Implement learning to rank feature extraction and thresholding
This commit is contained in:
Daoud Clarke
parent
2d334074af
commit
af6a28fac3
4 changed files with 333 additions and 200 deletions
46
mwmbl/tinysearchengine/ltr.py
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46
mwmbl/tinysearchengine/ltr.py
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@ -0,0 +1,46 @@
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"""
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Learning to rank predictor
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"""
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from pandas import DataFrame, Series
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from sklearn.base import BaseEstimator, RegressorMixin, TransformerMixin
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from mwmbl.tinysearchengine.rank import get_match_features
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class ThresholdPredictor(BaseEstimator, RegressorMixin):
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def __init__(self, threshold: float, classifier: BaseEstimator):
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self.threshold = threshold
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self.classifier = classifier
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def fit(self, X, y) -> BaseEstimator:
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y_thresholded = y > self.threshold
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self.classifier.fit(X, y_thresholded)
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return self
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def predict(self, X):
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predictions = self.classifier.predict_proba(X)
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if predictions.shape[1] == 2:
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return predictions[:, 1]
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return predictions
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def get_match_features_as_series(item: Series):
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terms = item['query'].lower().split()
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last_match_char, match_length, total_possible_match_length = get_match_features(
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terms, item['title'], item['extract'], True)
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return Series({
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'last_match_char': last_match_char,
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'match_length': match_length,
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'total_possible_match_length': total_possible_match_length,
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'num_terms': len(terms),
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})
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class FeatureExtractor(BaseEstimator, TransformerMixin):
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def fit(self, X, y=None):
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return self
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def transform(self, X: DataFrame, y=None):
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return X.apply(get_match_features_as_series, axis=1)
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@ -33,7 +33,19 @@ def _score_result(terms, result: Document, is_complete: bool, max_score: float):
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domain = urlparse(result.url).netloc
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domain_score = DOMAINS.get(domain, 0.0)
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result_string = f"{result.title.strip()} {result.extract.strip()}"
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last_match_char, match_length, total_possible_match_length = get_match_features(
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terms, result.title, result.extract, is_complete)
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match_score = (match_length + 1. / last_match_char) / (total_possible_match_length + 1)
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score = 0.01 * domain_score + 0.99 * match_score
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# score = (0.1 + 0.9*match_score) * (0.1 + 0.9*(result.score / max_score))
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# score = 0.01 * match_score + 0.99 * (result.score / max_score)
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return score
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def get_match_features(terms, title, extract, is_complete):
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result_string = f"{title.strip()} {extract.strip()}"
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query_regex = _get_query_regex(terms, is_complete)
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print("Query regex", query_regex)
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matches = list(re.finditer(query_regex, result_string, flags=re.IGNORECASE))
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@ -49,11 +61,7 @@ def _score_result(terms, result: Document, is_complete: bool, max_score: float):
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seen_matches.add(value)
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total_possible_match_length = sum(len(x) for x in terms)
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match_score = (match_length + 1. / last_match_char) / (total_possible_match_length + 1)
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score = 0.01 * domain_score + 0.99 * match_score
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# score = (0.1 + 0.9*match_score) * (0.1 + 0.9*(result.score / max_score))
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# score = 0.01 * match_score + 0.99 * (result.score / max_score)
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return score
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return last_match_char, match_length, total_possible_match_length
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def _order_results(terms: list[str], results: list[Document], is_complete: bool):
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459
poetry.lock
generated
459
poetry.lock
generated
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@ -65,7 +65,7 @@ lxml = ["lxml"]
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[[package]]
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name = "blis"
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version = "0.7.5"
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version = "0.7.6"
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description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
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category = "main"
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optional = true
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@ -135,7 +135,7 @@ pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "2.0.11"
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version = "2.0.12"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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category = "main"
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optional = true
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@ -146,7 +146,7 @@ unicode_backport = ["unicodedata2"]
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[[package]]
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name = "click"
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version = "8.0.3"
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version = "8.0.4"
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description = "Composable command line interface toolkit"
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category = "main"
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optional = false
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@ -185,7 +185,6 @@ spacy = ">=3.2.0,<3.3.0"
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[package.source]
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type = "url"
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url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.2.0/en_core_web_sm-3.2.0.tar.gz"
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[[package]]
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name = "fastapi"
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version = "0.70.1"
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@ -250,6 +249,14 @@ category = "main"
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optional = true
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python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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[[package]]
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name = "joblib"
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version = "1.1.0"
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description = "Lightweight pipelining with Python functions"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "justext"
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version = "3.0.0"
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@ -310,11 +317,11 @@ source = ["Cython (>=0.29.7)"]
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[[package]]
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name = "markupsafe"
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version = "2.0.1"
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version = "2.1.1"
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description = "Safely add untrusted strings to HTML/XML markup."
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category = "main"
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optional = true
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python-versions = ">=3.6"
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python-versions = ">=3.7"
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[[package]]
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name = "mmh3"
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@ -334,11 +341,11 @@ python-versions = "*"
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[[package]]
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name = "numpy"
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version = "1.21.1"
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version = "1.22.3"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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[[package]]
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name = "packaging"
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@ -353,7 +360,7 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
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[[package]]
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name = "pandas"
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version = "1.4.0"
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version = "1.4.1"
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description = "Powerful data structures for data analysis, time series, and statistics"
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category = "main"
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optional = false
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@ -489,11 +496,11 @@ sql = ["pandas (>=0.23.2)", "pyarrow (>=1.0.0)"]
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[[package]]
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name = "pytest"
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version = "7.0.1"
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version = "7.1.1"
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description = "pytest: simple powerful testing with Python"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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python-versions = ">=3.7"
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[package.dependencies]
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atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
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@ -521,7 +528,7 @@ six = ">=1.5"
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[[package]]
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name = "pytz"
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version = "2021.3"
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version = "2022.1"
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description = "World timezone definitions, modern and historical"
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category = "main"
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optional = false
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@ -566,7 +573,7 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
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[[package]]
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name = "s3transfer"
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version = "0.5.0"
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version = "0.5.2"
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description = "An Amazon S3 Transfer Manager"
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category = "main"
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optional = true
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@ -578,6 +585,37 @@ botocore = ">=1.12.36,<2.0a.0"
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[package.extras]
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crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
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[[package]]
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name = "scikit-learn"
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version = "1.0.2"
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description = "A set of python modules for machine learning and data mining"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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joblib = ">=0.11"
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numpy = ">=1.14.6"
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scipy = ">=1.1.0"
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threadpoolctl = ">=2.0.0"
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[package.extras]
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benchmark = ["matplotlib (>=2.2.3)", "pandas (>=0.25.0)", "memory-profiler (>=0.57.0)"]
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docs = ["matplotlib (>=2.2.3)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.0.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
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examples = ["matplotlib (>=2.2.3)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)"]
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tests = ["matplotlib (>=2.2.3)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=21.6b0)", "mypy (>=0.770)", "pyamg (>=4.0.0)"]
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[[package]]
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name = "scipy"
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version = "1.8.0"
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description = "SciPy: Scientific Library for Python"
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category = "main"
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optional = false
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python-versions = ">=3.8,<3.11"
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[package.dependencies]
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numpy = ">=1.17.3,<1.25.0"
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[[package]]
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name = "six"
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version = "1.16.0"
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@ -672,7 +710,7 @@ transformers = ["spacy-transformers (>=1.1.2,<1.2.0)"]
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[[package]]
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name = "spacy-legacy"
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version = "3.0.8"
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version = "3.0.9"
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description = "Legacy registered functions for spaCy backwards compatibility"
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category = "main"
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optional = true
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@ -716,7 +754,7 @@ full = ["itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests", "gra
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[[package]]
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name = "thinc"
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version = "8.0.13"
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version = "8.0.15"
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description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
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category = "main"
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optional = true
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@ -726,7 +764,7 @@ python-versions = ">=3.6"
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blis = ">=0.4.0,<0.8.0"
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catalogue = ">=2.0.4,<2.1.0"
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cymem = ">=2.0.2,<2.1.0"
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murmurhash = ">=0.28.0,<1.1.0"
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murmurhash = ">=1.0.2,<1.1.0"
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numpy = ">=1.15.0"
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preshed = ">=3.0.2,<3.1.0"
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pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.9.0"
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@ -743,6 +781,7 @@ cuda111 = ["cupy-cuda111 (>=5.0.0b4)"]
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cuda112 = ["cupy-cuda112 (>=5.0.0b4)"]
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cuda113 = ["cupy-cuda113 (>=5.0.0b4)"]
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cuda114 = ["cupy-cuda114 (>=5.0.0b4)"]
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cuda115 = ["cupy-cuda115 (>=5.0.0b4)"]
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cuda80 = ["cupy-cuda80 (>=5.0.0b4)"]
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cuda90 = ["cupy-cuda90 (>=5.0.0b4)"]
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cuda91 = ["cupy-cuda91 (>=5.0.0b4)"]
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@ -750,7 +789,15 @@ cuda92 = ["cupy-cuda92 (>=5.0.0b4)"]
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datasets = ["ml-datasets (>=0.2.0,<0.3.0)"]
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mxnet = ["mxnet (>=1.5.1,<1.6.0)"]
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tensorflow = ["tensorflow (>=2.0.0,<2.6.0)"]
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torch = ["torch (>=1.5.0)"]
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torch = ["torch (>=1.6.0)"]
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[[package]]
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name = "threadpoolctl"
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version = "3.1.0"
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description = "threadpoolctl"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "tomli"
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@ -762,7 +809,7 @@ python-versions = ">=3.7"
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[[package]]
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name = "tqdm"
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version = "4.62.3"
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version = "4.63.0"
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description = "Fast, Extensible Progress Meter"
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category = "main"
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optional = true
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@ -795,7 +842,7 @@ test = ["shellingham (>=1.3.0,<2.0.0)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (
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[[package]]
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name = "typing-extensions"
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version = "4.0.1"
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version = "4.1.1"
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description = "Backported and Experimental Type Hints for Python 3.6+"
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category = "main"
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optional = false
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@ -811,14 +858,14 @@ python-versions = ">=3.6"
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[[package]]
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name = "urllib3"
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version = "1.26.8"
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version = "1.26.9"
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description = "HTTP library with thread-safe connection pooling, file post, and more."
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category = "main"
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optional = true
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
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[package.extras]
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brotli = ["brotlipy (>=0.6.0)"]
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brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
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secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
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socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
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@ -876,8 +923,8 @@ indexer = ["botocore", "boto3", "ujson", "warcio", "idna", "beautifulsoup4", "lx
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[metadata]
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lock-version = "1.1"
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python-versions = "^3.10"
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content-hash = "edb2d4bc50cb09ac5f7ba311d5238eb2deeab1d12f479067cc7239e3232bf6c9"
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python-versions = ">=3.10,<3.11"
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content-hash = "be01dba545a5f118cb4d1cd2726c0b9fadbba44684fcd4af2bef2e812e28da93"
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[metadata.files]
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anyio = [
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@ -901,22 +948,22 @@ beautifulsoup4 = [
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{file = "beautifulsoup4-4.10.0.tar.gz", hash = "sha256:c23ad23c521d818955a4151a67d81580319d4bf548d3d49f4223ae041ff98891"},
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]
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blis = [
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{file = "blis-0.7.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5812a7c04561ae7332cf730f57d9f82cbd12c5f86a5bfad66ee244e51d06266d"},
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{file = "blis-0.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eecfce3d8fce61dede7b0ae0dffa461c22072437b6cde85587db0c1aa75b450"},
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{file = "blis-0.7.5-cp310-cp310-win_amd64.whl", hash = "sha256:0e476931f0d5703a21c77e7f69b8ebdeeea493fc7858a86f627ac2b376a12c8d"},
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{file = "blis-0.7.5-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:5966ddf3bce84aa7bb09ce4ca059309602fa63280a5d5e5365bb2a294bd5a138"},
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{file = "blis-0.7.5-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9034dabce4e42e3a1a7b99cc6de430484c8c369e51556ee8d47a53c085de681"},
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{file = "blis-0.7.5-cp36-cp36m-win_amd64.whl", hash = "sha256:730952f74adb0fa7dde9f1bc11249d5a64f3a3a9cf7dfa23b189a4b767bdf2d0"},
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{file = "blis-0.7.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2339cb19594134775bda8b86f23a893828fc7e8d63f09ba9a15f30b2b16c966c"},
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{file = "blis-0.7.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5023781272e0b2868be2f92017aa6836557990f1ca5ba2af5e9f5a0acf04fd8a"},
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{file = "blis-0.7.5-cp37-cp37m-win_amd64.whl", hash = "sha256:65ba723821cc57eb4227eb8dd05c57fff23d97f826d4325b316cd8a63aac8d6a"},
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{file = "blis-0.7.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ad4af690c37a5953d3aea660ad89b636bfbb80ca1470995554670ca2143f0cb2"},
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||||
{file = "blis-0.7.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf11c233ea5c2d30683e7c9641c5dc4cd76ed0f64755ba3321dfb8db39feb316"},
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{file = "blis-0.7.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43789dc60d81692d5db4978d3eba1c9fa02e4d1e9eadad11000244609d924521"},
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{file = "blis-0.7.6-cp39-cp39-win_amd64.whl", hash = "sha256:6eb5553a9905bbc63eebeba4bf555bbabb47d029aaed8b0a4f0490a199dccba7"},
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{file = "blis-0.7.6.tar.gz", hash = "sha256:fe97b10f68a1c7b54c0e54beada84e18f4efb68dd40c906fb8748f5114743ec6"},
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]
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boto3 = [
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{file = "boto3-1.20.20-py3-none-any.whl", hash = "sha256:6c173ffaf0604e34d6865edf7a9a71e1b3e79bd441b8b465ca4b2d44f840806d"},
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|
|
@ -987,12 +1034,12 @@ cffi = [
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{file = "cffi-1.15.0.tar.gz", hash = "sha256:920f0d66a896c2d99f0adbb391f990a84091179542c205fa53ce5787aff87954"},
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charset-normalizer = [
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]
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click = [
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{file = "click-8.0.3.tar.gz", hash = "sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"},
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{file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"},
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colorama = [
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joblib = [
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]
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justext = [
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@ -1170,75 +1221,46 @@ lxml = [
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{file = "MarkupSafe-2.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2ef54abee730b502252bcdf31b10dacb0a416229b72c18b19e24a4509f273d26"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:4efca8f86c54b22348a5467704e3fec767b2db12fc39c6d963168ab1d3fc9135"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1f2ade76b9903f39aa442b4aadd2177decb66525062db244b35d71d0ee8599b6"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4296f2b1ce8c86a6aea78613c34bb1a672ea0e3de9c6ba08a960efe0b0a09047"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f02365d4e99430a12647f09b6cc8bab61a6564363f313126f775eb4f6ef798e"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5b6d930f030f8ed98e3e6c98ffa0652bdb82601e7a016ec2ab5d7ff23baa78d1"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-win32.whl", hash = "sha256:10f82115e21dc0dfec9ab5c0223652f7197feb168c940f3ef61563fc2d6beb74"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:693ce3f9e70a6cf7d2fb9e6c9d8b204b6b39897a2c4a1aa65728d5ac97dcc1d8"},
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{file = "MarkupSafe-2.0.1.tar.gz", hash = "sha256:594c67807fb16238b30c44bdf74f36c02cdf22d1c8cda91ef8a0ed8dabf5620a"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:86b1f75c4e7c2ac2ccdaec2b9022845dbb81880ca318bb7a0a01fbf7813e3812"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f121a1420d4e173a5d96e47e9a0c0dcff965afdf1626d28de1460815f7c4ee7a"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a49907dd8420c5685cfa064a1335b6754b74541bbb3706c259c02ed65b644b3e"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10c1bfff05d95783da83491be968e8fe789263689c02724e0c691933c52994f5"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7bd98b796e2b6553da7225aeb61f447f80a1ca64f41d83612e6139ca5213aa4"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b09bf97215625a311f669476f44b8b318b075847b49316d3e28c08e41a7a573f"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:694deca8d702d5db21ec83983ce0bb4b26a578e71fbdbd4fdcd387daa90e4d5e"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:efc1913fd2ca4f334418481c7e595c00aad186563bbc1ec76067848c7ca0a933"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-win32.whl", hash = "sha256:4a33dea2b688b3190ee12bd7cfa29d39c9ed176bda40bfa11099a3ce5d3a7ac6"},
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{file = "MarkupSafe-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:dda30ba7e87fbbb7eab1ec9f58678558fd9a6b8b853530e176eabd064da81417"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:671cd1187ed5e62818414afe79ed29da836dde67166a9fac6d435873c44fdd02"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3799351e2336dc91ea70b034983ee71cf2f9533cdff7c14c90ea126bfd95d65a"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e72591e9ecd94d7feb70c1cbd7be7b3ebea3f548870aa91e2732960fa4d57a37"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6fbf47b5d3728c6aea2abb0589b5d30459e369baa772e0f37a0320185e87c980"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d5ee4f386140395a2c818d149221149c54849dfcfcb9f1debfe07a8b8bd63f9a"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:bcb3ed405ed3222f9904899563d6fc492ff75cce56cba05e32eff40e6acbeaa3"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:e1c0b87e09fa55a220f058d1d49d3fb8df88fbfab58558f1198e08c1e1de842a"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-win32.whl", hash = "sha256:8dc1c72a69aa7e082593c4a203dcf94ddb74bb5c8a731e4e1eb68d031e8498ff"},
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{file = "MarkupSafe-2.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:97a68e6ada378df82bc9f16b800ab77cbf4b2fada0081794318520138c088e4a"},
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||||
{file = "MarkupSafe-2.1.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e8c843bbcda3a2f1e3c2ab25913c80a3c5376cd00c6e8c4a86a89a28c8dc5452"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0212a68688482dc52b2d45013df70d169f542b7394fc744c02a57374a4207003"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e576a51ad59e4bfaac456023a78f6b5e6e7651dcd383bcc3e18d06f9b55d6d1"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b9fe39a2ccc108a4accc2676e77da025ce383c108593d65cc909add5c3bd601"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:96e37a3dc86e80bf81758c152fe66dbf60ed5eca3d26305edf01892257049925"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6d0072fea50feec76a4c418096652f2c3238eaa014b2f94aeb1d56a66b41403f"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:089cf3dbf0cd6c100f02945abeb18484bd1ee57a079aefd52cffd17fba910b88"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6a074d34ee7a5ce3effbc526b7083ec9731bb3cbf921bbe1d3005d4d2bdb3a63"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-win32.whl", hash = "sha256:421be9fbf0ffe9ffd7a378aafebbf6f4602d564d34be190fc19a193232fd12b1"},
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{file = "MarkupSafe-2.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:fc7b548b17d238737688817ab67deebb30e8073c95749d55538ed473130ec0c7"},
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{file = "MarkupSafe-2.1.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e04e26803c9c3851c931eac40c695602c6295b8d432cbe78609649ad9bd2da8a"},
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{file = "MarkupSafe-2.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b87db4360013327109564f0e591bd2a3b318547bcef31b468a92ee504d07ae4f"},
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{file = "MarkupSafe-2.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:99a2a507ed3ac881b975a2976d59f38c19386d128e7a9a18b7df6fff1fd4c1d6"},
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{file = "MarkupSafe-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56442863ed2b06d19c37f94d999035e15ee982988920e12a5b4ba29b62ad1f77"},
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{file = "MarkupSafe-2.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3ce11ee3f23f79dbd06fb3d63e2f6af7b12db1d46932fe7bd8afa259a5996603"},
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||||
{file = "MarkupSafe-2.1.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:33b74d289bd2f5e527beadcaa3f401e0df0a89927c1559c8566c066fa4248ab7"},
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{file = "MarkupSafe-2.1.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:43093fb83d8343aac0b1baa75516da6092f58f41200907ef92448ecab8825135"},
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||||
{file = "MarkupSafe-2.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8e3dcf21f367459434c18e71b2a9532d96547aef8a871872a5bd69a715c15f96"},
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||||
{file = "MarkupSafe-2.1.1-cp39-cp39-win32.whl", hash = "sha256:d4306c36ca495956b6d568d276ac11fdd9c30a36f1b6eb928070dc5360b22e1c"},
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||||
{file = "MarkupSafe-2.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:46d00d6cfecdde84d40e572d63735ef81423ad31184100411e6e3388d405e247"},
|
||||
{file = "MarkupSafe-2.1.1.tar.gz", hash = "sha256:7f91197cc9e48f989d12e4e6fbc46495c446636dfc81b9ccf50bb0ec74b91d4b"},
|
||||
]
|
||||
mmh3 = [
|
||||
{file = "mmh3-3.0.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:23912dde2ad4f701926948dd8e79a0e42b000f73962806f153931f52985e1e07"},
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||||
|
|
@ -1287,61 +1309,53 @@ murmurhash = [
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|||
{file = "murmurhash-1.0.6.tar.gz", hash = "sha256:00a5252b569d3f914b5bd0bce72d2efe9c0fb91a9703556ea1b608b141c68f2d"},
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||||
]
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||||
numpy = [
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||||
{file = "numpy-1.21.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:38e8648f9449a549a7dfe8d8755a5979b45b3538520d1e735637ef28e8c2dc50"},
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{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fd7d7409fa643a91d0a05c7554dd68aa9c9bb16e186f6ccfe40d6e003156e33a"},
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{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1412aa0aec3e00bc23fbb8664d76552b4efde98fb71f60737c83efbac24112f1"},
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{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e46ceaff65609b5399163de5893d8f2a82d3c77d5e56d976c8b5fb01faa6b671"},
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{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c6a2324085dd52f96498419ba95b5777e40b6bcbc20088fddb9e8cbb58885e8e"},
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{file = "numpy-1.21.1-cp37-cp37m-win32.whl", hash = "sha256:73101b2a1fef16602696d133db402a7e7586654682244344b8329cdcbbb82172"},
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{file = "numpy-1.21.1-cp37-cp37m-win_amd64.whl", hash = "sha256:7a708a79c9a9d26904d1cca8d383bf869edf6f8e7650d85dbc77b041e8c5a0f8"},
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{file = "numpy-1.21.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:95b995d0c413f5d0428b3f880e8fe1660ff9396dcd1f9eedbc311f37b5652e16"},
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{file = "pandas-1.4.1-cp39-cp39-win32.whl", hash = "sha256:1d85d5f6be66dfd6d1d8d13b9535e342a2214260f1852654b19fa4d7b8d1218b"},
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{file = "pandas-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:3129a35d9dad1d80c234dd78f8f03141b914395d23f97cf92a366dcd19f8f8bf"},
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{file = "pandas-1.4.1.tar.gz", hash = "sha256:8db93ec98ac7cb5f8ac1420c10f5e3c43533153f253fe7fb6d891cf5aa2b80d2"},
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pathy = [
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{file = "pathy-0.6.1-py3-none-any.whl", hash = "sha256:25fd04cec6393661113086730ce69c789d121bea83ab1aa18452e8fd42faf29a"},
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|
|
@ -1451,16 +1465,16 @@ pyspark = [
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|||
{file = "pyspark-3.2.0.tar.gz", hash = "sha256:bfea06179edbfb4bc76a0f470bd3c38e12f00e1023e3ad0373558d07cff102ab"},
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pytest = [
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python-dateutil = [
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pytz = [
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{file = "pytz-2022.1-py2.py3-none-any.whl", hash = "sha256:e68985985296d9a66a881eb3193b0906246245294a881e7c8afe623866ac6a5c"},
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{file = "pytz-2022.1.tar.gz", hash = "sha256:1e760e2fe6a8163bc0b3d9a19c4f84342afa0a2affebfaa84b01b978a02ecaa7"},
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]
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pyyaml = [
|
||||
{file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
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|
|
@ -1558,8 +1572,67 @@ requests = [
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|||
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s3transfer = [
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scikit-learn = [
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||||
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||||
scipy = [
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||||
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{file = "scipy-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c17a1878d00a5dd2797ccd73623ceca9d02375328f6218ee6d921e1325e61aff"},
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{file = "scipy-1.8.0-cp39-cp39-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:723b9f878095ed994756fa4ee3060c450e2db0139c5ba248ee3f9628bd64e735"},
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{file = "scipy-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6f0cd9c0bd374ef834ee1e0f0999678d49dcc400ea6209113d81528958f97c7"},
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{file = "scipy-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3720d0124aced49f6f2198a6900304411dbbeed12f56951d7c66ebef05e3df6"},
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{file = "scipy-1.8.0-cp39-cp39-win32.whl", hash = "sha256:3d573228c10a3a8c32b9037be982e6440e411b443a6267b067cac72f690b8d56"},
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{file = "scipy-1.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:bb7088e89cd751acf66195d2f00cf009a1ea113f3019664032d9075b1e727b6c"},
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{file = "scipy-1.8.0.tar.gz", hash = "sha256:31d4f2d6b724bc9a98e527b5849b8a7e589bf1ea630c33aa563eda912c9ff0bd"},
|
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]
|
||||
six = [
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||||
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
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|
|
@ -1596,8 +1669,8 @@ spacy = [
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{file = "spacy-3.2.1.tar.gz", hash = "sha256:f6ebac511627740a8ca2b117b91ef5515c8f0b2fb117a69ebe01d010dd4fc53c"},
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spacy-legacy = [
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{file = "spacy-legacy-3.0.8.tar.gz", hash = "sha256:b4725c5c161f0685ab4fce3fc912bc68aefdb7e102ba9848e852bb5842256c2f"},
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{file = "spacy_legacy-3.0.8-py2.py3-none-any.whl", hash = "sha256:eb37a3540bb461b5fe9348d4976784f18a0e345982e41e2c5c7cd8229889e825"},
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{file = "spacy-legacy-3.0.9.tar.gz", hash = "sha256:4f7dcbc4e6c8e8cb4eadbb009f9c0a1a2a67442e0032c8d6776c9470c3759903"},
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{file = "spacy_legacy-3.0.9-py2.py3-none-any.whl", hash = "sha256:dfd58b0cc65b3596cb06f7b95e7bf4fff34668297c59eb179eb050db07b199df"},
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]
|
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spacy-loggers = [
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{file = "spacy-loggers-1.0.1.tar.gz", hash = "sha256:17d0e249b2e6c6546c49fc6561a0a685f91a8edbf24a5b2b7759ead443c74654"},
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|
|
@ -1626,38 +1699,42 @@ starlette = [
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{file = "starlette-0.16.0.tar.gz", hash = "sha256:e1904b5d0007aee24bdd3c43994be9b3b729f4f58e740200de1d623f8c3a8870"},
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thinc = [
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{file = "thinc-8.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4276b64a8cd91197f30382c0874f59fa6c94ef533150d845b2f30998aae87cc"},
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{file = "thinc-8.0.15-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0557791e73865fa81f09623dd1f9b98b6d4ab80c63fca5f141530536516aac98"},
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{file = "thinc-8.0.15-cp37-cp37m-win_amd64.whl", hash = "sha256:f9ba4e4dac98e166950e004c87a0f57b8f8796ecd0e3b6973beb6febc20257ff"},
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{file = "thinc-8.0.15-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:489521ca3cca469d67432fc30f14c7c13c17320b179bf8e362319313feaafbb7"},
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{file = "thinc-8.0.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ddda1aa1432eef8bab5c83e4cf2020f1ed891771a6dd86729f1aa6078f25f2c"},
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{file = "thinc-8.0.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ecd8eab82598b079e901f16567818dc955481326c01d84b819c3c05801b97e07"},
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{file = "thinc-8.0.15.tar.gz", hash = "sha256:2e315020da85c3791e191fbf37c4a2433f57cf322e27380da0cd4de99d96053b"},
|
||||
]
|
||||
threadpoolctl = [
|
||||
{file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
|
||||
{file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"},
|
||||
]
|
||||
tomli = [
|
||||
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
tqdm = [
|
||||
{file = "tqdm-4.62.3-py2.py3-none-any.whl", hash = "sha256:8dd278a422499cd6b727e6ae4061c40b48fce8b76d1ccbf5d34fca9b7f925b0c"},
|
||||
{file = "tqdm-4.62.3.tar.gz", hash = "sha256:d359de7217506c9851b7869f3708d8ee53ed70a1b8edbba4dbcb47442592920d"},
|
||||
{file = "tqdm-4.63.0-py2.py3-none-any.whl", hash = "sha256:e643e071046f17139dea55b880dc9b33822ce21613b4a4f5ea57f202833dbc29"},
|
||||
{file = "tqdm-4.63.0.tar.gz", hash = "sha256:1d9835ede8e394bb8c9dcbffbca02d717217113adc679236873eeaac5bc0b3cd"},
|
||||
]
|
||||
typer = [
|
||||
{file = "typer-0.4.0-py3-none-any.whl", hash = "sha256:d81169725140423d072df464cad1ff25ee154ef381aaf5b8225352ea187ca338"},
|
||||
{file = "typer-0.4.0.tar.gz", hash = "sha256:63c3aeab0549750ffe40da79a1b524f60e08a2cbc3126c520ebf2eeaf507f5dd"},
|
||||
]
|
||||
typing-extensions = [
|
||||
{file = "typing_extensions-4.0.1-py3-none-any.whl", hash = "sha256:7f001e5ac290a0c0401508864c7ec868be4e701886d5b573a9528ed3973d9d3b"},
|
||||
{file = "typing_extensions-4.0.1.tar.gz", hash = "sha256:4ca091dea149f945ec56afb48dae714f21e8692ef22a395223bcd328961b6a0e"},
|
||||
{file = "typing_extensions-4.1.1-py3-none-any.whl", hash = "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"},
|
||||
{file = "typing_extensions-4.1.1.tar.gz", hash = "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42"},
|
||||
]
|
||||
ujson = [
|
||||
{file = "ujson-4.3.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:3609e0514f6f721c6c9818b9374ec91b994e59fb193af2f924ca3f2f32009f1c"},
|
||||
|
|
@ -1706,8 +1783,8 @@ ujson = [
|
|||
{file = "ujson-4.3.0.tar.gz", hash = "sha256:baee56eca35cb5fbe02c28bd9c0936be41a96fa5c0812d9d4b7edeb5c3d568a0"},
|
||||
]
|
||||
urllib3 = [
|
||||
{file = "urllib3-1.26.8-py2.py3-none-any.whl", hash = "sha256:000ca7f471a233c2251c6c7023ee85305721bfdf18621ebff4fd17a8653427ed"},
|
||||
{file = "urllib3-1.26.8.tar.gz", hash = "sha256:0e7c33d9a63e7ddfcb86780aac87befc2fbddf46c58dbb487e0855f7ceec283c"},
|
||||
{file = "urllib3-1.26.9-py2.py3-none-any.whl", hash = "sha256:44ece4d53fb1706f667c9bd1c648f5469a2ec925fcf3a776667042d645472c14"},
|
||||
{file = "urllib3-1.26.9.tar.gz", hash = "sha256:aabaf16477806a5e1dd19aa41f8c2b7950dd3c746362d7e3223dbe6de6ac448e"},
|
||||
]
|
||||
uvicorn = [
|
||||
{file = "uvicorn-0.16.0-py3-none-any.whl", hash = "sha256:d8c839231f270adaa6d338d525e2652a0b4a5f4c2430b5c4ef6ae4d11776b0d2"},
|
||||
|
|
|
|||
|
|
@ -5,14 +5,16 @@ description = ""
|
|||
authors = ["Daoud Clarke <daoud.clarke@gmail.com>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10"
|
||||
pandas = "^1.3.4"
|
||||
python = ">=3.10,<3.11"
|
||||
pandas = "^1.3.5"
|
||||
scipy = "^1.8.0"
|
||||
scikit-learn = "^1.0.2"
|
||||
zstandard = "^0.16.0"
|
||||
mmh3 = "^3.0.0"
|
||||
fastapi = "^0.70.1"
|
||||
uvicorn = "^0.16.0"
|
||||
numpy = "==1.21.1"
|
||||
pyyaml = "==6.0"
|
||||
|
||||
# Optional dependencies do not get installed by default. Look under tool.poetry.extras section
|
||||
# to see which extras to use.
|
||||
botocore = {version= "==1.23.20", optional = true}
|
||||
|
|
|
|||
Loading…
Reference in a new issue