


import string
from math import logaa


def 				lowerCamelCase__	(      a	:   str	,  a	:   str				)    ->	int:





			"""simple docstring"""
			a__ :str						  =    document.translate(
			    str.maketrans(""	,  ""	,  string.punctuation				)				).replace("\n"	,  ""				)
			a__ :int						  =    document_without_punctuation.split(" "				)  # word tokenization
			return len([word for word in tokenize_document if word.lower() == term.lower()]				)


def 				lowerCamelCase__	(      a	:   str	,  a	:   str				)    ->	tuple[int, int]:





			"""simple docstring"""
			a__ :int						  =    corpus.lower().translate(
			    str.maketrans(""	,  ""	,  string.punctuation				)				)  # strip all punctuation and replace it with ''
			a__ :Optional[Any]						  =    corpus_without_punctuation.split("\n"				)
			a__ :Any						  =    term.lower()
			return (len([doc for doc in docs if term in doc]				), len(UpperCamelCase__				))


def 				lowerCamelCase__	(      a	:   int	,  a	:   int	,  a	:   Any=False				)    ->	float:





			"""simple docstring"""
			if smoothing:
						if n == 0:
									raise ValueError("log10(0) is undefined."				)
						return round(1 + logaa(n / (1 + df)				)	,  3				)

			if df == 0:
						raise ZeroDivisionError("df must be > 0"				)
			elif n == 0:
						raise ValueError("log10(0) is undefined."				)
			return round(logaa(n / df				)	,  3				)







def 				lowerCamelCase__	(      a	:   int	,  a	:   int				)    ->	float:





			"""simple docstring"""
			return round(tf * idf	,  3				)






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case__			 =						{
    '''configuration_mgp_str''': ['''MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MgpstrConfig'''],
    '''processing_mgp_str''': ['''MgpstrProcessor'''],
    '''tokenization_mgp_str''': ['''MgpstrTokenizer'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case__			 =						[
		    '''MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MgpstrModel''',
		    '''MgpstrPreTrainedModel''',
		    '''MgpstrForSceneTextRecognition''',
		]

if TYPE_CHECKING:
		from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
		from .processing_mgp_str import MgpstrProcessor
		from .tokenization_mgp_str import MgpstrTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mgp_str import (
				    MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MgpstrForSceneTextRecognition,
				    MgpstrModel,
				    MgpstrPreTrainedModel,
				)
else:
		import sys

		snake_case__			 =						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


