
"""simple docstring"""


import string
from math import logaa






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__						):
			lowerCamelCase_					=  document.translate(
			    str.maketrans(''''''	,''''''	,string.punctuation						)						).replace('''\n'''	,''''''						)
			lowerCamelCase_					=  document_without_punctuation.split(''' '''						)  # word tokenization
			return len([word for word in tokenize_document if word.lower() == term.lower()]						)






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__						):
			lowerCamelCase_					=  corpus.lower().translate(
			    str.maketrans(''''''	,''''''	,string.punctuation						)						)  # strip all punctuation and replace it with ''
			lowerCamelCase_					=  corpus_without_punctuation.split('''\n'''						)
			lowerCamelCase_					=  term.lower()
			return (len([doc for doc in docs if term in doc]						), len(lowerCAmelCase__						))






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__=False						):
			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  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__						):
			return round(tf * idf	,3						)





"""simple docstring"""


import copy
import tempfile
import unittest

from huggingface_hub import HfFolder, delete_repo
from parameterized import parameterized
from requests.exceptions import HTTPError

from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test




class  __lowerCamelCase  ( unittest.TestCase			):




				@parameterized.expand([(None,), ('''foo.json''',)]   )
				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							lowerCamelCase_					=  GenerationConfig(
							    do_sample=UpperCAmelCase							,						temperature=0.7							,						length_penalty=1.0							,						bad_words_ids=[[1, 2, 3], [4, 5]]							,						)
							with tempfile.TemporaryDirectory() as tmp_dir:
										config.save_pretrained(UpperCAmelCase							,						config_name=UpperCAmelCase   )
										lowerCamelCase_					=  GenerationConfig.from_pretrained(UpperCAmelCase							,						config_name=UpperCAmelCase   )

							# Checks parameters that were specified
							self.assertEqual(loaded_config.do_sample							,						UpperCAmelCase   )
							self.assertEqual(loaded_config.temperature							,						0.7   )
							self.assertEqual(loaded_config.length_penalty							,						1.0   )
							self.assertEqual(loaded_config.bad_words_ids							,						[[1, 2, 3], [4, 5]]   )

							# Checks parameters that were not specified (defaults)
							self.assertEqual(loaded_config.top_k							,						50   )
							self.assertEqual(loaded_config.max_length							,						20   )
							self.assertEqual(loaded_config.max_time							,						UpperCAmelCase   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  AutoConfig.from_pretrained('''gpt2'''   )
							lowerCamelCase_					=  GenerationConfig.from_model_config(UpperCAmelCase   )
							lowerCamelCase_					=  GenerationConfig()

							# The generation config has loaded a few non-default parameters from the model config
							self.assertNotEqual(UpperCAmelCase							,						UpperCAmelCase   )

							# One of those parameters is eos_token_id -- check if it matches
							self.assertNotEqual(generation_config_from_model.eos_token_id							,						default_generation_config.eos_token_id   )
							self.assertEqual(generation_config_from_model.eos_token_id							,						model_config.eos_token_id   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig()
							lowerCamelCase_					=  {
							    '''max_new_tokens''': 1024,
							    '''foo''': '''bar''',
							}
							lowerCamelCase_					=  copy.deepcopy(UpperCAmelCase   )
							lowerCamelCase_					=  generation_config.update(**UpperCAmelCase   )

							# update_kwargs was not modified (no side effects)
							self.assertEqual(UpperCAmelCase							,						UpperCAmelCase   )

							# update_kwargs was used to update the config on valid attributes
							self.assertEqual(generation_config.max_new_tokens							,						1024   )

							# `.update()` returns a dictionary of unused kwargs
							self.assertEqual(UpperCAmelCase							,						{'''foo''': '''bar'''}   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig()
							lowerCamelCase_					=  '''bar'''

							with tempfile.TemporaryDirectory('''test-generation-config'''   ) as tmp_dir:
										generation_config.save_pretrained(UpperCAmelCase   )

										lowerCamelCase_					=  GenerationConfig.from_pretrained(UpperCAmelCase   )
							# update_kwargs was used to update the config on valid attributes
							self.assertEqual(new_config.foo							,						'''bar'''   )

							lowerCamelCase_					=  GenerationConfig.from_model_config(UpperCAmelCase   )
							assert not hasattr(UpperCAmelCase							,						'''foo'''   )  # no new kwargs should be initialized if from config





				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig()
							self.assertEqual(default_config.temperature							,						1.0   )
							self.assertEqual(default_config.do_sample							,						UpperCAmelCase   )
							self.assertEqual(default_config.num_beams							,						1   )

							lowerCamelCase_					=  GenerationConfig(
							    do_sample=UpperCAmelCase							,						temperature=0.7							,						length_penalty=1.0							,						bad_words_ids=[[1, 2, 3], [4, 5]]							,						)
							self.assertEqual(config.temperature							,						0.7   )
							self.assertEqual(config.do_sample							,						UpperCAmelCase   )
							self.assertEqual(config.num_beams							,						1   )

							with tempfile.TemporaryDirectory() as tmp_dir:
										config.save_pretrained(UpperCAmelCase   )
										lowerCamelCase_					=  GenerationConfig.from_pretrained(UpperCAmelCase							,						temperature=1.0   )

							self.assertEqual(loaded_config.temperature							,						1.0   )
							self.assertEqual(loaded_config.do_sample							,						UpperCAmelCase   )
							self.assertEqual(loaded_config.num_beams							,						1   )  # default value




@is_staging_test
class  __lowerCamelCase  ( unittest.TestCase			):




				@classmethod
				def        UpperCAmelCase__						(				cls   ):
							lowerCamelCase_					=  TOKEN
							HfFolder.save_token(UpperCAmelCase   )




				@classmethod
				def        UpperCAmelCase__						(				cls   ):
							try:
										delete_repo(token=cls._token							,						repo_id='''test-generation-config'''   )
							except HTTPError:
										pass

							try:
										delete_repo(token=cls._token							,						repo_id='''valid_org/test-generation-config-org'''   )
							except HTTPError:
										pass




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig(
							    do_sample=UpperCAmelCase							,						temperature=0.7							,						length_penalty=1.0							,						)
							config.push_to_hub('''test-generation-config'''							,						use_auth_token=self._token   )

							lowerCamelCase_					=  GenerationConfig.from_pretrained(f"{USER}/test-generation-config"   )
							for k, v in config.to_dict().items():
										if k != "transformers_version":
													self.assertEqual(UpperCAmelCase							,						getattr(UpperCAmelCase							,						UpperCAmelCase   )   )

        # Reset repo
							delete_repo(token=self._token							,						repo_id='''test-generation-config'''   )

							# Push to hub via save_pretrained
							with tempfile.TemporaryDirectory() as tmp_dir:
										config.save_pretrained(
										    UpperCAmelCase							,						repo_id='''test-generation-config'''							,						push_to_hub=UpperCAmelCase							,						use_auth_token=self._token   )

							lowerCamelCase_					=  GenerationConfig.from_pretrained(f"{USER}/test-generation-config"   )
							for k, v in config.to_dict().items():
										if k != "transformers_version":
													self.assertEqual(UpperCAmelCase							,						getattr(UpperCAmelCase							,						UpperCAmelCase   )   )





				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig(
							    do_sample=UpperCAmelCase							,						temperature=0.7							,						length_penalty=1.0							,						)
							config.push_to_hub('''valid_org/test-generation-config-org'''							,						use_auth_token=self._token   )

							lowerCamelCase_					=  GenerationConfig.from_pretrained('''valid_org/test-generation-config-org'''   )
							for k, v in config.to_dict().items():
										if k != "transformers_version":
													self.assertEqual(UpperCAmelCase							,						getattr(UpperCAmelCase							,						UpperCAmelCase   )   )

        # Reset repo
							delete_repo(token=self._token							,						repo_id='''valid_org/test-generation-config-org'''   )

							# Push to hub via save_pretrained
							with tempfile.TemporaryDirectory() as tmp_dir:
										config.save_pretrained(
										    UpperCAmelCase							,						repo_id='''valid_org/test-generation-config-org'''							,						push_to_hub=UpperCAmelCase							,						use_auth_token=self._token   )

							lowerCamelCase_					=  GenerationConfig.from_pretrained('''valid_org/test-generation-config-org'''   )
							for k, v in config.to_dict().items():
										if k != "transformers_version":
													self.assertEqual(UpperCAmelCase							,						getattr(UpperCAmelCase							,						UpperCAmelCase   )   )



