


'''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 				lowercase     (					self ,					snake_case__    ):
		lowerCAmelCase					:    str      							= GenerationConfig(
		    do_sample=snake_case__ ,					temperature=0.7 ,					length_penalty=1.0 ,					bad_words_ids=[[1, 2, 3], [4, 5]] ,					)
		with tempfile.TemporaryDirectory() as tmp_dir:
			config.save_pretrained(snake_case__ ,					config_name=snake_case__    )
			lowerCAmelCase					:    str      							= GenerationConfig.from_pretrained(snake_case__ ,					config_name=snake_case__    )

		# Checks parameters that were specified
		self.assertEqual(loaded_config.do_sample ,					snake_case__    )
		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 ,					snake_case__    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Tuple      							= AutoConfig.from_pretrained('gpt2'    )
		lowerCAmelCase					:    Dict      							= GenerationConfig.from_model_config(snake_case__    )
		lowerCAmelCase					:    List[Any]      							= GenerationConfig()

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

		# 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 				lowercase     (					self    ):
		lowerCAmelCase					:    Any      							= GenerationConfig()
		lowerCAmelCase					:    Optional[Any]      							= {
		    'max_new_tokens': 1024,
		    'foo': 'bar',
		}
		lowerCAmelCase					:    List[str]      							= copy.deepcopy(snake_case__    )
		lowerCAmelCase					:    Optional[Any]      							= generation_config.update(**snake_case__    )

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

		# 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(snake_case__ ,					{'foo': 'bar'}    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[str]      							= GenerationConfig()
		lowerCAmelCase					:    Tuple      							= 'bar'

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

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

		lowerCAmelCase					:    str      							= GenerationConfig.from_model_config(snake_case__    )
		assert not hasattr(snake_case__ ,					'foo'    )  # no new kwargs should be initialized if from config



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[str]      							= GenerationConfig()
		self.assertEqual(default_config.temperature ,					1.0    )
		self.assertEqual(default_config.do_sample ,					snake_case__    )
		self.assertEqual(default_config.num_beams ,					1    )

		lowerCAmelCase					:    Any      							= GenerationConfig(
		    do_sample=snake_case__ ,					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 ,					snake_case__    )
		self.assertEqual(config.num_beams ,					1    )

		with tempfile.TemporaryDirectory() as tmp_dir:
			config.save_pretrained(snake_case__    )
			lowerCAmelCase					:    List[str]      							= GenerationConfig.from_pretrained(snake_case__ ,					temperature=1.0    )

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



@is_staging_test
class  lowerCAmelCase				(				unittest.TestCase							):



	@classmethod
	def 				lowercase     (					cls    ):
		lowerCAmelCase					:    str      							= TOKEN
		HfFolder.save_token(snake_case__    )



	@classmethod
	def 				lowercase     (					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 				lowercase     (					self    ):
		lowerCAmelCase					:    Union[str, Any]      							= GenerationConfig(
		    do_sample=snake_case__ ,					temperature=0.7 ,					length_penalty=1.0 ,					)
		config.push_to_hub('test-generation-config' ,					use_auth_token=self._token    )

		lowerCAmelCase					:    List[str]      							= GenerationConfig.from_pretrained(f"{USER}/test-generation-config"    )
		for k, v in config.to_dict().items():
			if k != "transformers_version":
				self.assertEqual(snake_case__ ,					getattr(snake_case__ ,					snake_case__    )    )

        # 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(
			    snake_case__ ,					repo_id='test-generation-config' ,					push_to_hub=snake_case__ ,					use_auth_token=self._token    )

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



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[Any]      							= GenerationConfig(
		    do_sample=snake_case__ ,					temperature=0.7 ,					length_penalty=1.0 ,					)
		config.push_to_hub('valid_org/test-generation-config-org' ,					use_auth_token=self._token    )

		lowerCAmelCase					:    Union[str, Any]      							= GenerationConfig.from_pretrained('valid_org/test-generation-config-org'    )
		for k, v in config.to_dict().items():
			if k != "transformers_version":
				self.assertEqual(snake_case__ ,					getattr(snake_case__ ,					snake_case__    )    )

        # 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(
			    snake_case__ ,					repo_id='valid_org/test-generation-config-org' ,					push_to_hub=snake_case__ ,					use_auth_token=self._token    )

		lowerCAmelCase					:    List[str]      							= GenerationConfig.from_pretrained('valid_org/test-generation-config-org'    )
		for k, v in config.to_dict().items():
			if k != "transformers_version":
				self.assertEqual(snake_case__ ,					getattr(snake_case__ ,					snake_case__    )    )




'''simple docstring'''




import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCAmelCase  :		Union[str, Any]		     =	get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model')



@require_sentencepiece
@require_tokenizers
class  lowerCAmelCase				(				a      ,				unittest.TestCase							):
	_lowerCamelCase   :					Tuple			      = GPTSwaTokenizer
	_lowerCamelCase   :					str			      = False
	_lowerCamelCase   :					Dict			      = True
	_lowerCamelCase   :					Optional[Any]			      = False



	def 				lowercase     (					self    ):
		super().setUp()

		# We have a SentencePiece fixture for testing
		lowerCAmelCase					:    Tuple      							= GPTSwaTokenizer(snake_case__ ,					eos_token='<unk>' ,					bos_token='<unk>' ,					pad_token='<unk>'    )

		tokenizer.save_pretrained(self.tmpdirname    )



	def 				lowercase     (					self ,					snake_case__    ):
		lowerCAmelCase					:    List[Any]      							= 'This is a test'
		lowerCAmelCase					:    List[Any]      							= 'This is a test'
		return input_text, output_text



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Tuple      							= '<s>'
		lowerCAmelCase					:    Optional[int]      							= 1

		self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case__    ) ,					snake_case__    )
		self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case__    ) ,					snake_case__    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[Any]      							= list(self.get_tokenizer().get_vocab().keys()    )

		self.assertEqual(vocab_keys[0] ,					'<unk>'    )
		self.assertEqual(vocab_keys[1] ,					'<s>'    )
		self.assertEqual(vocab_keys[-1] ,					'j'    )
		self.assertEqual(len(snake_case__    ) ,					2000    )



	def 				lowercase     (					self    ):
		self.assertEqual(self.get_tokenizer().vocab_size ,					2000    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[Any]      							= GPTSwaTokenizer(snake_case__    )

		lowerCAmelCase					:    Optional[Any]      							= tokenizer.tokenize('This is a test'    )
		self.assertListEqual(snake_case__ ,					['▁This', '▁is', '▁a', '▁t', 'est']    )

		self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__    ) ,					[465, 287, 265, 631, 842]    )

		lowerCAmelCase					:    Tuple      							= tokenizer.tokenize('I was born in 92000, and this is falsé.'    )
		# fmt: off
		self.assertListEqual(
		    snake_case__ ,					['▁I', '▁was', '▁bor', 'n', '▁in', '▁', '<0x39>', '2', '0', '0', '0', ',', '▁and', '▁this', '▁is', '▁f', 'al', 's', '<0xC3>', '<0xA9>', '.'] ,					)
		# fmt: on

		lowerCAmelCase					:    Optional[Any]      							= tokenizer.convert_tokens_to_ids(snake_case__    )
		self.assertListEqual(
		    snake_case__ ,					[262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260] ,					)

		lowerCAmelCase					:    int      							= tokenizer.convert_ids_to_tokens(snake_case__    )
		# fmt: off
		self.assertListEqual(
		    snake_case__ ,					['▁I', '▁was', '▁bor', 'n', '▁in', '▁', '<0x39>', '2', '0', '0', '0', ',', '▁and', '▁this', '▁is', '▁f', 'al', 's', '<0xC3>', '<0xA9>', '.']    )
		# fmt: on



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= GPTSwaTokenizer(snake_case__    )
		lowerCAmelCase					:    Optional[int]      							= ['This is a test', 'I was born in 92000, and this is falsé.']
		lowerCAmelCase					:    Tuple      							= [
		    [465, 287, 265, 631, 842],
		    [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
		]

		# Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
		for text, expected_ids in zip(snake_case__ ,					snake_case__    ):
			self.assertListEqual(tokenizer.encode_fast(snake_case__    ) ,					snake_case__    )

		# Test that decode_fast returns the input text
		for text, token_ids in zip(snake_case__ ,					snake_case__    ):
			self.assertEqual(tokenizer.decode_fast(snake_case__    ) ,					snake_case__    )



	@slow
	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= [
		    '<|python|>def fibonacci(n)\n    if n < 0:\n        print(\'Incorrect input\')',
		    'Hey there, how are you doing this fine day?',
		    'This is a text with a trailing spaces followed by a dot     .',
		    'Häj sväjs lillebrör! =)',
		    'Det är inget fel på Mr. Cool',
		]

		# fmt: off
		lowerCAmelCase					:    Tuple      							= {'input_ids': [[6_3423, 5, 6811, 1_4954, 282, 816, 3821, 6_3466, 6_3425, 6_3462, 18, 6_3978, 678, 301, 1320, 6_3423, 6_3455, 6_3458, 18, 6_3982, 4246, 3940, 1901, 4_7789, 5547, 1_8994], [1_9630, 1100, 6_3446, 1342, 633, 544, 4488, 593, 5102, 2416, 6_3495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 5_8593, 2_2413, 9106, 546, 268, 3_3213, 6_3979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5130, 6_3450, 924, 6_3449, 2249, 4062, 1558, 318, 6_3504, 2_1498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 6_3443, 2_6801, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
		# fmt: on
		self.tokenizer_integration_test_util(
		    expected_encoding=snake_case__ ,					model_name='AI-Sweden/gpt-sw3-126m' ,					sequences=snake_case__ ,					)
