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3a06f32c9634a8705f4ca9946d667609f52cf130d5548881401f1eb2c39b1e2c"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7381c66e0561c5757ffe616af869b916c8b4e42b367ab29fedc98481d1e74e14"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3573d376454d956553c356df45bb824262c397c6e26ce43e8203c4c540ee0acb"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e89df2958e5159b811af9ff0f92614dabf4ff617c03a4c1c6ff53bf1c399e0e1"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:78cacd03e79d009d95635e7d6ff12c21eb89b894c354bd2b2ed0b4763373693b"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de5695a6f1d8340b12a5d6d4484290ee74d61e467c39ff03b39e30df62cf83a0"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c60b9c202d00052183c9be85e5eaf18a4ada0a47d188a83c8f5c5b23252f649"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f645caaf0008bacf349875a974220f1f1da349c5dbe7c4ec93048cdc785a3326"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ea9f9c6034ea2d93d9147818f17c2a0860d41b71c38b9ce4d55f21b6f9165a11"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:80d1543d58bd3d6c271b66abf454d437a438dff01c3e62fdbcd68f2a11310d4b"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:73dc03a6a7e30b7edc5b01b601e53e7fc924b04e1835e8e407c12c037e81adbd"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6f5c2e7bc8a4bf7c426599765b1bd33217ec84023033672c1e9a8b35eaeaaaf8"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-win32.whl", hash = "sha256:12a2b561af122e3d94cdb97fe6fb2bb2b82cef0cdca131646fdb940a1eda04f0"}, + {file = "charset_normalizer-3.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3160a0fd9754aab7d47f95a6b63ab355388d890163eb03b2d2b87ab0a30cfa59"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:38e812a197bf8e71a59fe55b757a84c1f946d0ac114acafaafaf21667a7e169e"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6baf0baf0d5d265fa7944feb9f7451cc316bfe30e8df1a61b1bb08577c554f31"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8f25e17ab3039b05f762b0a55ae0b3632b2e073d9c8fc88e89aca31a6198e88f"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3747443b6a904001473370d7810aa19c3a180ccd52a7157aacc264a5ac79265e"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b116502087ce8a6b7a5f1814568ccbd0e9f6cfd99948aa59b0e241dc57cf739f"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d16fd5252f883eb074ca55cb622bc0bee49b979ae4e8639fff6ca3ff44f9f854"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fa558996782fc226b529fdd2ed7866c2c6ec91cee82735c98a197fae39f706"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6f6c7a8a57e9405cad7485f4c9d3172ae486cfef1344b5ddd8e5239582d7355e"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ac3775e3311661d4adace3697a52ac0bab17edd166087d493b52d4f4f553f9f0"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:10c93628d7497c81686e8e5e557aafa78f230cd9e77dd0c40032ef90c18f2230"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:6f4f4668e1831850ebcc2fd0b1cd11721947b6dc7c00bf1c6bd3c929ae14f2c7"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:0be65ccf618c1e7ac9b849c315cc2e8a8751d9cfdaa43027d4f6624bd587ab7e"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:53d0a3fa5f8af98a1e261de6a3943ca631c526635eb5817a87a59d9a57ebf48f"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-win32.whl", hash = "sha256:a04f86f41a8916fe45ac5024ec477f41f886b3c435da2d4e3d2709b22ab02af1"}, + {file = "charset_normalizer-3.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:830d2948a5ec37c386d3170c483063798d7879037492540f10a475e3fd6f244b"}, + {file = "charset_normalizer-3.1.0-py3-none-any.whl", hash = "sha256:3d9098b479e78c85080c98e1e35ff40b4a31d8953102bb0fd7d1b6f8a2111a3d"}, +] + +[[package]] +name = "click" +version = "8.1.3" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.7" +files = [ + {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"}, + {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "comm" +version = "0.1.3" +description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." +optional = false +python-versions = ">=3.6" +files = [ + {file = "comm-0.1.3-py3-none-any.whl", hash = "sha256:16613c6211e20223f215fc6d3b266a247b6e2641bf4e0a3ad34cb1aff2aa3f37"}, + {file = "comm-0.1.3.tar.gz", hash = "sha256:a61efa9daffcfbe66fd643ba966f846a624e4e6d6767eda9cf6e993aadaab93e"}, +] + +[package.dependencies] +traitlets = ">=5.3" + +[package.extras] +lint = ["black (>=22.6.0)", "mdformat (>0.7)", "mdformat-gfm (>=0.3.5)", "ruff (>=0.0.156)"] +test = ["pytest"] +typing = ["mypy (>=0.990)"] + +[[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-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-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-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-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 = "cryptography" +version = "41.0.1" +description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." +optional = false +python-versions = ">=3.7" +files = [ + {file = "cryptography-41.0.1-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:f73bff05db2a3e5974a6fd248af2566134d8981fd7ab012e5dd4ddb1d9a70699"}, + {file = "cryptography-41.0.1-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:1a5472d40c8f8e91ff7a3d8ac6dfa363d8e3138b961529c996f3e2df0c7a411a"}, + {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fa01527046ca5facdf973eef2535a27fec4cb651e4daec4d043ef63f6ecd4ca"}, + {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b46e37db3cc267b4dea1f56da7346c9727e1209aa98487179ee8ebed09d21e43"}, + {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d198820aba55660b4d74f7b5fd1f17db3aa5eb3e6893b0a41b75e84e4f9e0e4b"}, + {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:948224d76c4b6457349d47c0c98657557f429b4e93057cf5a2f71d603e2fc3a3"}, + {file = "cryptography-41.0.1-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:059e348f9a3c1950937e1b5d7ba1f8e968508ab181e75fc32b879452f08356db"}, + {file = "cryptography-41.0.1-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:b4ceb5324b998ce2003bc17d519080b4ec8d5b7b70794cbd2836101406a9be31"}, + {file = "cryptography-41.0.1-cp37-abi3-win32.whl", hash = "sha256:8f4ab7021127a9b4323537300a2acfb450124b2def3756f64dc3a3d2160ee4b5"}, + {file = "cryptography-41.0.1-cp37-abi3-win_amd64.whl", hash = "sha256:1fee5aacc7367487b4e22484d3c7e547992ed726d14864ee33c0176ae43b0d7c"}, + {file = "cryptography-41.0.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9a6c7a3c87d595608a39980ebaa04d5a37f94024c9f24eb7d10262b92f739ddb"}, + {file = "cryptography-41.0.1-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5d092fdfedaec4cbbffbf98cddc915ba145313a6fdaab83c6e67f4e6c218e6f3"}, + {file = "cryptography-41.0.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1a8e6c2de6fbbcc5e14fd27fb24414507cb3333198ea9ab1258d916f00bc3039"}, + {file = "cryptography-41.0.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cb33ccf15e89f7ed89b235cff9d49e2e62c6c981a6061c9c8bb47ed7951190bc"}, + {file = "cryptography-41.0.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f0ff6e18d13a3de56f609dd1fd11470918f770c6bd5d00d632076c727d35485"}, + {file = "cryptography-41.0.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7bfc55a5eae8b86a287747053140ba221afc65eb06207bedf6e019b8934b477c"}, + {file = "cryptography-41.0.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:eb8163f5e549a22888c18b0d53d6bb62a20510060a22fd5a995ec8a05268df8a"}, + {file = "cryptography-41.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:8dde71c4169ec5ccc1087bb7521d54251c016f126f922ab2dfe6649170a3b8c5"}, + {file = "cryptography-41.0.1.tar.gz", hash = "sha256:d34579085401d3f49762d2f7d6634d6b6c2ae1242202e860f4d26b046e3a1006"}, +] + +[package.dependencies] +cffi = ">=1.12" + +[package.extras] +docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"] +docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"] +nox = ["nox"] +pep8test = ["black", "check-sdist", "mypy", "ruff"] +sdist = ["build"] +ssh = ["bcrypt (>=3.1.5)"] +test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"] +test-randomorder = ["pytest-randomly"] + +[[package]] +name = "cycler" +version = "0.11.0" +description = "Composable style cycles" +optional = false +python-versions = ">=3.6" +files = [ + {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"}, + {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"}, +] + +[[package]] +name = "debugpy" +version = "1.6.7" +description = "An implementation of the Debug Adapter Protocol for Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "debugpy-1.6.7-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:b3e7ac809b991006ad7f857f016fa92014445085711ef111fdc3f74f66144096"}, + {file = "debugpy-1.6.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3876611d114a18aafef6383695dfc3f1217c98a9168c1aaf1a02b01ec7d8d1e"}, + {file = "debugpy-1.6.7-cp310-cp310-win32.whl", hash = "sha256:33edb4afa85c098c24cc361d72ba7c21bb92f501104514d4ffec1fb36e09c01a"}, + {file = "debugpy-1.6.7-cp310-cp310-win_amd64.whl", hash = "sha256:ed6d5413474e209ba50b1a75b2d9eecf64d41e6e4501977991cdc755dc83ab0f"}, + {file = "debugpy-1.6.7-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:38ed626353e7c63f4b11efad659be04c23de2b0d15efff77b60e4740ea685d07"}, + {file = "debugpy-1.6.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:279d64c408c60431c8ee832dfd9ace7c396984fd7341fa3116aee414e7dcd88d"}, + {file = "debugpy-1.6.7-cp37-cp37m-win32.whl", hash = "sha256:dbe04e7568aa69361a5b4c47b4493d5680bfa3a911d1e105fbea1b1f23f3eb45"}, + {file = "debugpy-1.6.7-cp37-cp37m-win_amd64.whl", hash = "sha256:f90a2d4ad9a035cee7331c06a4cf2245e38bd7c89554fe3b616d90ab8aab89cc"}, + {file = "debugpy-1.6.7-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:5224eabbbeddcf1943d4e2821876f3e5d7d383f27390b82da5d9558fd4eb30a9"}, + {file = "debugpy-1.6.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bae1123dff5bfe548ba1683eb972329ba6d646c3a80e6b4c06cd1b1dd0205e9b"}, + {file = "debugpy-1.6.7-cp38-cp38-win32.whl", hash = "sha256:9cd10cf338e0907fdcf9eac9087faa30f150ef5445af5a545d307055141dd7a4"}, + {file = "debugpy-1.6.7-cp38-cp38-win_amd64.whl", hash = "sha256:aaf6da50377ff4056c8ed470da24632b42e4087bc826845daad7af211e00faad"}, + {file = "debugpy-1.6.7-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:0679b7e1e3523bd7d7869447ec67b59728675aadfc038550a63a362b63029d2c"}, + {file = "debugpy-1.6.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de86029696e1b3b4d0d49076b9eba606c226e33ae312a57a46dca14ff370894d"}, + {file = "debugpy-1.6.7-cp39-cp39-win32.whl", hash = "sha256:d71b31117779d9a90b745720c0eab54ae1da76d5b38c8026c654f4a066b0130a"}, + {file = "debugpy-1.6.7-cp39-cp39-win_amd64.whl", hash = "sha256:c0ff93ae90a03b06d85b2c529eca51ab15457868a377c4cc40a23ab0e4e552a3"}, + {file = "debugpy-1.6.7-py2.py3-none-any.whl", hash = "sha256:53f7a456bc50706a0eaabecf2d3ce44c4d5010e46dfc65b6b81a518b42866267"}, + {file = "debugpy-1.6.7.zip", hash = "sha256:c4c2f0810fa25323abfdfa36cbbbb24e5c3b1a42cb762782de64439c575d67f2"}, +] + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +optional = false +python-versions = ">=3.5" +files = [ + {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, + {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, +] + +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + +[[package]] +name = "docutils" +version = "0.20.1" +description = "Docutils -- Python Documentation Utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "docutils-0.20.1-py3-none-any.whl", hash = "sha256:96f387a2c5562db4476f09f13bbab2192e764cac08ebbf3a34a95d9b1e4a59d6"}, + {file = "docutils-0.20.1.tar.gz", hash = "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"}, +] + +[[package]] +name = "exceptiongroup" +version = "1.1.2" +description = "Backport of PEP 654 (exception groups)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "exceptiongroup-1.1.2-py3-none-any.whl", hash = "sha256:e346e69d186172ca7cf029c8c1d16235aa0e04035e5750b4b95039e65204328f"}, + {file = "exceptiongroup-1.1.2.tar.gz", hash = "sha256:12c3e887d6485d16943a309616de20ae5582633e0a2eda17f4e10fd61c1e8af5"}, +] + +[package.extras] +test = ["pytest (>=6)"] + +[[package]] +name = "executing" +version = "1.2.0" +description = "Get the currently executing AST node of a frame, and other information" +optional = false +python-versions = "*" +files = [ + {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"}, + {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"}, +] + +[package.extras] +tests = ["asttokens", "littleutils", "pytest", "rich"] + +[[package]] +name = "fastjsonschema" +version = "2.17.1" +description = "Fastest Python implementation of JSON schema" +optional = false +python-versions = "*" +files = [ + {file = "fastjsonschema-2.17.1-py3-none-any.whl", hash = "sha256:4b90b252628ca695280924d863fe37234eebadc29c5360d322571233dc9746e0"}, + {file = "fastjsonschema-2.17.1.tar.gz", hash = "sha256:f4eeb8a77cef54861dbf7424ac8ce71306f12cbb086c45131bcba2c6a4f726e3"}, +] + +[package.extras] +devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + +[[package]] +name = "fonttools" +version = "4.40.0" +description = "Tools to manipulate font files" +optional = false +python-versions = ">=3.8" +files = [ + {file = "fonttools-4.40.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b802dcbf9bcff74672f292b2466f6589ab8736ce4dcf36f48eb994c2847c4b30"}, + {file = "fonttools-4.40.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7f6e3fa3da923063c286320e728ba2270e49c73386e3a711aa680f4b0747d692"}, + {file = "fonttools-4.40.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5fdf60f8a5c6bcce7d024a33f7e4bc7921f5b74e8ea13bccd204f2c8b86f3470"}, + {file = "fonttools-4.40.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91784e21a1a085fac07c6a407564f4a77feb471b5954c9ee55a4f9165151f6c1"}, + {file = "fonttools-4.40.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:05171f3c546f64d78569f10adc0de72561882352cac39ec7439af12304d8d8c0"}, + {file = "fonttools-4.40.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7449e5e306f3a930a8944c85d0cbc8429cba13503372a1a40f23124d6fb09b58"}, + {file = "fonttools-4.40.0-cp310-cp310-win32.whl", hash = "sha256:bae8c13abbc2511e9a855d2142c0ab01178dd66b1a665798f357da0d06253e0d"}, + {file = "fonttools-4.40.0-cp310-cp310-win_amd64.whl", hash = "sha256:425b74a608427499b0e45e433c34ddc350820b6f25b7c8761963a08145157a66"}, + {file = "fonttools-4.40.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:00ab569b2a3e591e00425023ade87e8fef90380c1dde61be7691cb524ca5f743"}, + {file = "fonttools-4.40.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:18ea64ac43e94c9e0c23d7a9475f1026be0e25b10dda8f236fc956188761df97"}, + {file = "fonttools-4.40.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:022c4a16b412293e7f1ce21b8bab7a6f9d12c4ffdf171fdc67122baddb973069"}, + {file = "fonttools-4.40.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:530c5d35109f3e0cea2535742d6a3bc99c0786cf0cbd7bb2dc9212387f0d908c"}, + {file = "fonttools-4.40.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5e00334c66f4e83535384cb5339526d01d02d77f142c23b2f97bd6a4f585497a"}, + {file = "fonttools-4.40.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:eb52c10fda31159c22c7ed85074e05f8b97da8773ea461706c273e31bcbea836"}, + {file = "fonttools-4.40.0-cp311-cp311-win32.whl", hash = "sha256:6a8d71b9a5c884c72741868e845c0e563c5d83dcaf10bb0ceeec3b4b2eb14c67"}, + {file = "fonttools-4.40.0-cp311-cp311-win_amd64.whl", hash = "sha256:15abb3d055c1b2dff9ce376b6c3db10777cb74b37b52b78f61657634fd348a0d"}, + {file = "fonttools-4.40.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:14037c31138fbd21847ad5e5441dfdde003e0a8f3feb5812a1a21fd1c255ffbd"}, + {file = "fonttools-4.40.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:94c915f6716589f78bc00fbc14c5b8de65cfd11ee335d32504f1ef234524cb24"}, + {file = "fonttools-4.40.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37467cee0f32cada2ec08bc16c9c31f9b53ea54b2f5604bf25a1246b5f50593a"}, + {file = "fonttools-4.40.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56d4d85f5374b45b08d2f928517d1e313ea71b4847240398decd0ab3ebbca885"}, + {file = "fonttools-4.40.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8c4305b171b61040b1ee75d18f9baafe58bd3b798d1670078efe2c92436bfb63"}, + {file = "fonttools-4.40.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a954b90d1473c85a22ecf305761d9fd89da93bbd31dae86e7dea436ad2cb5dc9"}, + {file = "fonttools-4.40.0-cp38-cp38-win32.whl", hash = "sha256:1bc4c5b147be8dbc5df9cc8ac5e93ee914ad030fe2a201cc8f02f499db71011d"}, + {file = "fonttools-4.40.0-cp38-cp38-win_amd64.whl", hash = "sha256:8a917828dbfdb1cbe50cf40eeae6fbf9c41aef9e535649ed8f4982b2ef65c091"}, + {file = "fonttools-4.40.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:882983279bf39afe4e945109772c2ffad2be2c90983d6559af8b75c19845a80a"}, + {file = "fonttools-4.40.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c55f1b4109dbc3aeb496677b3e636d55ef46dc078c2a5e3f3db4e90f1c6d2907"}, + {file = "fonttools-4.40.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec468c022d09f1817c691cf884feb1030ef6f1e93e3ea6831b0d8144c06480d1"}, + {file = "fonttools-4.40.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d5adf4ba114f028fc3f5317a221fd8b0f4ef7a2e5524a2b1e0fd891b093791a"}, + {file = "fonttools-4.40.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:aa83b3f151bc63970f39b2b42a06097c5a22fd7ed9f7ba008e618de4503d3895"}, + {file = "fonttools-4.40.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:97d95b8301b62bdece1af943b88bcb3680fd385f88346a4a899ee145913b414a"}, + {file = "fonttools-4.40.0-cp39-cp39-win32.whl", hash = "sha256:1a003608400dd1cca3e089e8c94973c6b51a4fb1ef00ff6d7641617b9242e637"}, + {file = "fonttools-4.40.0-cp39-cp39-win_amd64.whl", hash = "sha256:7961575221e3da0841c75da53833272c520000d76f7f71274dbf43370f8a1065"}, + {file = "fonttools-4.40.0-py3-none-any.whl", hash = "sha256:200729d12461e2038700d31f0d49ad5a7b55855dec7525074979a06b46f88505"}, + {file = "fonttools-4.40.0.tar.gz", hash = "sha256:337b6e83d7ee73c40ea62407f2ce03b07c3459e213b6f332b94a69923b9e1cb9"}, +] + +[package.extras] +all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.0.0)", "xattr", "zopfli (>=0.1.4)"] +graphite = ["lz4 (>=1.7.4.2)"] +interpolatable = ["munkres", "scipy"] +lxml = ["lxml (>=4.0,<5)"] +pathops = ["skia-pathops (>=0.5.0)"] +plot = ["matplotlib"] +repacker = ["uharfbuzz (>=0.23.0)"] +symfont = ["sympy"] +type1 = ["xattr"] +ufo = ["fs (>=2.2.0,<3)"] +unicode = ["unicodedata2 (>=15.0.0)"] +woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] + +[[package]] +name = "fqdn" +version = "1.5.1" +description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" +optional = false +python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" +files = [ + {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, + {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, +] + +[[package]] +name = "ghp-import" +version = "2.1.0" +description = "Copy your docs directly to the gh-pages branch." +optional = false +python-versions = "*" +files = [ + {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"}, + {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"}, +] + +[package.dependencies] +python-dateutil = ">=2.8.1" + +[package.extras] +dev = ["flake8", "markdown", "twine", "wheel"] + +[[package]] +name = "griffe" +version = "0.31.0" +description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." +optional = false +python-versions = ">=3.8" +files = [ + {file = "griffe-0.31.0-py3-none-any.whl", hash = "sha256:de6e659487497c0e73459d370f40bfda7d6f9f6cec43a687de8a110ec72a2c4f"}, + {file = "griffe-0.31.0.tar.gz", hash = "sha256:b51f6e9541ce9cb9c08580917971cd4b76b6d88e2469822d612b614fb96be776"}, +] + +[package.dependencies] +colorama = ">=0.4" + +[[package]] +name = "idna" +version = "3.4" +description = "Internationalized Domain Names in Applications (IDNA)" +optional = false +python-versions = ">=3.5" +files = [ + {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"}, + {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"}, +] + +[[package]] +name = "importlib-metadata" +version = "6.7.0" +description = "Read metadata from Python packages" +optional = false +python-versions = ">=3.7" +files = [ + {file = "importlib_metadata-6.7.0-py3-none-any.whl", hash = "sha256:cb52082e659e97afc5dac71e79de97d8681de3aa07ff18578330904a9d18e5b5"}, + {file = "importlib_metadata-6.7.0.tar.gz", hash = "sha256:1aaf550d4f73e5d6783e7acb77aec43d49da8017410afae93822cc9cca98c4d4"}, +] + +[package.dependencies] +zipp = ">=0.5" + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +perf = ["ipython"] +testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"] + +[[package]] +name = "importlib-resources" +version = "5.12.0" +description = "Read resources from Python packages" +optional = false +python-versions = ">=3.7" +files = [ + {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"}, + {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"}, +] + +[package.dependencies] +zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + +[[package]] +name = "ipykernel" +version = "6.24.0" +description = "IPython Kernel for Jupyter" +optional = false +python-versions = ">=3.8" +files = [ + {file = "ipykernel-6.24.0-py3-none-any.whl", hash = "sha256:2f5fffc7ad8f1fd5aadb4e171ba9129d9668dbafa374732cf9511ada52d6547f"}, + {file = "ipykernel-6.24.0.tar.gz", hash = "sha256:29cea0a716b1176d002a61d0b0c851f34536495bc4ef7dd0222c88b41b816123"}, +] + +[package.dependencies] +appnope = {version = "*", markers = "platform_system == \"Darwin\""} +comm = ">=0.1.1" +debugpy = ">=1.6.5" +ipython = ">=7.23.1" +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +matplotlib-inline = ">=0.1" +nest-asyncio = "*" +packaging = "*" +psutil = "*" +pyzmq = ">=20" +tornado = ">=6.1" +traitlets = ">=5.4.0" + +[package.extras] +cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] +pyqt5 = ["pyqt5"] +pyside6 = ["pyside6"] +test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "ipython" +version = "8.12.2" +description = "IPython: Productive Interactive Computing" +optional = false +python-versions = ">=3.8" +files = [ + {file = "ipython-8.12.2-py3-none-any.whl", hash = "sha256:ea8801f15dfe4ffb76dea1b09b847430ffd70d827b41735c64a0638a04103bfc"}, + {file = "ipython-8.12.2.tar.gz", hash = "sha256:c7b80eb7f5a855a88efc971fda506ff7a91c280b42cdae26643e0f601ea281ea"}, +] + +[package.dependencies] +appnope = {version = "*", markers = "sys_platform == \"darwin\""} +backcall = "*" +colorama = {version = "*", markers = "sys_platform == \"win32\""} +decorator = "*" +jedi = ">=0.16" +matplotlib-inline = "*" +pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""} +pickleshare = "*" +prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0" +pygments = ">=2.4.0" +stack-data = "*" +traitlets = ">=5" +typing-extensions = {version = "*", markers = "python_version < \"3.10\""} + +[package.extras] +all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] +black = ["black"] +doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] +kernel = ["ipykernel"] +nbconvert = ["nbconvert"] +nbformat = ["nbformat"] +notebook = ["ipywidgets", "notebook"] +parallel = ["ipyparallel"] +qtconsole = ["qtconsole"] +test = ["pytest (<7.1)", "pytest-asyncio", "testpath"] +test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"] + +[[package]] +name = "ipython-genutils" +version = "0.2.0" +description = "Vestigial utilities from IPython" +optional = false +python-versions = "*" +files = [ + {file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"}, + {file = "ipython_genutils-0.2.0.tar.gz", hash = "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"}, +] + +[[package]] +name = "isoduration" +version = "20.11.0" +description = "Operations with ISO 8601 durations" +optional = false +python-versions = ">=3.7" +files = [ + {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, + {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, +] + +[package.dependencies] +arrow = ">=0.15.0" + +[[package]] +name = "jaraco-classes" +version = "3.2.3" +description = "Utility functions for Python class constructs" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jaraco.classes-3.2.3-py3-none-any.whl", hash = "sha256:2353de3288bc6b82120752201c6b1c1a14b058267fa424ed5ce5984e3b922158"}, + {file = "jaraco.classes-3.2.3.tar.gz", hash = "sha256:89559fa5c1d3c34eff6f631ad80bb21f378dbcbb35dd161fd2c6b93f5be2f98a"}, +] + +[package.dependencies] +more-itertools = "*" + +[package.extras] +docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"] +testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + +[[package]] +name = "jedi" +version = "0.18.2" +description = "An autocompletion tool for Python that can be used for text editors." +optional = false +python-versions = ">=3.6" +files = [ + {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"}, + {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"}, +] + +[package.dependencies] +parso = ">=0.8.0,<0.9.0" + +[package.extras] +docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] +qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] +testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] + +[[package]] +name = "jeepney" +version = "0.8.0" +description = "Low-level, pure Python DBus protocol wrapper." +optional = false +python-versions = ">=3.7" +files = [ + {file = "jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755"}, + {file = "jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806"}, +] + +[package.extras] +test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"] +trio = ["async_generator", "trio"] + +[[package]] +name = "jinja2" +version = "3.1.2" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +files = [ + {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"}, + {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"}, +] + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "jsonpointer" +version = "2.4" +description = "Identify specific nodes in a JSON document (RFC 6901)" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*" +files = [ + {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"}, + {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"}, +] + +[[package]] +name = "jsonschema" +version = "4.17.3" +description = "An implementation of JSON Schema validation for Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"}, + {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"}, +] + +[package.dependencies] +attrs = ">=17.4.0" +fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""} +isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} +pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""} +pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" +rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} +uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-nongpl\""} + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] + +[[package]] +name = "jupyter-client" +version = "8.3.0" +description = "Jupyter protocol implementation and client libraries" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_client-8.3.0-py3-none-any.whl", hash = "sha256:7441af0c0672edc5d28035e92ba5e32fadcfa8a4e608a434c228836a89df6158"}, + {file = "jupyter_client-8.3.0.tar.gz", hash = "sha256:3af69921fe99617be1670399a0b857ad67275eefcfa291e2c81a160b7b650f5f"}, +] + +[package.dependencies] +importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""} +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +python-dateutil = ">=2.8.2" +pyzmq = ">=23.0" +tornado = ">=6.2" +traitlets = ">=5.3" + +[package.extras] +docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] + +[[package]] +name = "jupyter-core" +version = "5.3.1" +description = "Jupyter core package. A base package on which Jupyter projects rely." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_core-5.3.1-py3-none-any.whl", hash = "sha256:ae9036db959a71ec1cac33081eeb040a79e681f08ab68b0883e9a676c7a90dce"}, + {file = "jupyter_core-5.3.1.tar.gz", hash = "sha256:5ba5c7938a7f97a6b0481463f7ff0dbac7c15ba48cf46fa4035ca6e838aa1aba"}, +] + +[package.dependencies] +platformdirs = ">=2.5" +pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +traitlets = ">=5.3" + +[package.extras] +docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] +test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-events" +version = "0.6.3" +description = "Jupyter Event System library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyter_events-0.6.3-py3-none-any.whl", hash = "sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17"}, + {file = "jupyter_events-0.6.3.tar.gz", hash = "sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3"}, +] + +[package.dependencies] +jsonschema = {version = ">=3.2.0", extras = ["format-nongpl"]} +python-json-logger = ">=2.0.4" +pyyaml = ">=5.3" +rfc3339-validator = "*" +rfc3986-validator = ">=0.1.1" +traitlets = ">=5.3" + +[package.extras] +cli = ["click", "rich"] +docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"] +test = ["click", "coverage", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "pytest-cov", "rich"] + +[[package]] +name = "jupyter-server" +version = "2.7.0" +description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server-2.7.0-py3-none-any.whl", hash = "sha256:6a77912aff643e53fa14bdb2634884b52b784a4be77ce8e93f7283faed0f0849"}, + {file = "jupyter_server-2.7.0.tar.gz", hash = "sha256:36da0a266d31a41ac335a366c88933c17dfa5bb817a48f5c02c16d303bc9477f"}, +] + +[package.dependencies] +anyio = ">=3.1.0" +argon2-cffi = "*" +jinja2 = "*" +jupyter-client = ">=7.4.4" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +jupyter-events = ">=0.6.0" +jupyter-server-terminals = "*" +nbconvert = ">=6.4.4" +nbformat = ">=5.3.0" +overrides = "*" +packaging = "*" +prometheus-client = "*" +pywinpty = {version = "*", markers = "os_name == \"nt\""} +pyzmq = ">=24" +send2trash = "*" +terminado = ">=0.8.3" +tornado = ">=6.2.0" +traitlets = ">=5.6.0" +websocket-client = "*" + +[package.extras] +docs = ["ipykernel", "jinja2", "jupyter-client", "jupyter-server", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"] +test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.4)", "pytest-timeout", "requests"] + +[[package]] +name = "jupyter-server-terminals" +version = "0.4.4" +description = "A Jupyter Server Extension Providing Terminals." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server_terminals-0.4.4-py3-none-any.whl", hash = "sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36"}, + {file = "jupyter_server_terminals-0.4.4.tar.gz", hash = "sha256:57ab779797c25a7ba68e97bcfb5d7740f2b5e8a83b5e8102b10438041a7eac5d"}, +] + +[package.dependencies] +pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} +terminado = ">=0.8.3" + +[package.extras] +docs = ["jinja2", "jupyter-server", "mistune (<3.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] +test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] + +[[package]] +name = "jupyterlab-pygments" +version = "0.2.2" +description = "Pygments theme using JupyterLab CSS variables" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"}, + {file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"}, +] + +[[package]] +name = "keyring" +version = "24.2.0" +description = "Store and access your passwords safely." +optional = false +python-versions = ">=3.8" +files = [ + {file = "keyring-24.2.0-py3-none-any.whl", hash = "sha256:4901caaf597bfd3bbd78c9a0c7c4c29fcd8310dab2cffefe749e916b6527acd6"}, + {file = "keyring-24.2.0.tar.gz", hash = "sha256:ca0746a19ec421219f4d713f848fa297a661a8a8c1504867e55bfb5e09091509"}, +] + +[package.dependencies] +importlib-metadata = {version = ">=4.11.4", markers = "python_version < \"3.12\""} +importlib-resources = {version = "*", markers = "python_version < \"3.9\""} +"jaraco.classes" = "*" +jeepney = {version = ">=0.4.2", markers = "sys_platform == \"linux\""} +pywin32-ctypes = {version = ">=0.2.0", markers = "sys_platform == \"win32\""} +SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""} + +[package.extras] +completion = ["shtab"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[[package]] +name = "kiwisolver" +version = "1.4.4" +description = "A fast implementation of the Cassowary constraint solver" +optional = false +python-versions = ">=3.7" +files = [ + {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"}, + {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"}, + {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ad8285b01b0d4695102546b342b493b3ccc6781fc28c8c6a1bb63e95d22f09"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"}, + {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a68b62a02953b9841730db7797422f983935aeefceb1679f0fc85cbfbd311c32"}, + {file = "kiwisolver-1.4.4-cp310-cp310-win32.whl", hash = "sha256:e92a513161077b53447160b9bd8f522edfbed4bd9759e4c18ab05d7ef7e49408"}, + {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"}, + {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ea21f66820452a3f5d1655f8704a60d66ba1191359b96541eaf457710a5fc6"}, + {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:bc9db8a3efb3e403e4ecc6cd9489ea2bac94244f80c78e27c31dcc00d2790ac2"}, + {file = "kiwisolver-1.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d5b61785a9ce44e5a4b880272baa7cf6c8f48a5180c3e81c59553ba0cb0821ca"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c2dbb44c3f7e6c4d3487b31037b1bdbf424d97687c1747ce4ff2895795c9bf69"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6295ecd49304dcf3bfbfa45d9a081c96509e95f4b9d0eb7ee4ec0530c4a96514"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4bd472dbe5e136f96a4b18f295d159d7f26fd399136f5b17b08c4e5f498cd494"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bf7d9fce9bcc4752ca4a1b80aabd38f6d19009ea5cbda0e0856983cf6d0023f5"}, + {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78d6601aed50c74e0ef02f4204da1816147a6d3fbdc8b3872d263338a9052c51"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:877272cf6b4b7e94c9614f9b10140e198d2186363728ed0f701c6eee1baec1da"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:db608a6757adabb32f1cfe6066e39b3706d8c3aa69bbc353a5b61edad36a5cb4"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:5853eb494c71e267912275e5586fe281444eb5e722de4e131cddf9d442615626"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:f0a1dbdb5ecbef0d34eb77e56fcb3e95bbd7e50835d9782a45df81cc46949750"}, + {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:283dffbf061a4ec60391d51e6155e372a1f7a4f5b15d59c8505339454f8989e4"}, + {file = "kiwisolver-1.4.4-cp311-cp311-win32.whl", hash = "sha256:d06adcfa62a4431d404c31216f0f8ac97397d799cd53800e9d3efc2fbb3cf14e"}, + {file = "kiwisolver-1.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:e7da3fec7408813a7cebc9e4ec55afed2d0fd65c4754bc376bf03498d4e92686"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:62ac9cc684da4cf1778d07a89bf5f81b35834cb96ca523d3a7fb32509380cbf6"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41dae968a94b1ef1897cb322b39360a0812661dba7c682aa45098eb8e193dbdf"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d0611a0a2a518464c05ddd5a3a1a0e856ccc10e67079bb17f265ad19ab3c7597"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:db5283d90da4174865d520e7366801a93777201e91e79bacbac6e6927cbceede"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1041feb4cda8708ce73bb4dcb9ce1ccf49d553bf87c3954bdfa46f0c3f77252c"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-win32.whl", hash = "sha256:a553dadda40fef6bfa1456dc4be49b113aa92c2a9a9e8711e955618cd69622e3"}, + {file = "kiwisolver-1.4.4-cp37-cp37m-win_amd64.whl", hash = "sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166"}, + {file = "kiwisolver-1.4.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:841293b17ad704d70c578f1f0013c890e219952169ce8a24ebc063eecf775454"}, + {file = "kiwisolver-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f4f270de01dd3e129a72efad823da90cc4d6aafb64c410c9033aba70db9f1ff0"}, + {file = "kiwisolver-1.4.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f9f39e2f049db33a908319cf46624a569b36983c7c78318e9726a4cb8923b26c"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c97528e64cb9ebeff9701e7938653a9951922f2a38bd847787d4a8e498cc83ae"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d1573129aa0fd901076e2bfb4275a35f5b7aa60fbfb984499d661ec950320b0"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ad881edc7ccb9d65b0224f4e4d05a1e85cf62d73aab798943df6d48ab0cd79a1"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b428ef021242344340460fa4c9185d0b1f66fbdbfecc6c63eff4b7c29fad429d"}, + {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:2e407cb4bd5a13984a6c2c0fe1845e4e41e96f183e5e5cd4d77a857d9693494c"}, + {file = "kiwisolver-1.4.4-cp38-cp38-win32.whl", hash = "sha256:75facbe9606748f43428fc91a43edb46c7ff68889b91fa31f53b58894503a191"}, + {file = "kiwisolver-1.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:5bce61af018b0cb2055e0e72e7d65290d822d3feee430b7b8203d8a855e78766"}, + {file = "kiwisolver-1.4.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8c808594c88a025d4e322d5bb549282c93c8e1ba71b790f539567932722d7bd8"}, + {file = "kiwisolver-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f0a71d85ecdd570ded8ac3d1c0f480842f49a40beb423bb8014539a9f32a5897"}, + {file = "kiwisolver-1.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b533558eae785e33e8c148a8d9921692a9fe5aa516efbdff8606e7d87b9d5824"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:efda5fc8cc1c61e4f639b8067d118e742b812c930f708e6667a5ce0d13499e29"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7c43e1e1206cd421cd92e6b3280d4385d41d7166b3ed577ac20444b6995a445f"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc8d3bd6c72b2dd9decf16ce70e20abcb3274ba01b4e1c96031e0c4067d1e7cd"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4ea39b0ccc4f5d803e3337dd46bcce60b702be4d86fd0b3d7531ef10fd99a1ac"}, + {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:968f44fdbf6dd757d12920d63b566eeb4d5b395fd2d00d29d7ef00a00582aac9"}, + {file = "kiwisolver-1.4.4-cp39-cp39-win32.whl", hash = "sha256:da7e547706e69e45d95e116e6939488d62174e033b763ab1496b4c29b76fabea"}, + {file = "kiwisolver-1.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:ba59c92039ec0a66103b1d5fe588fa546373587a7d68f5c96f743c3396afc04b"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:91672bacaa030f92fc2f43b620d7b337fd9a5af28b0d6ed3f77afc43c4a64b5a"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:787518a6789009c159453da4d6b683f468ef7a65bbde796bcea803ccf191058d"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da152d8cdcab0e56e4f45eb08b9aea6455845ec83172092f09b0e077ece2cf7a"}, + {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ecb1fa0db7bf4cff9dac752abb19505a233c7f16684c5826d1f11ebd9472b871"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:28bc5b299f48150b5f822ce68624e445040595a4ac3d59251703779836eceff9"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:81e38381b782cc7e1e46c4e14cd997ee6040768101aefc8fa3c24a4cc58e98f8"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2a66fdfb34e05b705620dd567f5a03f239a088d5a3f321e7b6ac3239d22aa286"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:872b8ca05c40d309ed13eb2e582cab0c5a05e81e987ab9c521bf05ad1d5cf5cb"}, + {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:70e7c2e7b750585569564e2e5ca9845acfaa5da56ac46df68414f29fea97be9f"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9f85003f5dfa867e86d53fac6f7e6f30c045673fa27b603c397753bebadc3008"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e307eb9bd99801f82789b44bb45e9f541961831c7311521b13a6c85afc09767"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1792d939ec70abe76f5054d3f36ed5656021dcad1322d1cc996d4e54165cef9"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6cb459eea32a4e2cf18ba5fcece2dbdf496384413bc1bae15583f19e567f3b2"}, + {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36dafec3d6d6088d34e2de6b85f9d8e2324eb734162fba59d2ba9ed7a2043d5b"}, + {file = "kiwisolver-1.4.4.tar.gz", hash = "sha256:d41997519fcba4a1e46eb4a2fe31bc12f0ff957b2b81bac28db24744f333e955"}, +] + +[[package]] +name = "markdown" +version = "3.3.7" +description = "Python implementation of Markdown." +optional = false +python-versions = ">=3.6" +files = [ + {file = "Markdown-3.3.7-py3-none-any.whl", hash = "sha256:f5da449a6e1c989a4cea2631aa8ee67caa5a2ef855d551c88f9e309f4634c621"}, + {file = "Markdown-3.3.7.tar.gz", hash = "sha256:cbb516f16218e643d8e0a95b309f77eb118cb138d39a4f27851e6a63581db874"}, +] + +[package.dependencies] +importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""} + +[package.extras] +testing = ["coverage", "pyyaml"] + +[[package]] +name = "markdown-it-py" +version = "3.0.0" +description = "Python port of markdown-it. Markdown parsing, done right!" +optional = false +python-versions = ">=3.8" +files = [ + {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, + {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, +] + +[package.dependencies] +mdurl = ">=0.1,<1.0" + +[package.extras] +benchmarking = ["psutil", "pytest", "pytest-benchmark"] +code-style = ["pre-commit (>=3.0,<4.0)"] +compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"] +linkify = ["linkify-it-py (>=1,<3)"] +plugins = ["mdit-py-plugins"] +profiling = ["gprof2dot"] +rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] +testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] + +[[package]] +name = "markupsafe" +version = "2.1.3" +description = "Safely add untrusted strings to HTML/XML markup." +optional = false +python-versions = ">=3.7" +files = [ + {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:525808b8019e36eb524b8c68acdd63a37e75714eac50e988180b169d64480a00"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:962f82a3086483f5e5f64dbad880d31038b698494799b097bc59c2edf392fce6"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:aa7bd130efab1c280bed0f45501b7c8795f9fdbeb02e965371bbef3523627779"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c9c804664ebe8f83a211cace637506669e7890fec1b4195b505c214e50dd4eb7"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-win32.whl", hash = "sha256:10bbfe99883db80bdbaff2dcf681dfc6533a614f700da1287707e8a5d78a8431"}, + {file = "MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:338ae27d6b8745585f87218a3f23f1512dbf52c26c28e322dbe54bcede54ccb9"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e4dd52d80b8c83fdce44e12478ad2e85c64ea965e75d66dbeafb0a3e77308fcc"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:df0be2b576a7abbf737b1575f048c23fb1d769f267ec4358296f31c2479db8f9"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"}, + {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca379055a47383d02a5400cb0d110cef0a776fc644cda797db0c5696cfd7e18e"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b7ff0f54cb4ff66dd38bebd335a38e2c22c41a8ee45aa608efc890ac3e3931bc"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c011a4149cfbcf9f03994ec2edffcb8b1dc2d2aede7ca243746df97a5d41ce48"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:56d9f2ecac662ca1611d183feb03a3fa4406469dafe241673d521dd5ae92a155"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-win32.whl", hash = "sha256:8758846a7e80910096950b67071243da3e5a20ed2546e6392603c096778d48e0"}, + {file = "MarkupSafe-2.1.3-cp37-cp37m-win_amd64.whl", hash = "sha256:787003c0ddb00500e49a10f2844fac87aa6ce977b90b0feaaf9de23c22508b24"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d080e0a5eb2529460b30190fcfcc4199bd7f827663f858a226a81bc27beaa97e"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:69c0f17e9f5a7afdf2cc9fb2d1ce6aabdb3bafb7f38017c0b77862bcec2bbad8"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:504b320cd4b7eff6f968eddf81127112db685e81f7e36e75f9f84f0df46041c3"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:42de32b22b6b804f42c5d98be4f7e5e977ecdd9ee9b660fda1a3edf03b11792d"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-win32.whl", hash = "sha256:ceb01949af7121f9fc39f7d27f91be8546f3fb112c608bc4029aef0bab86a2a5"}, + {file = "MarkupSafe-2.1.3-cp38-cp38-win_amd64.whl", hash = "sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:282c2cb35b5b673bbcadb33a585408104df04f14b2d9b01d4c345a3b92861c2c"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab4a0df41e7c16a1392727727e7998a467472d0ad65f3ad5e6e765015df08636"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7ef3cb2ebbf91e330e3bb937efada0edd9003683db6b57bb108c4001f37a02ea"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0a4e4a1aff6c7ac4cd55792abf96c915634c2b97e3cc1c7129578aa68ebd754e"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-win32.whl", hash = "sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2"}, + {file = "MarkupSafe-2.1.3-cp39-cp39-win_amd64.whl", hash = "sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba"}, + {file = "MarkupSafe-2.1.3.tar.gz", hash = "sha256:af598ed32d6ae86f1b747b82783958b1a4ab8f617b06fe68795c7f026abbdcad"}, +] + +[[package]] +name = "matplotlib" +version = "3.7.1" +description = "Python plotting package" +optional = false +python-versions = ">=3.8" +files = [ + {file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:95cbc13c1fc6844ab8812a525bbc237fa1470863ff3dace7352e910519e194b1"}, + {file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:08308bae9e91aca1ec6fd6dda66237eef9f6294ddb17f0d0b3c863169bf82353"}, + {file = "matplotlib-3.7.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:544764ba51900da4639c0f983b323d288f94f65f4024dc40ecb1542d74dc0500"}, + {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56d94989191de3fcc4e002f93f7f1be5da476385dde410ddafbb70686acf00ea"}, + {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e99bc9e65901bb9a7ce5e7bb24af03675cbd7c70b30ac670aa263240635999a4"}, + {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb7d248c34a341cd4c31a06fd34d64306624c8cd8d0def7abb08792a5abfd556"}, + {file = "matplotlib-3.7.1-cp310-cp310-win32.whl", hash = "sha256:ce463ce590f3825b52e9fe5c19a3c6a69fd7675a39d589e8b5fbe772272b3a24"}, + {file = "matplotlib-3.7.1-cp310-cp310-win_amd64.whl", hash = "sha256:3d7bc90727351fb841e4d8ae620d2d86d8ed92b50473cd2b42ce9186104ecbba"}, + {file = "matplotlib-3.7.1-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:770a205966d641627fd5cf9d3cb4b6280a716522cd36b8b284a8eb1581310f61"}, + {file = "matplotlib-3.7.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f67bfdb83a8232cb7a92b869f9355d677bce24485c460b19d01970b64b2ed476"}, + {file = "matplotlib-3.7.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2bf092f9210e105f414a043b92af583c98f50050559616930d884387d0772aba"}, + {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89768d84187f31717349c6bfadc0e0d8c321e8eb34522acec8a67b1236a66332"}, + {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:83111e6388dec67822e2534e13b243cc644c7494a4bb60584edbff91585a83c6"}, + {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a867bf73a7eb808ef2afbca03bcdb785dae09595fbe550e1bab0cd023eba3de0"}, + {file = "matplotlib-3.7.1-cp311-cp311-win32.whl", hash = "sha256:fbdeeb58c0cf0595efe89c05c224e0a502d1aa6a8696e68a73c3efc6bc354304"}, + {file = "matplotlib-3.7.1-cp311-cp311-win_amd64.whl", hash = "sha256:c0bd19c72ae53e6ab979f0ac6a3fafceb02d2ecafa023c5cca47acd934d10be7"}, + {file = "matplotlib-3.7.1-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:6eb88d87cb2c49af00d3bbc33a003f89fd9f78d318848da029383bfc08ecfbfb"}, + {file = "matplotlib-3.7.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:cf0e4f727534b7b1457898c4f4ae838af1ef87c359b76dcd5330fa31893a3ac7"}, + {file = "matplotlib-3.7.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:46a561d23b91f30bccfd25429c3c706afe7d73a5cc64ef2dfaf2b2ac47c1a5dc"}, + {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8704726d33e9aa8a6d5215044b8d00804561971163563e6e6591f9dcf64340cc"}, + {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4cf327e98ecf08fcbb82685acaf1939d3338548620ab8dfa02828706402c34de"}, + {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:617f14ae9d53292ece33f45cba8503494ee199a75b44de7717964f70637a36aa"}, + {file = "matplotlib-3.7.1-cp38-cp38-win32.whl", hash = "sha256:7c9a4b2da6fac77bcc41b1ea95fadb314e92508bf5493ceff058e727e7ecf5b0"}, + {file = "matplotlib-3.7.1-cp38-cp38-win_amd64.whl", hash = "sha256:14645aad967684e92fc349493fa10c08a6da514b3d03a5931a1bac26e6792bd1"}, + {file = "matplotlib-3.7.1-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:81a6b377ea444336538638d31fdb39af6be1a043ca5e343fe18d0f17e098770b"}, + {file = "matplotlib-3.7.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:28506a03bd7f3fe59cd3cd4ceb2a8d8a2b1db41afede01f66c42561b9be7b4b7"}, + {file = "matplotlib-3.7.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c587963b85ce41e0a8af53b9b2de8dddbf5ece4c34553f7bd9d066148dc719c"}, + {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8bf26ade3ff0f27668989d98c8435ce9327d24cffb7f07d24ef609e33d582439"}, + {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:def58098f96a05f90af7e92fd127d21a287068202aa43b2a93476170ebd99e87"}, + {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f883a22a56a84dba3b588696a2b8a1ab0d2c3d41be53264115c71b0a942d8fdb"}, + {file = "matplotlib-3.7.1-cp39-cp39-win32.whl", hash = "sha256:4f99e1b234c30c1e9714610eb0c6d2f11809c9c78c984a613ae539ea2ad2eb4b"}, + {file = "matplotlib-3.7.1-cp39-cp39-win_amd64.whl", hash = "sha256:3ba2af245e36990facf67fde840a760128ddd71210b2ab6406e640188d69d136"}, + {file = "matplotlib-3.7.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3032884084f541163f295db8a6536e0abb0db464008fadca6c98aaf84ccf4717"}, + {file = "matplotlib-3.7.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a2cb34336110e0ed8bb4f650e817eed61fa064acbefeb3591f1b33e3a84fd96"}, + {file = "matplotlib-3.7.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b867e2f952ed592237a1828f027d332d8ee219ad722345b79a001f49df0936eb"}, + {file = "matplotlib-3.7.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:57bfb8c8ea253be947ccb2bc2d1bb3862c2bccc662ad1b4626e1f5e004557042"}, + {file = "matplotlib-3.7.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:438196cdf5dc8d39b50a45cb6e3f6274edbcf2254f85fa9b895bf85851c3a613"}, + {file = "matplotlib-3.7.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:21e9cff1a58d42e74d01153360de92b326708fb205250150018a52c70f43c290"}, + {file = "matplotlib-3.7.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75d4725d70b7c03e082bbb8a34639ede17f333d7247f56caceb3801cb6ff703d"}, + {file = "matplotlib-3.7.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:97cc368a7268141afb5690760921765ed34867ffb9655dd325ed207af85c7529"}, + {file = "matplotlib-3.7.1.tar.gz", hash = "sha256:7b73305f25eab4541bd7ee0b96d87e53ae9c9f1823be5659b806cd85786fe882"}, +] + +[package.dependencies] +contourpy = ">=1.0.1" +cycler = ">=0.10" +fonttools = ">=4.22.0" +importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""} +kiwisolver = ">=1.0.1" +numpy = ">=1.20" +packaging = ">=20.0" +pillow = ">=6.2.0" +pyparsing = ">=2.3.1" +python-dateutil = ">=2.7" + +[[package]] +name = "matplotlib-inline" +version = "0.1.6" +description = "Inline Matplotlib backend for Jupyter" +optional = false +python-versions = ">=3.5" +files = [ + {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"}, + {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"}, +] + +[package.dependencies] +traitlets = "*" + +[[package]] +name = "mdurl" +version = "0.1.2" +description = "Markdown URL utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, + {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, +] + +[[package]] +name = "mergedeep" +version = "1.3.4" +description = "A deep merge function for 🐍." +optional = false +python-versions = ">=3.6" +files = [ + {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"}, + {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"}, +] + +[[package]] +name = "mistune" +version = "3.0.1" +description = "A sane and fast Markdown parser with useful plugins and renderers" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mistune-3.0.1-py3-none-any.whl", hash = "sha256:b9b3e438efbb57c62b5beb5e134dab664800bdf1284a7ee09e8b12b13eb1aac6"}, + {file = "mistune-3.0.1.tar.gz", hash = "sha256:e912116c13aa0944f9dc530db38eb88f6a77087ab128f49f84a48f4c05ea163c"}, +] + +[[package]] +name = "mkdocs" +version = "1.4.3" +description = "Project documentation with Markdown." +optional = false +python-versions = ">=3.7" +files = [ + {file = "mkdocs-1.4.3-py3-none-any.whl", hash = "sha256:6ee46d309bda331aac915cd24aab882c179a933bd9e77b80ce7d2eaaa3f689dd"}, + {file = "mkdocs-1.4.3.tar.gz", hash = "sha256:5955093bbd4dd2e9403c5afaf57324ad8b04f16886512a3ee6ef828956481c57"}, +] + +[package.dependencies] +click = ">=7.0" +colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""} +ghp-import = ">=1.0" +importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""} +jinja2 = ">=2.11.1" +markdown = ">=3.2.1,<3.4" +mergedeep = ">=1.3.4" +packaging = ">=20.5" +pyyaml = ">=5.1" +pyyaml-env-tag = ">=0.1" +watchdog = ">=2.0" + +[package.extras] +i18n = ["babel (>=2.9.0)"] +min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"] + +[[package]] +name = "mkdocs-autorefs" +version = "0.4.1" +description = "Automatically link across pages in MkDocs." +optional = false +python-versions = ">=3.7" +files = [ + {file = "mkdocs-autorefs-0.4.1.tar.gz", hash = "sha256:70748a7bd025f9ecd6d6feeba8ba63f8e891a1af55f48e366d6d6e78493aba84"}, + {file = "mkdocs_autorefs-0.4.1-py3-none-any.whl", hash = "sha256:a2248a9501b29dc0cc8ba4c09f4f47ff121945f6ce33d760f145d6f89d313f5b"}, +] + +[package.dependencies] +Markdown = ">=3.3" +mkdocs = ">=1.1" + +[[package]] +name = "mkdocs-material" +version = "9.1.18" +description = "Documentation that simply works" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mkdocs_material-9.1.18-py3-none-any.whl", hash = "sha256:5bcf8fb79ac2f253c0ffe93fa181cba87718c6438f459dc4180ac7418cc9a450"}, + {file = "mkdocs_material-9.1.18.tar.gz", hash = "sha256:981dd39979723d4cda7cfc77bbbe5e54922d5761a7af23fb8ba9edb52f114b13"}, +] + +[package.dependencies] +colorama = ">=0.4" +jinja2 = ">=3.0" +markdown = ">=3.2" +mkdocs = ">=1.4.2" +mkdocs-material-extensions = ">=1.1" +pygments = ">=2.14" +pymdown-extensions = ">=9.9.1" +regex = ">=2022.4.24" +requests = ">=2.26" + +[[package]] +name = "mkdocs-material-extensions" +version = "1.1.1" +description = "Extension pack for Python Markdown and MkDocs Material." +optional = false +python-versions = ">=3.7" +files = [ + {file = "mkdocs_material_extensions-1.1.1-py3-none-any.whl", hash = "sha256:e41d9f38e4798b6617ad98ca8f7f1157b1e4385ac1459ca1e4ea219b556df945"}, + {file = "mkdocs_material_extensions-1.1.1.tar.gz", hash = "sha256:9c003da71e2cc2493d910237448c672e00cefc800d3d6ae93d2fc69979e3bd93"}, +] + +[[package]] +name = "mkdocstrings" +version = "0.20.0" +description = "Automatic documentation from sources, for MkDocs." +optional = false +python-versions = ">=3.7" +files = [ + {file = "mkdocstrings-0.20.0-py3-none-any.whl", hash = "sha256:f17fc2c4f760ec302b069075ef9e31045aa6372ca91d2f35ded3adba8e25a472"}, + {file = "mkdocstrings-0.20.0.tar.gz", hash = "sha256:c757f4f646d4f939491d6bc9256bfe33e36c5f8026392f49eaa351d241c838e5"}, +] + +[package.dependencies] +Jinja2 = ">=2.11.1" +Markdown = ">=3.3" +MarkupSafe = ">=1.1" +mkdocs = ">=1.2" +mkdocs-autorefs = ">=0.3.1" +mkdocstrings-python = {version = ">=0.5.2", optional = true, markers = "extra == \"python\""} +pymdown-extensions = ">=6.3" + +[package.extras] +crystal = ["mkdocstrings-crystal (>=0.3.4)"] +python = ["mkdocstrings-python (>=0.5.2)"] +python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"] + +[[package]] +name = "mkdocstrings-python" +version = "1.1.2" +description = "A Python handler for mkdocstrings." +optional = false +python-versions = ">=3.7" +files = [ + {file = "mkdocstrings_python-1.1.2-py3-none-any.whl", hash = "sha256:c2b652a850fec8e85034a9cdb3b45f8ad1a558686edc20ed1f40b4e17e62070f"}, + {file = "mkdocstrings_python-1.1.2.tar.gz", hash = "sha256:f28bdcacb9bcdb44b6942a5642c1ea8b36870614d33e29e3c923e204a8d8ed61"}, +] + +[package.dependencies] +griffe = ">=0.24" +mkdocstrings = ">=0.20" + +[[package]] +name = "more-itertools" +version = "9.1.0" +description = "More routines for operating on iterables, beyond itertools" +optional = false +python-versions = ">=3.7" +files = [ + {file = "more-itertools-9.1.0.tar.gz", hash = "sha256:cabaa341ad0389ea83c17a94566a53ae4c9d07349861ecb14dc6d0345cf9ac5d"}, + {file = "more_itertools-9.1.0-py3-none-any.whl", hash = "sha256:d2bc7f02446e86a68911e58ded76d6561eea00cddfb2a91e7019bbb586c799f3"}, +] + +[[package]] +name = "nbclassic" +version = "1.0.0" +description = "Jupyter Notebook as a Jupyter Server extension." +optional = false +python-versions = ">=3.7" +files = [ + {file = "nbclassic-1.0.0-py3-none-any.whl", hash = "sha256:f99e4769b4750076cd4235c044b61232110733322384a94a63791d2e7beacc66"}, + {file = "nbclassic-1.0.0.tar.gz", hash = "sha256:0ae11eb2319455d805596bf320336cda9554b41d99ab9a3c31bf8180bffa30e3"}, +] + +[package.dependencies] +argon2-cffi = "*" +ipykernel = "*" +ipython-genutils = "*" +jinja2 = "*" +jupyter-client = ">=6.1.1" +jupyter-core = ">=4.6.1" +jupyter-server = ">=1.8" +nbconvert = ">=5" +nbformat = "*" +nest-asyncio = ">=1.5" +notebook-shim = ">=0.2.3" +prometheus-client = "*" +pyzmq = ">=17" +Send2Trash = ">=1.8.0" +terminado = ">=0.8.3" +tornado = ">=6.1" +traitlets = ">=4.2.1" + +[package.extras] +docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] +json-logging = ["json-logging"] +test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-jupyter", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"] + +[[package]] +name = "nbclient" +version = "0.8.0" +description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "nbclient-0.8.0-py3-none-any.whl", hash = "sha256:25e861299e5303a0477568557c4045eccc7a34c17fc08e7959558707b9ebe548"}, + {file = "nbclient-0.8.0.tar.gz", hash = "sha256:f9b179cd4b2d7bca965f900a2ebf0db4a12ebff2f36a711cb66861e4ae158e55"}, +] + +[package.dependencies] +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +nbformat = ">=5.1" +traitlets = ">=5.4" + +[package.extras] +dev = ["pre-commit"] +docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"] +test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] + +[[package]] +name = "nbconvert" +version = "7.6.0" +description = "Converting Jupyter Notebooks" +optional = false +python-versions = ">=3.7" +files = [ + {file = "nbconvert-7.6.0-py3-none-any.whl", hash = "sha256:5a445c6794b0791984bc5436608fe2c066cb43c83920c7bc91bde3b765e9a264"}, + {file = "nbconvert-7.6.0.tar.gz", hash = "sha256:24fcf27efdef2b51d7f090cc5ce5a9b178766a55be513c4ebab08c91899ab550"}, +] + +[package.dependencies] +beautifulsoup4 = "*" +bleach = "!=5.0.0" +defusedxml = "*" +importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""} +jinja2 = ">=3.0" +jupyter-core = ">=4.7" +jupyterlab-pygments = "*" +markupsafe = ">=2.0" +mistune = ">=2.0.3,<4" +nbclient = ">=0.5.0" +nbformat = ">=5.7" +packaging = "*" +pandocfilters = ">=1.4.1" +pygments = ">=2.4.1" +tinycss2 = "*" +traitlets = ">=5.1" + +[package.extras] +all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"] +docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"] +qtpdf = ["nbconvert[qtpng]"] +qtpng = ["pyqtwebengine (>=5.15)"] +serve = ["tornado (>=6.1)"] +test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"] +webpdf = ["pyppeteer (>=1,<1.1)"] + +[[package]] +name = "nbformat" +version = "5.9.0" +description = "The Jupyter Notebook format" +optional = false +python-versions = ">=3.8" +files = [ + {file = "nbformat-5.9.0-py3-none-any.whl", hash = "sha256:8c8fa16d6d05062c26177754bfbfac22de644888e2ef69d27ad2a334cf2576e5"}, + {file = "nbformat-5.9.0.tar.gz", hash = "sha256:e98ebb6120c3efbafdee2a40af2a140cadee90bb06dd69a2a63d9551fcc7f976"}, +] + +[package.dependencies] +fastjsonschema = "*" +jsonschema = ">=2.6" +jupyter-core = "*" +traitlets = ">=5.1" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["pep440", "pre-commit", "pytest", "testpath"] + +[[package]] +name = "nest-asyncio" +version = "1.5.6" +description = "Patch asyncio to allow nested event loops" +optional = false +python-versions = ">=3.5" +files = [ + {file = "nest_asyncio-1.5.6-py3-none-any.whl", hash = "sha256:b9a953fb40dceaa587d109609098db21900182b16440652454a146cffb06e8b8"}, + {file = "nest_asyncio-1.5.6.tar.gz", hash = "sha256:d267cc1ff794403f7df692964d1d2a3fa9418ffea2a3f6859a439ff482fef290"}, +] + +[[package]] +name = "notebook" +version = "6.5.4" +description = "A web-based notebook environment for interactive computing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "notebook-6.5.4-py3-none-any.whl", hash = "sha256:dd17e78aefe64c768737b32bf171c1c766666a21cc79a44d37a1700771cab56f"}, + {file = "notebook-6.5.4.tar.gz", hash = "sha256:517209568bd47261e2def27a140e97d49070602eea0d226a696f42a7f16c9a4e"}, +] + +[package.dependencies] +argon2-cffi = "*" +ipykernel = "*" +ipython-genutils = "*" +jinja2 = "*" +jupyter-client = ">=5.3.4" +jupyter-core = ">=4.6.1" +nbclassic = ">=0.4.7" +nbconvert = ">=5" +nbformat = "*" +nest-asyncio = ">=1.5" +prometheus-client = "*" +pyzmq = ">=17" +Send2Trash = ">=1.8.0" +terminado = ">=0.8.3" +tornado = ">=6.1" +traitlets = ">=4.2.1" + +[package.extras] +docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] +json-logging = ["json-logging"] +test = ["coverage", "nbval", "pytest", "pytest-cov", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"] + +[[package]] +name = "notebook-shim" +version = "0.2.3" +description = "A shim layer for notebook traits and config" +optional = false +python-versions = ">=3.7" +files = [ + {file = "notebook_shim-0.2.3-py3-none-any.whl", hash = "sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7"}, + {file = "notebook_shim-0.2.3.tar.gz", hash = "sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9"}, +] + +[package.dependencies] +jupyter-server = ">=1.8,<3" + +[package.extras] +test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"] + +[[package]] +name = "numpy" +version = "1.24.4" +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"}, +] + +[[package]] +name = "opencv-python" +version = "4.8.0.74" +description = "Wrapper package for OpenCV python bindings." +optional = true +python-versions = ">=3.6" +files = [ + {file = "opencv-python-4.8.0.74.tar.gz", hash = "sha256:009e3ce356a0cd2d7423723e00a32fd3d3cc5bb5970ed27a9a1f8a8f221d1db5"}, + {file = "opencv_python-4.8.0.74-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:31d0d59fc8fdf703de4cec46c79b9f8d026fdde9d23d6e2e6a66809feeebbda9"}, + {file = "opencv_python-4.8.0.74-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:66eadb5882ee56848b67f9fb57aadcaca2f4c9d9d00a0ef11043041925b51291"}, + {file = "opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:038ba7075e55cb8e2846663ae970f0fb776a45b48ee69a887bf4ee15e2570083"}, + {file = "opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43dd0dfe331fb95767af581bf3b2781d7a72cf6560ddf2f55949fe547f3e5c9f"}, + {file = "opencv_python-4.8.0.74-cp37-abi3-win32.whl", hash = "sha256:458e5dc377f15fcf769d80314f3d885bd95457b1a2891bee67df2eb24a1d3a52"}, + {file = "opencv_python-4.8.0.74-cp37-abi3-win_amd64.whl", hash = "sha256:8fe0018d0056a5187c57120b6b3f6c3e706c13b45c48e54e86d245a9a16fac84"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, + {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, + {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, + {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, + {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, +] + +[[package]] +name = "opencv-python-headless" +version = "4.8.0.74" +description = "Wrapper package for OpenCV python bindings." +optional = false +python-versions = ">=3.6" +files = [ + {file = "opencv-python-headless-4.8.0.74.tar.gz", hash = "sha256:a72770b8f2e08358b1faa41c8372b17d040aa9bb3e446ab7090e358f6f4e91ba"}, + {file = "opencv_python_headless-4.8.0.74-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:f645b17667fc9bffec8c3b3a72a217430c8d7090ed3ebb80fd8efc657f372d6c"}, + {file = "opencv_python_headless-4.8.0.74-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:7c88744ce922b81747c86f2b7f1b3ec84ff2f53477ee9219a5e75ae2012b443f"}, + {file = "opencv_python_headless-4.8.0.74-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34e92fef90e8f768d92dca875aefaff8b11556427f82484378a3848eb690d4c0"}, + {file = "opencv_python_headless-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8a88620c43a5d17f7df8317767da93b935656ab9236df92e1e2e0dd23195756"}, + {file = "opencv_python_headless-4.8.0.74-cp37-abi3-win32.whl", hash = "sha256:b52a6eb2d92fff0f660e6aade958cb4373fbfcbafa0488f7ae88c4e6ce3f47f6"}, + {file = "opencv_python_headless-4.8.0.74-cp37-abi3-win_amd64.whl", hash = "sha256:19d30269ae710f67e0ae549361a68b755e28599a572d5f72d0bbb177ab438a28"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, + {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, + {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, + {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, + {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, +] + +[[package]] +name = "overrides" +version = "7.3.1" +description = "A decorator to automatically detect mismatch when overriding a method." +optional = false +python-versions = ">=3.6" +files = [ + {file = "overrides-7.3.1-py3-none-any.whl", hash = "sha256:6187d8710a935d09b0bcef8238301d6ee2569d2ac1ae0ec39a8c7924e27f58ca"}, + {file = "overrides-7.3.1.tar.gz", hash = "sha256:8b97c6c1e1681b78cbc9424b138d880f0803c2254c5ebaabdde57bb6c62093f2"}, +] + +[[package]] +name = "packaging" +version = "23.1" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.7" +files = [ + {file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"}, + {file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"}, +] + +[[package]] +name = "pandocfilters" +version = "1.5.0" +description = "Utilities for writing pandoc filters in python" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "pandocfilters-1.5.0-py2.py3-none-any.whl", hash = "sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f"}, + {file = "pandocfilters-1.5.0.tar.gz", hash = "sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38"}, +] + +[[package]] +name = "parso" +version = "0.8.3" +description = "A Python Parser" +optional = false +python-versions = ">=3.6" +files = [ + {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"}, + {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"}, +] + +[package.extras] +qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] +testing = ["docopt", "pytest (<6.0.0)"] + +[[package]] +name = "pexpect" +version = "4.8.0" +description = "Pexpect allows easy control of interactive console applications." +optional = false +python-versions = "*" +files = [ + {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"}, + {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"}, +] + +[package.dependencies] +ptyprocess = ">=0.5" + +[[package]] +name = "pickleshare" +version = "0.7.5" +description = "Tiny 'shelve'-like database with concurrency support" +optional = false +python-versions = "*" +files = [ + {file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"}, + {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"}, +] + +[[package]] +name = "pillow" +version = "10.0.0" +description = "Python Imaging Library (Fork)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "Pillow-10.0.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f62406a884ae75fb2f818694469519fb685cc7eaff05d3451a9ebe55c646891"}, + {file = "Pillow-10.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d5db32e2a6ccbb3d34d87c87b432959e0db29755727afb37290e10f6e8e62614"}, + {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edf4392b77bdc81f36e92d3a07a5cd072f90253197f4a52a55a8cec48a12483b"}, + {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:520f2a520dc040512699f20fa1c363eed506e94248d71f85412b625026f6142c"}, + {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:8c11160913e3dd06c8ffdb5f233a4f254cb449f4dfc0f8f4549eda9e542c93d1"}, + {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a74ba0c356aaa3bb8e3eb79606a87669e7ec6444be352870623025d75a14a2bf"}, + {file = "Pillow-10.0.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d5d0dae4cfd56969d23d94dc8e89fb6a217be461c69090768227beb8ed28c0a3"}, + {file = "Pillow-10.0.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:22c10cc517668d44b211717fd9775799ccec4124b9a7f7b3635fc5386e584992"}, + {file = "Pillow-10.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:dffe31a7f47b603318c609f378ebcd57f1554a3a6a8effbc59c3c69f804296de"}, + {file = "Pillow-10.0.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:9fb218c8a12e51d7ead2a7c9e101a04982237d4855716af2e9499306728fb485"}, + {file = "Pillow-10.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d35e3c8d9b1268cbf5d3670285feb3528f6680420eafe35cccc686b73c1e330f"}, + {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ed64f9ca2f0a95411e88a4efbd7a29e5ce2cea36072c53dd9d26d9c76f753b3"}, + {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b6eb5502f45a60a3f411c63187db83a3d3107887ad0d036c13ce836f8a36f1d"}, + {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:c1fbe7621c167ecaa38ad29643d77a9ce7311583761abf7836e1510c580bf3dd"}, + {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:cd25d2a9d2b36fcb318882481367956d2cf91329f6892fe5d385c346c0649629"}, + {file = "Pillow-10.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3b08d4cc24f471b2c8ca24ec060abf4bebc6b144cb89cba638c720546b1cf538"}, + {file = "Pillow-10.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d737a602fbd82afd892ca746392401b634e278cb65d55c4b7a8f48e9ef8d008d"}, + {file = "Pillow-10.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:3a82c40d706d9aa9734289740ce26460a11aeec2d9c79b7af87bb35f0073c12f"}, + {file = "Pillow-10.0.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:d80cf684b541685fccdd84c485b31ce73fc5c9b5d7523bf1394ce134a60c6883"}, + {file = "Pillow-10.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:76de421f9c326da8f43d690110f0e79fe3ad1e54be811545d7d91898b4c8493e"}, + {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81ff539a12457809666fef6624684c008e00ff6bf455b4b89fd00a140eecd640"}, + {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce543ed15570eedbb85df19b0a1a7314a9c8141a36ce089c0a894adbfccb4568"}, + {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:685ac03cc4ed5ebc15ad5c23bc555d68a87777586d970c2c3e216619a5476223"}, + {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d72e2ecc68a942e8cf9739619b7f408cc7b272b279b56b2c83c6123fcfa5cdff"}, + {file = "Pillow-10.0.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d50b6aec14bc737742ca96e85d6d0a5f9bfbded018264b3b70ff9d8c33485551"}, + {file = "Pillow-10.0.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:00e65f5e822decd501e374b0650146063fbb30a7264b4d2744bdd7b913e0cab5"}, + {file = "Pillow-10.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:f31f9fdbfecb042d046f9d91270a0ba28368a723302786c0009ee9b9f1f60199"}, + {file = "Pillow-10.0.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:349930d6e9c685c089284b013478d6f76e3a534e36ddfa912cde493f235372f3"}, + {file = "Pillow-10.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3a684105f7c32488f7153905a4e3015a3b6c7182e106fe3c37fbb5ef3e6994c3"}, + {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4f69b3700201b80bb82c3a97d5e9254084f6dd5fb5b16fc1a7b974260f89f43"}, + {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f07ea8d2f827d7d2a49ecf1639ec02d75ffd1b88dcc5b3a61bbb37a8759ad8d"}, + {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:040586f7d37b34547153fa383f7f9aed68b738992380ac911447bb78f2abe530"}, + {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:f88a0b92277de8e3ca715a0d79d68dc82807457dae3ab8699c758f07c20b3c51"}, + {file = "Pillow-10.0.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:c7cf14a27b0d6adfaebb3ae4153f1e516df54e47e42dcc073d7b3d76111a8d86"}, + {file = "Pillow-10.0.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3400aae60685b06bb96f99a21e1ada7bc7a413d5f49bce739828ecd9391bb8f7"}, + {file = "Pillow-10.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:dbc02381779d412145331789b40cc7b11fdf449e5d94f6bc0b080db0a56ea3f0"}, + {file = "Pillow-10.0.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:9211e7ad69d7c9401cfc0e23d49b69ca65ddd898976d660a2fa5904e3d7a9baa"}, + {file = "Pillow-10.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:faaf07ea35355b01a35cb442dd950d8f1bb5b040a7787791a535de13db15ed90"}, + {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f72a021fbb792ce98306ffb0c348b3c9cb967dce0f12a49aa4c3d3fdefa967"}, + {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f7c16705f44e0504a3a2a14197c1f0b32a95731d251777dcb060aa83022cb2d"}, + {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:76edb0a1fa2b4745fb0c99fb9fb98f8b180a1bbceb8be49b087e0b21867e77d3"}, + {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:368ab3dfb5f49e312231b6f27b8820c823652b7cd29cfbd34090565a015e99ba"}, + {file = "Pillow-10.0.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:608bfdee0d57cf297d32bcbb3c728dc1da0907519d1784962c5f0c68bb93e5a3"}, + {file = "Pillow-10.0.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5c6e3df6bdd396749bafd45314871b3d0af81ff935b2d188385e970052091017"}, + {file = "Pillow-10.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:7be600823e4c8631b74e4a0d38384c73f680e6105a7d3c6824fcf226c178c7e6"}, + {file = "Pillow-10.0.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:92be919bbc9f7d09f7ae343c38f5bb21c973d2576c1d45600fce4b74bafa7ac0"}, + {file = "Pillow-10.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8182b523b2289f7c415f589118228d30ac8c355baa2f3194ced084dac2dbba"}, + {file = "Pillow-10.0.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:38250a349b6b390ee6047a62c086d3817ac69022c127f8a5dc058c31ccef17f3"}, + {file = "Pillow-10.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:88af2003543cc40c80f6fca01411892ec52b11021b3dc22ec3bc9d5afd1c5334"}, + {file = "Pillow-10.0.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:c189af0545965fa8d3b9613cfdb0cd37f9d71349e0f7750e1fd704648d475ed2"}, + {file = "Pillow-10.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce7b031a6fc11365970e6a5686d7ba8c63e4c1cf1ea143811acbb524295eabed"}, + {file = "Pillow-10.0.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:db24668940f82321e746773a4bc617bfac06ec831e5c88b643f91f122a785684"}, + {file = "Pillow-10.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:efe8c0681042536e0d06c11f48cebe759707c9e9abf880ee213541c5b46c5bf3"}, + {file = "Pillow-10.0.0.tar.gz", hash = "sha256:9c82b5b3e043c7af0d95792d0d20ccf68f61a1fec6b3530e718b688422727396"}, +] + +[package.extras] +docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"] +tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "pkginfo" +version = "1.9.6" +description = "Query metadata from sdists / bdists / installed packages." +optional = false +python-versions = ">=3.6" +files = [ + {file = "pkginfo-1.9.6-py3-none-any.whl", hash = "sha256:4b7a555a6d5a22169fcc9cf7bfd78d296b0361adad412a346c1226849af5e546"}, + {file = "pkginfo-1.9.6.tar.gz", hash = "sha256:8fd5896e8718a4372f0ea9cc9d96f6417c9b986e23a4d116dda26b62cc29d046"}, +] + +[package.extras] +testing = ["pytest", "pytest-cov"] + +[[package]] +name = "pkgutil-resolve-name" +version = "1.3.10" +description = "Resolve a name to an object." +optional = false +python-versions = ">=3.6" +files = [ + {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"}, + {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"}, +] + +[[package]] +name = "platformdirs" +version = "3.8.0" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +optional = false +python-versions = ">=3.7" +files = [ + {file = "platformdirs-3.8.0-py3-none-any.whl", hash = "sha256:ca9ed98ce73076ba72e092b23d3c93ea6c4e186b3f1c3dad6edd98ff6ffcca2e"}, + {file = "platformdirs-3.8.0.tar.gz", hash = "sha256:b0cabcb11063d21a0b261d557acb0a9d2126350e63b70cdf7db6347baea456dc"}, +] + +[package.extras] +docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)"] + +[[package]] +name = "pluggy" +version = "1.2.0" +description = "plugin and hook calling mechanisms for python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pluggy-1.2.0-py3-none-any.whl", hash = "sha256:c2fd55a7d7a3863cba1a013e4e2414658b1d07b6bc57b3919e0c63c9abb99849"}, + {file = "pluggy-1.2.0.tar.gz", hash = "sha256:d12f0c4b579b15f5e054301bb226ee85eeeba08ffec228092f8defbaa3a4c4b3"}, +] + +[package.extras] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] + +[[package]] +name = "prometheus-client" +version = "0.17.0" +description = "Python client for the Prometheus monitoring system." +optional = false +python-versions = ">=3.6" +files = [ + {file = "prometheus_client-0.17.0-py3-none-any.whl", hash = "sha256:a77b708cf083f4d1a3fb3ce5c95b4afa32b9c521ae363354a4a910204ea095ce"}, + {file = "prometheus_client-0.17.0.tar.gz", hash = "sha256:9c3b26f1535945e85b8934fb374678d263137b78ef85f305b1156c7c881cd11b"}, +] + +[package.extras] +twisted = ["twisted"] + +[[package]] +name = "prompt-toolkit" +version = "3.0.39" +description = "Library for building powerful interactive command lines in Python" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "prompt_toolkit-3.0.39-py3-none-any.whl", hash = "sha256:9dffbe1d8acf91e3de75f3b544e4842382fc06c6babe903ac9acb74dc6e08d88"}, + {file = "prompt_toolkit-3.0.39.tar.gz", hash = "sha256:04505ade687dc26dc4284b1ad19a83be2f2afe83e7a828ace0c72f3a1df72aac"}, +] + +[package.dependencies] +wcwidth = "*" + +[[package]] +name = "psutil" +version = "5.9.5" +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.*" +files = [ + {file = "psutil-5.9.5-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:be8929ce4313f9f8146caad4272f6abb8bf99fc6cf59344a3167ecd74f4f203f"}, + {file = "psutil-5.9.5-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ab8ed1a1d77c95453db1ae00a3f9c50227ebd955437bcf2a574ba8adbf6a74d5"}, + {file = "psutil-5.9.5-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:4aef137f3345082a3d3232187aeb4ac4ef959ba3d7c10c33dd73763fbc063da4"}, + {file = "psutil-5.9.5-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:ea8518d152174e1249c4f2a1c89e3e6065941df2fa13a1ab45327716a23c2b48"}, + {file = "psutil-5.9.5-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:acf2aef9391710afded549ff602b5887d7a2349831ae4c26be7c807c0a39fac4"}, + {file = "psutil-5.9.5-cp27-none-win32.whl", hash = "sha256:5b9b8cb93f507e8dbaf22af6a2fd0ccbe8244bf30b1baad6b3954e935157ae3f"}, + {file = "psutil-5.9.5-cp27-none-win_amd64.whl", hash = "sha256:8c5f7c5a052d1d567db4ddd231a9d27a74e8e4a9c3f44b1032762bd7b9fdcd42"}, + {file = "psutil-5.9.5-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:3c6f686f4225553615612f6d9bc21f1c0e305f75d7d8454f9b46e901778e7217"}, + {file = "psutil-5.9.5-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7a7dd9997128a0d928ed4fb2c2d57e5102bb6089027939f3b722f3a210f9a8da"}, + {file = "psutil-5.9.5-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89518112647f1276b03ca97b65cc7f64ca587b1eb0278383017c2a0dcc26cbe4"}, + {file = "psutil-5.9.5-cp36-abi3-win32.whl", hash = "sha256:104a5cc0e31baa2bcf67900be36acde157756b9c44017b86b2c049f11957887d"}, + {file = "psutil-5.9.5-cp36-abi3-win_amd64.whl", hash = "sha256:b258c0c1c9d145a1d5ceffab1134441c4c5113b2417fafff7315a917a026c3c9"}, + {file = "psutil-5.9.5-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:c607bb3b57dc779d55e1554846352b4e358c10fff3abf3514a7a6601beebdb30"}, + {file = "psutil-5.9.5.tar.gz", hash = "sha256:5410638e4df39c54d957fc51ce03048acd8e6d60abc0f5107af51e5fb566eb3c"}, +] + +[package.extras] +test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +description = "Run a subprocess in a pseudo terminal" +optional = false +python-versions = "*" +files = [ + {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, + {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, +] + +[[package]] +name = "pure-eval" +version = "0.2.2" +description = "Safely evaluate AST nodes without side effects" +optional = false +python-versions = "*" +files = [ + {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"}, + {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"}, +] + +[package.extras] +tests = ["pytest"] + +[[package]] +name = "pycparser" +version = "2.21" +description = "C parser in Python" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"}, + {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"}, +] + +[[package]] +name = "pygments" +version = "2.15.1" +description = "Pygments is a syntax highlighting package written in Python." +optional = false +python-versions = ">=3.7" +files = [ + {file = "Pygments-2.15.1-py3-none-any.whl", hash = "sha256:db2db3deb4b4179f399a09054b023b6a586b76499d36965813c71aa8ed7b5fd1"}, + {file = "Pygments-2.15.1.tar.gz", hash = "sha256:8ace4d3c1dd481894b2005f560ead0f9f19ee64fe983366be1a21e171d12775c"}, +] + +[package.extras] +plugins = ["importlib-metadata"] + +[[package]] +name = "pymdown-extensions" +version = "10.0.1" +description = "Extension pack for Python Markdown." +optional = false +python-versions = ">=3.7" +files = [ + {file = "pymdown_extensions-10.0.1-py3-none-any.whl", hash = "sha256:ae66d84013c5d027ce055693e09a4628b67e9dec5bce05727e45b0918e36f274"}, + {file = "pymdown_extensions-10.0.1.tar.gz", hash = "sha256:b44e1093a43b8a975eae17b03c3a77aad4681b3b56fce60ce746dbef1944c8cb"}, +] + +[package.dependencies] +markdown = ">=3.2" +pyyaml = "*" + +[[package]] +name = "pyparsing" +version = "3.1.0" +description = "pyparsing module - Classes and methods to define and execute parsing grammars" +optional = false +python-versions = ">=3.6.8" +files = [ + {file = "pyparsing-3.1.0-py3-none-any.whl", hash = "sha256:d554a96d1a7d3ddaf7183104485bc19fd80543ad6ac5bdb6426719d766fb06c1"}, + {file = "pyparsing-3.1.0.tar.gz", hash = "sha256:edb662d6fe322d6e990b1594b5feaeadf806803359e3d4d42f11e295e588f0ea"}, +] + +[package.extras] +diagrams = ["jinja2", "railroad-diagrams"] + +[[package]] +name = "pyrsistent" +version = "0.19.3" +description = "Persistent/Functional/Immutable data structures" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pyrsistent-0.19.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:20460ac0ea439a3e79caa1dbd560344b64ed75e85d8703943e0b66c2a6150e4a"}, + {file = "pyrsistent-0.19.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c18264cb84b5e68e7085a43723f9e4c1fd1d935ab240ce02c0324a8e01ccb64"}, + {file = "pyrsistent-0.19.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4b774f9288dda8d425adb6544e5903f1fb6c273ab3128a355c6b972b7df39dcf"}, + {file = "pyrsistent-0.19.3-cp310-cp310-win32.whl", hash = "sha256:5a474fb80f5e0d6c9394d8db0fc19e90fa540b82ee52dba7d246a7791712f74a"}, + {file = "pyrsistent-0.19.3-cp310-cp310-win_amd64.whl", hash = "sha256:49c32f216c17148695ca0e02a5c521e28a4ee6c5089f97e34fe24163113722da"}, + {file = "pyrsistent-0.19.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f0774bf48631f3a20471dd7c5989657b639fd2d285b861237ea9e82c36a415a9"}, + {file = "pyrsistent-0.19.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab2204234c0ecd8b9368dbd6a53e83c3d4f3cab10ecaf6d0e772f456c442393"}, + {file = "pyrsistent-0.19.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e42296a09e83028b3476f7073fcb69ffebac0e66dbbfd1bd847d61f74db30f19"}, + {file = "pyrsistent-0.19.3-cp311-cp311-win32.whl", hash = "sha256:64220c429e42a7150f4bfd280f6f4bb2850f95956bde93c6fda1b70507af6ef3"}, + {file = "pyrsistent-0.19.3-cp311-cp311-win_amd64.whl", hash = "sha256:016ad1afadf318eb7911baa24b049909f7f3bb2c5b1ed7b6a8f21db21ea3faa8"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c4db1bd596fefd66b296a3d5d943c94f4fac5bcd13e99bffe2ba6a759d959a28"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aeda827381f5e5d65cced3024126529ddc4289d944f75e090572c77ceb19adbf"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:42ac0b2f44607eb92ae88609eda931a4f0dfa03038c44c772e07f43e738bcac9"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-win32.whl", hash = "sha256:e8f2b814a3dc6225964fa03d8582c6e0b6650d68a232df41e3cc1b66a5d2f8d1"}, + {file = "pyrsistent-0.19.3-cp37-cp37m-win_amd64.whl", hash = "sha256:c9bb60a40a0ab9aba40a59f68214eed5a29c6274c83b2cc206a359c4a89fa41b"}, + {file = "pyrsistent-0.19.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a2471f3f8693101975b1ff85ffd19bb7ca7dd7c38f8a81701f67d6b4f97b87d8"}, + {file = "pyrsistent-0.19.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc5d149f31706762c1f8bda2e8c4f8fead6e80312e3692619a75301d3dbb819a"}, + {file = "pyrsistent-0.19.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3311cb4237a341aa52ab8448c27e3a9931e2ee09561ad150ba94e4cfd3fc888c"}, + {file = "pyrsistent-0.19.3-cp38-cp38-win32.whl", hash = "sha256:f0e7c4b2f77593871e918be000b96c8107da48444d57005b6a6bc61fb4331b2c"}, + {file = "pyrsistent-0.19.3-cp38-cp38-win_amd64.whl", hash = "sha256:c147257a92374fde8498491f53ffa8f4822cd70c0d85037e09028e478cababb7"}, + {file = "pyrsistent-0.19.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b735e538f74ec31378f5a1e3886a26d2ca6351106b4dfde376a26fc32a044edc"}, + {file = "pyrsistent-0.19.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:99abb85579e2165bd8522f0c0138864da97847875ecbd45f3e7e2af569bfc6f2"}, + {file = "pyrsistent-0.19.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a8cb235fa6d3fd7aae6a4f1429bbb1fec1577d978098da1252f0489937786f3"}, + {file = "pyrsistent-0.19.3-cp39-cp39-win32.whl", hash = "sha256:c74bed51f9b41c48366a286395c67f4e894374306b197e62810e0fdaf2364da2"}, + {file = "pyrsistent-0.19.3-cp39-cp39-win_amd64.whl", hash = "sha256:878433581fc23e906d947a6814336eee031a00e6defba224234169ae3d3d6a98"}, + {file = "pyrsistent-0.19.3-py3-none-any.whl", hash = "sha256:ccf0d6bd208f8111179f0c26fdf84ed7c3891982f2edaeae7422575f47e66b64"}, + {file = "pyrsistent-0.19.3.tar.gz", hash = "sha256:1a2994773706bbb4995c31a97bc94f1418314923bd1048c6d964837040376440"}, +] + +[[package]] +name = "pytest" +version = "7.4.0" +description = "pytest: simple powerful testing with Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"}, + {file = "pytest-7.4.0.tar.gz", hash = "sha256:b4bf8c45bd59934ed84001ad51e11b4ee40d40a1229d2c79f9c592b0a3f6bd8a"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} +iniconfig = "*" +packaging = "*" +pluggy = ">=0.12,<2.0" +tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} + +[package.extras] +testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] + +[[package]] +name = "python-dateutil" +version = "2.8.2" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +files = [ + {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, + {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "python-json-logger" +version = "2.0.7" +description = "A python library adding a json log formatter" +optional = false +python-versions = ">=3.6" +files = [ + {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"}, + {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"}, +] + +[[package]] +name = "pywin32" +version = "306" +description = "Python for Window Extensions" +optional = false +python-versions = "*" +files = [ + {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"}, + {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"}, + {file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"}, + {file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"}, + {file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"}, + {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"}, + {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"}, + {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"}, + {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"}, + {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"}, + {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"}, + {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"}, + {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"}, + {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"}, +] + +[[package]] +name = "pywin32-ctypes" +version = "0.2.2" +description = "A (partial) reimplementation of pywin32 using ctypes/cffi" +optional = false +python-versions = ">=3.6" +files = [ + {file = "pywin32-ctypes-0.2.2.tar.gz", hash = "sha256:3426e063bdd5fd4df74a14fa3cf80a0b42845a87e1d1e81f6549f9daec593a60"}, + {file = "pywin32_ctypes-0.2.2-py3-none-any.whl", hash = "sha256:bf490a1a709baf35d688fe0ecf980ed4de11d2b3e37b51e5442587a75d9957e7"}, +] + +[[package]] +name = "pywinpty" +version = "2.0.10" +description = "Pseudo terminal support for Windows from Python." +optional = false +python-versions = ">=3.7" +files = [ + {file = "pywinpty-2.0.10-cp310-none-win_amd64.whl", hash = "sha256:4c7d06ad10f6e92bc850a467f26d98f4f30e73d2fe5926536308c6ae0566bc16"}, + {file = "pywinpty-2.0.10-cp311-none-win_amd64.whl", hash = "sha256:7ffbd66310b83e42028fc9df7746118978d94fba8c1ebf15a7c1275fdd80b28a"}, + {file = "pywinpty-2.0.10-cp37-none-win_amd64.whl", hash = "sha256:38cb924f2778b5751ef91a75febd114776b3af0ae411bc667be45dd84fc881d3"}, + {file = "pywinpty-2.0.10-cp38-none-win_amd64.whl", hash = "sha256:902d79444b29ad1833b8d5c3c9aabdfd428f4f068504430df18074007c8c0de8"}, + {file = "pywinpty-2.0.10-cp39-none-win_amd64.whl", hash = "sha256:3c46aef80dd50979aff93de199e4a00a8ee033ba7a03cadf0a91fed45f0c39d7"}, + {file = "pywinpty-2.0.10.tar.gz", hash = "sha256:cdbb5694cf8c7242c2ecfaca35c545d31fa5d5814c3d67a4e628f803f680ebea"}, +] + +[[package]] +name = "pyyaml" +version = "6.0" +description = "YAML parser and emitter for Python" +optional = false +python-versions = ">=3.6" +files = [ + {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"}, + {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"}, + {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"}, + {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"}, + {file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"}, + {file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"}, + {file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"}, + {file = "PyYAML-6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d4b0ba9512519522b118090257be113b9468d804b19d63c71dbcf4a48fa32358"}, + {file = "PyYAML-6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:81957921f441d50af23654aa6c5e5eaf9b06aba7f0a19c18a538dc7ef291c5a1"}, + {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afa17f5bc4d1b10afd4466fd3a44dc0e245382deca5b3c353d8b757f9e3ecb8d"}, + {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dbad0e9d368bb989f4515da330b88a057617d16b6a8245084f1b05400f24609f"}, + {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:432557aa2c09802be39460360ddffd48156e30721f5e8d917f01d31694216782"}, + {file = "PyYAML-6.0-cp311-cp311-win32.whl", hash = "sha256:bfaef573a63ba8923503d27530362590ff4f576c626d86a9fed95822a8255fd7"}, + {file = "PyYAML-6.0-cp311-cp311-win_amd64.whl", hash = "sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf"}, + {file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"}, + {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"}, + {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"}, + {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"}, + {file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"}, + {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"}, + {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"}, + {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"}, + {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"}, + {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"}, + {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"}, + {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"}, + {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"}, + {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"}, + {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"}, + {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"}, + {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"}, + {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"}, + {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"}, + {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"}, + {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"}, + {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"}, + {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"}, + {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"}, + {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"}, + {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"}, +] + +[[package]] +name = "pyyaml-env-tag" +version = "0.1" +description = "A custom YAML tag for referencing environment variables in YAML files. " +optional = false +python-versions = ">=3.6" +files = [ + {file = "pyyaml_env_tag-0.1-py3-none-any.whl", hash = "sha256:af31106dec8a4d68c60207c1886031cbf839b68aa7abccdb19868200532c2069"}, + {file = "pyyaml_env_tag-0.1.tar.gz", hash = "sha256:70092675bda14fdec33b31ba77e7543de9ddc88f2e5b99160396572d11525bdb"}, +] + +[package.dependencies] +pyyaml = "*" + +[[package]] +name = "pyzmq" +version = "25.1.0" +description = "Python bindings for 0MQ" +optional = false +python-versions = ">=3.6" +files = [ + {file = "pyzmq-25.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:1a6169e69034eaa06823da6a93a7739ff38716142b3596c180363dee729d713d"}, + {file = "pyzmq-25.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:19d0383b1f18411d137d891cab567de9afa609b214de68b86e20173dc624c101"}, + {file = "pyzmq-25.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1e931d9a92f628858a50f5bdffdfcf839aebe388b82f9d2ccd5d22a38a789dc"}, + {file = "pyzmq-25.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:97d984b1b2f574bc1bb58296d3c0b64b10e95e7026f8716ed6c0b86d4679843f"}, + {file = "pyzmq-25.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:154bddda2a351161474b36dba03bf1463377ec226a13458725183e508840df89"}, + {file = "pyzmq-25.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:cb6d161ae94fb35bb518b74bb06b7293299c15ba3bc099dccd6a5b7ae589aee3"}, + {file = "pyzmq-25.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:90146ab578931e0e2826ee39d0c948d0ea72734378f1898939d18bc9c823fcf9"}, + {file = "pyzmq-25.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:831ba20b660b39e39e5ac8603e8193f8fce1ee03a42c84ade89c36a251449d80"}, + {file = "pyzmq-25.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:3a522510e3434e12aff80187144c6df556bb06fe6b9d01b2ecfbd2b5bfa5c60c"}, + {file = "pyzmq-25.1.0-cp310-cp310-win32.whl", hash = "sha256:be24a5867b8e3b9dd5c241de359a9a5217698ff616ac2daa47713ba2ebe30ad1"}, + {file = "pyzmq-25.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:5693dcc4f163481cf79e98cf2d7995c60e43809e325b77a7748d8024b1b7bcba"}, + {file = "pyzmq-25.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:13bbe36da3f8aaf2b7ec12696253c0bf6ffe05f4507985a8844a1081db6ec22d"}, + {file = "pyzmq-25.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:69511d604368f3dc58d4be1b0bad99b61ee92b44afe1cd9b7bd8c5e34ea8248a"}, + {file = "pyzmq-25.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a983c8694667fd76d793ada77fd36c8317e76aa66eec75be2653cef2ea72883"}, + {file = "pyzmq-25.1.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:332616f95eb400492103ab9d542b69d5f0ff628b23129a4bc0a2fd48da6e4e0b"}, + {file = "pyzmq-25.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58416db767787aedbfd57116714aad6c9ce57215ffa1c3758a52403f7c68cff5"}, + {file = "pyzmq-25.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:cad9545f5801a125f162d09ec9b724b7ad9b6440151b89645241d0120e119dcc"}, + {file = "pyzmq-25.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d6128d431b8dfa888bf51c22a04d48bcb3d64431caf02b3cb943269f17fd2994"}, + {file = "pyzmq-25.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:2b15247c49d8cbea695b321ae5478d47cffd496a2ec5ef47131a9e79ddd7e46c"}, + {file = "pyzmq-25.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:442d3efc77ca4d35bee3547a8e08e8d4bb88dadb54a8377014938ba98d2e074a"}, + {file = "pyzmq-25.1.0-cp311-cp311-win32.whl", hash = "sha256:65346f507a815a731092421d0d7d60ed551a80d9b75e8b684307d435a5597425"}, + {file = "pyzmq-25.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:8b45d722046fea5a5694cba5d86f21f78f0052b40a4bbbbf60128ac55bfcc7b6"}, + {file = "pyzmq-25.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f45808eda8b1d71308c5416ef3abe958f033fdbb356984fabbfc7887bed76b3f"}, + {file = "pyzmq-25.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b697774ea8273e3c0460cf0bba16cd85ca6c46dfe8b303211816d68c492e132"}, + {file = "pyzmq-25.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b324fa769577fc2c8f5efcd429cef5acbc17d63fe15ed16d6dcbac2c5eb00849"}, + {file = "pyzmq-25.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:5873d6a60b778848ce23b6c0ac26c39e48969823882f607516b91fb323ce80e5"}, + {file = "pyzmq-25.1.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:f0d9e7ba6a815a12c8575ba7887da4b72483e4cfc57179af10c9b937f3f9308f"}, + {file = "pyzmq-25.1.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:414b8beec76521358b49170db7b9967d6974bdfc3297f47f7d23edec37329b00"}, + {file = "pyzmq-25.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:01f06f33e12497dca86353c354461f75275a5ad9eaea181ac0dc1662da8074fa"}, + {file = "pyzmq-25.1.0-cp36-cp36m-win32.whl", hash = "sha256:b5a07c4f29bf7cb0164664ef87e4aa25435dcc1f818d29842118b0ac1eb8e2b5"}, + {file = "pyzmq-25.1.0-cp36-cp36m-win_amd64.whl", hash = "sha256:968b0c737797c1809ec602e082cb63e9824ff2329275336bb88bd71591e94a90"}, + {file = "pyzmq-25.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:47b915ba666c51391836d7ed9a745926b22c434efa76c119f77bcffa64d2c50c"}, + {file = "pyzmq-25.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5af31493663cf76dd36b00dafbc839e83bbca8a0662931e11816d75f36155897"}, + {file = "pyzmq-25.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5489738a692bc7ee9a0a7765979c8a572520d616d12d949eaffc6e061b82b4d1"}, + {file = "pyzmq-25.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1fc56a0221bdf67cfa94ef2d6ce5513a3d209c3dfd21fed4d4e87eca1822e3a3"}, + {file = "pyzmq-25.1.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:75217e83faea9edbc29516fc90c817bc40c6b21a5771ecb53e868e45594826b0"}, + {file = "pyzmq-25.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:3830be8826639d801de9053cf86350ed6742c4321ba4236e4b5568528d7bfed7"}, + {file = "pyzmq-25.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3575699d7fd7c9b2108bc1c6128641a9a825a58577775ada26c02eb29e09c517"}, + {file = "pyzmq-25.1.0-cp37-cp37m-win32.whl", hash = "sha256:95bd3a998d8c68b76679f6b18f520904af5204f089beebb7b0301d97704634dd"}, + {file = "pyzmq-25.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:dbc466744a2db4b7ca05589f21ae1a35066afada2f803f92369f5877c100ef62"}, + {file = "pyzmq-25.1.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:3bed53f7218490c68f0e82a29c92335daa9606216e51c64f37b48eb78f1281f4"}, + {file = "pyzmq-25.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:eb52e826d16c09ef87132c6e360e1879c984f19a4f62d8a935345deac43f3c12"}, + {file = "pyzmq-25.1.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ddbef8b53cd16467fdbfa92a712eae46dd066aa19780681a2ce266e88fbc7165"}, + {file = "pyzmq-25.1.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:9301cf1d7fc1ddf668d0abbe3e227fc9ab15bc036a31c247276012abb921b5ff"}, + {file = "pyzmq-25.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7e23a8c3b6c06de40bdb9e06288180d630b562db8ac199e8cc535af81f90e64b"}, + {file = "pyzmq-25.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4a82faae00d1eed4809c2f18b37f15ce39a10a1c58fe48b60ad02875d6e13d80"}, + {file = "pyzmq-25.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c8398a1b1951aaa330269c35335ae69744be166e67e0ebd9869bdc09426f3871"}, + {file = "pyzmq-25.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d40682ac60b2a613d36d8d3a0cd14fbdf8e7e0618fbb40aa9fa7b796c9081584"}, + {file = "pyzmq-25.1.0-cp38-cp38-win32.whl", hash = "sha256:33d5c8391a34d56224bccf74f458d82fc6e24b3213fc68165c98b708c7a69325"}, + {file = "pyzmq-25.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:c66b7ff2527e18554030319b1376d81560ca0742c6e0b17ff1ee96624a5f1afd"}, + {file = "pyzmq-25.1.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:af56229ea6527a849ac9fb154a059d7e32e77a8cba27e3e62a1e38d8808cb1a5"}, + {file = "pyzmq-25.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bdca18b94c404af6ae5533cd1bc310c4931f7ac97c148bbfd2cd4bdd62b96253"}, + {file = "pyzmq-25.1.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0b6b42f7055bbc562f63f3df3b63e3dd1ebe9727ff0f124c3aa7bcea7b3a00f9"}, + {file = "pyzmq-25.1.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4c2fc7aad520a97d64ffc98190fce6b64152bde57a10c704b337082679e74f67"}, + {file = "pyzmq-25.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be86a26415a8b6af02cd8d782e3a9ae3872140a057f1cadf0133de685185c02b"}, + {file = "pyzmq-25.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:851fb2fe14036cfc1960d806628b80276af5424db09fe5c91c726890c8e6d943"}, + {file = "pyzmq-25.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2a21fec5c3cea45421a19ccbe6250c82f97af4175bc09de4d6dd78fb0cb4c200"}, + {file = "pyzmq-25.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bad172aba822444b32eae54c2d5ab18cd7dee9814fd5c7ed026603b8cae2d05f"}, + {file = "pyzmq-25.1.0-cp39-cp39-win32.whl", hash = "sha256:4d67609b37204acad3d566bb7391e0ecc25ef8bae22ff72ebe2ad7ffb7847158"}, + {file = "pyzmq-25.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:71c7b5896e40720d30cd77a81e62b433b981005bbff0cb2f739e0f8d059b5d99"}, + {file = "pyzmq-25.1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4cb27ef9d3bdc0c195b2dc54fcb8720e18b741624686a81942e14c8b67cc61a6"}, + {file = "pyzmq-25.1.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0c4fc2741e0513b5d5a12fe200d6785bbcc621f6f2278893a9ca7bed7f2efb7d"}, + {file = "pyzmq-25.1.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:fc34fdd458ff77a2a00e3c86f899911f6f269d393ca5675842a6e92eea565bae"}, + {file = "pyzmq-25.1.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8751f9c1442624da391bbd92bd4b072def6d7702a9390e4479f45c182392ff78"}, + {file = "pyzmq-25.1.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:6581e886aec3135964a302a0f5eb68f964869b9efd1dbafdebceaaf2934f8a68"}, + {file = "pyzmq-25.1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5482f08d2c3c42b920e8771ae8932fbaa0a67dff925fc476996ddd8155a170f3"}, + {file = "pyzmq-25.1.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5e7fbcafa3ea16d1de1f213c226005fea21ee16ed56134b75b2dede5a2129e62"}, + {file = "pyzmq-25.1.0-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:adecf6d02b1beab8d7c04bc36f22bb0e4c65a35eb0b4750b91693631d4081c70"}, + {file = "pyzmq-25.1.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f6d39e42a0aa888122d1beb8ec0d4ddfb6c6b45aecb5ba4013c27e2f28657765"}, + {file = "pyzmq-25.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:7018289b402ebf2b2c06992813523de61d4ce17bd514c4339d8f27a6f6809492"}, + {file = "pyzmq-25.1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9e68ae9864d260b18f311b68d29134d8776d82e7f5d75ce898b40a88df9db30f"}, + {file = "pyzmq-25.1.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e21cc00e4debe8f54c3ed7b9fcca540f46eee12762a9fa56feb8512fd9057161"}, + {file = "pyzmq-25.1.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2f666ae327a6899ff560d741681fdcdf4506f990595201ed39b44278c471ad98"}, + {file = "pyzmq-25.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f5efcc29056dfe95e9c9db0dfbb12b62db9c4ad302f812931b6d21dd04a9119"}, + {file = "pyzmq-25.1.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:48e5e59e77c1a83162ab3c163fc01cd2eebc5b34560341a67421b09be0891287"}, + {file = "pyzmq-25.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:108c96ebbd573d929740d66e4c3d1bdf31d5cde003b8dc7811a3c8c5b0fc173b"}, + {file = "pyzmq-25.1.0.tar.gz", hash = "sha256:80c41023465d36280e801564a69cbfce8ae85ff79b080e1913f6e90481fb8957"}, +] + +[package.dependencies] +cffi = {version = "*", markers = "implementation_name == \"pypy\""} + +[[package]] +name = "readme-renderer" +version = "40.0" +description = "readme_renderer is a library for rendering \"readme\" descriptions for Warehouse" +optional = false +python-versions = ">=3.8" +files = [ + {file = "readme_renderer-40.0-py3-none-any.whl", hash = "sha256:e18feb2a1e7706f2865b81ebb460056d93fb29d69daa10b223c00faa7bd9a00a"}, + {file = "readme_renderer-40.0.tar.gz", hash = "sha256:9f77b519d96d03d7d7dce44977ba543090a14397c4f60de5b6eb5b8048110aa4"}, +] + +[package.dependencies] +bleach = ">=2.1.0" +docutils = ">=0.13.1" +Pygments = ">=2.5.1" + +[package.extras] +md = ["cmarkgfm (>=0.8.0)"] + +[[package]] +name = "regex" +version = "2023.6.3" +description = "Alternative regular expression module, to replace re." +optional = false +python-versions = ">=3.6" +files = [ + {file = "regex-2023.6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:824bf3ac11001849aec3fa1d69abcb67aac3e150a933963fb12bda5151fe1bfd"}, + {file = "regex-2023.6.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:05ed27acdf4465c95826962528f9e8d41dbf9b1aa8531a387dee6ed215a3e9ef"}, + {file = "regex-2023.6.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b49c764f88a79160fa64f9a7b425620e87c9f46095ef9c9920542ab2495c8bc"}, + {file = "regex-2023.6.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8e3f1316c2293e5469f8f09dc2d76efb6c3982d3da91ba95061a7e69489a14ef"}, + {file = "regex-2023.6.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:43e1dd9d12df9004246bacb79a0e5886b3b6071b32e41f83b0acbf293f820ee8"}, + {file = "regex-2023.6.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4959e8bcbfda5146477d21c3a8ad81b185cd252f3d0d6e4724a5ef11c012fb06"}, + {file = "regex-2023.6.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:af4dd387354dc83a3bff67127a124c21116feb0d2ef536805c454721c5d7993d"}, + {file = "regex-2023.6.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2239d95d8e243658b8dbb36b12bd10c33ad6e6933a54d36ff053713f129aa536"}, + {file = "regex-2023.6.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:890e5a11c97cf0d0c550eb661b937a1e45431ffa79803b942a057c4fb12a2da2"}, + {file = "regex-2023.6.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a8105e9af3b029f243ab11ad47c19b566482c150c754e4c717900a798806b222"}, + {file = "regex-2023.6.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:25be746a8ec7bc7b082783216de8e9473803706723b3f6bef34b3d0ed03d57e2"}, + {file = "regex-2023.6.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:3676f1dd082be28b1266c93f618ee07741b704ab7b68501a173ce7d8d0d0ca18"}, + {file = "regex-2023.6.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:10cb847aeb1728412c666ab2e2000ba6f174f25b2bdc7292e7dd71b16db07568"}, + {file = "regex-2023.6.3-cp310-cp310-win32.whl", hash = "sha256:dbbbfce33cd98f97f6bffb17801b0576e653f4fdb1d399b2ea89638bc8d08ae1"}, + {file = "regex-2023.6.3-cp310-cp310-win_amd64.whl", hash = "sha256:c5f8037000eb21e4823aa485149f2299eb589f8d1fe4b448036d230c3f4e68e0"}, + {file = "regex-2023.6.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c123f662be8ec5ab4ea72ea300359023a5d1df095b7ead76fedcd8babbedf969"}, + {file = "regex-2023.6.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9edcbad1f8a407e450fbac88d89e04e0b99a08473f666a3f3de0fd292badb6aa"}, + {file = "regex-2023.6.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcba6dae7de533c876255317c11f3abe4907ba7d9aa15d13e3d9710d4315ec0e"}, + {file = "regex-2023.6.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29cdd471ebf9e0f2fb3cac165efedc3c58db841d83a518b082077e612d3ee5df"}, + {file = "regex-2023.6.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:12b74fbbf6cbbf9dbce20eb9b5879469e97aeeaa874145517563cca4029db65c"}, + {file = "regex-2023.6.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c29ca1bd61b16b67be247be87390ef1d1ef702800f91fbd1991f5c4421ebae8"}, + {file = "regex-2023.6.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d77f09bc4b55d4bf7cc5eba785d87001d6757b7c9eec237fe2af57aba1a071d9"}, + {file = "regex-2023.6.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ea353ecb6ab5f7e7d2f4372b1e779796ebd7b37352d290096978fea83c4dba0c"}, + {file = "regex-2023.6.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:10590510780b7541969287512d1b43f19f965c2ece6c9b1c00fc367b29d8dce7"}, + {file = "regex-2023.6.3-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e2fbd6236aae3b7f9d514312cdb58e6494ee1c76a9948adde6eba33eb1c4264f"}, + {file = "regex-2023.6.3-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:6b2675068c8b56f6bfd5a2bda55b8accbb96c02fd563704732fd1c95e2083461"}, + {file = "regex-2023.6.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:74419d2b50ecb98360cfaa2974da8689cb3b45b9deff0dcf489c0d333bcc1477"}, + {file = "regex-2023.6.3-cp311-cp311-win32.whl", hash = "sha256:fb5ec16523dc573a4b277663a2b5a364e2099902d3944c9419a40ebd56a118f9"}, + {file = "regex-2023.6.3-cp311-cp311-win_amd64.whl", hash = "sha256:09e4a1a6acc39294a36b7338819b10baceb227f7f7dbbea0506d419b5a1dd8af"}, + {file = "regex-2023.6.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:0654bca0cdf28a5956c83839162692725159f4cda8d63e0911a2c0dc76166525"}, + {file = "regex-2023.6.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:463b6a3ceb5ca952e66550a4532cef94c9a0c80dc156c4cc343041951aec1697"}, + {file = "regex-2023.6.3-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:87b2a5bb5e78ee0ad1de71c664d6eb536dc3947a46a69182a90f4410f5e3f7dd"}, + {file = "regex-2023.6.3-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6343c6928282c1f6a9db41f5fd551662310e8774c0e5ebccb767002fcf663ca9"}, + {file = "regex-2023.6.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6192d5af2ccd2a38877bfef086d35e6659566a335b1492786ff254c168b1693"}, + {file = "regex-2023.6.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74390d18c75054947e4194019077e243c06fbb62e541d8817a0fa822ea310c14"}, + {file = "regex-2023.6.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:742e19a90d9bb2f4a6cf2862b8b06dea5e09b96c9f2df1779e53432d7275331f"}, + {file = "regex-2023.6.3-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:8abbc5d54ea0ee80e37fef009e3cec5dafd722ed3c829126253d3e22f3846f1e"}, + {file = "regex-2023.6.3-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:c2b867c17a7a7ae44c43ebbeb1b5ff406b3e8d5b3e14662683e5e66e6cc868d3"}, + {file = "regex-2023.6.3-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:d831c2f8ff278179705ca59f7e8524069c1a989e716a1874d6d1aab6119d91d1"}, + {file = "regex-2023.6.3-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:ee2d1a9a253b1729bb2de27d41f696ae893507c7db224436abe83ee25356f5c1"}, + {file = "regex-2023.6.3-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:61474f0b41fe1a80e8dfa70f70ea1e047387b7cd01c85ec88fa44f5d7561d787"}, + {file = "regex-2023.6.3-cp36-cp36m-win32.whl", hash = "sha256:0b71e63226e393b534105fcbdd8740410dc6b0854c2bfa39bbda6b0d40e59a54"}, + {file = "regex-2023.6.3-cp36-cp36m-win_amd64.whl", hash = "sha256:bbb02fd4462f37060122e5acacec78e49c0fbb303c30dd49c7f493cf21fc5b27"}, + {file = "regex-2023.6.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b862c2b9d5ae38a68b92e215b93f98d4c5e9454fa36aae4450f61dd33ff48487"}, + {file = "regex-2023.6.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:976d7a304b59ede34ca2921305b57356694f9e6879db323fd90a80f865d355a3"}, + {file = "regex-2023.6.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:83320a09188e0e6c39088355d423aa9d056ad57a0b6c6381b300ec1a04ec3d16"}, + {file = "regex-2023.6.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9427a399501818a7564f8c90eced1e9e20709ece36be701f394ada99890ea4b3"}, + {file = "regex-2023.6.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7178bbc1b2ec40eaca599d13c092079bf529679bf0371c602edaa555e10b41c3"}, + {file = "regex-2023.6.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:837328d14cde912af625d5f303ec29f7e28cdab588674897baafaf505341f2fc"}, + {file = "regex-2023.6.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2d44dc13229905ae96dd2ae2dd7cebf824ee92bc52e8cf03dcead37d926da019"}, + {file = "regex-2023.6.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d54af539295392611e7efbe94e827311eb8b29668e2b3f4cadcfe6f46df9c777"}, + {file = "regex-2023.6.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:7117d10690c38a622e54c432dfbbd3cbd92f09401d622902c32f6d377e2300ee"}, + {file = "regex-2023.6.3-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bb60b503ec8a6e4e3e03a681072fa3a5adcbfa5479fa2d898ae2b4a8e24c4591"}, + {file = "regex-2023.6.3-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:65ba8603753cec91c71de423a943ba506363b0e5c3fdb913ef8f9caa14b2c7e0"}, + {file = "regex-2023.6.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:271f0bdba3c70b58e6f500b205d10a36fb4b58bd06ac61381b68de66442efddb"}, + {file = "regex-2023.6.3-cp37-cp37m-win32.whl", hash = "sha256:9beb322958aaca059f34975b0df135181f2e5d7a13b84d3e0e45434749cb20f7"}, + {file = "regex-2023.6.3-cp37-cp37m-win_amd64.whl", hash = "sha256:fea75c3710d4f31389eed3c02f62d0b66a9da282521075061ce875eb5300cf23"}, + {file = "regex-2023.6.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8f56fcb7ff7bf7404becdfc60b1e81a6d0561807051fd2f1860b0d0348156a07"}, + {file = "regex-2023.6.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d2da3abc88711bce7557412310dfa50327d5769a31d1c894b58eb256459dc289"}, + {file = "regex-2023.6.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a99b50300df5add73d307cf66abea093304a07eb017bce94f01e795090dea87c"}, + {file = "regex-2023.6.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5708089ed5b40a7b2dc561e0c8baa9535b77771b64a8330b684823cfd5116036"}, + {file = "regex-2023.6.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:687ea9d78a4b1cf82f8479cab23678aff723108df3edeac098e5b2498879f4a7"}, + {file = "regex-2023.6.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d3850beab9f527f06ccc94b446c864059c57651b3f911fddb8d9d3ec1d1b25d"}, + {file = "regex-2023.6.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e8915cc96abeb8983cea1df3c939e3c6e1ac778340c17732eb63bb96247b91d2"}, + {file = "regex-2023.6.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:841d6e0e5663d4c7b4c8099c9997be748677d46cbf43f9f471150e560791f7ff"}, + {file = "regex-2023.6.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:9edce5281f965cf135e19840f4d93d55b3835122aa76ccacfd389e880ba4cf82"}, + {file = "regex-2023.6.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:b956231ebdc45f5b7a2e1f90f66a12be9610ce775fe1b1d50414aac1e9206c06"}, + {file = "regex-2023.6.3-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:36efeba71c6539d23c4643be88295ce8c82c88bbd7c65e8a24081d2ca123da3f"}, + {file = "regex-2023.6.3-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:cf67ca618b4fd34aee78740bea954d7c69fdda419eb208c2c0c7060bb822d747"}, + {file = "regex-2023.6.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b4598b1897837067a57b08147a68ac026c1e73b31ef6e36deeeb1fa60b2933c9"}, + {file = "regex-2023.6.3-cp38-cp38-win32.whl", hash = "sha256:f415f802fbcafed5dcc694c13b1292f07fe0befdb94aa8a52905bd115ff41e88"}, + {file = "regex-2023.6.3-cp38-cp38-win_amd64.whl", hash = "sha256:d4f03bb71d482f979bda92e1427f3ec9b220e62a7dd337af0aa6b47bf4498f72"}, + {file = "regex-2023.6.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ccf91346b7bd20c790310c4147eee6ed495a54ddb6737162a36ce9dbef3e4751"}, + {file = "regex-2023.6.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b28f5024a3a041009eb4c333863d7894d191215b39576535c6734cd88b0fcb68"}, + {file = "regex-2023.6.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0bb18053dfcfed432cc3ac632b5e5e5c5b7e55fb3f8090e867bfd9b054dbcbf"}, + {file = "regex-2023.6.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a5bfb3004f2144a084a16ce19ca56b8ac46e6fd0651f54269fc9e230edb5e4a"}, + {file = "regex-2023.6.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c6b48d0fa50d8f4df3daf451be7f9689c2bde1a52b1225c5926e3f54b6a9ed1"}, + {file = "regex-2023.6.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:051da80e6eeb6e239e394ae60704d2b566aa6a7aed6f2890a7967307267a5dc6"}, + {file = "regex-2023.6.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a4c3b7fa4cdaa69268748665a1a6ff70c014d39bb69c50fda64b396c9116cf77"}, + {file = "regex-2023.6.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:457b6cce21bee41ac292d6753d5e94dcbc5c9e3e3a834da285b0bde7aa4a11e9"}, + {file = "regex-2023.6.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:aad51907d74fc183033ad796dd4c2e080d1adcc4fd3c0fd4fd499f30c03011cd"}, + {file = "regex-2023.6.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:0385e73da22363778ef2324950e08b689abdf0b108a7d8decb403ad7f5191938"}, + {file = "regex-2023.6.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:c6a57b742133830eec44d9b2290daf5cbe0a2f1d6acee1b3c7b1c7b2f3606df7"}, + {file = "regex-2023.6.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:3e5219bf9e75993d73ab3d25985c857c77e614525fac9ae02b1bebd92f7cecac"}, + {file = "regex-2023.6.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e5087a3c59eef624a4591ef9eaa6e9a8d8a94c779dade95d27c0bc24650261cd"}, + {file = "regex-2023.6.3-cp39-cp39-win32.whl", hash = "sha256:20326216cc2afe69b6e98528160b225d72f85ab080cbdf0b11528cbbaba2248f"}, + {file = "regex-2023.6.3-cp39-cp39-win_amd64.whl", hash = "sha256:bdff5eab10e59cf26bc479f565e25ed71a7d041d1ded04ccf9aee1d9f208487a"}, + {file = "regex-2023.6.3.tar.gz", hash = "sha256:72d1a25bf36d2050ceb35b517afe13864865268dfb45910e2e17a84be6cbfeb0"}, +] + +[[package]] +name = "requests" +version = "2.31.0" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.7" +files = [ + {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, + {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + +[[package]] +name = "requests-toolbelt" +version = "1.0.0" +description = "A utility belt for advanced users of python-requests" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"}, + {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"}, +] + +[package.dependencies] +requests = ">=2.0.1,<3.0.0" + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +description = "A pure python RFC3339 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, + {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, +] + +[package.dependencies] +six = "*" + +[[package]] +name = "rfc3986" +version = "2.0.0" +description = "Validating URI References per RFC 3986" +optional = false +python-versions = ">=3.7" +files = [ + {file = "rfc3986-2.0.0-py2.py3-none-any.whl", hash = "sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd"}, + {file = "rfc3986-2.0.0.tar.gz", hash = "sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c"}, +] + +[package.extras] +idna2008 = ["idna"] + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +description = "Pure python rfc3986 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, + {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, +] + +[[package]] +name = "rich" +version = "13.4.2" +description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "rich-13.4.2-py3-none-any.whl", hash = "sha256:8f87bc7ee54675732fa66a05ebfe489e27264caeeff3728c945d25971b6485ec"}, + {file = "rich-13.4.2.tar.gz", hash = "sha256:d653d6bccede5844304c605d5aac802c7cf9621efd700b46c7ec2b51ea914898"}, +] + +[package.dependencies] +markdown-it-py = ">=2.2.0" +pygments = ">=2.13.0,<3.0.0" +typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""} + +[package.extras] +jupyter = ["ipywidgets (>=7.5.1,<9)"] + +[[package]] +name = "secretstorage" +version = "3.3.3" +description = "Python bindings to FreeDesktop.org Secret Service API" +optional = false +python-versions = ">=3.6" +files = [ + {file = "SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99"}, + {file = "SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77"}, +] + +[package.dependencies] +cryptography = ">=2.0" +jeepney = ">=0.6" + +[[package]] +name = "send2trash" +version = "1.8.2" +description = "Send file to trash natively under Mac OS X, Windows and Linux" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" +files = [ + {file = "Send2Trash-1.8.2-py3-none-any.whl", hash = "sha256:a384719d99c07ce1eefd6905d2decb6f8b7ed054025bb0e618919f945de4f679"}, + {file = "Send2Trash-1.8.2.tar.gz", hash = "sha256:c132d59fa44b9ca2b1699af5c86f57ce9f4c5eb56629d5d55fbb7a35f84e2312"}, +] + +[package.extras] +nativelib = ["pyobjc-framework-Cocoa", "pywin32"] +objc = ["pyobjc-framework-Cocoa"] +win32 = ["pywin32"] + +[[package]] +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, + {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, +] + +[[package]] +name = "sniffio" +version = "1.3.0" +description = "Sniff out which async library your code is running under" +optional = false +python-versions = ">=3.7" +files = [ + {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"}, + {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"}, +] + +[[package]] +name = "soupsieve" +version = "2.4.1" +description = "A modern CSS selector implementation for Beautiful Soup." +optional = false +python-versions = ">=3.7" +files = [ + {file = "soupsieve-2.4.1-py3-none-any.whl", hash = "sha256:1c1bfee6819544a3447586c889157365a27e10d88cde3ad3da0cf0ddf646feb8"}, + {file = "soupsieve-2.4.1.tar.gz", hash = "sha256:89d12b2d5dfcd2c9e8c22326da9d9aa9cb3dfab0a83a024f05704076ee8d35ea"}, +] + +[[package]] +name = "stack-data" +version = "0.6.2" +description = "Extract data from python stack frames and tracebacks for informative displays" +optional = false +python-versions = "*" +files = [ + {file = "stack_data-0.6.2-py3-none-any.whl", hash = "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"}, + {file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"}, +] + +[package.dependencies] +asttokens = ">=2.1.0" +executing = ">=1.2.0" +pure-eval = "*" + +[package.extras] +tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] + +[[package]] +name = "terminado" +version = "0.17.1" +description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." +optional = false +python-versions = ">=3.7" +files = [ + {file = "terminado-0.17.1-py3-none-any.whl", hash = "sha256:8650d44334eba354dd591129ca3124a6ba42c3d5b70df5051b6921d506fdaeae"}, + {file = "terminado-0.17.1.tar.gz", hash = "sha256:6ccbbcd3a4f8a25a5ec04991f39a0b8db52dfcd487ea0e578d977e6752380333"}, +] + +[package.dependencies] +ptyprocess = {version = "*", markers = "os_name != \"nt\""} +pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} +tornado = ">=6.1.0" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] + +[[package]] +name = "tinycss2" +version = "1.2.1" +description = "A tiny CSS parser" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tinycss2-1.2.1-py3-none-any.whl", hash = "sha256:2b80a96d41e7c3914b8cda8bc7f705a4d9c49275616e886103dd839dfc847847"}, + {file = "tinycss2-1.2.1.tar.gz", hash = "sha256:8cff3a8f066c2ec677c06dbc7b45619804a6938478d9d73c284b29d14ecb0627"}, +] + +[package.dependencies] +webencodings = ">=0.4" + +[package.extras] +doc = ["sphinx", "sphinx_rtd_theme"] +test = ["flake8", "isort", "pytest"] + +[[package]] +name = "tomli" +version = "2.0.1" +description = "A lil' TOML parser" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, + {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, +] + +[[package]] +name = "tornado" +version = "6.3.2" +description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." +optional = false +python-versions = ">= 3.8" +files = [ + {file = "tornado-6.3.2-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:c367ab6c0393d71171123ca5515c61ff62fe09024fa6bf299cd1339dc9456829"}, + {file = "tornado-6.3.2-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:b46a6ab20f5c7c1cb949c72c1994a4585d2eaa0be4853f50a03b5031e964fc7c"}, + {file = "tornado-6.3.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c2de14066c4a38b4ecbbcd55c5cc4b5340eb04f1c5e81da7451ef555859c833f"}, + {file = "tornado-6.3.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:05615096845cf50a895026f749195bf0b10b8909f9be672f50b0fe69cba368e4"}, + {file = "tornado-6.3.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b17b1cf5f8354efa3d37c6e28fdfd9c1c1e5122f2cb56dac121ac61baa47cbe"}, + {file = "tornado-6.3.2-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:29e71c847a35f6e10ca3b5c2990a52ce38b233019d8e858b755ea6ce4dcdd19d"}, + {file = "tornado-6.3.2-cp38-abi3-musllinux_1_1_i686.whl", hash = "sha256:834ae7540ad3a83199a8da8f9f2d383e3c3d5130a328889e4cc991acc81e87a0"}, + {file = "tornado-6.3.2-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:6a0848f1aea0d196a7c4f6772197cbe2abc4266f836b0aac76947872cd29b411"}, + {file = "tornado-6.3.2-cp38-abi3-win32.whl", hash = "sha256:7efcbcc30b7c654eb6a8c9c9da787a851c18f8ccd4a5a3a95b05c7accfa068d2"}, + {file = "tornado-6.3.2-cp38-abi3-win_amd64.whl", hash = "sha256:0c325e66c8123c606eea33084976c832aa4e766b7dff8aedd7587ea44a604cdf"}, + {file = "tornado-6.3.2.tar.gz", hash = "sha256:4b927c4f19b71e627b13f3db2324e4ae660527143f9e1f2e2fb404f3a187e2ba"}, +] + +[[package]] +name = "traitlets" +version = "5.9.0" +description = "Traitlets Python configuration system" +optional = false +python-versions = ">=3.7" +files = [ + {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"}, + {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"}, +] + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"] + +[[package]] +name = "twine" +version = "4.0.2" +description = "Collection of utilities for publishing packages on PyPI" +optional = false +python-versions = ">=3.7" +files = [ + {file = "twine-4.0.2-py3-none-any.whl", hash = "sha256:929bc3c280033347a00f847236564d1c52a3e61b1ac2516c97c48f3ceab756d8"}, + {file = "twine-4.0.2.tar.gz", hash = "sha256:9e102ef5fdd5a20661eb88fad46338806c3bd32cf1db729603fe3697b1bc83c8"}, +] + +[package.dependencies] +importlib-metadata = ">=3.6" +keyring = ">=15.1" +pkginfo = ">=1.8.1" +readme-renderer = ">=35.0" +requests = ">=2.20" +requests-toolbelt = ">=0.8.0,<0.9.0 || >0.9.0" +rfc3986 = ">=1.4.0" +rich = ">=12.0.0" +urllib3 = ">=1.26.0" + +[[package]] +name = "typing-extensions" +version = "4.7.1" +description = "Backported and Experimental Type Hints for Python 3.7+" +optional = false +python-versions = ">=3.7" +files = [ + {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"}, + {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"}, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +description = "RFC 6570 URI Template Processor" +optional = false +python-versions = ">=3.7" +files = [ + {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, + {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, +] + +[package.extras] +dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] + +[[package]] +name = "urllib3" +version = "2.0.3" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.7" +files = [ + {file = "urllib3-2.0.3-py3-none-any.whl", hash = "sha256:48e7fafa40319d358848e1bc6809b208340fafe2096f1725d05d67443d0483d1"}, + {file = "urllib3-2.0.3.tar.gz", hash = "sha256:bee28b5e56addb8226c96f7f13ac28cb4c301dd5ea8a6ca179c0b9835e032825"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "watchdog" +version = "3.0.0" +description = "Filesystem events monitoring" +optional = false +python-versions = ">=3.7" +files = [ + {file = "watchdog-3.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:336adfc6f5cc4e037d52db31194f7581ff744b67382eb6021c868322e32eef41"}, + {file = "watchdog-3.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a70a8dcde91be523c35b2bf96196edc5730edb347e374c7de7cd20c43ed95397"}, + {file = "watchdog-3.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:adfdeab2da79ea2f76f87eb42a3ab1966a5313e5a69a0213a3cc06ef692b0e96"}, + {file = "watchdog-3.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2b57a1e730af3156d13b7fdddfc23dea6487fceca29fc75c5a868beed29177ae"}, + {file = "watchdog-3.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7ade88d0d778b1b222adebcc0927428f883db07017618a5e684fd03b83342bd9"}, + {file = "watchdog-3.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7e447d172af52ad204d19982739aa2346245cc5ba6f579d16dac4bfec226d2e7"}, + {file = "watchdog-3.0.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:9fac43a7466eb73e64a9940ac9ed6369baa39b3bf221ae23493a9ec4d0022674"}, + {file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8ae9cda41fa114e28faf86cb137d751a17ffd0316d1c34ccf2235e8a84365c7f"}, + {file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:25f70b4aa53bd743729c7475d7ec41093a580528b100e9a8c5b5efe8899592fc"}, + {file = "watchdog-3.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4f94069eb16657d2c6faada4624c39464f65c05606af50bb7902e036e3219be3"}, + {file = "watchdog-3.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7c5f84b5194c24dd573fa6472685b2a27cc5a17fe5f7b6fd40345378ca6812e3"}, + {file = "watchdog-3.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3aa7f6a12e831ddfe78cdd4f8996af9cf334fd6346531b16cec61c3b3c0d8da0"}, + {file = "watchdog-3.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:233b5817932685d39a7896b1090353fc8efc1ef99c9c054e46c8002561252fb8"}, + {file = "watchdog-3.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:13bbbb462ee42ec3c5723e1205be8ced776f05b100e4737518c67c8325cf6100"}, + {file = "watchdog-3.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:8f3ceecd20d71067c7fd4c9e832d4e22584318983cabc013dbf3f70ea95de346"}, + {file = "watchdog-3.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c9d8c8ec7efb887333cf71e328e39cffbf771d8f8f95d308ea4125bf5f90ba64"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0e06ab8858a76e1219e68c7573dfeba9dd1c0219476c5a44d5333b01d7e1743a"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:d00e6be486affb5781468457b21a6cbe848c33ef43f9ea4a73b4882e5f188a44"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:c07253088265c363d1ddf4b3cdb808d59a0468ecd017770ed716991620b8f77a"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:5113334cf8cf0ac8cd45e1f8309a603291b614191c9add34d33075727a967709"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:51f90f73b4697bac9c9a78394c3acbbd331ccd3655c11be1a15ae6fe289a8c83"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:ba07e92756c97e3aca0912b5cbc4e5ad802f4557212788e72a72a47ff376950d"}, + {file = "watchdog-3.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"}, + {file = "watchdog-3.0.0-py3-none-win32.whl", hash = "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f"}, + {file = "watchdog-3.0.0-py3-none-win_amd64.whl", hash = "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c"}, + {file = "watchdog-3.0.0-py3-none-win_ia64.whl", hash = "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759"}, + {file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"}, +] + +[package.extras] +watchmedo = ["PyYAML (>=3.10)"] + +[[package]] +name = "wcwidth" +version = "0.2.6" +description = "Measures the displayed width of unicode strings in a terminal" +optional = false +python-versions = "*" +files = [ + {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"}, + {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"}, +] + +[[package]] +name = "webcolors" +version = "1.13" +description = "A library for working with the color formats defined by HTML and CSS." +optional = false +python-versions = ">=3.7" +files = [ + {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"}, + {file = "webcolors-1.13.tar.gz", hash = "sha256:c225b674c83fa923be93d235330ce0300373d02885cef23238813b0d5668304a"}, +] + +[package.extras] +docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"] +tests = ["pytest", "pytest-cov"] + +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character encoding aliases for legacy web content" +optional = false +python-versions = "*" +files = [ + {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, + {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, +] + +[[package]] +name = "websocket-client" +version = "1.6.1" +description = "WebSocket client for Python with low level API options" +optional = false +python-versions = ">=3.7" +files = [ + {file = "websocket-client-1.6.1.tar.gz", hash = "sha256:c951af98631d24f8df89ab1019fc365f2227c0892f12fd150e935607c79dd0dd"}, + {file = "websocket_client-1.6.1-py3-none-any.whl", hash = "sha256:f1f9f2ad5291f0225a49efad77abf9e700b6fef553900623060dad6e26503b9d"}, +] + +[package.extras] +docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"] +optional = ["python-socks", "wsaccel"] +test = ["websockets"] + +[[package]] +name = "wheel" +version = "0.40.0" +description = "A built-package format for Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "wheel-0.40.0-py3-none-any.whl", hash = "sha256:d236b20e7cb522daf2390fa84c55eea81c5c30190f90f29ae2ca1ad8355bf247"}, + {file = "wheel-0.40.0.tar.gz", hash = "sha256:cd1196f3faee2b31968d626e1731c94f99cbdb67cf5a46e4f5656cbee7738873"}, +] + +[package.extras] +test = ["pytest (>=6.0.0)"] + +[[package]] +name = "zipp" +version = "3.15.0" +description = "Backport of pathlib-compatible object wrapper for zip files" +optional = false +python-versions = ">=3.7" +files = [ + {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"}, + {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"}, +] + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.8,<3.12.0" +content-hash = "8777ed8dd5ccda675c5df73933396e114d531646fd43a3e3773c267a7ce26831" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..d92917dd --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,65 @@ +[tool.poetry] +name = "supervision" +version = "0.11.0" +description = "A set of easy-to-use utils that will come in handy in any Computer Vision project" +authors = ["Piotr Skalski "] +maintainers = ["Piotr Skalski "] +readme = "README.md" +packages = [{include = "supervision"}] +homepage = "https://github.com/roboflow/supervision" +repository = "https://github.com/roboflow/supervision" +documentation = "https://github.com/roboflow/supervision/blob/main/README.md" +keywords = ["machine-learning", "deep-learning", "vision", "ML", "DL", "AI", "YOLOv5", "YOLOv8", "Roboflow"] + +classifiers=[ + 'Intended Audience :: Developers', + 'Intended Audience :: Science/Research', + 'License :: OSI Approved :: BSD License', + 'Programming Language :: Python :: 3', + 'Programming Language :: Python :: 3.7', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Programming Language :: Python :: 3 :: Only', + 'Topic :: Software Development', + 'Topic :: Scientific/Engineering', + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Topic :: Scientific/Engineering :: Image Recognition", + 'Typing :: Typed', + 'Operating System :: Microsoft :: Windows', + 'Operating System :: POSIX', + 'Operating System :: Unix', + 'Operating System :: MacOS' +] + +[tool.poetry.dependencies] +python = ">=3.8,<3.12.0" +numpy = "^1.20.0" +opencv-python-headless = "^4.8.0.74" +matplotlib = "^3.7.1" +pyyaml = "^6.0" +opencv-python= { version = "^4.8.0.74", optional = true } + + +[tool.poetry.extras] +full = ["opencv-python"] + + +[tool.poetry.group.dev.dependencies] +twine = "^4.0.2" +pytest = "^7.2.2" +wheel = "^0.40.0" +notebook = "^6.5.3" +mkdocs-material = "^9.1.4" +mkdocstrings = {extras = ["python"], version = "^0.20.0"} + + +[tool.setuptools] +include-package-data = false + +[tool.setuptools.packages.find] +exclude = ["docs*", "test*"] + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" From 9e1e9fc2fcc60591605f2b816957bb92a3374a8b Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 5 Jul 2023 00:04:41 +0300 Subject: [PATCH 08/70] =?UTF-8?q?ci(removal):=20=F0=9F=A7=AA=20removing=20?= =?UTF-8?q?python=203.7=20from=20test=20and=20update=20other=20action=20ve?= =?UTF-8?q?rsions?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- .github/workflows/test.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 8e1552a8..c55ebeda 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -9,14 +9,14 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [3.7, 3.8, 3.9, '3.10'] + python-version: ["3.8", "3.9", "3.10","3.11"] steps: - name: 🛎️ Checkout uses: actions/checkout@v3 with: ref: ${{ github.head_ref }} - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: 🦾 Install dependencies From 19271f362ebcfe26ce187582ec26df5df770cf72 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 5 Jul 2023 00:33:15 +0300 Subject: [PATCH 09/70] fix: toml file version fix and removal of setup.py and adjusment on makefile Signed-off-by: Onuralp SEZER --- Makefile | 2 +- pyproject.toml | 2 +- setup.py | 71 -------------------------------------------------- 3 files changed, 2 insertions(+), 73 deletions(-) delete mode 100644 setup.py diff --git a/Makefile b/Makefile index 507bf0aa..6b57c00f 100644 --- a/Makefile +++ b/Makefile @@ -16,7 +16,7 @@ check_code_quality: flake8 $(check_dirs) --count --max-line-length=88 --exit-zero --ignore=D --extend-ignore=E203,E501,W503 --statistics publish: - python setup.py sdist bdist_wheel + poetry build twine upload -r testpypi dist/* -u ${PYPI_USERNAME} -p ${PYPI_TEST_PASSWORD} --verbose twine check dist/* twine upload dist/* -u ${PYPI_USERNAME} -p ${PYPI_PASSWORD} --verbose \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index d92917dd..45dfbf4b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "supervision" -version = "0.11.0" +version = "0.11.1" description = "A set of easy-to-use utils that will come in handy in any Computer Vision project" authors = ["Piotr Skalski "] maintainers = ["Piotr Skalski "] diff --git a/setup.py b/setup.py deleted file mode 100644 index ac3add4f..00000000 --- a/setup.py +++ /dev/null @@ -1,71 +0,0 @@ -import setuptools -from setuptools import find_packages -import re -from pathlib import Path - -FILE = Path(__file__).resolve() -PARENT = FILE.parent # root directory -README = (PARENT / "README.md").read_text(encoding="utf-8") - - -def get_version(): - file = PARENT / 'supervision/__init__.py' - return re.search(r'^__version__ = [\'"]([^\'"]*)[\'"]', file.read_text(encoding="utf-8"), re.M)[1] - - -setuptools.setup( - name='supervision', - version=get_version(), - author='Piotr Skalski', - author_email='piotr.skalski92@gmail.com', - license='MIT', - description='A set of easy-to-use utils that will come in handy in any Computer Vision project', - long_description=README, - long_description_content_type='text/markdown', - url='https://github.com/roboflow/supervision', - install_requires=[ - 'numpy>=1.20.0', - 'opencv-python', - 'matplotlib', - 'pyyaml' - ], - packages=find_packages(exclude=("tests",)), - extras_require={ - 'dev': [ - 'flake8', - 'black==22.3.0', - 'isort', - 'twine', - 'pytest', - 'wheel', - 'notebook', - 'mkdocs-material', - 'mkdocstrings[python]' - ], - }, - classifiers=[ - 'Development Status :: 4 - Beta', - 'Intended Audience :: Developers', - 'Intended Audience :: Education', - 'Intended Audience :: Science/Research', - 'License :: OSI Approved :: MIT License', - 'Programming Language :: Python :: 3', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Programming Language :: Python :: 3.9', - 'Programming Language :: Python :: 3.10', - 'Programming Language :: Python :: 3.11', - 'Programming Language :: Python :: 3 :: Only', - 'Topic :: Software Development', - 'Topic :: Scientific/Engineering', - "Topic :: Scientific/Engineering :: Artificial Intelligence", - "Topic :: Scientific/Engineering :: Image Recognition", - 'Typing :: Typed', - 'Operating System :: Microsoft :: Windows', - 'Operating System :: POSIX', - 'Operating System :: Unix', - 'Operating System :: MacOS' - ], - keywords="machine-learning, deep-learning, vision, ML, DL, AI, YOLOv5, YOLOv8, SAM, Roboflow", - python_requires='>=3.7', -) From c9d85477f19ef028510158d4a022a0da9371fd46 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 5 Jul 2023 01:39:47 +0300 Subject: [PATCH 10/70] ci(pypa-action): introduce pypa github action for uploading to pypi and pypi-test Signed-off-by: Onuralp SEZER --- .github/workflows/publish.yml | 31 +++++++++++++++++++------- poetry.lock | 42 ++++++++++++++++++++++++++++++++++- pyproject.toml | 3 ++- 3 files changed, 66 insertions(+), 10 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 17e1fc2f..35ea3249 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -16,17 +16,32 @@ jobs: with: ref: ${{ github.head_ref }} - name: 🐍 Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: 🦾 Install dependencies run: | + python -m pip install --upgrade virtualenv python -m pip install --upgrade pip - pip install ".[dev]" - - name: 🚀 Publish to PyPi - env: - PYPI_USERNAME: ${{ secrets.PYPI_USERNAME }} - PYPI_PASSWORD: ${{ secrets.PYPI_PASSWORD }} - PYPI_TEST_PASSWORD: ${{ secrets.PYPI_TEST_PASSWORD }} + virtualenv venv + source venv/bin/activate + python -m pip install --upgrade pip + python -m pip install --upgrade poetry + poetry install + + - name: 🏗️ Build source and wheel distributions run: | - make publish -e PYPI_USERNAME=$PYPI_USERNAME -e PYPI_PASSWORD=$PYPI_PASSWORD -e PYPI_TEST_PASSWORD=$PYPI_TEST_PASSWORD \ No newline at end of file + python -m pip install --upgrade build twine + python -m build + twine check --strict dist/* + - name: 🚀 Publish to PyPi + uses: pypa/gh-action-pypi-publish@release/v1 + with: + user: ${{ secrets.PYPI_USERNAME }} + password: ${{ secrets.PYPI_PASSWORD }} + - name: 🚀 Publish to Test-PyPi + uses: pypa/gh-action-pypi-publish@release/v1 + with: + repository-url: https://test.pypi.org/legacy/ + user: ${{ secrets.PYPI_USERNAME }} + password: ${{ secrets.PYPI_TEST_PASSWORD }} diff --git a/poetry.lock b/poetry.lock index 73d6bf90..0de73ed3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -184,6 +184,29 @@ webencodings = "*" [package.extras] css = ["tinycss2 (>=1.1.0,<1.2)"] +[[package]] +name = "build" +version = "0.10.0" +description = "A simple, correct Python build frontend" +optional = false +python-versions = ">= 3.7" +files = [ + {file = "build-0.10.0-py3-none-any.whl", hash = "sha256:af266720050a66c893a6096a2f410989eeac74ff9a68ba194b3f6473e8e26171"}, + {file = "build-0.10.0.tar.gz", hash = "sha256:d5b71264afdb5951d6704482aac78de887c80691c52b88a9ad195983ca2c9269"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "os_name == \"nt\""} +packaging = ">=19.0" +pyproject_hooks = "*" +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} + +[package.extras] +docs = ["furo (>=2021.08.31)", "sphinx (>=4.0,<5.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)"] +test = ["filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "toml (>=0.10.0)", "wheel (>=0.36.0)"] +typing = ["importlib-metadata (>=5.1)", "mypy (==0.991)", "tomli", "typing-extensions (>=3.7.4.3)"] +virtualenv = ["virtualenv (>=20.0.35)"] + [[package]] name = "certifi" version = "2023.5.7" @@ -2142,6 +2165,20 @@ files = [ [package.extras] diagrams = ["jinja2", "railroad-diagrams"] +[[package]] +name = "pyproject-hooks" +version = "1.0.0" +description = "Wrappers to call pyproject.toml-based build backend hooks." +optional = false +python-versions = ">=3.7" +files = [ + {file = "pyproject_hooks-1.0.0-py3-none-any.whl", hash = "sha256:283c11acd6b928d2f6a7c73fa0d01cb2bdc5f07c57a2eeb6e83d5e56b97976f8"}, + {file = "pyproject_hooks-1.0.0.tar.gz", hash = "sha256:f271b298b97f5955d53fb12b72c1fb1948c22c1a6b70b315c54cedaca0264ef5"}, +] + +[package.dependencies] +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} + [[package]] name = "pyrsistent" version = "0.19.3" @@ -2987,7 +3024,10 @@ files = [ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +[extras] +full = ["opencv-python"] + [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.12.0" -content-hash = "8777ed8dd5ccda675c5df73933396e114d531646fd43a3e3773c267a7ce26831" +content-hash = "21f47d3dbad5236bdbc96992030cd9ec54a8feeb828bafe76e1e7e4c46e4dbba" diff --git a/pyproject.toml b/pyproject.toml index 45dfbf4b..2262e085 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "supervision" -version = "0.11.1" +version = "0.12.0" description = "A set of easy-to-use utils that will come in handy in any Computer Vision project" authors = ["Piotr Skalski "] maintainers = ["Piotr Skalski "] @@ -52,6 +52,7 @@ wheel = "^0.40.0" notebook = "^6.5.3" mkdocs-material = "^9.1.4" mkdocstrings = {extras = ["python"], version = "^0.20.0"} +build = "^0.10.0" [tool.setuptools] From a50e47e7c07b56b21283427c4064dda9623079cb Mon Sep 17 00:00:00 2001 From: hd Date: Wed, 5 Jul 2023 09:20:50 +0200 Subject: [PATCH 11/70] tracked detection method added along with trackstorage --- supervision/detection/core.py | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index 78ce1be2..0b55d173 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -244,21 +244,17 @@ class Detections: ```python >>> import cv2 >>> import supervision as sv - >>> from mmdet.apis import inference_detector, init_detector - >>> from mmengine.config import Config + >>> from mmdet.apis import DetInferencer - >>> image = cv2.imread(SOURCE_IMAGE_PATH) - >>> config = Config.fromfile(CONFIG) - >>> model = init_detector(config, CHECKPOINT, device=device, cfg_options={}) - >>> img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) - >>> mmdet_result = inference_detector(model, img_rgb) + >>> inferencer = DetInferencer(model_name, checkpoint, device) + >>> mmdet_result = inferencer(SOURCE_IMAGE_PATH, out_dir='./output')["predictions"][0] >>> detections = sv.Detections.from_mmdet(mmdet_result) ``` """ return cls( - xyxy=mmdet_results.pred_instances.bboxes.xyxy.cpu().numpy(), - confidence=mmdet_results.pred_instances.scores.cpu().numpy(), - class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int), + xyxy=np.asarray(mmdet_results["bboxes"]), + confidence=np.asarray(mmdet_results["scores"]), + class_id=np.asarray(mmdet_results["labels"], dtype=int), ) @classmethod From 5291706bc19ce858d1bf52a41ae6d5093f0037dc Mon Sep 17 00:00:00 2001 From: hd Date: Wed, 5 Jul 2023 09:59:16 +0200 Subject: [PATCH 12/70] revert to original method --- supervision/detection/core.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index 0b55d173..f48f8380 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -252,9 +252,9 @@ class Detections: ``` """ return cls( - xyxy=np.asarray(mmdet_results["bboxes"]), - confidence=np.asarray(mmdet_results["scores"]), - class_id=np.asarray(mmdet_results["labels"], dtype=int), + xyxy=mmdet_results.predictions.bboxes.xyxy.cpu().numpy(), + confidence=mmdet_results.predictions.scores.cpu().numpy(), + class_id=mmdet_results.predictions.labels.cpu().numpy().astype(int), ) @classmethod From 597c776c39ff43c3a08731f8ffd57523c0f7a838 Mon Sep 17 00:00:00 2001 From: hd Date: Wed, 5 Jul 2023 10:06:23 +0200 Subject: [PATCH 13/70] Fixing typo in variable --- supervision/detection/core.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index f48f8380..1c845dd4 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -252,9 +252,9 @@ class Detections: ``` """ return cls( - xyxy=mmdet_results.predictions.bboxes.xyxy.cpu().numpy(), - confidence=mmdet_results.predictions.scores.cpu().numpy(), - class_id=mmdet_results.predictions.labels.cpu().numpy().astype(int), + xyxy=mmdet_results.pred_instances.bboxes.xyxy.cpu().numpy(), + confidence=mmdet_results.pred_instances.scores.cpu().numpy(), + class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int), ) @classmethod From 183ba1e8098275e14af5f49c91bc40f1b406db89 Mon Sep 17 00:00:00 2001 From: hd Date: Wed, 5 Jul 2023 10:09:04 +0200 Subject: [PATCH 14/70] Fixing conversion --- supervision/detection/core.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index 1c845dd4..1714e18b 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -252,8 +252,8 @@ class Detections: ``` """ return cls( - xyxy=mmdet_results.pred_instances.bboxes.xyxy.cpu().numpy(), - confidence=mmdet_results.pred_instances.scores.cpu().numpy(), + xyxy=mmdet_results.pred_instances.bboxes.cpu().numpy(), + confidence=mmdet_results.pred_instances.cpu().numpy(), class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int), ) From 3f78150a1dd83f16237626eb3a2d330aa395e9cf Mon Sep 17 00:00:00 2001 From: hd Date: Wed, 5 Jul 2023 10:11:55 +0200 Subject: [PATCH 15/70] Fixing docstrings and model instructions --- supervision/detection/core.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/supervision/detection/core.py b/supervision/detection/core.py index 1714e18b..9aab3630 100644 --- a/supervision/detection/core.py +++ b/supervision/detection/core.py @@ -247,13 +247,13 @@ class Detections: >>> from mmdet.apis import DetInferencer >>> inferencer = DetInferencer(model_name, checkpoint, device) - >>> mmdet_result = inferencer(SOURCE_IMAGE_PATH, out_dir='./output')["predictions"][0] + >>> mmdet_result = inferencer(SOURCE_IMAGE_PATH, out_dir='./output', return_datasample=True)["predictions"][0] >>> detections = sv.Detections.from_mmdet(mmdet_result) ``` """ return cls( xyxy=mmdet_results.pred_instances.bboxes.cpu().numpy(), - confidence=mmdet_results.pred_instances.cpu().numpy(), + confidence=mmdet_results.pred_instances.scores.cpu().numpy(), class_id=mmdet_results.pred_instances.labels.cpu().numpy().astype(int), ) From 35d9ee7bad2197479b082a79c0120ae53cd2d686 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Wed, 5 Jul 2023 14:08:39 +0200 Subject: [PATCH 16/70] non-int ticks --- supervision/metrics/detection.py | 93 ++++++++++++++++++++++---------- 1 file changed, 64 insertions(+), 29 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 51a9da5a..9d6977e1 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -60,15 +60,15 @@ class ConfusionMatrix: ... [ 0.1, 0.1, 3.0, 3.0 ], ... [ 6.0, 1.0, 8.0, 3.0 ], ... [ 1.0, 6.0, 2.0, 7.0 ], - ... ]), - ... confidence=array([ 0.9, 0.9, 0.8, 0.8 ]), + ... ]), + ... confidence=array([ 0.9, 0.9, 0.8, 0.8 ]), ... class_id=array([1, 0, 1, 1]) ... ), ... Detections( ... xyxy=array([ ... [ 1.0, 1.0, 2.0, 2.0 ] - ... ]), - ... confidence=array([ 0.8 ]), + ... ]), + ... confidence=array([ 0.8 ]), ... class_id=array([2]) ... ) ... ] @@ -89,7 +89,7 @@ class ConfusionMatrix: ``` """ # TODO: add validation for inputs - + num_classes = len(classes) matrix = np.zeros((num_classes + 1, num_classes + 1)) for true_batch, detection_batch in zip(target, predictions): @@ -116,7 +116,6 @@ class ConfusionMatrix: conf_threshold: float, iou_threshold: float, ) -> np.ndarray: - result_matrix = np.zeros((num_classes + 1, num_classes + 1)) detection_batch_filtered = pred_detections[ pred_detections.confidence > conf_threshold @@ -178,16 +177,18 @@ class ConfusionMatrix: Create confusion matrix plot and save it at selected location. Args: - target_path: `str` selected target location of confusion matrix plot. - title: `Optional[str]` title displayed at the top of the confusion matrix plot. Default `None`. - class_names: `Optional[List[str]]` list of class names detected my model. If non given class indexes will be used. Default `None`. - normalize: `bool` if set to `False` chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. + target_path: save location of confusion matrix plot. + title: title displayed at the top of the confusion matrix plot. Default `None`. + class_names: list of class names detected my model. If non given class indexes will be used. Default `None`. + normalize: chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. """ # TODO: replace seaborn with matplotlib + import matplotlib.pyplot as plt import seaborn as sn + from matplotlib import rcParams - rcParams["font.family"] = "sans-serif" - rcParams["font.sans-serif"] = ["Verdana"] + # rcParams["font.family"] = "sans-serif" + # rcParams["font.sans-serif"] = ["Verdana"] array = self.matrix.copy() @@ -196,8 +197,8 @@ class ConfusionMatrix: array[array < 0.005] = np.nan - fig = plt.figure(figsize=(12, 10), tight_layout=True, facecolor="white") - sn.set(font_scale=1.0 if self.num_classes < 50 else 0.8) + fig, ax = plt.subplots(figsize=(12, 10), tight_layout=True, facecolor="white") + # sn.set(font_scale=1.0 if self.num_classes < 50 else 0.8) labels = ( class_names is not None @@ -206,24 +207,58 @@ class ConfusionMatrix: ) x_tick_labels = class_names + ["FN"] if labels else "auto" y_tick_labels = class_names + ["FP"] if labels else "auto" - sn.heatmap( - array, - annot=self.num_classes < 30, - annot_kws={"size": 8}, - fmt=".2f", - square=True, - vmin=0, - cmap="Blues", - xticklabels=x_tick_labels, - yticklabels=y_tick_labels, - ).set_facecolor((1, 1, 1)) + # sn.heatmap( + # array, + # annot=self.num_classes < 30, + # annot_kws={"size": 8}, + # fmt=".2f", + # square=True, + # vmin=0, + # cmap="Blues", + # xticklabels=x_tick_labels, + # yticklabels=y_tick_labels, + # ).set_facecolor((1, 1, 1)) + im = ax.imshow(array, cmap="Blues") + # Create colorbar + cbar_kw = {} + cbarlabel = "" + cbar = ax.figure.colorbar(im, ax=ax, **cbar_kw) + cbar.ax.set_ylabel(cbarlabel, rotation=-90, va="bottom") + cbar.mappable.set_clim(vmin=0, vmax=np.nanmax(array)) + # Disable grid lines in the axis + ax.grid(False) + + # Adjust the z-order of the grid lines + ax.set_axisbelow(True) + ax.yaxis.grid(color='gray', zorder=0) + ax.xaxis.grid(color='gray', zorder=0) + + # Show all ticks and label them with the respective list entries. + ax.set_xticks(np.arange(array.shape[1])-0.5) + ax.set_yticks(np.arange(array.shape[0])-0.5) + # ax.grid(which="major", color="gray", linestyle="-", linewidth=1) + # ax.tick_params(which="minor", bottom=False, left=False) + + # Let the horizontal axes labeling appear on top. + # ax.tick_params(top=True, bottom=False, labeltop=True, labelbottom=False) + + # Rotate the tick labels and set their alignment. + plt.setp(ax.get_xticklabels(), rotation=90, ha="right", rotation_mode="anchor") + + # Turn spines off and create white grid. + # ax.spines[:].set_visible(False) + + # ax.set_xticks(x_tick_labels, minor=True) + # ax.set_yticks(y_tick_labels, minor=True) + # ax.grid(which="minor", color="w", linestyle="-", linewidth=1) + # ax.tick_params(which="minor", bottom=False, left=False) if title: - fig.axes[0].set_title(title, fontsize=20) + ax.set_title(title, fontsize=20) - fig.axes[0].set_xlabel("Predicted") - fig.axes[0].set_ylabel("True") - fig.axes[0].set_facecolor("white") + ax.set_xlabel("Predicted") + ax.set_ylabel("True") + ax.set_facecolor("white") fig.savefig( target_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True ) From f7a4a788ed658956de0485fad7ac819371ab6fea Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 5 Jul 2023 15:20:57 +0300 Subject: [PATCH 17/70] =?UTF-8?q?docs:=20=F0=9F=93=9D=20removing=20python?= =?UTF-8?q?=203.7=20metadata=20pyproject=20docs:=20=F0=9F=93=9D=20change?= =?UTF-8?q?=20min=20python=203.7=20to=203.8=20in=20readme?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- README.md | 2 +- pyproject.toml | 3 +-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 04ea6c28..89bea7cf 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ ## 💻 install Pip install the supervision package in a -[**3.11>=Python>=3.7**](https://www.python.org/) environment. +[**3.11>=Python>=3.8**](https://www.python.org/) environment. ```bash pip install supervision diff --git a/pyproject.toml b/pyproject.toml index 2262e085..7035d7c1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,6 @@ classifiers=[ 'Intended Audience :: Science/Research', 'License :: OSI Approved :: BSD License', 'Programming Language :: Python :: 3', - 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10', @@ -38,7 +37,7 @@ numpy = "^1.20.0" opencv-python-headless = "^4.8.0.74" matplotlib = "^3.7.1" pyyaml = "^6.0" -opencv-python= { version = "^4.8.0.74", optional = true } +opencv-python = { version = "^4.8.0.74", optional = true } [tool.poetry.extras] From cc81ae723becc43a906020ae74cd8b9624fcbd80 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 5 Jul 2023 15:37:50 +0300 Subject: [PATCH 18/70] =?UTF-8?q?feat(version):=20=E2=9C=A8=20dynamic=20ve?= =?UTF-8?q?rsion=20from=20=5F=5Fpackage=5F=5F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- supervision/__init__.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/supervision/__init__.py b/supervision/__init__.py index 30694450..84b79f63 100644 --- a/supervision/__init__.py +++ b/supervision/__init__.py @@ -1,4 +1,6 @@ -__version__ = "0.11.1" +import importlib.metadata as importlib_metadata +__version__ = importlib_metadata.version(__package__) + from supervision.classification.core import Classifications from supervision.dataset.core import ( From c83e57c6384b5e879aa52196f7d59a9420b1c214 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Thu, 6 Jul 2023 09:35:27 +0300 Subject: [PATCH 19/70] =?UTF-8?q?fix:=20=F0=9F=93=9D=20rename=20extras=20g?= =?UTF-8?q?roup=20into=20desktop=20and=20headless?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- pyproject.toml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 7035d7c1..0f831b82 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,15 +34,15 @@ classifiers=[ [tool.poetry.dependencies] python = ">=3.8,<3.12.0" numpy = "^1.20.0" -opencv-python-headless = "^4.8.0.74" matplotlib = "^3.7.1" pyyaml = "^6.0" opencv-python = { version = "^4.8.0.74", optional = true } +opencv-python-headless = { version = "^4.8.0.74", optional = true } [tool.poetry.extras] -full = ["opencv-python"] - +desktop = ["opencv-python"] +headless = ["opencv-python-headless"] [tool.poetry.group.dev.dependencies] twine = "^4.0.2" From a75a92708c0528df87aa52c7c76e5f92757ca29d Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Thu, 6 Jul 2023 09:38:55 +0300 Subject: [PATCH 20/70] =?UTF-8?q?feat(package):=20=F0=9F=93=A6=20pillow=20?= =?UTF-8?q?library=20added=20into=20toml=20file=20as=20deps?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- poetry.lock | 19 ++++++++++--------- pyproject.toml | 1 + 2 files changed, 11 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index 0de73ed3..d4ff5abd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1802,19 +1802,19 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, - {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, - {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, - {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, + {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, ] [[package]] name = "opencv-python-headless" version = "4.8.0.74" description = "Wrapper package for OpenCV python bindings." -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "opencv-python-headless-4.8.0.74.tar.gz", hash = "sha256:a72770b8f2e08358b1faa41c8372b17d040aa9bb3e446ab7090e358f6f4e91ba"}, @@ -1829,12 +1829,12 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""}, - {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, - {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, - {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, + {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, + {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, + {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, ] [[package]] @@ -3025,9 +3025,10 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] [extras] -full = ["opencv-python"] +desktop = ["opencv-python"] +headless = ["opencv-python-headless"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.12.0" -content-hash = "21f47d3dbad5236bdbc96992030cd9ec54a8feeb828bafe76e1e7e4c46e4dbba" +content-hash = "69e24891a555fc7a0973d421ec9a2afcbb1229ef66e88e3ded887fd97c4c709c" diff --git a/pyproject.toml b/pyproject.toml index 0f831b82..baa838a9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ python = ">=3.8,<3.12.0" numpy = "^1.20.0" matplotlib = "^3.7.1" pyyaml = "^6.0" +pillow = "^10.0.0" opencv-python = { version = "^4.8.0.74", optional = true } opencv-python-headless = { version = "^4.8.0.74", optional = true } From 4375e1924536f2c415799f2e7b299a42e787e726 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 09:37:00 +0200 Subject: [PATCH 21/70] add benchmark() --- supervision/metrics/detection.py | 59 +++++++++++++++++++++----------- 1 file changed, 39 insertions(+), 20 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 9d6977e1..21fc1559 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -21,7 +21,7 @@ class ConfusionMatrix: def from_detections( cls, predictions: List[sv.Detections], - target: List[sv.Detections], + targets: List[sv.Detections], classes: List[str], conf_threshold: float = 0.3, iou_threshold: float = 0.5, @@ -92,7 +92,7 @@ class ConfusionMatrix: num_classes = len(classes) matrix = np.zeros((num_classes + 1, num_classes + 1)) - for true_batch, detection_batch in zip(target, predictions): + for true_batch, detection_batch in zip(targets, predictions): matrix += ConfusionMatrix._evaluate_detection_batch( true_detections=true_batch, pred_detections=detection_batch, @@ -166,6 +166,39 @@ class ConfusionMatrix: matches = matches[np.unique(matches[:, 0], return_index=True)[1]] return matches + @classmethod + def benchmark( + cls, + dataset: sv.DetectionDataset, + callback: Callable[[np.ndarray], sv.Detections], + conf_threshold: float = 0.3, + iou_threshold: float = 0.5, + ) -> "ConfusionMatrix": + """ + Create confusion matrix from dataset and callback function. + + Args: + dataset: an annotated dataset. + callback: a function that takes an image as input and returns detections. + conf_threshold: see ConfusionMatrix.from_detections. + iou_threshold: see ConfusionMatrix.from_detections. + + Returns: + ConfusionMatrix object. + """ + predictions = [] + targets = [] + for img_name, img in dataset.images.items(): + predictions.append(callback(img)) + targets.append(dataset.annotations[img_name]) + return cls.from_detections( + predictions=predictions, + targets=targets, + classes=dataset.classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + def plot( self, target_path: str, @@ -182,10 +215,6 @@ class ConfusionMatrix: class_names: list of class names detected my model. If non given class indexes will be used. Default `None`. normalize: chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. """ - # TODO: replace seaborn with matplotlib - import matplotlib.pyplot as plt - import seaborn as sn - from matplotlib import rcParams # rcParams["font.family"] = "sans-serif" # rcParams["font.sans-serif"] = ["Verdana"] @@ -230,12 +259,12 @@ class ConfusionMatrix: # Adjust the z-order of the grid lines ax.set_axisbelow(True) - ax.yaxis.grid(color='gray', zorder=0) - ax.xaxis.grid(color='gray', zorder=0) + ax.yaxis.grid(color="gray", zorder=0) + ax.xaxis.grid(color="gray", zorder=0) # Show all ticks and label them with the respective list entries. - ax.set_xticks(np.arange(array.shape[1])-0.5) - ax.set_yticks(np.arange(array.shape[0])-0.5) + ax.set_xticks(np.arange(array.shape[1]) - 0.5) + ax.set_yticks(np.arange(array.shape[0]) - 0.5) # ax.grid(which="major", color="gray", linestyle="-", linewidth=1) # ax.tick_params(which="minor", bottom=False, left=False) @@ -262,13 +291,3 @@ class ConfusionMatrix: fig.savefig( target_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True ) - - @classmethod - def benchmark( - cls, - dataset: sv.DetectionDataset, - callback: Callable[[np.ndarray], sv.Detections], - conf_threshold: float = 0.3, - iou_threshold: float = 0.5, - ) -> "ConfusionMatrix": - pass From 6784c78b4f889e59e75dcfc52d40bf279627f817 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 22:27:21 +0200 Subject: [PATCH 22/70] refine plot() --- supervision/metrics/detection.py | 86 +++++++++++++++----------------- 1 file changed, 41 insertions(+), 45 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 21fc1559..dd482643 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -201,7 +201,7 @@ class ConfusionMatrix: def plot( self, - target_path: str, + save_path: str, title: Optional[str] = None, class_names: Optional[List[str]] = None, normalize: bool = True, @@ -216,71 +216,69 @@ class ConfusionMatrix: normalize: chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. """ - # rcParams["font.family"] = "sans-serif" - # rcParams["font.sans-serif"] = ["Verdana"] + rcParams["font.family"] = "sans-serif" + rcParams["font.sans-serif"] = ["Verdana"] array = self.matrix.copy() + # num_classes = self.num_classes + 1 + num_classes = 21 + class_names = class_names[:20] + array = array[:20, :20] + array[0, 0] = 10 + array[1, 8] = 15 + array[2, 9] = 20 + array[3, 10] = 25 + array[4, 11] = 10 + array[5, 12] = 15 + array[8, 12] = 35 + if normalize: - array = array / (array.sum(0).reshape(1, self.num_classes + 1) + 1e-8) + eps = 1e-8 + array = array / (array.sum(0).reshape(1, -1) + eps) array[array < 0.005] = np.nan fig, ax = plt.subplots(figsize=(12, 10), tight_layout=True, facecolor="white") - # sn.set(font_scale=1.0 if self.num_classes < 50 else 0.8) labels = ( class_names is not None and (0 < len(class_names) < 99) and len(class_names) == self.num_classes ) - x_tick_labels = class_names + ["FN"] if labels else "auto" - y_tick_labels = class_names + ["FP"] if labels else "auto" - # sn.heatmap( - # array, - # annot=self.num_classes < 30, - # annot_kws={"size": 8}, - # fmt=".2f", - # square=True, - # vmin=0, - # cmap="Blues", - # xticklabels=x_tick_labels, - # yticklabels=y_tick_labels, - # ).set_facecolor((1, 1, 1)) + x_tick_labels = class_names + ["FN"] if labels else None + y_tick_labels = class_names + ["FP"] if labels else None im = ax.imshow(array, cmap="Blues") - # Create colorbar + cbar_kw = {} cbarlabel = "" cbar = ax.figure.colorbar(im, ax=ax, **cbar_kw) cbar.ax.set_ylabel(cbarlabel, rotation=-90, va="bottom") cbar.mappable.set_clim(vmin=0, vmax=np.nanmax(array)) - # Disable grid lines in the axis - ax.grid(False) - # Adjust the z-order of the grid lines - ax.set_axisbelow(True) - ax.yaxis.grid(color="gray", zorder=0) - ax.xaxis.grid(color="gray", zorder=0) + if x_tick_labels is None: + tick_interval = 2 + else: + tick_interval = 1 + ax.set_xticks(np.arange(0, num_classes, tick_interval), labels=x_tick_labels) + ax.set_yticks(np.arange(0, num_classes, tick_interval), labels=y_tick_labels) - # Show all ticks and label them with the respective list entries. - ax.set_xticks(np.arange(array.shape[1]) - 0.5) - ax.set_yticks(np.arange(array.shape[0]) - 0.5) - # ax.grid(which="major", color="gray", linestyle="-", linewidth=1) - # ax.tick_params(which="minor", bottom=False, left=False) + plt.setp(ax.get_xticklabels(), rotation=90, ha="right", rotation_mode="default") - # Let the horizontal axes labeling appear on top. - # ax.tick_params(top=True, bottom=False, labeltop=True, labelbottom=False) + labelsize = 10 if self.num_classes < 50 else 8 + ax.tick_params(axis="both", which="both", labelsize=labelsize) - # Rotate the tick labels and set their alignment. - plt.setp(ax.get_xticklabels(), rotation=90, ha="right", rotation_mode="anchor") - - # Turn spines off and create white grid. - # ax.spines[:].set_visible(False) - - # ax.set_xticks(x_tick_labels, minor=True) - # ax.set_yticks(y_tick_labels, minor=True) - # ax.grid(which="minor", color="w", linestyle="-", linewidth=1) - # ax.tick_params(which="minor", bottom=False, left=False) + if (num_classes) < 30: + for i in range(array.shape[0]): + for j in range(array.shape[1]): + ax.text( + j, + i, + f"{array[i, j]:.2f}" if normalize else f"{array[i, j]:.0f}", + ha="center", + va="center", + color="white", + ) if title: ax.set_title(title, fontsize=20) @@ -288,6 +286,4 @@ class ConfusionMatrix: ax.set_xlabel("Predicted") ax.set_ylabel("True") ax.set_facecolor("white") - fig.savefig( - target_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True - ) + fig.savefig(save_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True) From e01e495c92d05c4b48ef240956d3f47cab0b0163 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 22:27:53 +0200 Subject: [PATCH 23/70] rm test setup from plot() --- supervision/metrics/detection.py | 12 +----------- 1 file changed, 1 insertion(+), 11 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index dd482643..4f660d22 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -221,17 +221,7 @@ class ConfusionMatrix: array = self.matrix.copy() - # num_classes = self.num_classes + 1 - num_classes = 21 - class_names = class_names[:20] - array = array[:20, :20] - array[0, 0] = 10 - array[1, 8] = 15 - array[2, 9] = 20 - array[3, 10] = 25 - array[4, 11] = 10 - array[5, 12] = 15 - array[8, 12] = 35 + num_classes = self.num_classes + 1 if normalize: eps = 1e-8 From ad06937653925d1c772cfc9661fe84abe5c09d38 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 22:29:22 +0200 Subject: [PATCH 24/70] set figsize as plot() arg --- supervision/metrics/detection.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 4f660d22..ef84e688 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -1,5 +1,5 @@ from dataclasses import dataclass -from typing import Callable, List, Optional +from typing import Callable, List, Optional, Tuple import matplotlib.pyplot as plt import numpy as np @@ -205,6 +205,7 @@ class ConfusionMatrix: title: Optional[str] = None, class_names: Optional[List[str]] = None, normalize: bool = True, + figsize: Tuple[int, int] = (12, 10), ) -> None: """ Create confusion matrix plot and save it at selected location. @@ -229,7 +230,7 @@ class ConfusionMatrix: array[array < 0.005] = np.nan - fig, ax = plt.subplots(figsize=(12, 10), tight_layout=True, facecolor="white") + fig, ax = plt.subplots(figsize=figsize, tight_layout=True, facecolor="white") labels = ( class_names is not None From 85c4d5a6448ff4fcb038a862327a17d9c81eb6e9 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 22:30:37 +0200 Subject: [PATCH 25/70] rm extra colorbar configs --- supervision/metrics/detection.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index ef84e688..bdd2d630 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -241,10 +241,7 @@ class ConfusionMatrix: y_tick_labels = class_names + ["FP"] if labels else None im = ax.imshow(array, cmap="Blues") - cbar_kw = {} - cbarlabel = "" - cbar = ax.figure.colorbar(im, ax=ax, **cbar_kw) - cbar.ax.set_ylabel(cbarlabel, rotation=-90, va="bottom") + cbar = ax.figure.colorbar(im, ax=ax) cbar.mappable.set_clim(vmin=0, vmax=np.nanmax(array)) if x_tick_labels is None: From 9c5c296fb623f4a7e41872ccb4b285ad805ecf4c Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 22:43:43 +0200 Subject: [PATCH 26/70] docs --- supervision/metrics/detection.py | 23 +++++++++++++++++------ 1 file changed, 17 insertions(+), 6 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index bdd2d630..b27b5db1 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -27,17 +27,15 @@ class ConfusionMatrix: iou_threshold: float = 0.5, ) -> "ConfusionMatrix": """ - Calculate confusion matrix based on ground-true and detected objects across all images in concerned dataset. + Calculate confusion matrix based on predicted and ground-truth detections. Args: - target: representing ground-truth objects across all images in concerned dataset. Each element of `target` list describe single image and has `shape = (N, 5)` where `N` is number of ground-truth objects. Each row is an sv.Detections object - predictions: representing detected objects across all images in concerned dataset. Each element of `detection_batches` list describe single image and has `shape = (M, 1)` where `M` is number of detected objects. Each row is an sv.Detections object + target: Detections objects from ground-truth. + predictions: Detections objects predicted by the model. classes: all known classes. conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. - Returns: - confusion_matrix: `ConfusionMatrix` object raw confusion matrix 2d `np.ndarray`. Example: ``` @@ -116,6 +114,15 @@ class ConfusionMatrix: conf_threshold: float, iou_threshold: float, ) -> np.ndarray: + """ + Calculate confusion matrix for a batch of detections for a single image. + + Args: + See ConfusionMatrix.from_detections + + Returns: + confusion matrix based on a single image. + """ result_matrix = np.zeros((num_classes + 1, num_classes + 1)) detection_batch_filtered = pred_detections[ pred_detections.confidence > conf_threshold @@ -159,6 +166,10 @@ class ConfusionMatrix: @staticmethod def _drop_extra_matches(matches: np.ndarray) -> np.ndarray: + """ + Deduplicate matches. If there are multiple matches for the same true or predicted box, + only the one with the highest IoU is kept. + """ if matches.shape[0] > 0: matches = matches[matches[:, 2].argsort()[::-1]] matches = matches[np.unique(matches[:, 1], return_index=True)[1]] @@ -211,7 +222,7 @@ class ConfusionMatrix: Create confusion matrix plot and save it at selected location. Args: - target_path: save location of confusion matrix plot. + save_path: save location of confusion matrix plot. title: title displayed at the top of the confusion matrix plot. Default `None`. class_names: list of class names detected my model. If non given class indexes will be used. Default `None`. normalize: chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. From d4ea295f09edd27242c7e7796068440c21f8bc41 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 6 Jul 2023 22:46:45 +0200 Subject: [PATCH 27/70] add empty test templates --- test/metrics/test_detection.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index e69de29b..81cb0531 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -0,0 +1,14 @@ +def test_from_detections(): + ... + + +def test__evaluate_detection_batch(): + ... + + +def test__drop_extra_matches(): + ... + + +def test_benchmark(): + ... From f78ac9046400b88c25f240f6aaf1ff0960914196 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Fri, 7 Jul 2023 20:53:58 +0300 Subject: [PATCH 28/70] =?UTF-8?q?feat(package):=20=F0=9F=93=A6=20opencv-py?= =?UTF-8?q?thon-headless=20set=20as=20default?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index baa838a9..d8203433 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,12 +38,12 @@ matplotlib = "^3.7.1" pyyaml = "^6.0" pillow = "^10.0.0" opencv-python = { version = "^4.8.0.74", optional = true } -opencv-python-headless = { version = "^4.8.0.74", optional = true } +opencv-python-headless = "^4.8.0.74" [tool.poetry.extras] desktop = ["opencv-python"] -headless = ["opencv-python-headless"] + [tool.poetry.group.dev.dependencies] twine = "^4.0.2" From 476be527e5e9cdf9a933678819aa18b355d9e542 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 7 Jul 2023 22:28:21 +0200 Subject: [PATCH 29/70] add test_from_detections --- test/metrics/test_detection.py | 87 +++++++++++++++++++++++++++++++--- 1 file changed, 81 insertions(+), 6 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 81cb0531..4055bd42 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -1,12 +1,87 @@ -def test_from_detections(): +from contextlib import ExitStack as DoesNotRaise +from typing import Optional + +import numpy as np +import pytest + +from supervision import Detections +from supervision.metrics.detection import ConfusionMatrix + +PREDICTIONS = np.array( + [ + [2254, 906, 2447, 1353, 0.90538, 0], + [2049, 1133, 2226, 1371, 0.59002, 56], + [727, 1224, 838, 1601, 0.51119, 39], + [808, 1214, 910, 1564, 0.45287, 39], + [6, 52, 1131, 2133, 0.45057, 72], + [299, 1225, 512, 1663, 0.45029, 39], + [529, 874, 645, 945, 0.31101, 39], + [8, 47, 1935, 2135, 0.28192, 72], + [2265, 813, 2328, 901, 0.2714, 62], + ], + dtype=np.float32, +) + +DETECTIONS = Detections( + xyxy=PREDICTIONS[:, :4], + confidence=PREDICTIONS[:, 4], + class_id=PREDICTIONS[:, 5].astype(int), +) +CERTAIN_DETECTIONS = Detections( + xyxy=PREDICTIONS[:, :4], + confidence=np.ones_like(PREDICTIONS[:, 4]), + class_id=PREDICTIONS[:, 5].astype(int), +) + +IDEAL_RESULT = np.zeros((81, 81)) +for class_id, count in zip(*np.unique(PREDICTIONS[:, 5], return_counts=True)): + class_id = int(class_id) + IDEAL_RESULT[class_id, class_id] = count + +classes = np.arange(80) + + +@pytest.mark.parametrize( + "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", + [ + ( + [CERTAIN_DETECTIONS], + [DETECTIONS], + classes, + 0.3, + 0.5, + IDEAL_RESULT, + DoesNotRaise(), + ) + ], +) +def test_from_detections( + predictions, + targets, + classes, + conf_threshold, + iou_threshold, + expected_result: Optional[np.ndarray], + exception: Exception, +): + with exception: + result = ConfusionMatrix.from_detections( + predictions=predictions, + targets=targets, + classes=classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + assert result.matrix.diagonal().sum() == result.matrix.sum() + assert np.array_equal(result.matrix, expected_result) + + +def test_evaluate_detection_batch(): ... -def test__evaluate_detection_batch(): - ... - - -def test__drop_extra_matches(): +def test_drop_extra_matches(): ... From 2b876bdd64e07298d0a514cc58d7fa6654c09ee2 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 7 Jul 2023 22:29:17 +0200 Subject: [PATCH 30/70] add from_matrix() --- supervision/metrics/detection.py | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index b27b5db1..5dd488b4 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -17,6 +17,32 @@ class ConfusionMatrix: conf_threshold: float iou_threshold: float + @classmethod + def from_matrix( + cls, + matrix, + conf_threshold: float, + iou_threshold: float, + classes: Optional[List[str]], + ) -> "ConfusionMatrix": + """ + Create ConfusionMatrix from matrix. + + Args: + matrix: confusion matrix. + classes: all known classes. + conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. + iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + """ + classes = classes if classes is not None else [str(x) for x in (range(len(matrix)))] + return cls( + matrix=matrix, + classes=classes, + num_classes=len(classes), + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + @classmethod def from_detections( cls, From d480ff5be22d2c125bbb6883fcdf62a3030055d6 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 7 Jul 2023 22:34:23 +0200 Subject: [PATCH 31/70] add test_evaluate_detection_batch --- test/metrics/test_detection.py | 41 ++++++++++++++++++++++++++++++++-- 1 file changed, 39 insertions(+), 2 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 4055bd42..00559638 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -39,6 +39,7 @@ for class_id, count in zip(*np.unique(PREDICTIONS[:, 5], return_counts=True)): IDEAL_RESULT[class_id, class_id] = count classes = np.arange(80) +num_classes = len(classes) @pytest.mark.parametrize( @@ -77,8 +78,40 @@ def test_from_detections( assert np.array_equal(result.matrix, expected_result) -def test_evaluate_detection_batch(): - ... +@pytest.mark.parametrize( + "predictions, targets, num_classes, conf_threshold, iou_threshold, expected_result, exception", + [ + ( + CERTAIN_DETECTIONS, + DETECTIONS, + num_classes, + 0.3, + 0.5, + IDEAL_RESULT, + DoesNotRaise(), + ) + ], +) +def test_evaluate_detection_batch( + predictions, + targets, + num_classes, + conf_threshold, + iou_threshold, + expected_result: Optional[np.ndarray], + exception: Exception, +): + with exception: + result = ConfusionMatrix._evaluate_detection_batch( + true_detections=targets, + pred_detections=predictions, + num_classes=num_classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + assert result.diagonal().sum() == result.sum() + assert np.array_equal(result, expected_result) def test_drop_extra_matches(): @@ -87,3 +120,7 @@ def test_drop_extra_matches(): def test_benchmark(): ... + + +def test_from_matrix(): + ... From 5107dd359fe4a52182283fe4e8b65616ab63020e Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 7 Jul 2023 22:49:47 +0200 Subject: [PATCH 32/70] add test_drop_extra_matches --- test/metrics/test_detection.py | 37 ++++++++++++++++++++++++++++------ 1 file changed, 31 insertions(+), 6 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 00559638..cf111481 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -33,10 +33,18 @@ CERTAIN_DETECTIONS = Detections( class_id=PREDICTIONS[:, 5].astype(int), ) -IDEAL_RESULT = np.zeros((81, 81)) +IDEAL_MATCHES = np.stack( + [ + np.arange(len(PREDICTIONS)), + np.arange(len(PREDICTIONS)), + np.ones(len(PREDICTIONS)), + ], + axis=1, +) +IDEAL_CONF_MATRIX = np.zeros((81, 81)) for class_id, count in zip(*np.unique(PREDICTIONS[:, 5], return_counts=True)): class_id = int(class_id) - IDEAL_RESULT[class_id, class_id] = count + IDEAL_CONF_MATRIX[class_id, class_id] = count classes = np.arange(80) num_classes = len(classes) @@ -51,7 +59,7 @@ num_classes = len(classes) classes, 0.3, 0.5, - IDEAL_RESULT, + IDEAL_CONF_MATRIX, DoesNotRaise(), ) ], @@ -87,7 +95,7 @@ def test_from_detections( num_classes, 0.3, 0.5, - IDEAL_RESULT, + IDEAL_CONF_MATRIX, DoesNotRaise(), ) ], @@ -114,8 +122,25 @@ def test_evaluate_detection_batch( assert np.array_equal(result, expected_result) -def test_drop_extra_matches(): - ... +@pytest.mark.parametrize( + "matches, expected_result, exception", + [ + ( + IDEAL_MATCHES, + IDEAL_MATCHES, + DoesNotRaise(), + ) + ], +) +def test_drop_extra_matches( + matches, + expected_result: Optional[np.ndarray], + exception: Exception, +): + with exception: + result = ConfusionMatrix._drop_extra_matches(matches) + + assert np.array_equal(result, expected_result) def test_benchmark(): From 8f39df2fc04a03d59f80d4a5524043368c58a904 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 7 Jul 2023 22:54:22 +0200 Subject: [PATCH 33/70] add test_from_matrix --- test/metrics/test_detection.py | 25 ++++++++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index cf111481..89d32c4c 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -148,4 +148,27 @@ def test_benchmark(): def test_from_matrix(): - ... + matrix = np.array( + [ + [0, 1, 0], + [1, 4, 0], + [0, 1, 3], + ] + ) + conf_threshold = 0.3 + iou_threshold = 0.5 + classes = ["a", "b", "c"] + + result = ConfusionMatrix.from_matrix( + matrix, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + classes=classes, + ) + + assert ( + np.array_equal(result.matrix, matrix) + and result.conf_threshold == conf_threshold + and result.iou_threshold == iou_threshold + and result.classes == classes + ) From 141428310a83a1a9536e14f07b542f258b018afd Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 10:05:52 +0200 Subject: [PATCH 34/70] add dummy_detection_dataset to utils --- test/utils.py | 54 +++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 52 insertions(+), 2 deletions(-) diff --git a/test/utils.py b/test/utils.py index 60ae7763..800fed85 100644 --- a/test/utils.py +++ b/test/utils.py @@ -1,8 +1,8 @@ -from typing import List +from typing import Dict, List import numpy as np -from supervision import Detections +from supervision import DetectionDataset, Detections def mock_detections( @@ -17,3 +17,53 @@ def mock_detections( class_id=class_id if class_id is None else np.array(class_id, dtype=int), tracker_id=tracker_id if tracker_id is None else np.array(tracker_id, dtype=int) ) + + +def mock_detection_dataset( + images: Dict[str, np.ndarray], + annotations: Dict[str, Detections], + classes: List[str], +) -> DetectionDataset: + return DetectionDataset(classes=classes, images=images, annotations=annotations) + + +def dummy_detection_dataset(): + img_paths = ["a.png", "b.png", "c.png"] + classes = ["a", "b", "c"] + imgs = [ + np.random.randint(0, 255, size=(28, 28, 3), dtype=np.uint8), + np.random.randint(0, 255, size=(28, 28, 3), dtype=np.uint8), + np.random.randint(0, 255, size=(28, 28, 3), dtype=np.uint8), + ] + detections = [ + mock_detections( + xyxy=[[10, 10, 20, 20], [20, 20, 25, 25]], + class_id=[0, 1], + confidence=np.ones(2), + ), + mock_detections( + xyxy=[[10, 10, 20, 20], [20, 20, 25, 25]], + class_id=[2, 1], + confidence=np.ones(2), + ), + mock_detections( + xyxy=[[10, 10, 20, 20], [20, 20, 25, 25], [10, 10, 15, 15]], + class_id=[0, 2, 2], + confidence=np.ones(3), + ), + ] + annotations = dict(zip(img_paths, detections)) + images = dict(zip(img_paths, imgs)) + dataset = mock_detection_dataset(images, annotations, classes) + return dataset + + +def dummy_detection_dataset_with_map_img_to_annotation(): + dataset = dummy_detection_dataset() + # dataset.img2ann = { + # tuple(img): dataset.annotations[img_key] for img_key, img in dataset.images.items() + # } + dataset.map_img_to_annotation = lambda img: dataset.annotations[ + [k for k, v in dataset.images.items() if np.array_equal(v, img)][0] + ] + return dataset From b7f72b79de4b583b86a853ba96e0d2b441be9fa5 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 10:06:14 +0200 Subject: [PATCH 35/70] add test_benchmark --- test/metrics/test_detection.py | 39 ++++++++++++++++++++++++++++------ 1 file changed, 33 insertions(+), 6 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 89d32c4c..e30692a7 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -1,4 +1,5 @@ from contextlib import ExitStack as DoesNotRaise +from test.utils import dummy_detection_dataset_with_map_img_to_annotation from typing import Optional import numpy as np @@ -41,13 +42,14 @@ IDEAL_MATCHES = np.stack( ], axis=1, ) + IDEAL_CONF_MATRIX = np.zeros((81, 81)) for class_id, count in zip(*np.unique(PREDICTIONS[:, 5], return_counts=True)): class_id = int(class_id) IDEAL_CONF_MATRIX[class_id, class_id] = count -classes = np.arange(80) -num_classes = len(classes) +CLASSES = np.arange(80) +NUM_CLASSES = len(CLASSES) @pytest.mark.parametrize( @@ -56,7 +58,7 @@ num_classes = len(classes) ( [CERTAIN_DETECTIONS], [DETECTIONS], - classes, + CLASSES, 0.3, 0.5, IDEAL_CONF_MATRIX, @@ -92,7 +94,7 @@ def test_from_detections( ( CERTAIN_DETECTIONS, DETECTIONS, - num_classes, + NUM_CLASSES, 0.3, 0.5, IDEAL_CONF_MATRIX, @@ -143,8 +145,33 @@ def test_drop_extra_matches( assert np.array_equal(result, expected_result) -def test_benchmark(): - ... +@pytest.mark.parametrize( + "dataset, conf_threshold, iou_threshold, expected_result, exception", + [ + ( + dummy_detection_dataset_with_map_img_to_annotation(), + 0.3, + 0.5, + IDEAL_CONF_MATRIX, + DoesNotRaise(), + ) + ], +) +def test_benchmark(dataset, conf_threshold, iou_threshold, expected_result, exception): + with exception: + + def callback(img): + return dataset.map_img_to_annotation(img) + + result = ConfusionMatrix.benchmark( + dataset=dataset, + callback=callback, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + assert result.matrix.diagonal().sum() == result.matrix.sum() + assert np.array_equal(result, expected_result) def test_from_matrix(): From 36b48def89444fe8e3cfad4dafb8590341f5193a Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 11:40:07 +0200 Subject: [PATCH 36/70] rename vars, refactor ternary --- supervision/metrics/detection.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 5dd488b4..f9bf09b0 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -269,13 +269,15 @@ class ConfusionMatrix: fig, ax = plt.subplots(figsize=figsize, tight_layout=True, facecolor="white") - labels = ( - class_names is not None - and (0 < len(class_names) < 99) - and len(class_names) == self.num_classes - ) - x_tick_labels = class_names + ["FN"] if labels else None - y_tick_labels = class_names + ["FP"] if labels else None + use_labels_for_ticks = class_names is not None and (0 < len(class_names) < 99) + if use_labels_for_ticks: + x_tick_labels = class_names + ["FN"] + y_tick_labels = class_names + ["FP"] + num_ticks = len(x_tick_labels) + else: + x_tick_labels = None + y_tick_labels = None + num_ticks = len(array) im = ax.imshow(array, cmap="Blues") cbar = ax.figure.colorbar(im, ax=ax) From 1b013f85e50aaa05c24c424f4cf880edd4c71b3d Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 11:40:35 +0200 Subject: [PATCH 37/70] remove num_classes attr of ConfusionMatrix --- supervision/metrics/detection.py | 20 +++++++------------- 1 file changed, 7 insertions(+), 13 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index f9bf09b0..a7bd21db 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -13,7 +13,6 @@ from supervision.detection.utils import box_iou_batch class ConfusionMatrix: matrix: np.ndarray classes: List[str] - num_classes: int conf_threshold: float iou_threshold: float @@ -34,11 +33,12 @@ class ConfusionMatrix: conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. """ - classes = classes if classes is not None else [str(x) for x in (range(len(matrix)))] + classes = ( + classes if classes is not None else [str(x) for x in (range(len(matrix)))] + ) return cls( matrix=matrix, classes=classes, - num_classes=len(classes), conf_threshold=conf_threshold, iou_threshold=iou_threshold, ) @@ -126,7 +126,6 @@ class ConfusionMatrix: ) return cls( matrix=matrix, - num_classes=num_classes, classes=classes, conf_threshold=conf_threshold, iou_threshold=iou_threshold, @@ -219,9 +218,6 @@ class ConfusionMatrix: callback: a function that takes an image as input and returns detections. conf_threshold: see ConfusionMatrix.from_detections. iou_threshold: see ConfusionMatrix.from_detections. - - Returns: - ConfusionMatrix object. """ predictions = [] targets = [] @@ -259,8 +255,6 @@ class ConfusionMatrix: array = self.matrix.copy() - num_classes = self.num_classes + 1 - if normalize: eps = 1e-8 array = array / (array.sum(0).reshape(1, -1) + eps) @@ -287,15 +281,15 @@ class ConfusionMatrix: tick_interval = 2 else: tick_interval = 1 - ax.set_xticks(np.arange(0, num_classes, tick_interval), labels=x_tick_labels) - ax.set_yticks(np.arange(0, num_classes, tick_interval), labels=y_tick_labels) + ax.set_xticks(np.arange(0, num_ticks, tick_interval), labels=x_tick_labels) + ax.set_yticks(np.arange(0, num_ticks, tick_interval), labels=y_tick_labels) plt.setp(ax.get_xticklabels(), rotation=90, ha="right", rotation_mode="default") - labelsize = 10 if self.num_classes < 50 else 8 + labelsize = 10 if num_ticks < 50 else 8 ax.tick_params(axis="both", which="both", labelsize=labelsize) - if (num_classes) < 30: + if num_ticks < 30: for i in range(array.shape[0]): for j in range(array.shape[1]): ax.text( From 21a480b483c7457f63b87249e57dc466aa754928 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 11:54:25 +0200 Subject: [PATCH 38/70] refactor, remove duplicated --- test/metrics/test_detection.py | 38 ++++++++++++++++++++++++++-------- 1 file changed, 29 insertions(+), 9 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index e30692a7..85cc47e8 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -8,6 +8,9 @@ import pytest from supervision import Detections from supervision.metrics.detection import ConfusionMatrix +CLASSES = np.arange(80) +NUM_CLASSES = len(CLASSES) + PREDICTIONS = np.array( [ [2254, 906, 2447, 1353, 0.90538, 0], @@ -43,13 +46,30 @@ IDEAL_MATCHES = np.stack( axis=1, ) -IDEAL_CONF_MATRIX = np.zeros((81, 81)) -for class_id, count in zip(*np.unique(PREDICTIONS[:, 5], return_counts=True)): - class_id = int(class_id) - IDEAL_CONF_MATRIX[class_id, class_id] = count -CLASSES = np.arange(80) -NUM_CLASSES = len(CLASSES) +def create_empty_conf_matrix(num_classes: int, do_add_dummy_class: bool = True): + if do_add_dummy_class: + num_classes += 1 + return np.zeros((num_classes, num_classes)) + + +def update_ideal_conf_matrix(conf_matrix: np.ndarray, class_ids: np.ndarray): + for class_id, count in zip(*np.unique(class_ids, return_counts=True)): + class_id = int(class_id) + conf_matrix[class_id, class_id] += count + return conf_matrix + + +IDEAL_CONF_MATRIX = create_empty_conf_matrix(NUM_CLASSES) +IDEAL_CONF_MATRIX = update_ideal_conf_matrix(IDEAL_CONF_MATRIX, PREDICTIONS[:, 5]) + + +DUMMY_DET_DATASET = dummy_detection_dataset_with_map_img_to_annotation() +DUMMY_DET_IDEAL_CONF_MATRIX = create_empty_conf_matrix(len(DUMMY_DET_DATASET.classes)) +for det in DUMMY_DET_DATASET.annotations.values(): + DUMMY_DET_IDEAL_CONF_MATRIX = update_ideal_conf_matrix( + DUMMY_DET_IDEAL_CONF_MATRIX, det.class_id + ) @pytest.mark.parametrize( @@ -149,10 +169,10 @@ def test_drop_extra_matches( "dataset, conf_threshold, iou_threshold, expected_result, exception", [ ( - dummy_detection_dataset_with_map_img_to_annotation(), + DUMMY_DET_DATASET, 0.3, 0.5, - IDEAL_CONF_MATRIX, + DUMMY_DET_IDEAL_CONF_MATRIX, DoesNotRaise(), ) ], @@ -171,7 +191,7 @@ def test_benchmark(dataset, conf_threshold, iou_threshold, expected_result, exce ) assert result.matrix.diagonal().sum() == result.matrix.sum() - assert np.array_equal(result, expected_result) + assert np.array_equal(result.matrix, expected_result) def test_from_matrix(): From fdd8127293d3a068dc298c04b0a2b21e3eb29238 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 11:58:51 +0200 Subject: [PATCH 39/70] add source --- supervision/metrics/detection.py | 1 + 1 file changed, 1 insertion(+) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index a7bd21db..b58679a3 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -111,6 +111,7 @@ class ConfusionMatrix: ... [1., 1., 0., 0.] ... ]) ``` + Source: https://github.com/SkalskiP/onemetric/blob/master/onemetric/cv/object_detection/confusion_matrix.py """ # TODO: add validation for inputs From 40853350fd65a30854f6b436314c0a6f43d2bb97 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 12:11:24 +0200 Subject: [PATCH 40/70] make plot() return figure --- supervision/metrics/detection.py | 26 +++++++++++++++----------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index b58679a3..218f3d5f 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -1,9 +1,9 @@ from dataclasses import dataclass from typing import Callable, List, Optional, Tuple +import matplotlib import matplotlib.pyplot as plt import numpy as np -from matplotlib import rcParams import supervision as sv from supervision.detection.utils import box_iou_batch @@ -235,28 +235,29 @@ class ConfusionMatrix: def plot( self, - save_path: str, + save_path: Optional[str] = None, title: Optional[str] = None, class_names: Optional[List[str]] = None, - normalize: bool = True, + do_normalize: bool = True, figsize: Tuple[int, int] = (12, 10), - ) -> None: + ) -> matplotlib.figure.Figure: """ Create confusion matrix plot and save it at selected location. Args: save_path: save location of confusion matrix plot. title: title displayed at the top of the confusion matrix plot. Default `None`. - class_names: list of class names detected my model. If non given class indexes will be used. Default `None`. - normalize: chart will display absolute number of detections falling into given category. Otherwise percentage of detections will be displayed. + class_names: custom classes to be displayed on the plot. If not provided, original classes will be used. + do_normalize: chart will display fraction of detections in a given class instead of absolute numbers. + figsize: size of the plot. """ - rcParams["font.family"] = "sans-serif" - rcParams["font.sans-serif"] = ["Verdana"] + matplotlib.rcParams["font.family"] = "sans-serif" + matplotlib.rcParams["font.sans-serif"] = ["Verdana"] array = self.matrix.copy() - if normalize: + if do_normalize: eps = 1e-8 array = array / (array.sum(0).reshape(1, -1) + eps) @@ -264,6 +265,7 @@ class ConfusionMatrix: fig, ax = plt.subplots(figsize=figsize, tight_layout=True, facecolor="white") + class_names = class_names if class_names is not None else self.classes use_labels_for_ticks = class_names is not None and (0 < len(class_names) < 99) if use_labels_for_ticks: x_tick_labels = class_names + ["FN"] @@ -296,7 +298,7 @@ class ConfusionMatrix: ax.text( j, i, - f"{array[i, j]:.2f}" if normalize else f"{array[i, j]:.0f}", + f"{array[i, j]:.2f}" if do_normalize else f"{array[i, j]:.0f}", ha="center", va="center", color="white", @@ -308,4 +310,6 @@ class ConfusionMatrix: ax.set_xlabel("Predicted") ax.set_ylabel("True") ax.set_facecolor("white") - fig.savefig(save_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True) + if save_path: + fig.savefig(save_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True) + return fig From fd717ea749965792061eee0c5bbb323555035f22 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 12:29:16 +0200 Subject: [PATCH 41/70] extend docs --- docs/metrics/detection.md | 3 +++ supervision/metrics/detection.py | 9 +++++++++ 2 files changed, 12 insertions(+) create mode 100644 docs/metrics/detection.md diff --git a/docs/metrics/detection.md b/docs/metrics/detection.md new file mode 100644 index 00000000..d0fa4615 --- /dev/null +++ b/docs/metrics/detection.md @@ -0,0 +1,3 @@ +## ConfusionMatrix + +:::supervision.metrics.detection.ConfusionMatrix diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 218f3d5f..ce75ff1d 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -11,6 +11,15 @@ from supervision.detection.utils import box_iou_batch @dataclass class ConfusionMatrix: + """ + Data class containing information about classification results in form of a confusion matrix. + Attributes: + matrix: An array of shape (len(classes) + 1, len(classes) + 1) containing the number of TP, FP, FN and TN for each class. + classes: all known class names. + conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded from the matrix. + iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + """ + matrix: np.ndarray classes: List[str] conf_threshold: float From 2c0905ba28f2c8f390fcad0c65dd48456ed3e387 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Sat, 8 Jul 2023 12:29:50 +0200 Subject: [PATCH 42/70] reformat --- supervision/metrics/detection.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index ce75ff1d..95f2c62f 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -320,5 +320,7 @@ class ConfusionMatrix: ax.set_ylabel("True") ax.set_facecolor("white") if save_path: - fig.savefig(save_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True) + fig.savefig( + save_path, dpi=250, facecolor=fig.get_facecolor(), transparent=True + ) return fig From bfe058c30709e35793fe2c6a76aac0f10d85f9df Mon Sep 17 00:00:00 2001 From: hardik Date: Thu, 13 Jul 2023 20:19:55 +0200 Subject: [PATCH 43/70] Fixing empty dataset --- supervision/dataset/utils.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/supervision/dataset/utils.py b/supervision/dataset/utils.py index c72ced6f..b6712e92 100644 --- a/supervision/dataset/utils.py +++ b/supervision/dataset/utils.py @@ -83,9 +83,11 @@ def map_detections_class_id( ) detections_copy = copy.deepcopy(detections) - detections_copy.class_id = np.vectorize(source_to_target_mapping.get)( - detections_copy.class_id - ) + + if len(detections) > 0: + detections_copy.class_id = np.vectorize(source_to_target_mapping.get)( + detections_copy.class_id + ) return detections_copy From 3a8c4d63eaf1529b76cc102428cb9d1895cd3c3f Mon Sep 17 00:00:00 2001 From: SkalskiP Date: Fri, 14 Jul 2023 15:06:55 +0200 Subject: [PATCH 44/70] =?UTF-8?q?=F0=9F=A7=AA=20tests=20added?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- test/dataset/test_utils.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/test/dataset/test_utils.py b/test/dataset/test_utils.py index 589a8f38..70105d16 100644 --- a/test/dataset/test_utils.py +++ b/test/dataset/test_utils.py @@ -204,6 +204,12 @@ def test_build_class_index_mapping( mock_detections(xyxy=[[0, 0, 10, 10]], class_id=[1]), DoesNotRaise() ), # single mapping + ( + {0: 1, 1: 2}, + Detections.empty(), + Detections.empty(), + DoesNotRaise() + ), # empty detections ( {0: 1, 1: 2}, mock_detections(xyxy=[[0, 0, 10, 10]], class_id=[0]), From 399121b65e08cc04ddfcfb65d23af4097af402b2 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Tue, 18 Jul 2023 16:24:17 +0300 Subject: [PATCH 45/70] =?UTF-8?q?fix:=20=F0=9F=90=9B=20lower=20pillow=20ve?= =?UTF-8?q?rsion=20for=20google-colab=20environment?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- poetry.lock | 867 +++++++++++++++++++++++++++---------------------- pyproject.toml | 2 +- 2 files changed, 478 insertions(+), 391 deletions(-) diff --git a/poetry.lock b/poetry.lock index d4ff5abd..c47ce89c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "anyio" -version = "3.7.0" +version = "3.7.1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.7" files = [ - {file = "anyio-3.7.0-py3-none-any.whl", hash = "sha256:eddca883c4175f14df8aedce21054bfca3adb70ffe76a9f607aef9d7fa2ea7f0"}, - {file = "anyio-3.7.0.tar.gz", hash = "sha256:275d9973793619a5374e1c89a4f4ad3f4b0a5510a2b5b939444bee8f4c4d37ce"}, + {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"}, + {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"}, ] [package.dependencies] @@ -17,7 +17,7 @@ idna = ">=2.8" sniffio = ">=1.1" [package.extras] -doc = ["Sphinx (>=6.1.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme", "sphinxcontrib-jquery"] +doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"] test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] trio = ["trio (<0.22)"] @@ -296,97 +296,97 @@ pycparser = "*" [[package]] name = "charset-normalizer" -version = "3.1.0" +version = "3.2.0" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7.0" files = [ - {file = "charset-normalizer-3.1.0.tar.gz", hash = "sha256:34e0a2f9c370eb95597aae63bf85eb5e96826d81e3dcf88b8886012906f509b5"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e0ac8959c929593fee38da1c2b64ee9778733cdf03c482c9ff1d508b6b593b2b"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d7fc3fca01da18fbabe4625d64bb612b533533ed10045a2ac3dd194bfa656b60"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:04eefcee095f58eaabe6dc3cc2262f3bcd776d2c67005880894f447b3f2cb9c1"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20064ead0717cf9a73a6d1e779b23d149b53daf971169289ed2ed43a71e8d3b0"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1435ae15108b1cb6fffbcea2af3d468683b7afed0169ad718451f8db5d1aff6f"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c84132a54c750fda57729d1e2599bb598f5fa0344085dbde5003ba429a4798c0"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75f2568b4189dda1c567339b48cba4ac7384accb9c2a7ed655cd86b04055c795"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11d3bcb7be35e7b1bba2c23beedac81ee893ac9871d0ba79effc7fc01167db6c"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:891cf9b48776b5c61c700b55a598621fdb7b1e301a550365571e9624f270c203"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5f008525e02908b20e04707a4f704cd286d94718f48bb33edddc7d7b584dddc1"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:b06f0d3bf045158d2fb8837c5785fe9ff9b8c93358be64461a1089f5da983137"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:49919f8400b5e49e961f320c735388ee686a62327e773fa5b3ce6721f7e785ce"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:22908891a380d50738e1f978667536f6c6b526a2064156203d418f4856d6e86a"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-win32.whl", hash = "sha256:12d1a39aa6b8c6f6248bb54550efcc1c38ce0d8096a146638fd4738e42284448"}, - {file = "charset_normalizer-3.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:65ed923f84a6844de5fd29726b888e58c62820e0769b76565480e1fdc3d062f8"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9a3267620866c9d17b959a84dd0bd2d45719b817245e49371ead79ed4f710d19"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6734e606355834f13445b6adc38b53c0fd45f1a56a9ba06c2058f86893ae8017"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8303414c7b03f794347ad062c0516cee0e15f7a612abd0ce1e25caf6ceb47df"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf53a6cebad0eae578f062c7d462155eada9c172bd8c4d250b8c1d8eb7f916a"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dc5b6a8ecfdc5748a7e429782598e4f17ef378e3e272eeb1340ea57c9109f41"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e1b25e3ad6c909f398df8921780d6a3d120d8c09466720226fc621605b6f92b1"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ca564606d2caafb0abe6d1b5311c2649e8071eb241b2d64e75a0d0065107e62"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b82fab78e0b1329e183a65260581de4375f619167478dddab510c6c6fb04d9b6"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:bd7163182133c0c7701b25e604cf1611c0d87712e56e88e7ee5d72deab3e76b5"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:11d117e6c63e8f495412d37e7dc2e2fff09c34b2d09dbe2bee3c6229577818be"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:cf6511efa4801b9b38dc5546d7547d5b5c6ef4b081c60b23e4d941d0eba9cbeb"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:abc1185d79f47c0a7aaf7e2412a0eb2c03b724581139193d2d82b3ad8cbb00ac"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:cb7b2ab0188829593b9de646545175547a70d9a6e2b63bf2cd87a0a391599324"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-win32.whl", hash = "sha256:c36bcbc0d5174a80d6cccf43a0ecaca44e81d25be4b7f90f0ed7bcfbb5a00909"}, - {file = "charset_normalizer-3.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:cca4def576f47a09a943666b8f829606bcb17e2bc2d5911a46c8f8da45f56755"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0c95f12b74681e9ae127728f7e5409cbbef9cd914d5896ef238cc779b8152373"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fca62a8301b605b954ad2e9c3666f9d97f63872aa4efcae5492baca2056b74ab"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac0aa6cd53ab9a31d397f8303f92c42f534693528fafbdb997c82bae6e477ad9"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c3af8e0f07399d3176b179f2e2634c3ce9c1301379a6b8c9c9aeecd481da494f"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a5fc78f9e3f501a1614a98f7c54d3969f3ad9bba8ba3d9b438c3bc5d047dd28"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:628c985afb2c7d27a4800bfb609e03985aaecb42f955049957814e0491d4006d"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:74db0052d985cf37fa111828d0dd230776ac99c740e1a758ad99094be4f1803d"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:1e8fcdd8f672a1c4fc8d0bd3a2b576b152d2a349782d1eb0f6b8e52e9954731d"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:04afa6387e2b282cf78ff3dbce20f0cc071c12dc8f685bd40960cc68644cfea6"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:dd5653e67b149503c68c4018bf07e42eeed6b4e956b24c00ccdf93ac79cdff84"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d2686f91611f9e17f4548dbf050e75b079bbc2a82be565832bc8ea9047b61c8c"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-win32.whl", hash = "sha256:4155b51ae05ed47199dc5b2a4e62abccb274cee6b01da5b895099b61b1982974"}, - {file = "charset_normalizer-3.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:322102cdf1ab682ecc7d9b1c5eed4ec59657a65e1c146a0da342b78f4112db23"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e633940f28c1e913615fd624fcdd72fdba807bf53ea6925d6a588e84e1151531"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3a06f32c9634a8705f4ca9946d667609f52cf130d5548881401f1eb2c39b1e2c"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7381c66e0561c5757ffe616af869b916c8b4e42b367ab29fedc98481d1e74e14"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3573d376454d956553c356df45bb824262c397c6e26ce43e8203c4c540ee0acb"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e89df2958e5159b811af9ff0f92614dabf4ff617c03a4c1c6ff53bf1c399e0e1"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:78cacd03e79d009d95635e7d6ff12c21eb89b894c354bd2b2ed0b4763373693b"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de5695a6f1d8340b12a5d6d4484290ee74d61e467c39ff03b39e30df62cf83a0"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c60b9c202d00052183c9be85e5eaf18a4ada0a47d188a83c8f5c5b23252f649"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f645caaf0008bacf349875a974220f1f1da349c5dbe7c4ec93048cdc785a3326"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ea9f9c6034ea2d93d9147818f17c2a0860d41b71c38b9ce4d55f21b6f9165a11"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:80d1543d58bd3d6c271b66abf454d437a438dff01c3e62fdbcd68f2a11310d4b"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:73dc03a6a7e30b7edc5b01b601e53e7fc924b04e1835e8e407c12c037e81adbd"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6f5c2e7bc8a4bf7c426599765b1bd33217ec84023033672c1e9a8b35eaeaaaf8"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-win32.whl", hash = "sha256:12a2b561af122e3d94cdb97fe6fb2bb2b82cef0cdca131646fdb940a1eda04f0"}, - {file = "charset_normalizer-3.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3160a0fd9754aab7d47f95a6b63ab355388d890163eb03b2d2b87ab0a30cfa59"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:38e812a197bf8e71a59fe55b757a84c1f946d0ac114acafaafaf21667a7e169e"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6baf0baf0d5d265fa7944feb9f7451cc316bfe30e8df1a61b1bb08577c554f31"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8f25e17ab3039b05f762b0a55ae0b3632b2e073d9c8fc88e89aca31a6198e88f"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3747443b6a904001473370d7810aa19c3a180ccd52a7157aacc264a5ac79265e"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b116502087ce8a6b7a5f1814568ccbd0e9f6cfd99948aa59b0e241dc57cf739f"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d16fd5252f883eb074ca55cb622bc0bee49b979ae4e8639fff6ca3ff44f9f854"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fa558996782fc226b529fdd2ed7866c2c6ec91cee82735c98a197fae39f706"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6f6c7a8a57e9405cad7485f4c9d3172ae486cfef1344b5ddd8e5239582d7355e"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ac3775e3311661d4adace3697a52ac0bab17edd166087d493b52d4f4f553f9f0"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:10c93628d7497c81686e8e5e557aafa78f230cd9e77dd0c40032ef90c18f2230"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:6f4f4668e1831850ebcc2fd0b1cd11721947b6dc7c00bf1c6bd3c929ae14f2c7"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:0be65ccf618c1e7ac9b849c315cc2e8a8751d9cfdaa43027d4f6624bd587ab7e"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:53d0a3fa5f8af98a1e261de6a3943ca631c526635eb5817a87a59d9a57ebf48f"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-win32.whl", hash = "sha256:a04f86f41a8916fe45ac5024ec477f41f886b3c435da2d4e3d2709b22ab02af1"}, - {file = "charset_normalizer-3.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:830d2948a5ec37c386d3170c483063798d7879037492540f10a475e3fd6f244b"}, - {file = "charset_normalizer-3.1.0-py3-none-any.whl", hash = "sha256:3d9098b479e78c85080c98e1e35ff40b4a31d8953102bb0fd7d1b6f8a2111a3d"}, + {file = "charset-normalizer-3.2.0.tar.gz", hash = "sha256:3bb3d25a8e6c0aedd251753a79ae98a093c7e7b471faa3aa9a93a81431987ace"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b87549028f680ca955556e3bd57013ab47474c3124dc069faa0b6545b6c9710"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7c70087bfee18a42b4040bb9ec1ca15a08242cf5867c58726530bdf3945672ed"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a103b3a7069b62f5d4890ae1b8f0597618f628b286b03d4bc9195230b154bfa9"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94aea8eff76ee6d1cdacb07dd2123a68283cb5569e0250feab1240058f53b623"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:db901e2ac34c931d73054d9797383d0f8009991e723dab15109740a63e7f902a"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b0dac0ff919ba34d4df1b6131f59ce95b08b9065233446be7e459f95554c0dc8"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:193cbc708ea3aca45e7221ae58f0fd63f933753a9bfb498a3b474878f12caaad"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09393e1b2a9461950b1c9a45d5fd251dc7c6f228acab64da1c9c0165d9c7765c"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:baacc6aee0b2ef6f3d308e197b5d7a81c0e70b06beae1f1fcacffdbd124fe0e3"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bf420121d4c8dce6b889f0e8e4ec0ca34b7f40186203f06a946fa0276ba54029"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:c04a46716adde8d927adb9457bbe39cf473e1e2c2f5d0a16ceb837e5d841ad4f"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:aaf63899c94de41fe3cf934601b0f7ccb6b428c6e4eeb80da72c58eab077b19a"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d62e51710986674142526ab9f78663ca2b0726066ae26b78b22e0f5e571238dd"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-win32.whl", hash = "sha256:04e57ab9fbf9607b77f7d057974694b4f6b142da9ed4a199859d9d4d5c63fe96"}, + {file = "charset_normalizer-3.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:48021783bdf96e3d6de03a6e39a1171ed5bd7e8bb93fc84cc649d11490f87cea"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:4957669ef390f0e6719db3613ab3a7631e68424604a7b448f079bee145da6e09"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:46fb8c61d794b78ec7134a715a3e564aafc8f6b5e338417cb19fe9f57a5a9bf2"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f779d3ad205f108d14e99bb3859aa7dd8e9c68874617c72354d7ecaec2a054ac"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f25c229a6ba38a35ae6e25ca1264621cc25d4d38dca2942a7fce0b67a4efe918"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2efb1bd13885392adfda4614c33d3b68dee4921fd0ac1d3988f8cbb7d589e72a"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f30b48dd7fa1474554b0b0f3fdfdd4c13b5c737a3c6284d3cdc424ec0ffff3a"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:246de67b99b6851627d945db38147d1b209a899311b1305dd84916f2b88526c6"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9bd9b3b31adcb054116447ea22caa61a285d92e94d710aa5ec97992ff5eb7cf3"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:8c2f5e83493748286002f9369f3e6607c565a6a90425a3a1fef5ae32a36d749d"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:3170c9399da12c9dc66366e9d14da8bf7147e1e9d9ea566067bbce7bb74bd9c2"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:7a4826ad2bd6b07ca615c74ab91f32f6c96d08f6fcc3902ceeedaec8cdc3bcd6"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:3b1613dd5aee995ec6d4c69f00378bbd07614702a315a2cf6c1d21461fe17c23"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9e608aafdb55eb9f255034709e20d5a83b6d60c054df0802fa9c9883d0a937aa"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-win32.whl", hash = "sha256:f2a1d0fd4242bd8643ce6f98927cf9c04540af6efa92323e9d3124f57727bfc1"}, + {file = "charset_normalizer-3.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:681eb3d7e02e3c3655d1b16059fbfb605ac464c834a0c629048a30fad2b27489"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c57921cda3a80d0f2b8aec7e25c8aa14479ea92b5b51b6876d975d925a2ea346"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41b25eaa7d15909cf3ac4c96088c1f266a9a93ec44f87f1d13d4a0e86c81b982"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f058f6963fd82eb143c692cecdc89e075fa0828db2e5b291070485390b2f1c9c"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a7647ebdfb9682b7bb97e2a5e7cb6ae735b1c25008a70b906aecca294ee96cf4"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eef9df1eefada2c09a5e7a40991b9fc6ac6ef20b1372abd48d2794a316dc0449"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e03b8895a6990c9ab2cdcd0f2fe44088ca1c65ae592b8f795c3294af00a461c3"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:ee4006268ed33370957f55bf2e6f4d263eaf4dc3cfc473d1d90baff6ed36ce4a"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c4983bf937209c57240cff65906b18bb35e64ae872da6a0db937d7b4af845dd7"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:3bb7fda7260735efe66d5107fb7e6af6a7c04c7fce9b2514e04b7a74b06bf5dd"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:72814c01533f51d68702802d74f77ea026b5ec52793c791e2da806a3844a46c3"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:70c610f6cbe4b9fce272c407dd9d07e33e6bf7b4aa1b7ffb6f6ded8e634e3592"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-win32.whl", hash = "sha256:a401b4598e5d3f4a9a811f3daf42ee2291790c7f9d74b18d75d6e21dda98a1a1"}, + {file = "charset_normalizer-3.2.0-cp37-cp37m-win_amd64.whl", hash = "sha256:c0b21078a4b56965e2b12f247467b234734491897e99c1d51cee628da9786959"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:95eb302ff792e12aba9a8b8f8474ab229a83c103d74a750ec0bd1c1eea32e669"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1a100c6d595a7f316f1b6f01d20815d916e75ff98c27a01ae817439ea7726329"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6339d047dab2780cc6220f46306628e04d9750f02f983ddb37439ca47ced7149"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4b749b9cc6ee664a3300bb3a273c1ca8068c46be705b6c31cf5d276f8628a94"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a38856a971c602f98472050165cea2cdc97709240373041b69030be15047691f"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f87f746ee241d30d6ed93969de31e5ffd09a2961a051e60ae6bddde9ec3583aa"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89f1b185a01fe560bc8ae5f619e924407efca2191b56ce749ec84982fc59a32a"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e1c8a2f4c69e08e89632defbfabec2feb8a8d99edc9f89ce33c4b9e36ab63037"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2f4ac36d8e2b4cc1aa71df3dd84ff8efbe3bfb97ac41242fbcfc053c67434f46"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a386ebe437176aab38c041de1260cd3ea459c6ce5263594399880bbc398225b2"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:ccd16eb18a849fd8dcb23e23380e2f0a354e8daa0c984b8a732d9cfaba3a776d"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:e6a5bf2cba5ae1bb80b154ed68a3cfa2fa00fde979a7f50d6598d3e17d9ac20c"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:45de3f87179c1823e6d9e32156fb14c1927fcc9aba21433f088fdfb555b77c10"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-win32.whl", hash = "sha256:1000fba1057b92a65daec275aec30586c3de2401ccdcd41f8a5c1e2c87078706"}, + {file = "charset_normalizer-3.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:8b2c760cfc7042b27ebdb4a43a4453bd829a5742503599144d54a032c5dc7e9e"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:855eafa5d5a2034b4621c74925d89c5efef61418570e5ef9b37717d9c796419c"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:203f0c8871d5a7987be20c72442488a0b8cfd0f43b7973771640fc593f56321f"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e857a2232ba53ae940d3456f7533ce6ca98b81917d47adc3c7fd55dad8fab858"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5e86d77b090dbddbe78867a0275cb4df08ea195e660f1f7f13435a4649e954e5"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fb39a81950ec280984b3a44f5bd12819953dc5fa3a7e6fa7a80db5ee853952"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2dee8e57f052ef5353cf608e0b4c871aee320dd1b87d351c28764fc0ca55f9f4"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8700f06d0ce6f128de3ccdbc1acaea1ee264d2caa9ca05daaf492fde7c2a7200"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1920d4ff15ce893210c1f0c0e9d19bfbecb7983c76b33f046c13a8ffbd570252"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:c1c76a1743432b4b60ab3358c937a3fe1341c828ae6194108a94c69028247f22"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f7560358a6811e52e9c4d142d497f1a6e10103d3a6881f18d04dbce3729c0e2c"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:c8063cf17b19661471ecbdb3df1c84f24ad2e389e326ccaf89e3fb2484d8dd7e"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:cd6dbe0238f7743d0efe563ab46294f54f9bc8f4b9bcf57c3c666cc5bc9d1299"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:1249cbbf3d3b04902ff081ffbb33ce3377fa6e4c7356f759f3cd076cc138d020"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-win32.whl", hash = "sha256:6c409c0deba34f147f77efaa67b8e4bb83d2f11c8806405f76397ae5b8c0d1c9"}, + {file = "charset_normalizer-3.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:7095f6fbfaa55defb6b733cfeb14efaae7a29f0b59d8cf213be4e7ca0b857b80"}, + {file = "charset_normalizer-3.2.0-py3-none-any.whl", hash = "sha256:8e098148dd37b4ce3baca71fb394c81dc5d9c7728c95df695d2dca218edf40e6"}, ] [[package]] name = "click" -version = "8.1.3" +version = "8.1.5" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.7" files = [ - {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"}, - {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"}, + {file = "click-8.1.5-py3-none-any.whl", hash = "sha256:e576aa487d679441d7d30abb87e1b43d24fc53bffb8758443b1a9e1cee504548"}, + {file = "click-8.1.5.tar.gz", hash = "sha256:4be4b1af8d665c6d942909916d31a213a106800c47d0eeba73d34da3cbc11367"}, ] [package.dependencies] @@ -482,30 +482,34 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"] [[package]] name = "cryptography" -version = "41.0.1" +version = "41.0.2" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = ">=3.7" files = [ - {file = "cryptography-41.0.1-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:f73bff05db2a3e5974a6fd248af2566134d8981fd7ab012e5dd4ddb1d9a70699"}, - {file = "cryptography-41.0.1-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:1a5472d40c8f8e91ff7a3d8ac6dfa363d8e3138b961529c996f3e2df0c7a411a"}, - {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fa01527046ca5facdf973eef2535a27fec4cb651e4daec4d043ef63f6ecd4ca"}, - {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b46e37db3cc267b4dea1f56da7346c9727e1209aa98487179ee8ebed09d21e43"}, - {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d198820aba55660b4d74f7b5fd1f17db3aa5eb3e6893b0a41b75e84e4f9e0e4b"}, - {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:948224d76c4b6457349d47c0c98657557f429b4e93057cf5a2f71d603e2fc3a3"}, - {file = "cryptography-41.0.1-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:059e348f9a3c1950937e1b5d7ba1f8e968508ab181e75fc32b879452f08356db"}, - {file = "cryptography-41.0.1-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:b4ceb5324b998ce2003bc17d519080b4ec8d5b7b70794cbd2836101406a9be31"}, - {file = "cryptography-41.0.1-cp37-abi3-win32.whl", hash = "sha256:8f4ab7021127a9b4323537300a2acfb450124b2def3756f64dc3a3d2160ee4b5"}, - {file = "cryptography-41.0.1-cp37-abi3-win_amd64.whl", hash = "sha256:1fee5aacc7367487b4e22484d3c7e547992ed726d14864ee33c0176ae43b0d7c"}, - {file = "cryptography-41.0.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9a6c7a3c87d595608a39980ebaa04d5a37f94024c9f24eb7d10262b92f739ddb"}, - {file = "cryptography-41.0.1-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5d092fdfedaec4cbbffbf98cddc915ba145313a6fdaab83c6e67f4e6c218e6f3"}, - {file = "cryptography-41.0.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1a8e6c2de6fbbcc5e14fd27fb24414507cb3333198ea9ab1258d916f00bc3039"}, - {file = "cryptography-41.0.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cb33ccf15e89f7ed89b235cff9d49e2e62c6c981a6061c9c8bb47ed7951190bc"}, - {file = "cryptography-41.0.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f0ff6e18d13a3de56f609dd1fd11470918f770c6bd5d00d632076c727d35485"}, - {file = "cryptography-41.0.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7bfc55a5eae8b86a287747053140ba221afc65eb06207bedf6e019b8934b477c"}, - {file = "cryptography-41.0.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:eb8163f5e549a22888c18b0d53d6bb62a20510060a22fd5a995ec8a05268df8a"}, - {file = "cryptography-41.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:8dde71c4169ec5ccc1087bb7521d54251c016f126f922ab2dfe6649170a3b8c5"}, - {file = "cryptography-41.0.1.tar.gz", hash = "sha256:d34579085401d3f49762d2f7d6634d6b6c2ae1242202e860f4d26b046e3a1006"}, + {file = "cryptography-41.0.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:01f1d9e537f9a15b037d5d9ee442b8c22e3ae11ce65ea1f3316a41c78756b711"}, + {file = "cryptography-41.0.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:079347de771f9282fbfe0e0236c716686950c19dee1b76240ab09ce1624d76d7"}, + {file = "cryptography-41.0.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:439c3cc4c0d42fa999b83ded80a9a1fb54d53c58d6e59234cfe97f241e6c781d"}, + {file = "cryptography-41.0.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f14ad275364c8b4e525d018f6716537ae7b6d369c094805cae45300847e0894f"}, + {file = "cryptography-41.0.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:84609ade00a6ec59a89729e87a503c6e36af98ddcd566d5f3be52e29ba993182"}, + {file = "cryptography-41.0.2-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:49c3222bb8f8e800aead2e376cbef687bc9e3cb9b58b29a261210456a7783d83"}, + {file = "cryptography-41.0.2-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:d73f419a56d74fef257955f51b18d046f3506270a5fd2ac5febbfa259d6c0fa5"}, + {file = "cryptography-41.0.2-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:2a034bf7d9ca894720f2ec1d8b7b5832d7e363571828037f9e0c4f18c1b58a58"}, + {file = "cryptography-41.0.2-cp37-abi3-win32.whl", hash = "sha256:d124682c7a23c9764e54ca9ab5b308b14b18eba02722b8659fb238546de83a76"}, + {file = "cryptography-41.0.2-cp37-abi3-win_amd64.whl", hash = "sha256:9c3fe6534d59d071ee82081ca3d71eed3210f76ebd0361798c74abc2bcf347d4"}, + {file = "cryptography-41.0.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a719399b99377b218dac6cf547b6ec54e6ef20207b6165126a280b0ce97e0d2a"}, + {file = "cryptography-41.0.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:182be4171f9332b6741ee818ec27daff9fb00349f706629f5cbf417bd50e66fd"}, + {file = "cryptography-41.0.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:7a9a3bced53b7f09da251685224d6a260c3cb291768f54954e28f03ef14e3766"}, + {file = "cryptography-41.0.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:f0dc40e6f7aa37af01aba07277d3d64d5a03dc66d682097541ec4da03cc140ee"}, + {file = "cryptography-41.0.2-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:674b669d5daa64206c38e507808aae49904c988fa0a71c935e7006a3e1e83831"}, + {file = "cryptography-41.0.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7af244b012711a26196450d34f483357e42aeddb04128885d95a69bd8b14b69b"}, + {file = "cryptography-41.0.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:9b6d717393dbae53d4e52684ef4f022444fc1cce3c48c38cb74fca29e1f08eaa"}, + {file = "cryptography-41.0.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:192255f539d7a89f2102d07d7375b1e0a81f7478925b3bc2e0549ebf739dae0e"}, + {file = "cryptography-41.0.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f772610fe364372de33d76edcd313636a25684edb94cee53fd790195f5989d14"}, + {file = "cryptography-41.0.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:b332cba64d99a70c1e0836902720887fb4529ea49ea7f5462cf6640e095e11d2"}, + {file = "cryptography-41.0.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:9a6673c1828db6270b76b22cc696f40cde9043eb90373da5c2f8f2158957f42f"}, + {file = "cryptography-41.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:342f3767e25876751e14f8459ad85e77e660537ca0a066e10e75df9c9e9099f0"}, + {file = "cryptography-41.0.2.tar.gz", hash = "sha256:7d230bf856164de164ecb615ccc14c7fc6de6906ddd5b491f3af90d3514c925c"}, ] [package.dependencies] @@ -636,45 +640,45 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc [[package]] name = "fonttools" -version = "4.40.0" +version = "4.41.0" description = "Tools to manipulate font files" optional = false python-versions = ">=3.8" files = [ - {file = "fonttools-4.40.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b802dcbf9bcff74672f292b2466f6589ab8736ce4dcf36f48eb994c2847c4b30"}, - {file = "fonttools-4.40.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7f6e3fa3da923063c286320e728ba2270e49c73386e3a711aa680f4b0747d692"}, - {file = "fonttools-4.40.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5fdf60f8a5c6bcce7d024a33f7e4bc7921f5b74e8ea13bccd204f2c8b86f3470"}, - {file = "fonttools-4.40.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91784e21a1a085fac07c6a407564f4a77feb471b5954c9ee55a4f9165151f6c1"}, - {file = "fonttools-4.40.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:05171f3c546f64d78569f10adc0de72561882352cac39ec7439af12304d8d8c0"}, - {file = "fonttools-4.40.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7449e5e306f3a930a8944c85d0cbc8429cba13503372a1a40f23124d6fb09b58"}, - {file = "fonttools-4.40.0-cp310-cp310-win32.whl", hash = "sha256:bae8c13abbc2511e9a855d2142c0ab01178dd66b1a665798f357da0d06253e0d"}, - {file = "fonttools-4.40.0-cp310-cp310-win_amd64.whl", hash = "sha256:425b74a608427499b0e45e433c34ddc350820b6f25b7c8761963a08145157a66"}, - {file = "fonttools-4.40.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:00ab569b2a3e591e00425023ade87e8fef90380c1dde61be7691cb524ca5f743"}, - {file = "fonttools-4.40.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:18ea64ac43e94c9e0c23d7a9475f1026be0e25b10dda8f236fc956188761df97"}, - {file = "fonttools-4.40.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:022c4a16b412293e7f1ce21b8bab7a6f9d12c4ffdf171fdc67122baddb973069"}, - {file = "fonttools-4.40.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:530c5d35109f3e0cea2535742d6a3bc99c0786cf0cbd7bb2dc9212387f0d908c"}, - {file = "fonttools-4.40.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5e00334c66f4e83535384cb5339526d01d02d77f142c23b2f97bd6a4f585497a"}, - {file = "fonttools-4.40.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:eb52c10fda31159c22c7ed85074e05f8b97da8773ea461706c273e31bcbea836"}, - {file = "fonttools-4.40.0-cp311-cp311-win32.whl", hash = "sha256:6a8d71b9a5c884c72741868e845c0e563c5d83dcaf10bb0ceeec3b4b2eb14c67"}, - {file = "fonttools-4.40.0-cp311-cp311-win_amd64.whl", hash = "sha256:15abb3d055c1b2dff9ce376b6c3db10777cb74b37b52b78f61657634fd348a0d"}, - {file = "fonttools-4.40.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:14037c31138fbd21847ad5e5441dfdde003e0a8f3feb5812a1a21fd1c255ffbd"}, - {file = "fonttools-4.40.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:94c915f6716589f78bc00fbc14c5b8de65cfd11ee335d32504f1ef234524cb24"}, - {file = "fonttools-4.40.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37467cee0f32cada2ec08bc16c9c31f9b53ea54b2f5604bf25a1246b5f50593a"}, - {file = "fonttools-4.40.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56d4d85f5374b45b08d2f928517d1e313ea71b4847240398decd0ab3ebbca885"}, - {file = "fonttools-4.40.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8c4305b171b61040b1ee75d18f9baafe58bd3b798d1670078efe2c92436bfb63"}, - {file = "fonttools-4.40.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a954b90d1473c85a22ecf305761d9fd89da93bbd31dae86e7dea436ad2cb5dc9"}, - {file = "fonttools-4.40.0-cp38-cp38-win32.whl", hash = "sha256:1bc4c5b147be8dbc5df9cc8ac5e93ee914ad030fe2a201cc8f02f499db71011d"}, - {file = "fonttools-4.40.0-cp38-cp38-win_amd64.whl", hash = "sha256:8a917828dbfdb1cbe50cf40eeae6fbf9c41aef9e535649ed8f4982b2ef65c091"}, - {file = "fonttools-4.40.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:882983279bf39afe4e945109772c2ffad2be2c90983d6559af8b75c19845a80a"}, - {file = "fonttools-4.40.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c55f1b4109dbc3aeb496677b3e636d55ef46dc078c2a5e3f3db4e90f1c6d2907"}, - {file = "fonttools-4.40.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec468c022d09f1817c691cf884feb1030ef6f1e93e3ea6831b0d8144c06480d1"}, - {file = "fonttools-4.40.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d5adf4ba114f028fc3f5317a221fd8b0f4ef7a2e5524a2b1e0fd891b093791a"}, - {file = "fonttools-4.40.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:aa83b3f151bc63970f39b2b42a06097c5a22fd7ed9f7ba008e618de4503d3895"}, - {file = "fonttools-4.40.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:97d95b8301b62bdece1af943b88bcb3680fd385f88346a4a899ee145913b414a"}, - {file = "fonttools-4.40.0-cp39-cp39-win32.whl", hash = "sha256:1a003608400dd1cca3e089e8c94973c6b51a4fb1ef00ff6d7641617b9242e637"}, - {file = "fonttools-4.40.0-cp39-cp39-win_amd64.whl", hash = "sha256:7961575221e3da0841c75da53833272c520000d76f7f71274dbf43370f8a1065"}, - {file = "fonttools-4.40.0-py3-none-any.whl", hash = "sha256:200729d12461e2038700d31f0d49ad5a7b55855dec7525074979a06b46f88505"}, - {file = "fonttools-4.40.0.tar.gz", hash = "sha256:337b6e83d7ee73c40ea62407f2ce03b07c3459e213b6f332b94a69923b9e1cb9"}, + {file = "fonttools-4.41.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ba2a367ff478cd108d5319c0dc4fd4eb4ea3476dbfc45b00c45718e889cd9463"}, + {file = "fonttools-4.41.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:69178674505ec81adf4af2a3bbacd0cb9a37ba7831bc3fca307f80e48ab2767b"}, + {file = "fonttools-4.41.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86edb95c4d1fe4fae2111d7e0c10c6e42b7790b377bcf1952303469eee5b52bb"}, + {file = "fonttools-4.41.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50f8bdb421270f71b54695c62785e300fab4bb6127be40bf9f3084962a0c3adb"}, + {file = "fonttools-4.41.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c890061915e95b619c1d3cc3c107c6fb021406b701c0c24b03e74830d522f210"}, + {file = "fonttools-4.41.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b329ae7ce971b5c4148d6cdb8119c0ce4587265b2330d4f2f3776ef851bee020"}, + {file = "fonttools-4.41.0-cp310-cp310-win32.whl", hash = "sha256:bc9e7b1e268be7a23fc66471b615c324e99c5db39ce8c49dd6dd8e962c7bc1b8"}, + {file = "fonttools-4.41.0-cp310-cp310-win_amd64.whl", hash = "sha256:f3fe90dfb297bd8265238c06787911cd81c2cb89ac5b13e1c911928bdabfce0f"}, + {file = "fonttools-4.41.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e38bd91eae257f36c2b7245c0278e9cd9d754f3a66b8d2b548c623ba66e387b6"}, + {file = "fonttools-4.41.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:415cf7c806a3f56fb280dadcf3c92c85c0415e75665ca957b4a2a2e39c17a5c9"}, + {file = "fonttools-4.41.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:381558eafffc1432d08ca58063e71c7376ecaae48e9318354a90a1049a644845"}, + {file = "fonttools-4.41.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ee75b8ca48f6c48af25e967dce995ef94e46872b35c7d454b983c62c9c7006d"}, + {file = "fonttools-4.41.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d45f28c20bb67dee0f4a4caae709f40b0693d764b7b2bf2d58890f36b1bfcef0"}, + {file = "fonttools-4.41.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5448a87f6ed57ed844b64a05d3792827af584a8584613f6289867f4e77eb603b"}, + {file = "fonttools-4.41.0-cp311-cp311-win32.whl", hash = "sha256:69dbe0154e15b68dd671441ea8f23dad87488b24a6e650d45958f4722819a443"}, + {file = "fonttools-4.41.0-cp311-cp311-win_amd64.whl", hash = "sha256:ea879afd1d6189fca02a85a7868560c9bb8415dccff6b7ae6d81e4f06b3ab30d"}, + {file = "fonttools-4.41.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8f602dd5bcde7e4241419924f23c6f0d66723dd5408a58c3a2f781745c693f45"}, + {file = "fonttools-4.41.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:06eac087ea55b3ebb2207d93b5ac56c847163899f05f5a77e1910f688fe10030"}, + {file = "fonttools-4.41.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7e22d0144d735f6c7df770509b8c0c33414bf460df0d5dddc98a159e5dbb10eb"}, + {file = "fonttools-4.41.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19d461c801b8904d201c6c38a99bfcfef673bfdfe0c7f026f582ef78896434e0"}, + {file = "fonttools-4.41.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:72d40a32d6443871ea0d147813caad58394b48729dfa4fbc45dcaac54f9506f2"}, + {file = "fonttools-4.41.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0614b6348866092d00df3dfb37e037fc06412ca67087de361a2777ea5ed62c16"}, + {file = "fonttools-4.41.0-cp38-cp38-win32.whl", hash = "sha256:e43f6c7f9ba4f9d29edee530e45f9aa162872ec9549398b85971477a99f2a806"}, + {file = "fonttools-4.41.0-cp38-cp38-win_amd64.whl", hash = "sha256:eb9dfa87152bd97019adc387b2f29ef6af601de4386f36570ca537ace96d96ed"}, + {file = "fonttools-4.41.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d2dae84a3d0f76884a6102c62f2795b2d6602c2c95cfcce74c8a590b6200e533"}, + {file = "fonttools-4.41.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cc3324e4159e6d1f55c3615b4c1c211f87cc96cc0cc7c946c8447dc1319f2e9d"}, + {file = "fonttools-4.41.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c654b1facf1f3b742e4d9b2dcdf0fa867b1f007b1b4981cc58a75ef5dca2a3c"}, + {file = "fonttools-4.41.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:560ea1a604c927399f36742abf342a4c5f3fee8e8e8a484b774dfe9630bd9a91"}, + {file = "fonttools-4.41.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9387b09694fbf8ac7dcf887069068f81fb4124d05e09557ac7daabfbec1744bd"}, + {file = "fonttools-4.41.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:465d0f24bf4f75160f441793b55076b7a080a57d3a1f738390af2c20bee24fbb"}, + {file = "fonttools-4.41.0-cp39-cp39-win32.whl", hash = "sha256:841c491fa3e9c54e8f9cd5dae059e88f45e086aea090c28be9d42f59c8b99e01"}, + {file = "fonttools-4.41.0-cp39-cp39-win_amd64.whl", hash = "sha256:efd59e83223cb77952997fb850c7a7c2a958c9af0642060f536722c2a9e9d53b"}, + {file = "fonttools-4.41.0-py3-none-any.whl", hash = "sha256:5b1c2b21b40229166a864f2b0aec06d37f0a204066deb1734c93370e0c76339d"}, + {file = "fonttools-4.41.0.tar.gz", hash = "sha256:6faff25991dec48f8cac882055a09ae1a29fd15bc160bc3d663e789e994664c2"}, ] [package.extras] @@ -721,13 +725,13 @@ dev = ["flake8", "markdown", "twine", "wheel"] [[package]] name = "griffe" -version = "0.31.0" +version = "0.32.3" description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.8" files = [ - {file = "griffe-0.31.0-py3-none-any.whl", hash = "sha256:de6e659487497c0e73459d370f40bfda7d6f9f6cec43a687de8a110ec72a2c4f"}, - {file = "griffe-0.31.0.tar.gz", hash = "sha256:b51f6e9541ce9cb9c08580917971cd4b76b6d88e2469822d612b614fb96be776"}, + {file = "griffe-0.32.3-py3-none-any.whl", hash = "sha256:d9471934225818bf8f309822f70451cc6abb4b24e59e0bb27402a45f9412510f"}, + {file = "griffe-0.32.3.tar.gz", hash = "sha256:14983896ad581f59d5ad7b6c9261ff12bdaa905acccc1129341d13e545da8521"}, ] [package.dependencies] @@ -746,13 +750,13 @@ files = [ [[package]] name = "importlib-metadata" -version = "6.7.0" +version = "6.8.0" description = "Read metadata from Python packages" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "importlib_metadata-6.7.0-py3-none-any.whl", hash = "sha256:cb52082e659e97afc5dac71e79de97d8681de3aa07ff18578330904a9d18e5b5"}, - {file = "importlib_metadata-6.7.0.tar.gz", hash = "sha256:1aaf550d4f73e5d6783e7acb77aec43d49da8017410afae93822cc9cca98c4d4"}, + {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"}, + {file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"}, ] [package.dependencies] @@ -761,25 +765,25 @@ zipp = ">=0.5" [package.extras] docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] perf = ["ipython"] -testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"] +testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"] [[package]] name = "importlib-resources" -version = "5.12.0" +version = "6.0.0" description = "Read resources from Python packages" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"}, - {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"}, + {file = "importlib_resources-6.0.0-py3-none-any.whl", hash = "sha256:d952faee11004c045f785bb5636e8f885bed30dc3c940d5d42798a2a4541c185"}, + {file = "importlib_resources-6.0.0.tar.gz", hash = "sha256:4cf94875a8368bd89531a756df9a9ebe1f150e0f885030b461237bc7f2d905f2"}, ] [package.dependencies] zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [[package]] name = "iniconfig" @@ -891,21 +895,21 @@ arrow = ">=0.15.0" [[package]] name = "jaraco-classes" -version = "3.2.3" +version = "3.3.0" description = "Utility functions for Python class constructs" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "jaraco.classes-3.2.3-py3-none-any.whl", hash = "sha256:2353de3288bc6b82120752201c6b1c1a14b058267fa424ed5ce5984e3b922158"}, - {file = "jaraco.classes-3.2.3.tar.gz", hash = "sha256:89559fa5c1d3c34eff6f631ad80bb21f378dbcbb35dd161fd2c6b93f5be2f98a"}, + {file = "jaraco.classes-3.3.0-py3-none-any.whl", hash = "sha256:10afa92b6743f25c0cf5f37c6bb6e18e2c5bb84a16527ccfc0040ea377e7aaeb"}, + {file = "jaraco.classes-3.3.0.tar.gz", hash = "sha256:c063dd08e89217cee02c8d5e5ec560f2c8ce6cdc2fcdc2e68f7b2e5547ed3621"}, ] [package.dependencies] more-itertools = "*" [package.extras] -docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"] -testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [[package]] name = "jedi" @@ -971,26 +975,28 @@ files = [ [[package]] name = "jsonschema" -version = "4.17.3" +version = "4.18.4" description = "An implementation of JSON Schema validation for Python" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"}, - {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"}, + {file = "jsonschema-4.18.4-py3-none-any.whl", hash = "sha256:971be834317c22daaa9132340a51c01b50910724082c2c1a2ac87eeec153a3fe"}, + {file = "jsonschema-4.18.4.tar.gz", hash = "sha256:fb3642735399fa958c0d2aad7057901554596c63349f4f6b283c493cf692a25d"}, ] [package.dependencies] -attrs = ">=17.4.0" +attrs = ">=22.2.0" fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""} isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} +jsonschema-specifications = ">=2023.03.6" pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""} -pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" +referencing = ">=0.28.4" rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} +rpds-py = ">=0.7.1" uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-nongpl\""} @@ -998,6 +1004,21 @@ webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-n format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] +[[package]] +name = "jsonschema-specifications" +version = "2023.6.1" +description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema_specifications-2023.6.1-py3-none-any.whl", hash = "sha256:3d2b82663aff01815f744bb5c7887e2121a63399b49b104a3c96145474d091d7"}, + {file = "jsonschema_specifications-2023.6.1.tar.gz", hash = "sha256:ca1c4dd059a9e7b34101cf5b3ab7ff1d18b139f35950d598d629837ef66e8f28"}, +] + +[package.dependencies] +importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""} +referencing = ">=0.28.0" + [[package]] name = "jupyter-client" version = "8.3.0" @@ -1334,52 +1355,52 @@ files = [ [[package]] name = "matplotlib" -version = "3.7.1" +version = "3.7.2" description = "Python plotting package" optional = false python-versions = ">=3.8" files = [ - {file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:95cbc13c1fc6844ab8812a525bbc237fa1470863ff3dace7352e910519e194b1"}, - {file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:08308bae9e91aca1ec6fd6dda66237eef9f6294ddb17f0d0b3c863169bf82353"}, - {file = "matplotlib-3.7.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:544764ba51900da4639c0f983b323d288f94f65f4024dc40ecb1542d74dc0500"}, - {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56d94989191de3fcc4e002f93f7f1be5da476385dde410ddafbb70686acf00ea"}, - {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e99bc9e65901bb9a7ce5e7bb24af03675cbd7c70b30ac670aa263240635999a4"}, - {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb7d248c34a341cd4c31a06fd34d64306624c8cd8d0def7abb08792a5abfd556"}, - {file = "matplotlib-3.7.1-cp310-cp310-win32.whl", hash = "sha256:ce463ce590f3825b52e9fe5c19a3c6a69fd7675a39d589e8b5fbe772272b3a24"}, - {file = "matplotlib-3.7.1-cp310-cp310-win_amd64.whl", hash = "sha256:3d7bc90727351fb841e4d8ae620d2d86d8ed92b50473cd2b42ce9186104ecbba"}, - {file = "matplotlib-3.7.1-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:770a205966d641627fd5cf9d3cb4b6280a716522cd36b8b284a8eb1581310f61"}, - {file = "matplotlib-3.7.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f67bfdb83a8232cb7a92b869f9355d677bce24485c460b19d01970b64b2ed476"}, - {file = "matplotlib-3.7.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2bf092f9210e105f414a043b92af583c98f50050559616930d884387d0772aba"}, - {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89768d84187f31717349c6bfadc0e0d8c321e8eb34522acec8a67b1236a66332"}, - {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:83111e6388dec67822e2534e13b243cc644c7494a4bb60584edbff91585a83c6"}, - {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a867bf73a7eb808ef2afbca03bcdb785dae09595fbe550e1bab0cd023eba3de0"}, - {file = "matplotlib-3.7.1-cp311-cp311-win32.whl", hash = "sha256:fbdeeb58c0cf0595efe89c05c224e0a502d1aa6a8696e68a73c3efc6bc354304"}, - {file = "matplotlib-3.7.1-cp311-cp311-win_amd64.whl", hash = "sha256:c0bd19c72ae53e6ab979f0ac6a3fafceb02d2ecafa023c5cca47acd934d10be7"}, - {file = "matplotlib-3.7.1-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:6eb88d87cb2c49af00d3bbc33a003f89fd9f78d318848da029383bfc08ecfbfb"}, - {file = "matplotlib-3.7.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:cf0e4f727534b7b1457898c4f4ae838af1ef87c359b76dcd5330fa31893a3ac7"}, - {file = "matplotlib-3.7.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:46a561d23b91f30bccfd25429c3c706afe7d73a5cc64ef2dfaf2b2ac47c1a5dc"}, - {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8704726d33e9aa8a6d5215044b8d00804561971163563e6e6591f9dcf64340cc"}, - {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4cf327e98ecf08fcbb82685acaf1939d3338548620ab8dfa02828706402c34de"}, - {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:617f14ae9d53292ece33f45cba8503494ee199a75b44de7717964f70637a36aa"}, - {file = "matplotlib-3.7.1-cp38-cp38-win32.whl", hash = "sha256:7c9a4b2da6fac77bcc41b1ea95fadb314e92508bf5493ceff058e727e7ecf5b0"}, - {file = "matplotlib-3.7.1-cp38-cp38-win_amd64.whl", hash = "sha256:14645aad967684e92fc349493fa10c08a6da514b3d03a5931a1bac26e6792bd1"}, - {file = "matplotlib-3.7.1-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:81a6b377ea444336538638d31fdb39af6be1a043ca5e343fe18d0f17e098770b"}, - {file = "matplotlib-3.7.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:28506a03bd7f3fe59cd3cd4ceb2a8d8a2b1db41afede01f66c42561b9be7b4b7"}, - {file = "matplotlib-3.7.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c587963b85ce41e0a8af53b9b2de8dddbf5ece4c34553f7bd9d066148dc719c"}, - {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8bf26ade3ff0f27668989d98c8435ce9327d24cffb7f07d24ef609e33d582439"}, - {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:def58098f96a05f90af7e92fd127d21a287068202aa43b2a93476170ebd99e87"}, - {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f883a22a56a84dba3b588696a2b8a1ab0d2c3d41be53264115c71b0a942d8fdb"}, - {file = "matplotlib-3.7.1-cp39-cp39-win32.whl", hash = "sha256:4f99e1b234c30c1e9714610eb0c6d2f11809c9c78c984a613ae539ea2ad2eb4b"}, - {file = "matplotlib-3.7.1-cp39-cp39-win_amd64.whl", hash = "sha256:3ba2af245e36990facf67fde840a760128ddd71210b2ab6406e640188d69d136"}, - {file = "matplotlib-3.7.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3032884084f541163f295db8a6536e0abb0db464008fadca6c98aaf84ccf4717"}, - {file = "matplotlib-3.7.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a2cb34336110e0ed8bb4f650e817eed61fa064acbefeb3591f1b33e3a84fd96"}, - {file = "matplotlib-3.7.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b867e2f952ed592237a1828f027d332d8ee219ad722345b79a001f49df0936eb"}, - {file = "matplotlib-3.7.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:57bfb8c8ea253be947ccb2bc2d1bb3862c2bccc662ad1b4626e1f5e004557042"}, - {file = "matplotlib-3.7.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:438196cdf5dc8d39b50a45cb6e3f6274edbcf2254f85fa9b895bf85851c3a613"}, - {file = "matplotlib-3.7.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:21e9cff1a58d42e74d01153360de92b326708fb205250150018a52c70f43c290"}, - {file = "matplotlib-3.7.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75d4725d70b7c03e082bbb8a34639ede17f333d7247f56caceb3801cb6ff703d"}, - {file = "matplotlib-3.7.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:97cc368a7268141afb5690760921765ed34867ffb9655dd325ed207af85c7529"}, - {file = "matplotlib-3.7.1.tar.gz", hash = "sha256:7b73305f25eab4541bd7ee0b96d87e53ae9c9f1823be5659b806cd85786fe882"}, + {file = "matplotlib-3.7.2-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:2699f7e73a76d4c110f4f25be9d2496d6ab4f17345307738557d345f099e07de"}, + {file = "matplotlib-3.7.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a8035ba590658bae7562786c9cc6ea1a84aa49d3afab157e414c9e2ea74f496d"}, + {file = "matplotlib-3.7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2f8e4a49493add46ad4a8c92f63e19d548b2b6ebbed75c6b4c7f46f57d36cdd1"}, + {file = "matplotlib-3.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71667eb2ccca4c3537d9414b1bc00554cb7f91527c17ee4ec38027201f8f1603"}, + {file = "matplotlib-3.7.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:152ee0b569a37630d8628534c628456b28686e085d51394da6b71ef84c4da201"}, + {file = "matplotlib-3.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:070f8dddd1f5939e60aacb8fa08f19551f4b0140fab16a3669d5cd6e9cb28fc8"}, + {file = "matplotlib-3.7.2-cp310-cp310-win32.whl", hash = "sha256:fdbb46fad4fb47443b5b8ac76904b2e7a66556844f33370861b4788db0f8816a"}, + {file = "matplotlib-3.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:23fb1750934e5f0128f9423db27c474aa32534cec21f7b2153262b066a581fd1"}, + {file = "matplotlib-3.7.2-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:30e1409b857aa8a747c5d4f85f63a79e479835f8dffc52992ac1f3f25837b544"}, + {file = "matplotlib-3.7.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:50e0a55ec74bf2d7a0ebf50ac580a209582c2dd0f7ab51bc270f1b4a0027454e"}, + {file = "matplotlib-3.7.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ac60daa1dc83e8821eed155796b0f7888b6b916cf61d620a4ddd8200ac70cd64"}, + {file = "matplotlib-3.7.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:305e3da477dc8607336ba10bac96986d6308d614706cae2efe7d3ffa60465b24"}, + {file = "matplotlib-3.7.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c308b255efb9b06b23874236ec0f10f026673ad6515f602027cc8ac7805352d"}, + {file = "matplotlib-3.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60c521e21031632aa0d87ca5ba0c1c05f3daacadb34c093585a0be6780f698e4"}, + {file = "matplotlib-3.7.2-cp311-cp311-win32.whl", hash = "sha256:26bede320d77e469fdf1bde212de0ec889169b04f7f1179b8930d66f82b30cbc"}, + {file = "matplotlib-3.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:af4860132c8c05261a5f5f8467f1b269bf1c7c23902d75f2be57c4a7f2394b3e"}, + {file = "matplotlib-3.7.2-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:a1733b8e84e7e40a9853e505fe68cc54339f97273bdfe6f3ed980095f769ddc7"}, + {file = "matplotlib-3.7.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d9881356dc48e58910c53af82b57183879129fa30492be69058c5b0d9fddf391"}, + {file = "matplotlib-3.7.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f081c03f413f59390a80b3e351cc2b2ea0205839714dbc364519bcf51f4b56ca"}, + {file = "matplotlib-3.7.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1cd120fca3407a225168238b790bd5c528f0fafde6172b140a2f3ab7a4ea63e9"}, + {file = "matplotlib-3.7.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a2c1590b90aa7bd741b54c62b78de05d4186271e34e2377e0289d943b3522273"}, + {file = "matplotlib-3.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d2ff3c984b8a569bc1383cd468fc06b70d7b59d5c2854ca39f1436ae8394117"}, + {file = "matplotlib-3.7.2-cp38-cp38-win32.whl", hash = "sha256:5dea00b62d28654b71ca92463656d80646675628d0828e08a5f3b57e12869e13"}, + {file = "matplotlib-3.7.2-cp38-cp38-win_amd64.whl", hash = "sha256:0f506a1776ee94f9e131af1ac6efa6e5bc7cb606a3e389b0ccb6e657f60bb676"}, + {file = "matplotlib-3.7.2-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:6515e878f91894c2e4340d81f0911857998ccaf04dbc1bba781e3d89cbf70608"}, + {file = "matplotlib-3.7.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:71f7a8c6b124e904db550f5b9fe483d28b896d4135e45c4ea381ad3b8a0e3256"}, + {file = "matplotlib-3.7.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:12f01b92ecd518e0697da4d97d163b2b3aa55eb3eb4e2c98235b3396d7dad55f"}, + {file = "matplotlib-3.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7e28d6396563955f7af437894a36bf2b279462239a41028323e04b85179058b"}, + {file = "matplotlib-3.7.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbcf59334ff645e6a67cd5f78b4b2cdb76384cdf587fa0d2dc85f634a72e1a3e"}, + {file = "matplotlib-3.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:318c89edde72ff95d8df67d82aca03861240512994a597a435a1011ba18dbc7f"}, + {file = "matplotlib-3.7.2-cp39-cp39-win32.whl", hash = "sha256:ce55289d5659b5b12b3db4dc9b7075b70cef5631e56530f14b2945e8836f2d20"}, + {file = "matplotlib-3.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:2ecb5be2b2815431c81dc115667e33da0f5a1bcf6143980d180d09a717c4a12e"}, + {file = "matplotlib-3.7.2-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:fdcd28360dbb6203fb5219b1a5658df226ac9bebc2542a9e8f457de959d713d0"}, + {file = "matplotlib-3.7.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c3cca3e842b11b55b52c6fb8bd6a4088693829acbfcdb3e815fa9b7d5c92c1b"}, + {file = "matplotlib-3.7.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ebf577c7a6744e9e1bd3fee45fc74a02710b214f94e2bde344912d85e0c9af7c"}, + {file = "matplotlib-3.7.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:936bba394682049919dda062d33435b3be211dc3dcaa011e09634f060ec878b2"}, + {file = "matplotlib-3.7.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:bc221ffbc2150458b1cd71cdd9ddd5bb37962b036e41b8be258280b5b01da1dd"}, + {file = "matplotlib-3.7.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35d74ebdb3f71f112b36c2629cf32323adfbf42679e2751252acd468f5001c07"}, + {file = "matplotlib-3.7.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:717157e61b3a71d3d26ad4e1770dc85156c9af435659a25ee6407dc866cb258d"}, + {file = "matplotlib-3.7.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:20f844d6be031948148ba49605c8b96dfe7d3711d1b63592830d650622458c11"}, + {file = "matplotlib-3.7.2.tar.gz", hash = "sha256:a8cdb91dddb04436bd2f098b8fdf4b81352e68cf4d2c6756fcc414791076569b"}, ] [package.dependencies] @@ -1391,7 +1412,7 @@ kiwisolver = ">=1.0.1" numpy = ">=1.20" packaging = ">=20.0" pillow = ">=6.2.0" -pyparsing = ">=2.3.1" +pyparsing = ">=2.3.1,<3.1" python-dateutil = ">=2.7" [[package]] @@ -1486,13 +1507,13 @@ mkdocs = ">=1.1" [[package]] name = "mkdocs-material" -version = "9.1.18" +version = "9.1.19" description = "Documentation that simply works" optional = false python-versions = ">=3.7" files = [ - {file = "mkdocs_material-9.1.18-py3-none-any.whl", hash = "sha256:5bcf8fb79ac2f253c0ffe93fa181cba87718c6438f459dc4180ac7418cc9a450"}, - {file = "mkdocs_material-9.1.18.tar.gz", hash = "sha256:981dd39979723d4cda7cfc77bbbe5e54922d5761a7af23fb8ba9edb52f114b13"}, + {file = "mkdocs_material-9.1.19-py3-none-any.whl", hash = "sha256:fb0a149294b319aedf36983919d8c40c9e566db21ead16258e20ebd2e6c0961c"}, + {file = "mkdocs_material-9.1.19.tar.gz", hash = "sha256:73b94b08c765e92a80645aac58d6a741fc5f587deec2b715489c714827b15a6f"}, ] [package.dependencies] @@ -1544,17 +1565,17 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"] [[package]] name = "mkdocstrings-python" -version = "1.1.2" +version = "1.2.0" description = "A Python handler for mkdocstrings." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "mkdocstrings_python-1.1.2-py3-none-any.whl", hash = "sha256:c2b652a850fec8e85034a9cdb3b45f8ad1a558686edc20ed1f40b4e17e62070f"}, - {file = "mkdocstrings_python-1.1.2.tar.gz", hash = "sha256:f28bdcacb9bcdb44b6942a5642c1ea8b36870614d33e29e3c923e204a8d8ed61"}, + {file = "mkdocstrings_python-1.2.0-py3-none-any.whl", hash = "sha256:2924c9c4286fd236bdae64402b5cc5010dee13779b3edf1a65d97bc02303657b"}, + {file = "mkdocstrings_python-1.2.0.tar.gz", hash = "sha256:e16bedc236a3a6aa04c916ae6b9d37d2299c80c6e7169fc481a30ed9f8f362a4"}, ] [package.dependencies] -griffe = ">=0.24" +griffe = ">=0.30" mkdocstrings = ">=0.20" [[package]] @@ -1627,13 +1648,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>= [[package]] name = "nbconvert" -version = "7.6.0" +version = "7.7.1" description = "Converting Jupyter Notebooks" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "nbconvert-7.6.0-py3-none-any.whl", hash = "sha256:5a445c6794b0791984bc5436608fe2c066cb43c83920c7bc91bde3b765e9a264"}, - {file = "nbconvert-7.6.0.tar.gz", hash = "sha256:24fcf27efdef2b51d7f090cc5ce5a9b178766a55be513c4ebab08c91899ab550"}, + {file = "nbconvert-7.7.1-py3-none-any.whl", hash = "sha256:c99158a98e2bd32c4877de425f008e149af28f4fffbcc8a898086dd83109c1de"}, + {file = "nbconvert-7.7.1.tar.gz", hash = "sha256:b820b206bd16898d39198a732dac6fb7019e82a44a282f606d931b8113240295"}, ] [package.dependencies] @@ -1660,18 +1681,18 @@ docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sp qtpdf = ["nbconvert[qtpng]"] qtpng = ["pyqtwebengine (>=5.15)"] serve = ["tornado (>=6.1)"] -test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"] -webpdf = ["pyppeteer (>=1,<1.1)"] +test = ["flaky", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"] +webpdf = ["playwright"] [[package]] name = "nbformat" -version = "5.9.0" +version = "5.9.1" description = "The Jupyter Notebook format" optional = false python-versions = ">=3.8" files = [ - {file = "nbformat-5.9.0-py3-none-any.whl", hash = "sha256:8c8fa16d6d05062c26177754bfbfac22de644888e2ef69d27ad2a334cf2576e5"}, - {file = "nbformat-5.9.0.tar.gz", hash = "sha256:e98ebb6120c3efbafdee2a40af2a140cadee90bb06dd69a2a63d9551fcc7f976"}, + {file = "nbformat-5.9.1-py3-none-any.whl", hash = "sha256:b7968ebf4811178a4108ee837eae1442e3f054132100f0359219e9ed1ce3ca45"}, + {file = "nbformat-5.9.1.tar.gz", hash = "sha256:3a7f52d040639cbd8a3890218c8b0ffb93211588c57446c90095e32ba5881b5d"}, ] [package.dependencies] @@ -1814,7 +1835,7 @@ numpy = [ name = "opencv-python-headless" version = "4.8.0.74" description = "Wrapper package for OpenCV python bindings." -optional = true +optional = false python-versions = ">=3.6" files = [ {file = "opencv-python-headless-4.8.0.74.tar.gz", hash = "sha256:a72770b8f2e08358b1faa41c8372b17d040aa9bb3e446ab7090e358f6f4e91ba"}, @@ -1912,71 +1933,54 @@ files = [ [[package]] name = "pillow" -version = "10.0.0" +version = "8.4.0" description = "Python Imaging Library (Fork)" optional = false -python-versions = ">=3.8" +python-versions = ">=3.6" files = [ - {file = "Pillow-10.0.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f62406a884ae75fb2f818694469519fb685cc7eaff05d3451a9ebe55c646891"}, - {file = "Pillow-10.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d5db32e2a6ccbb3d34d87c87b432959e0db29755727afb37290e10f6e8e62614"}, - {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edf4392b77bdc81f36e92d3a07a5cd072f90253197f4a52a55a8cec48a12483b"}, - {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:520f2a520dc040512699f20fa1c363eed506e94248d71f85412b625026f6142c"}, - {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:8c11160913e3dd06c8ffdb5f233a4f254cb449f4dfc0f8f4549eda9e542c93d1"}, - {file = "Pillow-10.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a74ba0c356aaa3bb8e3eb79606a87669e7ec6444be352870623025d75a14a2bf"}, - {file = "Pillow-10.0.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d5d0dae4cfd56969d23d94dc8e89fb6a217be461c69090768227beb8ed28c0a3"}, - {file = "Pillow-10.0.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:22c10cc517668d44b211717fd9775799ccec4124b9a7f7b3635fc5386e584992"}, - {file = "Pillow-10.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:dffe31a7f47b603318c609f378ebcd57f1554a3a6a8effbc59c3c69f804296de"}, - {file = "Pillow-10.0.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:9fb218c8a12e51d7ead2a7c9e101a04982237d4855716af2e9499306728fb485"}, - {file = "Pillow-10.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d35e3c8d9b1268cbf5d3670285feb3528f6680420eafe35cccc686b73c1e330f"}, - {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ed64f9ca2f0a95411e88a4efbd7a29e5ce2cea36072c53dd9d26d9c76f753b3"}, - {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b6eb5502f45a60a3f411c63187db83a3d3107887ad0d036c13ce836f8a36f1d"}, - {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:c1fbe7621c167ecaa38ad29643d77a9ce7311583761abf7836e1510c580bf3dd"}, - {file = "Pillow-10.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:cd25d2a9d2b36fcb318882481367956d2cf91329f6892fe5d385c346c0649629"}, - {file = "Pillow-10.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3b08d4cc24f471b2c8ca24ec060abf4bebc6b144cb89cba638c720546b1cf538"}, - {file = "Pillow-10.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d737a602fbd82afd892ca746392401b634e278cb65d55c4b7a8f48e9ef8d008d"}, - {file = "Pillow-10.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:3a82c40d706d9aa9734289740ce26460a11aeec2d9c79b7af87bb35f0073c12f"}, - {file = "Pillow-10.0.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:d80cf684b541685fccdd84c485b31ce73fc5c9b5d7523bf1394ce134a60c6883"}, - {file = "Pillow-10.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:76de421f9c326da8f43d690110f0e79fe3ad1e54be811545d7d91898b4c8493e"}, - {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81ff539a12457809666fef6624684c008e00ff6bf455b4b89fd00a140eecd640"}, - {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce543ed15570eedbb85df19b0a1a7314a9c8141a36ce089c0a894adbfccb4568"}, - {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:685ac03cc4ed5ebc15ad5c23bc555d68a87777586d970c2c3e216619a5476223"}, - {file = "Pillow-10.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d72e2ecc68a942e8cf9739619b7f408cc7b272b279b56b2c83c6123fcfa5cdff"}, - {file = "Pillow-10.0.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d50b6aec14bc737742ca96e85d6d0a5f9bfbded018264b3b70ff9d8c33485551"}, - {file = "Pillow-10.0.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:00e65f5e822decd501e374b0650146063fbb30a7264b4d2744bdd7b913e0cab5"}, - {file = "Pillow-10.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:f31f9fdbfecb042d046f9d91270a0ba28368a723302786c0009ee9b9f1f60199"}, - {file = "Pillow-10.0.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:349930d6e9c685c089284b013478d6f76e3a534e36ddfa912cde493f235372f3"}, - {file = "Pillow-10.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3a684105f7c32488f7153905a4e3015a3b6c7182e106fe3c37fbb5ef3e6994c3"}, - {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4f69b3700201b80bb82c3a97d5e9254084f6dd5fb5b16fc1a7b974260f89f43"}, - {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f07ea8d2f827d7d2a49ecf1639ec02d75ffd1b88dcc5b3a61bbb37a8759ad8d"}, - {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:040586f7d37b34547153fa383f7f9aed68b738992380ac911447bb78f2abe530"}, - {file = "Pillow-10.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:f88a0b92277de8e3ca715a0d79d68dc82807457dae3ab8699c758f07c20b3c51"}, - {file = "Pillow-10.0.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:c7cf14a27b0d6adfaebb3ae4153f1e516df54e47e42dcc073d7b3d76111a8d86"}, - {file = "Pillow-10.0.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3400aae60685b06bb96f99a21e1ada7bc7a413d5f49bce739828ecd9391bb8f7"}, - {file = "Pillow-10.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:dbc02381779d412145331789b40cc7b11fdf449e5d94f6bc0b080db0a56ea3f0"}, - {file = "Pillow-10.0.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:9211e7ad69d7c9401cfc0e23d49b69ca65ddd898976d660a2fa5904e3d7a9baa"}, - {file = "Pillow-10.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:faaf07ea35355b01a35cb442dd950d8f1bb5b040a7787791a535de13db15ed90"}, - {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f72a021fbb792ce98306ffb0c348b3c9cb967dce0f12a49aa4c3d3fdefa967"}, - {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f7c16705f44e0504a3a2a14197c1f0b32a95731d251777dcb060aa83022cb2d"}, - {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:76edb0a1fa2b4745fb0c99fb9fb98f8b180a1bbceb8be49b087e0b21867e77d3"}, - {file = "Pillow-10.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:368ab3dfb5f49e312231b6f27b8820c823652b7cd29cfbd34090565a015e99ba"}, - {file = "Pillow-10.0.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:608bfdee0d57cf297d32bcbb3c728dc1da0907519d1784962c5f0c68bb93e5a3"}, - {file = "Pillow-10.0.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5c6e3df6bdd396749bafd45314871b3d0af81ff935b2d188385e970052091017"}, - {file = "Pillow-10.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:7be600823e4c8631b74e4a0d38384c73f680e6105a7d3c6824fcf226c178c7e6"}, - {file = "Pillow-10.0.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:92be919bbc9f7d09f7ae343c38f5bb21c973d2576c1d45600fce4b74bafa7ac0"}, - {file = "Pillow-10.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8182b523b2289f7c415f589118228d30ac8c355baa2f3194ced084dac2dbba"}, - {file = "Pillow-10.0.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:38250a349b6b390ee6047a62c086d3817ac69022c127f8a5dc058c31ccef17f3"}, - {file = "Pillow-10.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:88af2003543cc40c80f6fca01411892ec52b11021b3dc22ec3bc9d5afd1c5334"}, - {file = "Pillow-10.0.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:c189af0545965fa8d3b9613cfdb0cd37f9d71349e0f7750e1fd704648d475ed2"}, - {file = "Pillow-10.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce7b031a6fc11365970e6a5686d7ba8c63e4c1cf1ea143811acbb524295eabed"}, - {file = "Pillow-10.0.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:db24668940f82321e746773a4bc617bfac06ec831e5c88b643f91f122a785684"}, - {file = "Pillow-10.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:efe8c0681042536e0d06c11f48cebe759707c9e9abf880ee213541c5b46c5bf3"}, - {file = "Pillow-10.0.0.tar.gz", hash = "sha256:9c82b5b3e043c7af0d95792d0d20ccf68f61a1fec6b3530e718b688422727396"}, + {file = "Pillow-8.4.0-cp310-cp310-macosx_10_10_universal2.whl", hash = "sha256:81f8d5c81e483a9442d72d182e1fb6dcb9723f289a57e8030811bac9ea3fef8d"}, + {file = "Pillow-8.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3f97cfb1e5a392d75dd8b9fd274d205404729923840ca94ca45a0af57e13dbe6"}, + {file = "Pillow-8.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb9fc393f3c61f9054e1ed26e6fe912c7321af2f41ff49d3f83d05bacf22cc78"}, + {file = "Pillow-8.4.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d82cdb63100ef5eedb8391732375e6d05993b765f72cb34311fab92103314649"}, + {file = "Pillow-8.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62cc1afda735a8d109007164714e73771b499768b9bb5afcbbee9d0ff374b43f"}, + {file = "Pillow-8.4.0-cp310-cp310-win32.whl", hash = "sha256:e3dacecfbeec9a33e932f00c6cd7996e62f53ad46fbe677577394aaa90ee419a"}, + {file = "Pillow-8.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:620582db2a85b2df5f8a82ddeb52116560d7e5e6b055095f04ad828d1b0baa39"}, + {file = "Pillow-8.4.0-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:1bc723b434fbc4ab50bb68e11e93ce5fb69866ad621e3c2c9bdb0cd70e345f55"}, + {file = "Pillow-8.4.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:72cbcfd54df6caf85cc35264c77ede902452d6df41166010262374155947460c"}, + {file = "Pillow-8.4.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:70ad9e5c6cb9b8487280a02c0ad8a51581dcbbe8484ce058477692a27c151c0a"}, + {file = "Pillow-8.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25a49dc2e2f74e65efaa32b153527fc5ac98508d502fa46e74fa4fd678ed6645"}, + {file = "Pillow-8.4.0-cp36-cp36m-win32.whl", hash = "sha256:93ce9e955cc95959df98505e4608ad98281fff037350d8c2671c9aa86bcf10a9"}, + {file = "Pillow-8.4.0-cp36-cp36m-win_amd64.whl", hash = "sha256:2e4440b8f00f504ee4b53fe30f4e381aae30b0568193be305256b1462216feff"}, + {file = "Pillow-8.4.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:8c803ac3c28bbc53763e6825746f05cc407b20e4a69d0122e526a582e3b5e153"}, + {file = "Pillow-8.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c8a17b5d948f4ceeceb66384727dde11b240736fddeda54ca740b9b8b1556b29"}, + {file = "Pillow-8.4.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1394a6ad5abc838c5cd8a92c5a07535648cdf6d09e8e2d6df916dfa9ea86ead8"}, + {file = "Pillow-8.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:792e5c12376594bfcb986ebf3855aa4b7c225754e9a9521298e460e92fb4a488"}, + {file = "Pillow-8.4.0-cp37-cp37m-win32.whl", hash = "sha256:d99ec152570e4196772e7a8e4ba5320d2d27bf22fdf11743dd882936ed64305b"}, + {file = "Pillow-8.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:7b7017b61bbcdd7f6363aeceb881e23c46583739cb69a3ab39cb384f6ec82e5b"}, + {file = "Pillow-8.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:d89363f02658e253dbd171f7c3716a5d340a24ee82d38aab9183f7fdf0cdca49"}, + {file = "Pillow-8.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0a0956fdc5defc34462bb1c765ee88d933239f9a94bc37d132004775241a7585"}, + {file = "Pillow-8.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b7bb9de00197fb4261825c15551adf7605cf14a80badf1761d61e59da347779"}, + {file = "Pillow-8.4.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:72b9e656e340447f827885b8d7a15fc8c4e68d410dc2297ef6787eec0f0ea409"}, + {file = "Pillow-8.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5a4532a12314149d8b4e4ad8ff09dde7427731fcfa5917ff16d0291f13609df"}, + {file = "Pillow-8.4.0-cp38-cp38-win32.whl", hash = "sha256:82aafa8d5eb68c8463b6e9baeb4f19043bb31fefc03eb7b216b51e6a9981ae09"}, + {file = "Pillow-8.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:066f3999cb3b070a95c3652712cffa1a748cd02d60ad7b4e485c3748a04d9d76"}, + {file = "Pillow-8.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:5503c86916d27c2e101b7f71c2ae2cddba01a2cf55b8395b0255fd33fa4d1f1a"}, + {file = "Pillow-8.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4acc0985ddf39d1bc969a9220b51d94ed51695d455c228d8ac29fcdb25810e6e"}, + {file = "Pillow-8.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b052a619a8bfcf26bd8b3f48f45283f9e977890263e4571f2393ed8898d331b"}, + {file = "Pillow-8.4.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:493cb4e415f44cd601fcec11c99836f707bb714ab03f5ed46ac25713baf0ff20"}, + {file = "Pillow-8.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8831cb7332eda5dc89b21a7bce7ef6ad305548820595033a4b03cf3091235ed"}, + {file = "Pillow-8.4.0-cp39-cp39-win32.whl", hash = "sha256:5e9ac5f66616b87d4da618a20ab0a38324dbe88d8a39b55be8964eb520021e02"}, + {file = "Pillow-8.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:3eb1ce5f65908556c2d8685a8f0a6e989d887ec4057326f6c22b24e8a172c66b"}, + {file = "Pillow-8.4.0-pp36-pypy36_pp73-macosx_10_10_x86_64.whl", hash = "sha256:ddc4d832a0f0b4c52fff973a0d44b6c99839a9d016fe4e6a1cb8f3eea96479c2"}, + {file = "Pillow-8.4.0-pp36-pypy36_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9a3e5ddc44c14042f0844b8cf7d2cd455f6cc80fd7f5eefbe657292cf601d9ad"}, + {file = "Pillow-8.4.0-pp36-pypy36_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c70e94281588ef053ae8998039610dbd71bc509e4acbc77ab59d7d2937b10698"}, + {file = "Pillow-8.4.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:3862b7256046fcd950618ed22d1d60b842e3a40a48236a5498746f21189afbbc"}, + {file = "Pillow-8.4.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a4901622493f88b1a29bd30ec1a2f683782e57c3c16a2dbc7f2595ba01f639df"}, + {file = "Pillow-8.4.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84c471a734240653a0ec91dec0996696eea227eafe72a33bd06c92697728046b"}, + {file = "Pillow-8.4.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:244cf3b97802c34c41905d22810846802a3329ddcb93ccc432870243211c79fc"}, + {file = "Pillow-8.4.0.tar.gz", hash = "sha256:b8e2f83c56e141920c39464b852de3719dfbfb6e3c99a2d8da0edf4fb33176ed"}, ] -[package.extras] -docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"] -tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] - [[package]] name = "pkginfo" version = "1.9.6" @@ -2004,13 +2008,13 @@ files = [ [[package]] name = "platformdirs" -version = "3.8.0" +version = "3.9.1" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." optional = false python-versions = ">=3.7" files = [ - {file = "platformdirs-3.8.0-py3-none-any.whl", hash = "sha256:ca9ed98ce73076ba72e092b23d3c93ea6c4e186b3f1c3dad6edd98ff6ffcca2e"}, - {file = "platformdirs-3.8.0.tar.gz", hash = "sha256:b0cabcb11063d21a0b261d557acb0a9d2126350e63b70cdf7db6347baea456dc"}, + {file = "platformdirs-3.9.1-py3-none-any.whl", hash = "sha256:ad8291ae0ae5072f66c16945166cb11c63394c7a3ad1b1bc9828ca3162da8c2f"}, + {file = "platformdirs-3.9.1.tar.gz", hash = "sha256:1b42b450ad933e981d56e59f1b97495428c9bd60698baab9f3eb3d00d5822421"}, ] [package.extras] @@ -2034,13 +2038,13 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "prometheus-client" -version = "0.17.0" +version = "0.17.1" description = "Python client for the Prometheus monitoring system." optional = false python-versions = ">=3.6" files = [ - {file = "prometheus_client-0.17.0-py3-none-any.whl", hash = "sha256:a77b708cf083f4d1a3fb3ce5c95b4afa32b9c521ae363354a4a910204ea095ce"}, - {file = "prometheus_client-0.17.0.tar.gz", hash = "sha256:9c3b26f1535945e85b8934fb374678d263137b78ef85f305b1156c7c881cd11b"}, + {file = "prometheus_client-0.17.1-py3-none-any.whl", hash = "sha256:e537f37160f6807b8202a6fc4764cdd19bac5480ddd3e0d463c3002b34462101"}, + {file = "prometheus_client-0.17.1.tar.gz", hash = "sha256:21e674f39831ae3f8acde238afd9a27a37d0d2fb5a28ea094f0ce25d2cbf2091"}, ] [package.extras] @@ -2138,13 +2142,13 @@ plugins = ["importlib-metadata"] [[package]] name = "pymdown-extensions" -version = "10.0.1" +version = "10.1" description = "Extension pack for Python Markdown." optional = false python-versions = ">=3.7" files = [ - {file = "pymdown_extensions-10.0.1-py3-none-any.whl", hash = "sha256:ae66d84013c5d027ce055693e09a4628b67e9dec5bce05727e45b0918e36f274"}, - {file = "pymdown_extensions-10.0.1.tar.gz", hash = "sha256:b44e1093a43b8a975eae17b03c3a77aad4681b3b56fce60ce746dbef1944c8cb"}, + {file = "pymdown_extensions-10.1-py3-none-any.whl", hash = "sha256:ef25dbbae530e8f67575d222b75ff0649b1e841e22c2ae9a20bad9472c2207dc"}, + {file = "pymdown_extensions-10.1.tar.gz", hash = "sha256:508009b211373058debb8247e168de4cbcb91b1bff7b5e961b2c3e864e00b195"}, ] [package.dependencies] @@ -2153,13 +2157,13 @@ pyyaml = "*" [[package]] name = "pyparsing" -version = "3.1.0" +version = "3.0.9" description = "pyparsing module - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.6.8" files = [ - {file = "pyparsing-3.1.0-py3-none-any.whl", hash = "sha256:d554a96d1a7d3ddaf7183104485bc19fd80543ad6ac5bdb6426719d766fb06c1"}, - {file = "pyparsing-3.1.0.tar.gz", hash = "sha256:edb662d6fe322d6e990b1594b5feaeadf806803359e3d4d42f11e295e588f0ea"}, + {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"}, + {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"}, ] [package.extras] @@ -2179,42 +2183,6 @@ files = [ [package.dependencies] tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} -[[package]] -name = "pyrsistent" -version = "0.19.3" -description = "Persistent/Functional/Immutable data structures" -optional = false -python-versions = ">=3.7" -files = [ - {file = "pyrsistent-0.19.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:20460ac0ea439a3e79caa1dbd560344b64ed75e85d8703943e0b66c2a6150e4a"}, - {file = "pyrsistent-0.19.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c18264cb84b5e68e7085a43723f9e4c1fd1d935ab240ce02c0324a8e01ccb64"}, - {file = "pyrsistent-0.19.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4b774f9288dda8d425adb6544e5903f1fb6c273ab3128a355c6b972b7df39dcf"}, - {file = "pyrsistent-0.19.3-cp310-cp310-win32.whl", hash = "sha256:5a474fb80f5e0d6c9394d8db0fc19e90fa540b82ee52dba7d246a7791712f74a"}, - {file = "pyrsistent-0.19.3-cp310-cp310-win_amd64.whl", hash = "sha256:49c32f216c17148695ca0e02a5c521e28a4ee6c5089f97e34fe24163113722da"}, - {file = "pyrsistent-0.19.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f0774bf48631f3a20471dd7c5989657b639fd2d285b861237ea9e82c36a415a9"}, - {file = "pyrsistent-0.19.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab2204234c0ecd8b9368dbd6a53e83c3d4f3cab10ecaf6d0e772f456c442393"}, - {file = "pyrsistent-0.19.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e42296a09e83028b3476f7073fcb69ffebac0e66dbbfd1bd847d61f74db30f19"}, - {file = "pyrsistent-0.19.3-cp311-cp311-win32.whl", hash = "sha256:64220c429e42a7150f4bfd280f6f4bb2850f95956bde93c6fda1b70507af6ef3"}, - {file = "pyrsistent-0.19.3-cp311-cp311-win_amd64.whl", hash = "sha256:016ad1afadf318eb7911baa24b049909f7f3bb2c5b1ed7b6a8f21db21ea3faa8"}, - {file = "pyrsistent-0.19.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c4db1bd596fefd66b296a3d5d943c94f4fac5bcd13e99bffe2ba6a759d959a28"}, - {file = "pyrsistent-0.19.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aeda827381f5e5d65cced3024126529ddc4289d944f75e090572c77ceb19adbf"}, - {file = "pyrsistent-0.19.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:42ac0b2f44607eb92ae88609eda931a4f0dfa03038c44c772e07f43e738bcac9"}, - {file = "pyrsistent-0.19.3-cp37-cp37m-win32.whl", hash = "sha256:e8f2b814a3dc6225964fa03d8582c6e0b6650d68a232df41e3cc1b66a5d2f8d1"}, - {file = "pyrsistent-0.19.3-cp37-cp37m-win_amd64.whl", hash = "sha256:c9bb60a40a0ab9aba40a59f68214eed5a29c6274c83b2cc206a359c4a89fa41b"}, - {file = "pyrsistent-0.19.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a2471f3f8693101975b1ff85ffd19bb7ca7dd7c38f8a81701f67d6b4f97b87d8"}, - {file = "pyrsistent-0.19.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc5d149f31706762c1f8bda2e8c4f8fead6e80312e3692619a75301d3dbb819a"}, - {file = "pyrsistent-0.19.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3311cb4237a341aa52ab8448c27e3a9931e2ee09561ad150ba94e4cfd3fc888c"}, - {file = "pyrsistent-0.19.3-cp38-cp38-win32.whl", hash = "sha256:f0e7c4b2f77593871e918be000b96c8107da48444d57005b6a6bc61fb4331b2c"}, - {file = "pyrsistent-0.19.3-cp38-cp38-win_amd64.whl", hash = "sha256:c147257a92374fde8498491f53ffa8f4822cd70c0d85037e09028e478cababb7"}, - {file = "pyrsistent-0.19.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b735e538f74ec31378f5a1e3886a26d2ca6351106b4dfde376a26fc32a044edc"}, - {file = "pyrsistent-0.19.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:99abb85579e2165bd8522f0c0138864da97847875ecbd45f3e7e2af569bfc6f2"}, - {file = "pyrsistent-0.19.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a8cb235fa6d3fd7aae6a4f1429bbb1fec1577d978098da1252f0489937786f3"}, - {file = "pyrsistent-0.19.3-cp39-cp39-win32.whl", hash = "sha256:c74bed51f9b41c48366a286395c67f4e894374306b197e62810e0fdaf2364da2"}, - {file = "pyrsistent-0.19.3-cp39-cp39-win_amd64.whl", hash = "sha256:878433581fc23e906d947a6814336eee031a00e6defba224234169ae3d3d6a98"}, - {file = "pyrsistent-0.19.3-py3-none-any.whl", hash = "sha256:ccf0d6bd208f8111179f0c26fdf84ed7c3891982f2edaeae7422575f47e66b64"}, - {file = "pyrsistent-0.19.3.tar.gz", hash = "sha256:1a2994773706bbb4995c31a97bc94f1418314923bd1048c6d964837040376440"}, -] - [[package]] name = "pytest" version = "7.4.0" @@ -2298,66 +2266,65 @@ files = [ [[package]] name = "pywinpty" -version = "2.0.10" +version = "2.0.11" description = "Pseudo terminal support for Windows from Python." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pywinpty-2.0.10-cp310-none-win_amd64.whl", hash = "sha256:4c7d06ad10f6e92bc850a467f26d98f4f30e73d2fe5926536308c6ae0566bc16"}, - {file = "pywinpty-2.0.10-cp311-none-win_amd64.whl", hash = "sha256:7ffbd66310b83e42028fc9df7746118978d94fba8c1ebf15a7c1275fdd80b28a"}, - {file = "pywinpty-2.0.10-cp37-none-win_amd64.whl", hash = "sha256:38cb924f2778b5751ef91a75febd114776b3af0ae411bc667be45dd84fc881d3"}, - {file = "pywinpty-2.0.10-cp38-none-win_amd64.whl", hash = "sha256:902d79444b29ad1833b8d5c3c9aabdfd428f4f068504430df18074007c8c0de8"}, - {file = "pywinpty-2.0.10-cp39-none-win_amd64.whl", hash = "sha256:3c46aef80dd50979aff93de199e4a00a8ee033ba7a03cadf0a91fed45f0c39d7"}, - {file = "pywinpty-2.0.10.tar.gz", hash = "sha256:cdbb5694cf8c7242c2ecfaca35c545d31fa5d5814c3d67a4e628f803f680ebea"}, + {file = "pywinpty-2.0.11-cp310-none-win_amd64.whl", hash = "sha256:452f10ac9ff8ab9151aa8cea9e491a9612a12250b1899278c6a56bc184afb47f"}, + {file = "pywinpty-2.0.11-cp311-none-win_amd64.whl", hash = "sha256:6701867d42aec1239bc0fedf49a336570eb60eb886e81763db77ea2b6c533cc3"}, + {file = "pywinpty-2.0.11-cp38-none-win_amd64.whl", hash = "sha256:0ffd287751ad871141dc9724de70ea21f7fc2ff1af50861e0d232cf70739d8c4"}, + {file = "pywinpty-2.0.11-cp39-none-win_amd64.whl", hash = "sha256:e4e7f023c28ca7aa8e1313e53ba80a4d10171fe27857b7e02f99882dfe3e8638"}, + {file = "pywinpty-2.0.11.tar.gz", hash = "sha256:e244cffe29a894876e2cd251306efd0d8d64abd5ada0a46150a4a71c0b9ad5c5"}, ] [[package]] name = "pyyaml" -version = "6.0" +version = "6.0.1" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.6" files = [ - {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"}, - {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"}, - {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"}, - {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"}, - {file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"}, - {file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"}, - {file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"}, - {file = "PyYAML-6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d4b0ba9512519522b118090257be113b9468d804b19d63c71dbcf4a48fa32358"}, - {file = "PyYAML-6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:81957921f441d50af23654aa6c5e5eaf9b06aba7f0a19c18a538dc7ef291c5a1"}, - {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afa17f5bc4d1b10afd4466fd3a44dc0e245382deca5b3c353d8b757f9e3ecb8d"}, - {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dbad0e9d368bb989f4515da330b88a057617d16b6a8245084f1b05400f24609f"}, - {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:432557aa2c09802be39460360ddffd48156e30721f5e8d917f01d31694216782"}, - {file = "PyYAML-6.0-cp311-cp311-win32.whl", hash = "sha256:bfaef573a63ba8923503d27530362590ff4f576c626d86a9fed95822a8255fd7"}, - {file = "PyYAML-6.0-cp311-cp311-win_amd64.whl", hash = "sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf"}, - {file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"}, - {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"}, - {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"}, - {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"}, - {file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"}, - {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"}, - {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"}, - {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"}, - {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"}, - {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"}, - {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"}, - {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"}, - {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"}, - {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"}, - {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"}, - {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"}, - {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"}, - {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"}, - {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"}, - {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"}, - {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"}, - {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"}, - {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"}, - {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"}, - {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"}, - {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"}, + {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"}, + {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"}, + {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"}, + {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"}, + {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"}, + {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"}, + {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"}, + {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"}, + {file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"}, + {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"}, + {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"}, + {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"}, + {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"}, + {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, + {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"}, + {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"}, + {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"}, + {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd"}, + {file = "PyYAML-6.0.1-cp36-cp36m-win32.whl", hash = "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585"}, + {file = "PyYAML-6.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa"}, + {file = "PyYAML-6.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3"}, + {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27"}, + {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3"}, + {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c"}, + {file = "PyYAML-6.0.1-cp37-cp37m-win32.whl", hash = "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba"}, + {file = "PyYAML-6.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867"}, + {file = "PyYAML-6.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595"}, + {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"}, + {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"}, + {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"}, + {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"}, + {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"}, + {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"}, + {file = "PyYAML-6.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859"}, + {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"}, + {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"}, + {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"}, + {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"}, + {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"}, + {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"}, ] [[package]] @@ -2482,6 +2449,21 @@ Pygments = ">=2.5.1" [package.extras] md = ["cmarkgfm (>=0.8.0)"] +[[package]] +name = "referencing" +version = "0.29.3" +description = "JSON Referencing + Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "referencing-0.29.3-py3-none-any.whl", hash = "sha256:7e059500cac23dc5d7d11687291ab60ba1e77ccdf9739b039c1177c06304e98c"}, + {file = "referencing-0.29.3.tar.gz", hash = "sha256:ebd2f5fe533001edaca3eae6caf09de0d70b6a3c78ebe34c98d26526e6fad3aa"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +rpds-py = ">=0.7.0" + [[package]] name = "regex" version = "2023.6.3" @@ -2672,6 +2654,112 @@ typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9 [package.extras] jupyter = ["ipywidgets (>=7.5.1,<9)"] +[[package]] +name = "rpds-py" +version = "0.8.11" +description = "Python bindings to Rust's persistent data structures (rpds)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "rpds_py-0.8.11-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:2708cb3df058446c9aaee8213ad472cbf6be798fa05baf81e2b1b0b67abadfa2"}, + {file = "rpds_py-0.8.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:53467e07da630e31bcbe741616b2a006c11236e63688ad69324b8f71bf035b8b"}, + {file = "rpds_py-0.8.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e9244d1f115f29f14a261b8a03f2d8932a8dc1ff066c5b362df2d56c0e5109"}, + {file = "rpds_py-0.8.11-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e1c542d43857f75209e3f36354ad6846d143cfc0fe71886d661cd9ec5388cdef"}, + {file = "rpds_py-0.8.11-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f9763c409a2aa111fc0f7bb8cda00e2e3bcbac64830f9f529753d635d1ee8d56"}, + {file = "rpds_py-0.8.11-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f3da48aee9e0e5567a3bd23a5ee5cc9457fb60cf7af2ecb8b64317fedfc95231"}, + {file = "rpds_py-0.8.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af1a820a8046bad8e326db5a829057b2eb601127ee33360056158ef7c437460b"}, + {file = "rpds_py-0.8.11-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ea3d22795f09e8cd4c4ac5ff2fe50fa32bd01fa2b48ac5d46479082325d40680"}, + {file = "rpds_py-0.8.11-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:de5ffed29aa4461e269a7567211e730ec20eec0b47a87854639cd69fbe8c3e9f"}, + {file = "rpds_py-0.8.11-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:96628ba384dc07af9df51d8ee0828ed0118b9229d9a78c1b70198313ec621033"}, + {file = "rpds_py-0.8.11-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2a7eb90d7df5a1a268cef733d2798dca39cf63dfb2d296356cd0e938e6c2090d"}, + {file = "rpds_py-0.8.11-cp310-none-win32.whl", hash = "sha256:67768f54ee4ff5c6811d505d14d22bc5e98b04743a12ee79637e06caec4cc7db"}, + {file = "rpds_py-0.8.11-cp310-none-win_amd64.whl", hash = "sha256:bb02e326d3e925d2f22c7ea6db495b59cf81b8e0f9f841d72bc0eab7be59a08c"}, + {file = "rpds_py-0.8.11-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:05d7fba86f453e68e8c08b1db6c7462fff8f4773e190b11a2b841b090abf67ff"}, + {file = "rpds_py-0.8.11-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e47f484e7302c804fb002f8a7b9749e4a51a412449b6a39ca31ff23b889d3fc3"}, + {file = "rpds_py-0.8.11-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5e71fffd7ef3716d7df4338432dbd60ca2d81ad2830ff97ed4c6aea563f47d3"}, + {file = "rpds_py-0.8.11-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5b3ffee8a0f48cfb6670533463efd0aa529833bfb747e6c7077229e1a253a7c1"}, + {file = "rpds_py-0.8.11-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:07a87f9d4be317d567422553f3a5b54bb068f5c28e7271e04914c011c373b5f6"}, + {file = "rpds_py-0.8.11-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8c755419ba9fbcd87a62837b6388456b3684c5efc41df03ac3f4c42229e84459"}, + {file = "rpds_py-0.8.11-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59a3407643acbcf697309b3b7d346f59d9ba4527a2a02a4fc1417766a2e2af8a"}, + {file = "rpds_py-0.8.11-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4a7b21de1684a2ebbeb2fbd9b03495a9d7787305e46c6ec42c6340fc647e37d5"}, + {file = "rpds_py-0.8.11-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c988766c3076ca2360ba7b41ed4df903a810e20e84b58fd00878865558dafe6f"}, + {file = "rpds_py-0.8.11-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e835aa2c484ac5d8d1b6c2efefbbbf1bbe2f48ed8adec9c42d6f2df2eb07f93d"}, + {file = "rpds_py-0.8.11-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:99a586d7dbad835352d6c3b6c4ae56c9fdffda800c74d2986513a2c514a35c6c"}, + {file = "rpds_py-0.8.11-cp311-none-win32.whl", hash = "sha256:2ee70fa6b3151e0da19185802e8bacddc8b24d6bdac5e1c85072acae19ec734a"}, + {file = "rpds_py-0.8.11-cp311-none-win_amd64.whl", hash = "sha256:a51d5a83213c05fb975dbdedd4406c165c7657eabe92cb1f9441e881bfd17874"}, + {file = "rpds_py-0.8.11-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:43745fcd13243ba67a4617bfede75bc81c2e990cfac7581b4aa8b7f43ac16b80"}, + {file = "rpds_py-0.8.11-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a5acc515aef399ddcfb59d1e6414f8ae9fc559d8068319cad6e4154d2348ea68"}, + {file = "rpds_py-0.8.11-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:946c98e168fe2c54335915ed1d82a162257d9943e84af1e8ddc741bdfba78c23"}, + {file = "rpds_py-0.8.11-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:96d247ea2a18e2307e3fd0b3860e1bca847df534d7f4cd2fc3525eaa10c71571"}, + {file = "rpds_py-0.8.11-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e722759a66aa571c801cec3777412f1172380c5d5761637f22d920893d24d194"}, + {file = "rpds_py-0.8.11-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8e0207dc216dc04b70781c84ddaa198caff01ced30307340cc5878f69ef4bb72"}, + {file = "rpds_py-0.8.11-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ee7d4acb2cb1ccda55db9cf2087b7ed3f38175228feddd63a3c334c786e8248"}, + {file = "rpds_py-0.8.11-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d5843b827d48d16e1f0d2c8e93c62a10cda71f509b5a49947bb61fcb19d7abce"}, + {file = "rpds_py-0.8.11-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1906f35d7becb01b10b1feb0906a7c5d4634dc70ba2ef92e664c6001658d36f0"}, + {file = "rpds_py-0.8.11-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:33169a32e8996086f5270de1b51c8fc699aefd5d7a0288f747c7ffd72acc6c83"}, + {file = "rpds_py-0.8.11-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:26da604ae094924ad522a083d90cf030c9578a1b9611cdecd19d689a645d042d"}, + {file = "rpds_py-0.8.11-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:8a40d5a10a7a6ae5c379f9ac099f55eab9dac4dcfed79b34df37ad84137dc6a7"}, + {file = "rpds_py-0.8.11-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8b3b0ff70afe08d5e7a719e69bc48ae4643fa7301cdab642bddbdf014190b651"}, + {file = "rpds_py-0.8.11-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ddd2fc8b37641d7ac0c6bd085bc6c036b64337a2b7065044c5cc76e74824c36e"}, + {file = "rpds_py-0.8.11-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfb6a285c9a803540dcf3d1d4dfb99420c8ea0cf5fce89bf89abddd79b630252"}, + {file = "rpds_py-0.8.11-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:07a485449b0f4819a6aaa6d8e290841239eed2fff1e3065a45a437da597bdb14"}, + {file = "rpds_py-0.8.11-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:948ab99c751149a612a3b432d400d5f26819589598eab75e083c3e98858f13b0"}, + {file = "rpds_py-0.8.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a77de26a65ec87b2ec981b9fc50527e43238f0cc840fec3a8ba9789112a77cad"}, + {file = "rpds_py-0.8.11-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:41b8c08eef01d6183a942567e2069966d53b826abdd3076e4cabd02cf158b338"}, + {file = "rpds_py-0.8.11-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ae19845478ed4f307560b72608e723b5ea1702cb87c1c1479e372d1787203dda"}, + {file = "rpds_py-0.8.11-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:d744dfc4841022505279a7d33c19247f93570e023c15202b2c32e98f61eeaed3"}, + {file = "rpds_py-0.8.11-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:b27d5267d92b2741d4864a463ad9f1c941aa44b6f8dce420bc620946169a1cac"}, + {file = "rpds_py-0.8.11-cp38-none-win32.whl", hash = "sha256:fde3feff99b8d83708cd828efc0603e7d92e447bf01b30b72448e411645cc8e8"}, + {file = "rpds_py-0.8.11-cp38-none-win_amd64.whl", hash = "sha256:1af977101487862222be5f526cd9921a2070805acedc9b46cf4268d5dc8a915b"}, + {file = "rpds_py-0.8.11-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:b47fa4aa6cb0a7e0a09822e7f362a14afd9786d030e8485b92aa10ad13732e34"}, + {file = "rpds_py-0.8.11-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0af4dad7ffaa29ca1fd048b667a1b3db46ce1353f01d606b3d03d18649adab5a"}, + {file = "rpds_py-0.8.11-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acdd9d5f39e12a6519a38609a144ccee67d24a9991f21c64d4f92806503a3e1a"}, + {file = "rpds_py-0.8.11-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fb586379ddb3418099fce5949fae1377ecc47139aa34c450d7018ff9a995aeb7"}, + {file = "rpds_py-0.8.11-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4e1a12c4a2dc42c74981b39f35ebf8372dc78281ea7d5ded9ef91ed3e6501bce"}, + {file = "rpds_py-0.8.11-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f64fdf846e42d77e0dd4dfb90b335f01b2b35aef470b81393c71ce0dd2781eab"}, + {file = "rpds_py-0.8.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c83de7177df8d47263494c03670e3b8a8e7b99864c1123c1efb836f6c96755cc"}, + {file = "rpds_py-0.8.11-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1b5546bc4c2c0c0d71859f6db1f150634d481252b40842157aff5a082a5dd999"}, + {file = "rpds_py-0.8.11-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a1cdb85c001a021634ea326c095cc2cf08a287ae55ad1e9376be5ff6e9ab7e30"}, + {file = "rpds_py-0.8.11-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:3104cd647da83001d608165e0dc0b5747ce8ea12c96d6b83fb2c43fa68135018"}, + {file = "rpds_py-0.8.11-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:82a9ff8ec847ffba78087dfcc42e78869d7c19f89f91e838d2ad35e70b00a51f"}, + {file = "rpds_py-0.8.11-cp39-none-win32.whl", hash = "sha256:aa9308649feff2acf29057fbc7bc26cfd0482b80060375e12fe2dfae4a6c2eb8"}, + {file = "rpds_py-0.8.11-cp39-none-win_amd64.whl", hash = "sha256:6d59b7f535c6e9ce10fbdb09e31589fa5aba19e867275578087bd1a243b47b56"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:0ea0c01d22aae66b4fd3e3ead0abbe6a6bace032441c281687906ab723e7b00a"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:47aba4c789842d9e408162d483ba9fa7f681fa996607e935cbdcb3b23b16dab9"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d33d8868898bbbf8f6ae28af8659eb6b182ae1599feb3ef47237c6393366fbc9"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c63b4add6cb4dc9d2998ab523c259a30b6f1d28651b39a10e0b128abd05544b4"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4907793f6186df1ed20a828d8315bfd25376924b92bc8bf7ae27548e498bd567"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:364f70d9802ef628c13a04a6636e0bbe7f1a58c2560955da17c7117ed1ee8762"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:018b2820e01fe1bbcfb7ecb9d8e42beda2d5e8c68dddb8331085c069496ee7b4"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:96349901b73c0f21e9eee04b0422ca122772d9b7e71afe0535ce464c0fa046cf"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:aa01d4c2bfb7b6f78d0ac7e5796cdc7dcd93cb74d0f6eefa14f0ce15ffdc287c"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:45cb51ac40c48cdcaaf873a7a7cb9231e3a3f561c5cc4af6e8ab43bf7601c02a"}, + {file = "rpds_py-0.8.11-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:888f166b3feb1a19a1d616fe799ad648d1be85586cb49480e4b65c3f6b217d5a"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:18667ccf333fc615a63203be08262ce58c2bdf135c9c2fa245556f5d20d14028"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:4017d2920e8e3f936e6fc3b65e60a655c690c472901f0ff1a8f62ee21c493f19"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6616eaa330fc925f15bc796efefeb45fb262213422d1274656d062359cf707c0"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:71e47154e72eadd210b204c696b6ab65fd685ea08aabb6e434dc8060220168f3"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:be18700d55e63a7cdc9e92a5592196105b8787859f21058f7972989e9c7153a1"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1a49829d460f6b089c245de3e69b2b22c5ec783e53e70a4116b8cc3cf490047c"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f177934d33c7b649dc99663642b1a33094af3447e00eb9a1e3eebd9b02ac2158"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3d1830d31db000bec0599665349e026614676432c87aeef98cac970254d4e36f"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1b56e340ef68f12566e4094df317b1afc62e93db236916a2c653c1ace0c06d50"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:fa6f798ae72572d35eddd3bed98c91d7c74b218d4ed6ce8d729639dcb7d063af"}, + {file = "rpds_py-0.8.11-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:4b40fc5904e8053ac9e4f5b0e9af949bc276098f14a46e992ab072a3d706675a"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:760b994c3ddc68e6c5e750484e4c6a687e5b1c2f73d791834feb1ca6a9efc79c"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:b9ece08b4a0df42002ebf9f23e521c74ec924f3d1542254056efc271fe611b91"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ff2b6d317eea667260c7265977575f49116781e4fcc4973360b84aec24644e3"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fd817f2d213c6f1ee104f4805812c6e348984769f15404382ab885a9f2a9e56f"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c51adab2bb16850f4bc6ac51c7d753d3f7d08ad6005802bd31e4657873f5c94c"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d9b1a38b5f1346c19b6fc5595998435b0327426a6f54597653eb4fe24f737c6"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c42d44ed2fdf14b5ba3fc1461bc124031de59ee2750642205a55820f81c17ea"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9ec03f7f2c62fd7c8516448ded95c022d83b802a847e1d5c5da30b602f481f5e"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:be73e5592a392fcb255d1e161cdfa4e78e0f9d3a9da6d9cf1cb3a2e11d110763"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:38208701e09e77c1158b1538c687c5b0a6a894a689bbd1f6eafc5cd31a7cd59d"}, + {file = "rpds_py-0.8.11-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:444ea661de45cf0334131904d717254462d8c974d551caac795f4232920bdb47"}, + {file = "rpds_py-0.8.11.tar.gz", hash = "sha256:ef29fa64514a17bbc104693acf094e3fef5e98c2ddf58e9777f673fc6b0c5e97"}, +] + [[package]] name = "secretstorage" version = "3.3.3" @@ -3011,24 +3099,23 @@ test = ["pytest (>=6.0.0)"] [[package]] name = "zipp" -version = "3.15.0" +version = "3.16.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"}, - {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"}, + {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, + {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [extras] desktop = ["opencv-python"] -headless = ["opencv-python-headless"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.12.0" -content-hash = "69e24891a555fc7a0973d421ec9a2afcbb1229ef66e88e3ded887fd97c4c709c" +content-hash = "dd0575814152dbe4b7246af567b0dd36f06404ccafa96b5d8ead4312c9af4e0c" diff --git a/pyproject.toml b/pyproject.toml index d8203433..095e823a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,7 +36,7 @@ python = ">=3.8,<3.12.0" numpy = "^1.20.0" matplotlib = "^3.7.1" pyyaml = "^6.0" -pillow = "^10.0.0" +pillow = "^8.4.0" opencv-python = { version = "^4.8.0.74", optional = true } opencv-python-headless = "^4.8.0.74" From 950744111aa614e560bb70157b63ed52cc7e4deb Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Wed, 19 Jul 2023 22:54:39 +0200 Subject: [PATCH 46/70] fix type annotations --- supervision/metrics/detection.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 95f2c62f..8025b1d4 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -1,7 +1,9 @@ +from __future__ import annotations + from dataclasses import dataclass from typing import Callable, List, Optional, Tuple -import matplotlib +import matplotlib import matplotlib.pyplot as plt import numpy as np @@ -32,7 +34,7 @@ class ConfusionMatrix: conf_threshold: float, iou_threshold: float, classes: Optional[List[str]], - ) -> "ConfusionMatrix": + ) -> ConfusionMatrix: """ Create ConfusionMatrix from matrix. @@ -60,7 +62,7 @@ class ConfusionMatrix: classes: List[str], conf_threshold: float = 0.3, iou_threshold: float = 0.5, - ) -> "ConfusionMatrix": + ) -> ConfusionMatrix: """ Calculate confusion matrix based on predicted and ground-truth detections. @@ -219,7 +221,7 @@ class ConfusionMatrix: callback: Callable[[np.ndarray], sv.Detections], conf_threshold: float = 0.3, iou_threshold: float = 0.5, - ) -> "ConfusionMatrix": + ) -> ConfusionMatrix: """ Create confusion matrix from dataset and callback function. From abbc0e44b0e74665ad3a4781d75142eb31aa943f Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Wed, 19 Jul 2023 23:01:50 +0200 Subject: [PATCH 47/70] fixes patch --- mkdocs.yml | 2 ++ supervision/__init__.py | 1 + supervision/metrics/detection.py | 17 +++++++++-------- test/metrics/test_detection.py | 2 +- test/utils.py | 6 ++---- 5 files changed, 15 insertions(+), 13 deletions(-) diff --git a/mkdocs.yml b/mkdocs.yml index c2349df6..823a09fb 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -39,6 +39,8 @@ nav: - Polygon Zone: detection/tools/polygon_zone.md - Dataset: - Core: dataset/core.md + - Metrics: + - Detection: metrics/detection.md - Draw: - Utils: draw/utils.md - Utils: diff --git a/supervision/__init__.py b/supervision/__init__.py index 30694450..d0335281 100644 --- a/supervision/__init__.py +++ b/supervision/__init__.py @@ -23,6 +23,7 @@ from supervision.draw.color import Color, ColorPalette from supervision.draw.utils import draw_filled_rectangle, draw_polygon, draw_text from supervision.geometry.core import Point, Position, Rect from supervision.geometry.utils import get_polygon_center +from supervision.metrics.detection import ConfusionMatrix from supervision.utils.file import list_files_with_extensions from supervision.utils.image import ImageSink, crop from supervision.utils.notebook import plot_image, plot_images_grid diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 8025b1d4..38f23fc8 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -7,7 +7,8 @@ import matplotlib import matplotlib.pyplot as plt import numpy as np -import supervision as sv +from supervision.dataset.core import DetectionDataset +from supervision.detection.core import Detections from supervision.detection.utils import box_iou_batch @@ -57,8 +58,8 @@ class ConfusionMatrix: @classmethod def from_detections( cls, - predictions: List[sv.Detections], - targets: List[sv.Detections], + predictions: List[Detections], + targets: List[Detections], classes: List[str], conf_threshold: float = 0.3, iou_threshold: float = 0.5, @@ -67,7 +68,7 @@ class ConfusionMatrix: Calculate confusion matrix based on predicted and ground-truth detections. Args: - target: Detections objects from ground-truth. + targets: Detections objects from ground-truth. predictions: Detections objects predicted by the model. classes: all known classes. conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. @@ -145,8 +146,8 @@ class ConfusionMatrix: @staticmethod def _evaluate_detection_batch( - true_detections: sv.Detections, - pred_detections: sv.Detections, + true_detections: Detections, + pred_detections: Detections, num_classes: int, conf_threshold: float, iou_threshold: float, @@ -217,8 +218,8 @@ class ConfusionMatrix: @classmethod def benchmark( cls, - dataset: sv.DetectionDataset, - callback: Callable[[np.ndarray], sv.Detections], + dataset: DetectionDataset, + callback: Callable[[np.ndarray], Detections], conf_threshold: float = 0.3, iou_threshold: float = 0.5, ) -> ConfusionMatrix: diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 85cc47e8..1d3dbee6 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -5,7 +5,7 @@ from typing import Optional import numpy as np import pytest -from supervision import Detections +from supervision.detection.core import Detections from supervision.metrics.detection import ConfusionMatrix CLASSES = np.arange(80) diff --git a/test/utils.py b/test/utils.py index 800fed85..aca30b9f 100644 --- a/test/utils.py +++ b/test/utils.py @@ -2,7 +2,8 @@ from typing import Dict, List import numpy as np -from supervision import DetectionDataset, Detections +from supervision.detection.core import Detections +from supervision.dataset.core import DetectionDataset def mock_detections( @@ -60,9 +61,6 @@ def dummy_detection_dataset(): def dummy_detection_dataset_with_map_img_to_annotation(): dataset = dummy_detection_dataset() - # dataset.img2ann = { - # tuple(img): dataset.annotations[img_key] for img_key, img in dataset.images.items() - # } dataset.map_img_to_annotation = lambda img: dataset.annotations[ [k for k, v in dataset.images.items() if np.array_equal(v, img)][0] ] From 8df5c5b0c464e0f2b9fbbc71c1a7deab517ef1a0 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Wed, 19 Jul 2023 23:07:28 +0200 Subject: [PATCH 48/70] rm sans-serif from CM plot --- supervision/metrics/detection.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 38f23fc8..dcd457c0 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -264,9 +264,6 @@ class ConfusionMatrix: figsize: size of the plot. """ - matplotlib.rcParams["font.family"] = "sans-serif" - matplotlib.rcParams["font.sans-serif"] = ["Verdana"] - array = self.matrix.copy() if do_normalize: From dc1083711ad82a3ec7878b9e992d23d6fa301e0b Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Wed, 19 Jul 2023 23:13:19 +0200 Subject: [PATCH 49/70] remove ConfusionMatrix.from_matrix --- supervision/metrics/detection.py | 27 --------------------------- test/metrics/test_detection.py | 27 --------------------------- 2 files changed, 54 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index dcd457c0..269f834d 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -28,33 +28,6 @@ class ConfusionMatrix: conf_threshold: float iou_threshold: float - @classmethod - def from_matrix( - cls, - matrix, - conf_threshold: float, - iou_threshold: float, - classes: Optional[List[str]], - ) -> ConfusionMatrix: - """ - Create ConfusionMatrix from matrix. - - Args: - matrix: confusion matrix. - classes: all known classes. - conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. - iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. - """ - classes = ( - classes if classes is not None else [str(x) for x in (range(len(matrix)))] - ) - return cls( - matrix=matrix, - classes=classes, - conf_threshold=conf_threshold, - iou_threshold=iou_threshold, - ) - @classmethod def from_detections( cls, diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 1d3dbee6..c66d8c95 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -192,30 +192,3 @@ def test_benchmark(dataset, conf_threshold, iou_threshold, expected_result, exce assert result.matrix.diagonal().sum() == result.matrix.sum() assert np.array_equal(result.matrix, expected_result) - - -def test_from_matrix(): - matrix = np.array( - [ - [0, 1, 0], - [1, 4, 0], - [0, 1, 3], - ] - ) - conf_threshold = 0.3 - iou_threshold = 0.5 - classes = ["a", "b", "c"] - - result = ConfusionMatrix.from_matrix( - matrix, - conf_threshold=conf_threshold, - iou_threshold=iou_threshold, - classes=classes, - ) - - assert ( - np.array_equal(result.matrix, matrix) - and result.conf_threshold == conf_threshold - and result.iou_threshold == iou_threshold - and result.classes == classes - ) From 1b3af74756d6cd08500fc126bef8952b8ff22d34 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Wed, 19 Jul 2023 23:57:05 +0200 Subject: [PATCH 50/70] add ConfusionMatrix.from_tensors --- supervision/metrics/detection.py | 95 +++++++++++++++++++++++++++++++- 1 file changed, 94 insertions(+), 1 deletion(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 269f834d..bd5ae6a3 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -84,7 +84,100 @@ class ConfusionMatrix: >>> confusion_matrix = ConfusionMatrix.from_detections( ... predictions=predictions, - ... target=target, + ... targets=target, + ... num_classes=3 + ... ) + + >>> confusion_matrix.matrix + ... array([ + ... [0., 0., 0., 0.], + ... [0., 1., 0., 1.], + ... [0., 1., 1., 0.], + ... [1., 1., 0., 0.] + ... ]) + ``` + Source: https://github.com/SkalskiP/onemetric/blob/master/onemetric/cv/object_detection/confusion_matrix.py + """ + # TODO: add validation for inputs + + prediction_tensors = [] + target_tensors = [] + for prediction, target in zip(predictions, targets): + prediction_tensors.append( + np.concatenate( + [ + prediction.xyxy, + np.expand_dims(prediction.class_id, 1), + np.expand_dims(prediction.confidence, 1), + ], + axis=1, + ) + ) + target_tensors.append( + np.concatenate( + [target.xyxy, np.expand_dims(target.class_id, 1)], axis=1 + ) + ) + return cls.from_tensors( + predictions=predictions, + targets=targets, + classes=classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + @classmethod + def from_tensors( + cls, + predictions: List[np.ndarray], + targets: List[np.ndarray], + classes: List[str], + conf_threshold: float = 0.3, + iou_threshold: float = 0.5, + ) -> ConfusionMatrix: + """ + Calculate confusion matrix based on predicted and ground-truth detections. + + Args: + predictions: detected objects. Each element of the list describes a single image and has shape = (M, 6) where M is the number of detected objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class, conf) format. + target: ground-truth objects. Each element of the list describes a single image and has shape = (N, 5) where N is the number of ground-truth objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class) format. + classes: all known classes. + conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. + iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + + + Example: + ``` + >>> from supervision.metrics.detection import ConfusionMatrix + + >>> target = ( + ... [ + ... array( + ... [ + ... [0.0, 0.0, 3.0, 3.0, 1], + ... [2.0, 2.0, 5.0, 5.0, 1], + ... [6.0, 1.0, 8.0, 3.0, 2], + ... ] + ... ), + ... array([1.0, 1.0, 2.0, 2.0, 2]), + ... ] + ... ) + ... + >>> predictions = [ + ... array( + ... [ + ... [0.0, 0.0, 3.0, 3.0, 1, 0.9], + ... [0.1, 0.1, 3.0, 3.0, 0, 0.9], + ... [6.0, 1.0, 8.0, 3.0, 1, 0.8], + ... [1.0, 6.0, 2.0, 7.0, 1, 0.8], + ... ] + ... ), + ... array([[1.0, 1.0, 2.0, 2.0, 2, 0.8]]) + ... ] + + >>> confusion_matrix = ConfusionMatrix.from_tensors( + ... predictions=predictions, + ... targets=targets, ... num_classes=3 ... ) From d21154e882ad141afcee08e6db83fb80324764dc Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 00:21:06 +0200 Subject: [PATCH 51/70] fix _evaluate_detection_batch. use np.ndarray --- supervision/metrics/detection.py | 21 ++++++++++++--------- 1 file changed, 12 insertions(+), 9 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index bd5ae6a3..1d8c0e91 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -119,8 +119,8 @@ class ConfusionMatrix: ) ) return cls.from_tensors( - predictions=predictions, - targets=targets, + predictions=prediction_tensors, + targets=target_tensors, classes=classes, conf_threshold=conf_threshold, iou_threshold=iou_threshold, @@ -212,8 +212,8 @@ class ConfusionMatrix: @staticmethod def _evaluate_detection_batch( - true_detections: Detections, - pred_detections: Detections, + true_detections: np.ndarray, + pred_detections: np.ndarray, num_classes: int, conf_threshold: float, iou_threshold: float, @@ -228,13 +228,16 @@ class ConfusionMatrix: confusion matrix based on a single image. """ result_matrix = np.zeros((num_classes + 1, num_classes + 1)) + conf_idx = 5 + confidence = pred_detections[:, conf_idx] detection_batch_filtered = pred_detections[ - pred_detections.confidence > conf_threshold + confidence > conf_threshold ] - true_classes = true_detections.class_id - detection_classes = detection_batch_filtered.class_id - true_boxes = true_detections.xyxy - detection_boxes = detection_batch_filtered.xyxy + class_id_idx = 4 + true_classes = np.array(true_detections[:, class_id_idx], dtype=np.int16) + detection_classes = np.array(detection_batch_filtered[:, class_id_idx], dtype=np.int16) + true_boxes = true_detections[:, :class_id_idx] + detection_boxes = detection_batch_filtered[:, :class_id_idx] iou_batch = box_iou_batch( boxes_true=true_boxes, boxes_detection=detection_boxes From fccbe6baa2f1063731f177a294feddc78582077b Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 00:22:12 +0200 Subject: [PATCH 52/70] add test_from_tensors --- test/metrics/test_detection.py | 59 ++++++++++++++++++++++++++++++++-- 1 file changed, 57 insertions(+), 2 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index c66d8c95..a25c7857 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -37,6 +37,25 @@ CERTAIN_DETECTIONS = Detections( class_id=PREDICTIONS[:, 5].astype(int), ) +DETECTION_TENSORS = [ + np.concatenate( + [ + det.xyxy, + np.expand_dims(det.class_id, 1), + np.expand_dims(det.confidence, 1), + ], + axis=1, + ) + for det in [DETECTIONS] +] +CERTAIN_DETECTION_TENSORS = [ + np.concatenate( + [det.xyxy, np.expand_dims(det.class_id, 1)], + axis=1, + ) + for det in [CERTAIN_DETECTIONS] +] + IDEAL_MATCHES = np.stack( [ np.arange(len(PREDICTIONS)), @@ -108,12 +127,48 @@ def test_from_detections( assert np.array_equal(result.matrix, expected_result) +@pytest.mark.parametrize( + "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", + [ + ( + DETECTION_TENSORS, + CERTAIN_DETECTION_TENSORS, + CLASSES, + 0.3, + 0.5, + IDEAL_CONF_MATRIX, + DoesNotRaise(), + ) + ], +) +def test_from_tensors( + predictions, + targets, + classes, + conf_threshold, + iou_threshold, + expected_result: Optional[np.ndarray], + exception: Exception, +): + with exception: + result = ConfusionMatrix.from_tensors( + predictions=predictions, + targets=targets, + classes=classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + assert result.matrix.diagonal().sum() == result.matrix.sum() + assert np.array_equal(result.matrix, expected_result) + + @pytest.mark.parametrize( "predictions, targets, num_classes, conf_threshold, iou_threshold, expected_result, exception", [ ( - CERTAIN_DETECTIONS, - DETECTIONS, + DETECTION_TENSORS[0], + CERTAIN_DETECTION_TENSORS[0], NUM_CLASSES, 0.3, 0.5, From fc1e899575ee31d70eef616d4891ca0610e32fc0 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 09:17:47 +0200 Subject: [PATCH 53/70] fix failing tests (reduce threshold to 0.2) --- test/metrics/test_detection.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index a25c7857..fe51630a 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -95,10 +95,10 @@ for det in DUMMY_DET_DATASET.annotations.values(): "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", [ ( - [CERTAIN_DETECTIONS], [DETECTIONS], + [CERTAIN_DETECTIONS], CLASSES, - 0.3, + 0.2, 0.5, IDEAL_CONF_MATRIX, DoesNotRaise(), @@ -134,7 +134,7 @@ def test_from_detections( DETECTION_TENSORS, CERTAIN_DETECTION_TENSORS, CLASSES, - 0.3, + 0.2, 0.5, IDEAL_CONF_MATRIX, DoesNotRaise(), @@ -170,7 +170,7 @@ def test_from_tensors( DETECTION_TENSORS[0], CERTAIN_DETECTION_TENSORS[0], NUM_CLASSES, - 0.3, + 0.2, 0.5, IDEAL_CONF_MATRIX, DoesNotRaise(), From ac39bdd487fa45b03e71008f338c539f8c65d62e Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 09:27:29 +0200 Subject: [PATCH 54/70] add empty (preds,targets) test --- test/metrics/test_detection.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index fe51630a..ac35cdd6 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -138,7 +138,16 @@ def test_from_detections( 0.5, IDEAL_CONF_MATRIX, DoesNotRaise(), - ) + ), + ( + [], + [], + CLASSES, + 0.2, + 0.5, + create_empty_conf_matrix(NUM_CLASSES), + DoesNotRaise(), + ), ], ) def test_from_tensors( From 314454c7a717083ecd0c8a2b7253cca2fbeb2413 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 09:57:44 +0200 Subject: [PATCH 55/70] add test cases to test_from_tensors --- test/metrics/test_detection.py | 148 +++++++++++++++++++++++---------- 1 file changed, 102 insertions(+), 46 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index ac35cdd6..b3cc95a7 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -1,6 +1,6 @@ from contextlib import ExitStack as DoesNotRaise from test.utils import dummy_detection_dataset_with_map_img_to_annotation -from typing import Optional +from typing import Optional, Union import numpy as np import pytest @@ -25,6 +25,29 @@ PREDICTIONS = np.array( ], dtype=np.float32, ) +CERTAIN_PREDICTIONS = np.concatenate( + [ + PREDICTIONS[:, :4], + np.ones((len(PREDICTIONS), 1)), + ], + axis=1, +) + +TARGET_TENSORS = [ + np.array( + [ + [2254, 906, 2447, 1353, 0], + [2049, 1133, 2226, 1371, 56], + [727, 1224, 838, 1601, 39], + [808, 1214, 910, 1564, 39], + [6, 52, 1131, 2133, 72], + [299, 1225, 512, 1663, 39], + [529, 874, 645, 945, 39], + [8, 47, 1935, 2135, 72], + [2265, 813, 2328, 901, 62], + ] + ) +] DETECTIONS = Detections( xyxy=PREDICTIONS[:, :4], @@ -79,9 +102,24 @@ def update_ideal_conf_matrix(conf_matrix: np.ndarray, class_ids: np.ndarray): return conf_matrix +def worsen_ideal_conf_matrix( + conf_matrix: np.ndarray, class_ids: Union[np.ndarray, list] +): + for class_id in class_ids: + class_id = int(class_id) + conf_matrix[class_id, class_id] -= 1 + conf_matrix[class_id, 80] += 1 + return conf_matrix + + IDEAL_CONF_MATRIX = create_empty_conf_matrix(NUM_CLASSES) IDEAL_CONF_MATRIX = update_ideal_conf_matrix(IDEAL_CONF_MATRIX, PREDICTIONS[:, 5]) +GOOD_CONF_MATRIX = worsen_ideal_conf_matrix(IDEAL_CONF_MATRIX.copy(), [62, 72]) + +BAD_CONF_MATRIX = worsen_ideal_conf_matrix( + IDEAL_CONF_MATRIX.copy(), [62, 72, 72, 39, 39, 39, 39, 56] +) DUMMY_DET_DATASET = dummy_detection_dataset_with_map_img_to_annotation() DUMMY_DET_IDEAL_CONF_MATRIX = create_empty_conf_matrix(len(DUMMY_DET_DATASET.classes)) @@ -91,6 +129,69 @@ for det in DUMMY_DET_DATASET.annotations.values(): ) +@pytest.mark.parametrize( + "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", + [ + ( + DETECTION_TENSORS, + TARGET_TENSORS, + CLASSES, + 0.2, + 0.5, + IDEAL_CONF_MATRIX, + DoesNotRaise(), + ), + ( + [], + [], + CLASSES, + 0.2, + 0.5, + create_empty_conf_matrix(NUM_CLASSES), + DoesNotRaise(), + ), + ( + DETECTION_TENSORS, + TARGET_TENSORS, + CLASSES, + 0.3, + 0.5, + GOOD_CONF_MATRIX, + DoesNotRaise(), + ), + ( + DETECTION_TENSORS, + TARGET_TENSORS, + CLASSES, + 0.6, + 0.5, + BAD_CONF_MATRIX, + DoesNotRaise(), + ), + ], +) +def test_from_tensors( + predictions, + targets, + classes, + conf_threshold, + iou_threshold, + expected_result: Optional[np.ndarray], + exception: Exception, +): + with exception: + result = ConfusionMatrix.from_tensors( + predictions=predictions, + targets=targets, + classes=classes, + conf_threshold=conf_threshold, + iou_threshold=iou_threshold, + ) + + assert result.matrix.diagonal().sum() == expected_result.diagonal().sum() + assert np.array_equal(result.matrix, expected_result) + + @pytest.mark.parametrize( "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", [ @@ -127,51 +228,6 @@ def test_from_detections( assert np.array_equal(result.matrix, expected_result) -@pytest.mark.parametrize( - "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", - [ - ( - DETECTION_TENSORS, - CERTAIN_DETECTION_TENSORS, - CLASSES, - 0.2, - 0.5, - IDEAL_CONF_MATRIX, - DoesNotRaise(), - ), - ( - [], - [], - CLASSES, - 0.2, - 0.5, - create_empty_conf_matrix(NUM_CLASSES), - DoesNotRaise(), - ), - ], -) -def test_from_tensors( - predictions, - targets, - classes, - conf_threshold, - iou_threshold, - expected_result: Optional[np.ndarray], - exception: Exception, -): - with exception: - result = ConfusionMatrix.from_tensors( - predictions=predictions, - targets=targets, - classes=classes, - conf_threshold=conf_threshold, - iou_threshold=iou_threshold, - ) - - assert result.matrix.diagonal().sum() == result.matrix.sum() - assert np.array_equal(result.matrix, expected_result) - - @pytest.mark.parametrize( "predictions, targets, num_classes, conf_threshold, iou_threshold, expected_result, exception", [ From 37b72243807c919742fa1619b58e4ac32ea41100 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 10:13:58 +0200 Subject: [PATCH 56/70] black --- supervision/metrics/detection.py | 8 ++++---- test/utils.py | 10 +++++++--- 2 files changed, 11 insertions(+), 7 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 1d8c0e91..912f0ad6 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -230,12 +230,12 @@ class ConfusionMatrix: result_matrix = np.zeros((num_classes + 1, num_classes + 1)) conf_idx = 5 confidence = pred_detections[:, conf_idx] - detection_batch_filtered = pred_detections[ - confidence > conf_threshold - ] + detection_batch_filtered = pred_detections[confidence > conf_threshold] class_id_idx = 4 true_classes = np.array(true_detections[:, class_id_idx], dtype=np.int16) - detection_classes = np.array(detection_batch_filtered[:, class_id_idx], dtype=np.int16) + detection_classes = np.array( + detection_batch_filtered[:, class_id_idx], dtype=np.int16 + ) true_boxes = true_detections[:, :class_id_idx] detection_boxes = detection_batch_filtered[:, :class_id_idx] diff --git a/test/utils.py b/test/utils.py index aca30b9f..44b173f6 100644 --- a/test/utils.py +++ b/test/utils.py @@ -10,13 +10,17 @@ def mock_detections( xyxy: List[List[float]], confidence: List[float] = None, class_id: List[int] = None, - tracker_id: List[int] = None + tracker_id: List[int] = None, ) -> Detections: return Detections( xyxy=np.array(xyxy, dtype=np.float32), - confidence=confidence if confidence is None else np.array(confidence, dtype=np.float32), + confidence=confidence + if confidence is None + else np.array(confidence, dtype=np.float32), class_id=class_id if class_id is None else np.array(class_id, dtype=int), - tracker_id=tracker_id if tracker_id is None else np.array(tracker_id, dtype=int) + tracker_id=tracker_id + if tracker_id is None + else np.array(tracker_id, dtype=int), ) From fb211a6160ae4771113903a150ab1f4cd1d41634 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 10:14:06 +0200 Subject: [PATCH 57/70] add IoU tests --- test/metrics/test_detection.py | 48 ++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index b3cc95a7..b1c6286b 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -168,6 +168,54 @@ for det in DUMMY_DET_DATASET.annotations.values(): BAD_CONF_MATRIX, DoesNotRaise(), ), + ( + [np.array([ + [0.0, 0.0, 3.0, 3.0, 0, 0.9], # correct detection of [0] + [0.1, 0.1, 3.0, 3.0, 0, 0.9], # additional detection of [0] - FP + [6.0, 1.0, 8.0, 3.0, 1, 0.8], # correct detection with incorrect class + [1.0, 6.0, 2.0, 7.0, 1, 0.8], # incorrect detection - FP + [1.0, 2.0, 2.0, 4.0, 1, 0.8], # incorrect detection with low IoU - FP + ])], + [np.array([ + [0.0, 0.0, 3.0, 3.0, 0], # [0] detected + [2.0, 2.0, 5.0, 5.0, 1], # [1] undetected - FN + [6.0, 1.0, 8.0, 3.0, 2], # [2] correct detection with incorrect class + ])], + CLASSES[:3], + 0.6, + 0.5, + np.array([ + [1, 0, 0, 0], + [0, 0, 0, 1], + [0, 1, 0, 0], + [1, 2, 0, 0] + ]), + DoesNotRaise(), + ), + ( + [np.array([ + [0.0, 0.0, 3.0, 3.0, 0, 0.9], # correct detection of [0] + [0.1, 0.1, 3.0, 3.0, 0, 0.9], # additional detection of [0] - FP + [6.0, 1.0, 8.0, 3.0, 1, 0.8], # correct detection with incorrect class + [1.0, 6.0, 2.0, 7.0, 1, 0.8], # incorrect detection - FP + [1.0, 2.0, 2.0, 4.0, 1, 0.8], # incorrect detection with low IoU - FP + ])], + [np.array([ + [0.0, 0.0, 3.0, 3.0, 0], # [0] detected + [2.0, 2.0, 5.0, 5.0, 1], # [1] undetected - FN + [6.0, 1.0, 8.0, 3.0, 2], # [2] correct detection with incorrect class + ])], + CLASSES[:3], + 0.6, + 1.0, + np.array([ + [0, 0, 0, 1], + [0, 0, 0, 1], + [0, 0, 0, 1], + [2, 3, 0, 0] + ]), + DoesNotRaise(), + ), ], ) def test_from_tensors( From bc9fe6f690d4db2efda92f2c85209675a15a4b58 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 13:24:25 +0200 Subject: [PATCH 58/70] fix CM plot colors --- supervision/metrics/detection.py | 22 ++++++++++++++-------- 1 file changed, 14 insertions(+), 8 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 912f0ad6..3a9ab80a 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -228,9 +228,11 @@ class ConfusionMatrix: confusion matrix based on a single image. """ result_matrix = np.zeros((num_classes + 1, num_classes + 1)) + conf_idx = 5 confidence = pred_detections[:, conf_idx] detection_batch_filtered = pred_detections[confidence > conf_threshold] + class_id_idx = 4 true_classes = np.array(true_detections[:, class_id_idx], dtype=np.int16) detection_classes = np.array( @@ -373,14 +375,18 @@ class ConfusionMatrix: if num_ticks < 30: for i in range(array.shape[0]): for j in range(array.shape[1]): - ax.text( - j, - i, - f"{array[i, j]:.2f}" if do_normalize else f"{array[i, j]:.0f}", - ha="center", - va="center", - color="white", - ) + n_preds = array[i, j] + if not np.isnan(n_preds): + ax.text( + j, + i, + f"{n_preds:.2f}" if do_normalize else f"{n_preds:.0f}", + ha="center", + va="center", + color="black" + if n_preds < 0.5 * np.nanmax(array) + else "white", + ) if title: ax.set_title(title, fontsize=20) From 56e0b772119c5f4079a8306865cd64f36d2429a5 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 15:35:59 +0200 Subject: [PATCH 59/70] add _validate_input_tensors --- supervision/metrics/detection.py | 27 ++++++++++++++++++++++++--- 1 file changed, 24 insertions(+), 3 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 3a9ab80a..f1cd8207 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -96,9 +96,7 @@ class ConfusionMatrix: ... [1., 1., 0., 0.] ... ]) ``` - Source: https://github.com/SkalskiP/onemetric/blob/master/onemetric/cv/object_detection/confusion_matrix.py """ - # TODO: add validation for inputs prediction_tensors = [] target_tensors = [] @@ -191,7 +189,7 @@ class ConfusionMatrix: ``` Source: https://github.com/SkalskiP/onemetric/blob/master/onemetric/cv/object_detection/confusion_matrix.py """ - # TODO: add validation for inputs + cls._validate_input_tensors(predictions, targets) num_classes = len(classes) matrix = np.zeros((num_classes + 1, num_classes + 1)) @@ -210,6 +208,29 @@ class ConfusionMatrix: iou_threshold=iou_threshold, ) + @classmethod + def _validate_input_tensors(cls, predictions, targets): + """Checks for shape consistency of input tensors.""" + if len(predictions) != len(targets): + raise ValueError( + f"Number of predictions ({len(predictions)}) and targets ({len(targets)}) must be equal." + ) + if len(predictions) > 0: + if not isinstance(predictions[0], np.ndarray) or not isinstance( + targets[0], np.ndarray + ): + raise ValueError( + f"Predictions and targets must be lists of numpy arrays. Got {type(predictions[0])} and {type(targets[0])} instead." + ) + if predictions[0].shape[1] != 6: + raise ValueError( + f"Predictions must have shape (N, 6). Got {predictions[0].shape} instead." + ) + if targets[0].shape[1] != 5: + raise ValueError( + f"Targets must have shape (N, 5). Got {targets[0].shape} instead." + ) + @staticmethod def _evaluate_detection_batch( true_detections: np.ndarray, From 5cb3c603cd7d281f1b875f99d4c19cab30b0ee30 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 15:39:55 +0200 Subject: [PATCH 60/70] remove test_benchmark --- test/metrics/test_detection.py | 168 +++++++++++++++++++-------------- 1 file changed, 96 insertions(+), 72 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index b1c6286b..f646dfc5 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -121,13 +121,6 @@ BAD_CONF_MATRIX = worsen_ideal_conf_matrix( IDEAL_CONF_MATRIX.copy(), [62, 72, 72, 39, 39, 39, 39, 56] ) -DUMMY_DET_DATASET = dummy_detection_dataset_with_map_img_to_annotation() -DUMMY_DET_IDEAL_CONF_MATRIX = create_empty_conf_matrix(len(DUMMY_DET_DATASET.classes)) -for det in DUMMY_DET_DATASET.annotations.values(): - DUMMY_DET_IDEAL_CONF_MATRIX = update_ideal_conf_matrix( - DUMMY_DET_IDEAL_CONF_MATRIX, det.class_id - ) - @pytest.mark.parametrize( "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", @@ -169,51 +162,111 @@ for det in DUMMY_DET_DATASET.annotations.values(): DoesNotRaise(), ), ( - [np.array([ - [0.0, 0.0, 3.0, 3.0, 0, 0.9], # correct detection of [0] - [0.1, 0.1, 3.0, 3.0, 0, 0.9], # additional detection of [0] - FP - [6.0, 1.0, 8.0, 3.0, 1, 0.8], # correct detection with incorrect class - [1.0, 6.0, 2.0, 7.0, 1, 0.8], # incorrect detection - FP - [1.0, 2.0, 2.0, 4.0, 1, 0.8], # incorrect detection with low IoU - FP - ])], - [np.array([ - [0.0, 0.0, 3.0, 3.0, 0], # [0] detected - [2.0, 2.0, 5.0, 5.0, 1], # [1] undetected - FN - [6.0, 1.0, 8.0, 3.0, 2], # [2] correct detection with incorrect class - ])], + [ + np.array( + [ + [0.0, 0.0, 3.0, 3.0, 0, 0.9], # correct detection of [0] + [ + 0.1, + 0.1, + 3.0, + 3.0, + 0, + 0.9, + ], # additional detection of [0] - FP + [ + 6.0, + 1.0, + 8.0, + 3.0, + 1, + 0.8, + ], # correct detection with incorrect class + [1.0, 6.0, 2.0, 7.0, 1, 0.8], # incorrect detection - FP + [ + 1.0, + 2.0, + 2.0, + 4.0, + 1, + 0.8, + ], # incorrect detection with low IoU - FP + ] + ) + ], + [ + np.array( + [ + [0.0, 0.0, 3.0, 3.0, 0], # [0] detected + [2.0, 2.0, 5.0, 5.0, 1], # [1] undetected - FN + [ + 6.0, + 1.0, + 8.0, + 3.0, + 2, + ], # [2] correct detection with incorrect class + ] + ) + ], CLASSES[:3], 0.6, 0.5, - np.array([ - [1, 0, 0, 0], - [0, 0, 0, 1], - [0, 1, 0, 0], - [1, 2, 0, 0] - ]), + np.array([[1, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [1, 2, 0, 0]]), DoesNotRaise(), ), ( - [np.array([ - [0.0, 0.0, 3.0, 3.0, 0, 0.9], # correct detection of [0] - [0.1, 0.1, 3.0, 3.0, 0, 0.9], # additional detection of [0] - FP - [6.0, 1.0, 8.0, 3.0, 1, 0.8], # correct detection with incorrect class - [1.0, 6.0, 2.0, 7.0, 1, 0.8], # incorrect detection - FP - [1.0, 2.0, 2.0, 4.0, 1, 0.8], # incorrect detection with low IoU - FP - ])], - [np.array([ - [0.0, 0.0, 3.0, 3.0, 0], # [0] detected - [2.0, 2.0, 5.0, 5.0, 1], # [1] undetected - FN - [6.0, 1.0, 8.0, 3.0, 2], # [2] correct detection with incorrect class - ])], + [ + np.array( + [ + [0.0, 0.0, 3.0, 3.0, 0, 0.9], # correct detection of [0] + [ + 0.1, + 0.1, + 3.0, + 3.0, + 0, + 0.9, + ], # additional detection of [0] - FP + [ + 6.0, + 1.0, + 8.0, + 3.0, + 1, + 0.8, + ], # correct detection with incorrect class + [1.0, 6.0, 2.0, 7.0, 1, 0.8], # incorrect detection - FP + [ + 1.0, + 2.0, + 2.0, + 4.0, + 1, + 0.8, + ], # incorrect detection with low IoU - FP + ] + ) + ], + [ + np.array( + [ + [0.0, 0.0, 3.0, 3.0, 0], # [0] detected + [2.0, 2.0, 5.0, 5.0, 1], # [1] undetected - FN + [ + 6.0, + 1.0, + 8.0, + 3.0, + 2, + ], # [2] correct detection with incorrect class + ] + ) + ], CLASSES[:3], 0.6, 1.0, - np.array([ - [0, 0, 0, 1], - [0, 0, 0, 1], - [0, 0, 0, 1], - [2, 3, 0, 0] - ]), + np.array([[0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 0, 1], [2, 3, 0, 0]]), DoesNotRaise(), ), ], @@ -331,32 +384,3 @@ def test_drop_extra_matches( result = ConfusionMatrix._drop_extra_matches(matches) assert np.array_equal(result, expected_result) - - -@pytest.mark.parametrize( - "dataset, conf_threshold, iou_threshold, expected_result, exception", - [ - ( - DUMMY_DET_DATASET, - 0.3, - 0.5, - DUMMY_DET_IDEAL_CONF_MATRIX, - DoesNotRaise(), - ) - ], -) -def test_benchmark(dataset, conf_threshold, iou_threshold, expected_result, exception): - with exception: - - def callback(img): - return dataset.map_img_to_annotation(img) - - result = ConfusionMatrix.benchmark( - dataset=dataset, - callback=callback, - conf_threshold=conf_threshold, - iou_threshold=iou_threshold, - ) - - assert result.matrix.diagonal().sum() == result.matrix.sum() - assert np.array_equal(result.matrix, expected_result) From ae55e9c908e3eeeaf2562c7a5c9f9070dc5411f6 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 15:48:08 +0200 Subject: [PATCH 61/70] add test_convert_detections_to_tensor --- test/metrics/test_detection.py | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index f646dfc5..8fcd9482 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -122,6 +122,29 @@ BAD_CONF_MATRIX = worsen_ideal_conf_matrix( ) +@pytest.mark.parametrize( + "detections, exception", + [ + ( + DETECTIONS, + DoesNotRaise(), + ) + ], +) +def test_convert_detections_to_tensor( + detections, + exception: Exception, +): + with exception: + result = ConfusionMatrix.convert_detections_to_tensor( + detections=detections, + ) + + assert np.array_equal(result[:, :4], detections.xyxy) + assert np.array_equal(result[:, 4], detections.class_id) + assert np.array_equal(result[:, 5], detections.confidence) + + @pytest.mark.parametrize( "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", [ From 8d131ad3e8dc14d5c850ff52d6208372df3bcaae Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 15:48:23 +0200 Subject: [PATCH 62/70] add convert_detections_to_tensor --- supervision/metrics/detection.py | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index f1cd8207..a8aa5f14 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -101,21 +101,8 @@ class ConfusionMatrix: prediction_tensors = [] target_tensors = [] for prediction, target in zip(predictions, targets): - prediction_tensors.append( - np.concatenate( - [ - prediction.xyxy, - np.expand_dims(prediction.class_id, 1), - np.expand_dims(prediction.confidence, 1), - ], - axis=1, - ) - ) - target_tensors.append( - np.concatenate( - [target.xyxy, np.expand_dims(target.class_id, 1)], axis=1 - ) - ) + prediction_tensors.append(cls.convert_detections_to_tensor(prediction)) + target_tensors.append(cls.convert_detections_to_tensor(target)) return cls.from_tensors( predictions=prediction_tensors, targets=target_tensors, @@ -124,6 +111,17 @@ class ConfusionMatrix: iou_threshold=iou_threshold, ) + @classmethod + def convert_detections_to_tensor(cls, detections: Detections) -> np.ndarray: + arrays_to_concat = [detections.xyxy, np.expand_dims(detections.class_id, 1)] + if detections.confidence is not None: + arrays_to_concat.append(np.expand_dims(detections.confidence, 1)) + + return np.concatenate( + arrays_to_concat, + axis=1, + ) + @classmethod def from_tensors( cls, From 6016338a4fa83631c13cbdabbaa73f05dec06bd1 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 15:48:38 +0200 Subject: [PATCH 63/70] remove test_from_detections --- test/metrics/test_detection.py | 36 ---------------------------------- 1 file changed, 36 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 8fcd9482..fc530217 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -316,42 +316,6 @@ def test_from_tensors( assert np.array_equal(result.matrix, expected_result) -@pytest.mark.parametrize( - "predictions, targets, classes, conf_threshold, iou_threshold, expected_result, exception", - [ - ( - [DETECTIONS], - [CERTAIN_DETECTIONS], - CLASSES, - 0.2, - 0.5, - IDEAL_CONF_MATRIX, - DoesNotRaise(), - ) - ], -) -def test_from_detections( - predictions, - targets, - classes, - conf_threshold, - iou_threshold, - expected_result: Optional[np.ndarray], - exception: Exception, -): - with exception: - result = ConfusionMatrix.from_detections( - predictions=predictions, - targets=targets, - classes=classes, - conf_threshold=conf_threshold, - iou_threshold=iou_threshold, - ) - - assert result.matrix.diagonal().sum() == result.matrix.sum() - assert np.array_equal(result.matrix, expected_result) - - @pytest.mark.parametrize( "predictions, targets, num_classes, conf_threshold, iou_threshold, expected_result, exception", [ From 7a782b1ac3153dc413444143ec9a4e7ea0c22448 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Thu, 20 Jul 2023 15:59:50 +0200 Subject: [PATCH 64/70] cleanup test_detection --- test/metrics/test_detection.py | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index fc530217..31ba20de 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -25,13 +25,6 @@ PREDICTIONS = np.array( ], dtype=np.float32, ) -CERTAIN_PREDICTIONS = np.concatenate( - [ - PREDICTIONS[:, :4], - np.ones((len(PREDICTIONS), 1)), - ], - axis=1, -) TARGET_TENSORS = [ np.array( @@ -56,7 +49,7 @@ DETECTIONS = Detections( ) CERTAIN_DETECTIONS = Detections( xyxy=PREDICTIONS[:, :4], - confidence=np.ones_like(PREDICTIONS[:, 4]), + confidence=np.ones(len(PREDICTIONS)), class_id=PREDICTIONS[:, 5].astype(int), ) @@ -73,10 +66,14 @@ DETECTION_TENSORS = [ ] CERTAIN_DETECTION_TENSORS = [ np.concatenate( - [det.xyxy, np.expand_dims(det.class_id, 1)], + [ + det.xyxy, + np.expand_dims(det.class_id, 1), + np.ones((len(det), 1)), + ], axis=1, ) - for det in [CERTAIN_DETECTIONS] + for det in [DETECTIONS] ] IDEAL_MATCHES = np.stack( From 3f55e7a79a8c889aab0e9137b21710d3ab1d2c59 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 21 Jul 2023 11:42:50 +0200 Subject: [PATCH 65/70] updates patch --- supervision/metrics/detection.py | 46 ++++++++++++++++++-------------- test/metrics/test_detection.py | 7 +++-- 2 files changed, 29 insertions(+), 24 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index a8aa5f14..bdfcfb75 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -49,8 +49,8 @@ class ConfusionMatrix: Example: - ``` - >>> from supervision.metrics.detection import ConfusionMatrix + ```python + >>> import supervision as sv >>> target = [ ... Detections(xyxy=array([ @@ -82,7 +82,7 @@ class ConfusionMatrix: ... ) ... ] - >>> confusion_matrix = ConfusionMatrix.from_detections( + >>> confusion_matrix = sv.ConfusionMatrix.from_detections( ... predictions=predictions, ... targets=target, ... num_classes=3 @@ -136,15 +136,15 @@ class ConfusionMatrix: Args: predictions: detected objects. Each element of the list describes a single image and has shape = (M, 6) where M is the number of detected objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class, conf) format. - target: ground-truth objects. Each element of the list describes a single image and has shape = (N, 5) where N is the number of ground-truth objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class) format. + targets: ground-truth objects. Each element of the list describes a single image and has shape = (N, 5) where N is the number of ground-truth objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class) format. classes: all known classes. conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. Example: - ``` - >>> from supervision.metrics.detection import ConfusionMatrix + ```python + >>> import supervision as sv >>> target = ( ... [ @@ -171,7 +171,7 @@ class ConfusionMatrix: ... array([[1.0, 1.0, 2.0, 2.0, 2, 0.8]]) ... ] - >>> confusion_matrix = ConfusionMatrix.from_tensors( + >>> confusion_matrix = sv.ConfusionMatrix.from_tensors( ... predictions=predictions, ... targets=targets, ... num_classes=3 @@ -192,9 +192,9 @@ class ConfusionMatrix: num_classes = len(classes) matrix = np.zeros((num_classes + 1, num_classes + 1)) for true_batch, detection_batch in zip(targets, predictions): - matrix += ConfusionMatrix._evaluate_detection_batch( - true_detections=true_batch, - pred_detections=detection_batch, + matrix += cls.evaluate_detection_batch( + predictions=detection_batch, + targets=true_batch, num_classes=num_classes, conf_threshold=conf_threshold, iou_threshold=iou_threshold, @@ -207,7 +207,9 @@ class ConfusionMatrix: ) @classmethod - def _validate_input_tensors(cls, predictions, targets): + def _validate_input_tensors( + cls, predictions: List[np.ndarray], targets: List[np.ndarray] + ): """Checks for shape consistency of input tensors.""" if len(predictions) != len(targets): raise ValueError( @@ -230,9 +232,9 @@ class ConfusionMatrix: ) @staticmethod - def _evaluate_detection_batch( - true_detections: np.ndarray, - pred_detections: np.ndarray, + def evaluate_detection_batch( + predictions: np.ndarray, + targets: np.ndarray, num_classes: int, conf_threshold: float, iou_threshold: float, @@ -249,15 +251,15 @@ class ConfusionMatrix: result_matrix = np.zeros((num_classes + 1, num_classes + 1)) conf_idx = 5 - confidence = pred_detections[:, conf_idx] - detection_batch_filtered = pred_detections[confidence > conf_threshold] + confidence = predictions[:, conf_idx] + detection_batch_filtered = predictions[confidence > conf_threshold] class_id_idx = 4 - true_classes = np.array(true_detections[:, class_id_idx], dtype=np.int16) + true_classes = np.array(targets[:, class_id_idx], dtype=np.int16) detection_classes = np.array( detection_batch_filtered[:, class_id_idx], dtype=np.int16 ) - true_boxes = true_detections[:, :class_id_idx] + true_boxes = targets[:, :class_id_idx] detection_boxes = detection_batch_filtered[:, :class_id_idx] iou_batch = box_iou_batch( @@ -325,8 +327,12 @@ class ConfusionMatrix: predictions = [] targets = [] for img_name, img in dataset.images.items(): - predictions.append(callback(img)) - targets.append(dataset.annotations[img_name]) + pred_det = callback(img) + print(f"{pred_det.xyxy.shape[0]} detections in {img_name}") + predictions.append(pred_det) + true_det = dataset.annotations[img_name] + print(f"{true_det.xyxy.shape[0]} annotations in {img_name}") + targets.append(true_det) return cls.from_detections( predictions=predictions, targets=targets, diff --git a/test/metrics/test_detection.py b/test/metrics/test_detection.py index 31ba20de..4bd72cf4 100644 --- a/test/metrics/test_detection.py +++ b/test/metrics/test_detection.py @@ -1,5 +1,4 @@ from contextlib import ExitStack as DoesNotRaise -from test.utils import dummy_detection_dataset_with_map_img_to_annotation from typing import Optional, Union import numpy as np @@ -337,9 +336,9 @@ def test_evaluate_detection_batch( exception: Exception, ): with exception: - result = ConfusionMatrix._evaluate_detection_batch( - true_detections=targets, - pred_detections=predictions, + result = ConfusionMatrix.evaluate_detection_batch( + predictions=predictions, + targets=targets, num_classes=num_classes, conf_threshold=conf_threshold, iou_threshold=iou_threshold, From 54524a4a1ffaf0489ac09626fb07cad5b78e626a Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 21 Jul 2023 11:43:57 +0200 Subject: [PATCH 66/70] drop docstring in _drop_extra_matches --- supervision/metrics/detection.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index bdfcfb75..3089e034 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -296,10 +296,6 @@ class ConfusionMatrix: @staticmethod def _drop_extra_matches(matches: np.ndarray) -> np.ndarray: - """ - Deduplicate matches. If there are multiple matches for the same true or predicted box, - only the one with the highest IoU is kept. - """ if matches.shape[0] > 0: matches = matches[matches[:, 2].argsort()[::-1]] matches = matches[np.unique(matches[:, 1], return_index=True)[1]] From 04b7badcbed1a6780b542b88e71cb1b9c6ee3f02 Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 21 Jul 2023 11:44:28 +0200 Subject: [PATCH 67/70] remove mock detection dataset --- test/utils.py | 50 +------------------------------------------------- 1 file changed, 1 insertion(+), 49 deletions(-) diff --git a/test/utils.py b/test/utils.py index 44b173f6..20c294e5 100644 --- a/test/utils.py +++ b/test/utils.py @@ -1,9 +1,8 @@ -from typing import Dict, List +from typing import List import numpy as np from supervision.detection.core import Detections -from supervision.dataset.core import DetectionDataset def mock_detections( @@ -22,50 +21,3 @@ def mock_detections( if tracker_id is None else np.array(tracker_id, dtype=int), ) - - -def mock_detection_dataset( - images: Dict[str, np.ndarray], - annotations: Dict[str, Detections], - classes: List[str], -) -> DetectionDataset: - return DetectionDataset(classes=classes, images=images, annotations=annotations) - - -def dummy_detection_dataset(): - img_paths = ["a.png", "b.png", "c.png"] - classes = ["a", "b", "c"] - imgs = [ - np.random.randint(0, 255, size=(28, 28, 3), dtype=np.uint8), - np.random.randint(0, 255, size=(28, 28, 3), dtype=np.uint8), - np.random.randint(0, 255, size=(28, 28, 3), dtype=np.uint8), - ] - detections = [ - mock_detections( - xyxy=[[10, 10, 20, 20], [20, 20, 25, 25]], - class_id=[0, 1], - confidence=np.ones(2), - ), - mock_detections( - xyxy=[[10, 10, 20, 20], [20, 20, 25, 25]], - class_id=[2, 1], - confidence=np.ones(2), - ), - mock_detections( - xyxy=[[10, 10, 20, 20], [20, 20, 25, 25], [10, 10, 15, 15]], - class_id=[0, 2, 2], - confidence=np.ones(3), - ), - ] - annotations = dict(zip(img_paths, detections)) - images = dict(zip(img_paths, imgs)) - dataset = mock_detection_dataset(images, annotations, classes) - return dataset - - -def dummy_detection_dataset_with_map_img_to_annotation(): - dataset = dummy_detection_dataset() - dataset.map_img_to_annotation = lambda img: dataset.annotations[ - [k for k, v in dataset.images.items() if np.array_equal(v, img)][0] - ] - return dataset From 4b38634c6365e6f7465fd648fbf1c70ec6884a9a Mon Sep 17 00:00:00 2001 From: kirilllzaitsev Date: Fri, 21 Jul 2023 12:34:43 +0200 Subject: [PATCH 68/70] add comments to _drop_extra_matches --- supervision/metrics/detection.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index 3089e034..fba49dfa 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -297,7 +297,10 @@ class ConfusionMatrix: @staticmethod def _drop_extra_matches(matches: np.ndarray) -> np.ndarray: if matches.shape[0] > 0: + # sort by IoU matches = matches[matches[:, 2].argsort()[::-1]] + # If there are multiple matches for the same true or predicted box, + # only the one with the highest IoU is kept. matches = matches[np.unique(matches[:, 1], return_index=True)[1]] matches = matches[matches[:, 2].argsort()[::-1]] matches = matches[np.unique(matches[:, 0], return_index=True)[1]] From 5f432fbc932a319906bbfbc1fd951d7c1482b284 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Fri, 21 Jul 2023 14:45:10 +0300 Subject: [PATCH 69/70] =?UTF-8?q?chore:=20=E2=9C=A8=20update=20github=20ac?= =?UTF-8?q?tion=20versions=20(actions/checkout@v3,=20actions/setup-python@?= =?UTF-8?q?v4)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- .github/workflows/docs.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 16d41246..67553beb 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -9,10 +9,10 @@ jobs: deploy: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 - - uses: actions/setup-python@v2 + - uses: actions/checkout@v3 + - uses: actions/setup-python@v4 with: python-version: 3.x - run: pip install mkdocs-material - run: pip install "mkdocstrings[python]" - - run: mkdocs gh-deploy --force \ No newline at end of file + - run: mkdocs gh-deploy --force From 3d074fa213f00cefc044afe3d44435f00c39d231 Mon Sep 17 00:00:00 2001 From: SkalskiP Date: Fri, 21 Jul 2023 19:51:19 +0200 Subject: [PATCH 70/70] =?UTF-8?q?=F0=9F=A7=AE=20Confusion=20Matrix=20docs?= =?UTF-8?q?=20update?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/metrics/detection.md | 5 + mkdocs.yml | 2 +- supervision/__init__.py | 1 + supervision/metrics/detection.py | 278 +++++++++++++++++-------------- test/dataset/test_core.py | 1 - 5 files changed, 156 insertions(+), 131 deletions(-) diff --git a/docs/metrics/detection.md b/docs/metrics/detection.md index d0fa4615..9e784464 100644 --- a/docs/metrics/detection.md +++ b/docs/metrics/detection.md @@ -1,3 +1,8 @@ +!!! warning + + Evaluation API is still fluid and may change. If you use Evaluation API in your project until further notice, freeze the + `supervision` version in your `requirements.txt` or `setup.py`. + ## ConfusionMatrix :::supervision.metrics.detection.ConfusionMatrix diff --git a/mkdocs.yml b/mkdocs.yml index 823a09fb..dd41adc9 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -40,7 +40,7 @@ nav: - Dataset: - Core: dataset/core.md - Metrics: - - Detection: metrics/detection.md + - Detection Models: metrics/detection.md - Draw: - Utils: draw/utils.md - Utils: diff --git a/supervision/__init__.py b/supervision/__init__.py index 321c5ae5..76cdde90 100644 --- a/supervision/__init__.py +++ b/supervision/__init__.py @@ -1,4 +1,5 @@ import importlib.metadata as importlib_metadata + __version__ = importlib_metadata.version(__package__) diff --git a/supervision/metrics/detection.py b/supervision/metrics/detection.py index fba49dfa..d0e85e63 100644 --- a/supervision/metrics/detection.py +++ b/supervision/metrics/detection.py @@ -15,12 +15,13 @@ from supervision.detection.utils import box_iou_batch @dataclass class ConfusionMatrix: """ - Data class containing information about classification results in form of a confusion matrix. + Confusion matrix for object detection tasks. + Attributes: - matrix: An array of shape (len(classes) + 1, len(classes) + 1) containing the number of TP, FP, FN and TN for each class. - classes: all known class names. - conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded from the matrix. - iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + matrix (np.ndarray): An 2D `np.ndarray` of shape `(len(classes) + 1, len(classes) + 1)` containing the number of `TP`, `FP`, `FN` and `TN` for each class. + classes (List[str]): Model class names. + conf_threshold (float): Detection confidence threshold between `0` and `1`. Detections with lower confidence will be excluded from the matrix. + iou_threshold (float): Detection IoU threshold between `0` and `1`. Detections with lower IoU will be classified as `FP`. """ matrix: np.ndarray @@ -41,61 +42,43 @@ class ConfusionMatrix: Calculate confusion matrix based on predicted and ground-truth detections. Args: - targets: Detections objects from ground-truth. - predictions: Detections objects predicted by the model. - classes: all known classes. - conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. - iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + targets (List[Detections]): Detections objects from ground-truth. + predictions (List[Detections]): Detections objects predicted by the model. + classes (List[str]): Model class names. + conf_threshold (float): Detection confidence threshold between `0` and `1`. Detections with lower confidence will be excluded. + iou_threshold (float): Detection IoU threshold between `0` and `1`. Detections with lower IoU will be classified as `FP`. + Returns: + ConfusionMatrix: New instance of ConfusionMatrix. Example: - ```python - >>> import supervision as sv + ```python + >>> import supervision as sv - >>> target = [ - ... Detections(xyxy=array([ - ... [ 0.0, 0.0, 3.0, 3.0 ], - ... [ 2.0, 2.0, 5.0, 5.0 ], - ... [ 6.0, 1.0, 8.0, 3.0 ], - ... ]), confidence=array([ 1.0, 1.0, 1.0, 1.0 ]), class_id=array([1, 1, 2])), - ... Detections(xyxy=array([ - ... [ 1.0, 1.0, 2.0, 2.0 ], - ... ]), confidence=array([ 1.0 ]), class_id=array([2])) - ... ] - >>> predictions = [ - ... Detections( - ... xyxy=array([ - ... [ 0.0, 0.0, 3.0, 3.0 ], - ... [ 0.1, 0.1, 3.0, 3.0 ], - ... [ 6.0, 1.0, 8.0, 3.0 ], - ... [ 1.0, 6.0, 2.0, 7.0 ], - ... ]), - ... confidence=array([ 0.9, 0.9, 0.8, 0.8 ]), - ... class_id=array([1, 0, 1, 1]) - ... ), - ... Detections( - ... xyxy=array([ - ... [ 1.0, 1.0, 2.0, 2.0 ] - ... ]), - ... confidence=array([ 0.8 ]), - ... class_id=array([2]) - ... ) - ... ] + >>> targets = [ + ... sv.Detections(...), + ... sv.Detections(...) + ... ] - >>> confusion_matrix = sv.ConfusionMatrix.from_detections( - ... predictions=predictions, - ... targets=target, - ... num_classes=3 - ... ) + >>> predictions = [ + ... sv.Detections(...), + ... sv.Detections(...) + ... ] - >>> confusion_matrix.matrix - ... array([ - ... [0., 0., 0., 0.], - ... [0., 1., 0., 1.], - ... [0., 1., 1., 0.], - ... [1., 1., 0., 0.] - ... ]) - ``` + >>> confusion_matrix = sv.ConfusionMatrix.from_detections( + ... predictions=predictions, + ... targets=target, + ... classes=['person', ...] + ... ) + + >>> confusion_matrix.matrix + array([ + [0., 0., 0., 0.], + [0., 1., 0., 1.], + [0., 1., 1., 0.], + [1., 1., 0., 0.] + ]) + ``` """ prediction_tensors = [] @@ -135,57 +118,58 @@ class ConfusionMatrix: Calculate confusion matrix based on predicted and ground-truth detections. Args: - predictions: detected objects. Each element of the list describes a single image and has shape = (M, 6) where M is the number of detected objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class, conf) format. - targets: ground-truth objects. Each element of the list describes a single image and has shape = (N, 5) where N is the number of ground-truth objects. Each row is expected to be in (x_min, y_min, x_max, y_max, class) format. - classes: all known classes. - conf_threshold: detection confidence threshold between 0 and 1. Detections with lower confidence will be excluded. - iou_threshold: detection iou threshold between 0 and 1. Detections with lower iou will be classified as FP. + predictions (List[np.ndarray]): Each element of the list describes a single image and has `shape = (M, 6)` where `M` is the number of detected objects. Each row is expected to be in `(x_min, y_min, x_max, y_max, class, conf)` format. + targets (List[np.ndarray]): Each element of the list describes a single image and has `shape = (N, 5)` where `N` is the number of ground-truth objects. Each row is expected to be in `(x_min, y_min, x_max, y_max, class)` format. + classes (List[str]): Model class names. + conf_threshold (float): Detection confidence threshold between `0` and `1`. Detections with lower confidence will be excluded. + iou_threshold (float): Detection iou threshold between `0` and `1`. Detections with lower iou will be classified as `FP`. + Returns: + ConfusionMatrix: New instance of ConfusionMatrix. Example: - ```python - >>> import supervision as sv + ```python + >>> import supervision as sv - >>> target = ( - ... [ - ... array( - ... [ - ... [0.0, 0.0, 3.0, 3.0, 1], - ... [2.0, 2.0, 5.0, 5.0, 1], - ... [6.0, 1.0, 8.0, 3.0, 2], - ... ] - ... ), - ... array([1.0, 1.0, 2.0, 2.0, 2]), - ... ] - ... ) - ... - >>> predictions = [ - ... array( - ... [ - ... [0.0, 0.0, 3.0, 3.0, 1, 0.9], - ... [0.1, 0.1, 3.0, 3.0, 0, 0.9], - ... [6.0, 1.0, 8.0, 3.0, 1, 0.8], - ... [1.0, 6.0, 2.0, 7.0, 1, 0.8], - ... ] - ... ), - ... array([[1.0, 1.0, 2.0, 2.0, 2, 0.8]]) - ... ] + >>> targets = ( + ... [ + ... array( + ... [ + ... [0.0, 0.0, 3.0, 3.0, 1], + ... [2.0, 2.0, 5.0, 5.0, 1], + ... [6.0, 1.0, 8.0, 3.0, 2], + ... ] + ... ), + ... array([1.0, 1.0, 2.0, 2.0, 2]), + ... ] + ... ) - >>> confusion_matrix = sv.ConfusionMatrix.from_tensors( - ... predictions=predictions, - ... targets=targets, - ... num_classes=3 - ... ) + >>> predictions = [ + ... array( + ... [ + ... [0.0, 0.0, 3.0, 3.0, 1, 0.9], + ... [0.1, 0.1, 3.0, 3.0, 0, 0.9], + ... [6.0, 1.0, 8.0, 3.0, 1, 0.8], + ... [1.0, 6.0, 2.0, 7.0, 1, 0.8], + ... ] + ... ), + ... array([[1.0, 1.0, 2.0, 2.0, 2, 0.8]]) + ... ] - >>> confusion_matrix.matrix - ... array([ - ... [0., 0., 0., 0.], - ... [0., 1., 0., 1.], - ... [0., 1., 1., 0.], - ... [1., 1., 0., 0.] - ... ]) - ``` - Source: https://github.com/SkalskiP/onemetric/blob/master/onemetric/cv/object_detection/confusion_matrix.py + >>> confusion_matrix = sv.ConfusionMatrix.from_tensors( + ... predictions=predictions, + ... targets=targets, + ... classes=['person', ...] + ... ) + + >>> confusion_matrix.matrix + array([ + [0., 0., 0., 0.], + [0., 1., 0., 1.], + [0., 1., 1., 0.], + [1., 1., 0., 0.] + ]) + ``` """ cls._validate_input_tensors(predictions, targets) @@ -210,7 +194,9 @@ class ConfusionMatrix: def _validate_input_tensors( cls, predictions: List[np.ndarray], targets: List[np.ndarray] ): - """Checks for shape consistency of input tensors.""" + """ + Checks for shape consistency of input tensors. + """ if len(predictions) != len(targets): raise ValueError( f"Number of predictions ({len(predictions)}) and targets ({len(targets)}) must be equal." @@ -243,10 +229,14 @@ class ConfusionMatrix: Calculate confusion matrix for a batch of detections for a single image. Args: - See ConfusionMatrix.from_detections + predictions (List[np.ndarray]): Each element of the list describes a single image and has `shape = (M, 6)` where `M` is the number of detected objects. Each row is expected to be in `(x_min, y_min, x_max, y_max, class, conf)` format. + targets (List[np.ndarray]): Each element of the list describes a single image and has `shape = (N, 5)` where `N` is the number of ground-truth objects. Each row is expected to be in `(x_min, y_min, x_max, y_max, class)` format. + num_classes (int): Number of classes. + conf_threshold (float): Detection confidence threshold between `0` and `1`. Detections with lower confidence will be excluded. + iou_threshold (float): Detection iou threshold between `0` and `1`. Detections with lower iou will be classified as `FP`. Returns: - confusion matrix based on a single image. + np.ndarray: Confusion matrix based on a single image. """ result_matrix = np.zeros((num_classes + 1, num_classes + 1)) @@ -296,11 +286,12 @@ class ConfusionMatrix: @staticmethod def _drop_extra_matches(matches: np.ndarray) -> np.ndarray: + """ + Deduplicate matches. If there are multiple matches for the same true or predicted box, + only the one with the highest IoU is kept. + """ if matches.shape[0] > 0: - # sort by IoU matches = matches[matches[:, 2].argsort()[::-1]] - # If there are multiple matches for the same true or predicted box, - # only the one with the highest IoU is kept. matches = matches[np.unique(matches[:, 1], return_index=True)[1]] matches = matches[matches[:, 2].argsort()[::-1]] matches = matches[np.unique(matches[:, 0], return_index=True)[1]] @@ -318,20 +309,46 @@ class ConfusionMatrix: Create confusion matrix from dataset and callback function. Args: - dataset: an annotated dataset. - callback: a function that takes an image as input and returns detections. - conf_threshold: see ConfusionMatrix.from_detections. - iou_threshold: see ConfusionMatrix.from_detections. + dataset (DetectionDataset): Object detection dataset used for evaluation. + callback (Callable[[np.ndarray], Detections]): Function that takes an image as input and returns Detections object. + conf_threshold (float): Detection confidence threshold between `0` and `1`. Detections with lower confidence will be excluded. + iou_threshold (float): Detection IoU threshold between `0` and `1`. Detections with lower IoU will be classified as `FP`. + + Returns: + ConfusionMatrix: New instance of ConfusionMatrix. + + Example: + ```python + >>> import supervision as sv + >>> from ultralytics import YOLO + + >>> dataset = sv.DetectionDataset.from_yolo(...) + + >>> model = YOLO(...) + >>> def callback(image: np.ndarray) -> sv.Detections: + ... result = model(image)[0] + ... return sv.Detections.from_yolov8(result) + + >>> confusion_matrix = sv.ConfusionMatrix.benchmark( + ... dataset = dataset, + ... callback = callback + ... ) + + >>> confusion_matrix.matrix + array([ + [0., 0., 0., 0.], + [0., 1., 0., 1.], + [0., 1., 1., 0.], + [1., 1., 0., 0.] + ]) + ``` """ - predictions = [] - targets = [] + predictions, targets = [], [] for img_name, img in dataset.images.items(): - pred_det = callback(img) - print(f"{pred_det.xyxy.shape[0]} detections in {img_name}") - predictions.append(pred_det) - true_det = dataset.annotations[img_name] - print(f"{true_det.xyxy.shape[0]} annotations in {img_name}") - targets.append(true_det) + predictions_batch = callback(img) + predictions.append(predictions_batch) + targets_batch = dataset.annotations[img_name] + targets.append(targets_batch) return cls.from_detections( predictions=predictions, targets=targets, @@ -344,32 +361,35 @@ class ConfusionMatrix: self, save_path: Optional[str] = None, title: Optional[str] = None, - class_names: Optional[List[str]] = None, - do_normalize: bool = True, - figsize: Tuple[int, int] = (12, 10), + classes: Optional[List[str]] = None, + normalize: bool = False, + fig_size: Tuple[int, int] = (12, 10), ) -> matplotlib.figure.Figure: """ Create confusion matrix plot and save it at selected location. Args: - save_path: save location of confusion matrix plot. - title: title displayed at the top of the confusion matrix plot. Default `None`. - class_names: custom classes to be displayed on the plot. If not provided, original classes will be used. - do_normalize: chart will display fraction of detections in a given class instead of absolute numbers. - figsize: size of the plot. + save_path (Optional[str]): Path to save the plot. If not provided, plot will be displayed. + title (Optional[str]): Title of the plot. + classes (Optional[List[str]]): List of classes to be displayed on the plot. If not provided, all classes will be displayed. + normalize (bool): If True, normalize the confusion matrix. + fig_size (Tuple[int, int]): Size of the plot. + + Returns: + matplotlib.figure.Figure: Confusion matrix plot. """ array = self.matrix.copy() - if do_normalize: + if normalize: eps = 1e-8 array = array / (array.sum(0).reshape(1, -1) + eps) array[array < 0.005] = np.nan - fig, ax = plt.subplots(figsize=figsize, tight_layout=True, facecolor="white") + fig, ax = plt.subplots(figsize=fig_size, tight_layout=True, facecolor="white") - class_names = class_names if class_names is not None else self.classes + class_names = classes if classes is not None else self.classes use_labels_for_ticks = class_names is not None and (0 < len(class_names) < 99) if use_labels_for_ticks: x_tick_labels = class_names + ["FN"] @@ -404,7 +424,7 @@ class ConfusionMatrix: ax.text( j, i, - f"{n_preds:.2f}" if do_normalize else f"{n_preds:.0f}", + f"{n_preds:.2f}" if normalize else f"{n_preds:.0f}", ha="center", va="center", color="black" diff --git a/test/dataset/test_core.py b/test/dataset/test_core.py index a6252afc..356b6270 100644 --- a/test/dataset/test_core.py +++ b/test/dataset/test_core.py @@ -172,5 +172,4 @@ def test_dataset_merge( ) -> None: with exception: result = DetectionDataset.merge(dataset_list=dataset_list) - print(result.images.keys()) assert result == expected_result