



"""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


__UpperCAmelCase   :   Optional[Any]        =       get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model')

@require_sentencepiece
@require_tokenizers
class 						__lowerCAmelCase				(__snake_case       ,unittest.TestCase	):


					'''simple docstring'''


					a__          =  GPTSwaTokenizer
					a__          =  False
					a__          =  True
					a__          =  False







					def 		_a			(   self ):




										"""simple docstring"""





										super().setUp()

										# We have a SentencePiece fixture for testing
										snake_case_    :Any										=    GPTSwaTokenizer(a__     ,							eos_token="<unk>"     ,							bos_token="<unk>"     ,							pad_token="<unk>" )

										tokenizer.save_pretrained(self.tmpdirname )







					def 		_a			(   self     ,							a ):




										"""simple docstring"""





										snake_case_    :Optional[int]										=    "This is a test"
										snake_case_    :List[Any]										=    "This is a test"
										return input_text, output_text







					def 		_a			(   self ):




										"""simple docstring"""





										snake_case_    :List[str]										=    "<s>"
										snake_case_    :Optional[int]										=    1

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







					def 		_a			(   self ):




										"""simple docstring"""





										snake_case_    :Dict										=    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(a__ )     ,							20_00 )







					def 		_a			(   self ):




										"""simple docstring"""





										self.assertEqual(self.get_tokenizer().vocab_size     ,							20_00 )







					def 		_a			(   self ):




										"""simple docstring"""





										snake_case_    :str										=    GPTSwaTokenizer(a__ )

										snake_case_    :List[str]										=    tokenizer.tokenize("This is a test" )
										self.assertListEqual(a__     ,							["▁This", "▁is", "▁a", "▁t", "est"] )

										self.assertListEqual(tokenizer.convert_tokens_to_ids(a__ )     ,							[4_65, 2_87, 2_65, 6_31, 8_42] )

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

										snake_case_    :Optional[int]										=    tokenizer.convert_tokens_to_ids(a__ )
										self.assertListEqual(
										    a__     ,							[2_62, 2_72, 15_25, 2_86, 2_71, 2_68, 60, 9_16, 6_33, 6_33, 6_33, 2_59, 2_66, 3_01, 2_87, 3_84, 3_67, 2_63, 1_98, 1_72, 2_60]     ,							)

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







					def 		_a			(   self ):




										"""simple docstring"""





										snake_case_    :List[Any]										=    GPTSwaTokenizer(a__ )
										snake_case_    :int										=    ["This is a test", "I was born in 92000, and this is falsé."]
										snake_case_    :Optional[int]										=    [
										    [4_65, 2_87, 2_65, 6_31, 8_42],
										    [2_62, 2_72, 15_25, 2_86, 2_71, 2_68, 60, 9_16, 6_33, 6_33, 6_33, 2_59, 2_66, 3_01, 2_87, 3_84, 3_67, 2_63, 1_98, 1_72, 2_60],
										]

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

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







					@slow
					def 		_a			(   self ):




										"""simple docstring"""





										snake_case_    :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
										snake_case_    :int										=    {"input_ids": [[6_34_23, 5, 68_11, 1_49_54, 2_82, 8_16, 38_21, 6_34_66, 6_34_25, 6_34_62, 18, 6_39_78, 6_78, 3_01, 13_20, 6_34_23, 6_34_55, 6_34_58, 18, 6_39_82, 42_46, 39_40, 19_01, 4_77_89, 55_47, 1_89_94], [1_96_30, 11_00, 6_34_46, 13_42, 6_33, 5_44, 44_88, 5_93, 51_02, 24_16, 6_34_95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [16_52, 4_28, 2_68, 19_36, 5_15, 2_68, 5_85_93, 2_24_13, 91_06, 5_46, 2_68, 3_32_13, 6_39_79, 6_98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_51_30, 6_34_50, 9_24, 6_34_49, 22_49, 40_62, 15_58, 3_18, 6_35_04, 2_14_98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_09, 3_77, 28_27, 25_59, 3_32, 65_75, 6_34_43, 2_68_01, 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=a__     ,							model_name="AI-Sweden/gpt-sw3-126m"     ,							sequences=a__     ,							)





# Copyright 2021 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.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async





def 	_lowerCAmelCase					( UpperCamelCase__:  List[Any]=None    )			-> Union[str, Any]:





	"""simple docstring"""







	if subparsers is not None:
		A             =					subparsers.add_parser("""test"""    )
	else:
		A             =					argparse.ArgumentParser("""Accelerate test command"""    )

	parser.add_argument(
	    """--config_file"""				,       default=UpperCamelCase__				,       help=(
	        """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
	        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
	        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
	        """with 'huggingface'."""
	    )				,       )

	if subparsers is not None:
		parser.set_defaults(func=UpperCamelCase__    )
	return parser





def 	_lowerCAmelCase					( UpperCamelCase__:  Union[str, Any]    )			-> Any:





	"""simple docstring"""







	A             =					os.path.sep.join(__file__.split(os.path.sep    )[:-2] + ["""test_utils""", """scripts""", """test_script.py"""]    )

	if args.config_file is None:
		A             =					script_name
	else:
		A             =					f'--config_file={args.config_file} {script_name}'

	A             =					["""accelerate-launch"""] + test_args.split()
	A             =					execute_subprocess_async(UpperCamelCase__				,       env=os.environ.copy()    )
	if result.returncode == 0:
		print("""Test is a success! You are ready for your distributed training!"""    )





def 	_lowerCAmelCase					( )			-> List[Any]:





	"""simple docstring"""







	A             =					test_command_parser()
	A             =					parser.parse_args()
	test_command(UpperCamelCase__    )


if __name__ == "__main__":
				main()



