





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


lowercase_					     =	get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")
@require_sentencepiece
@require_tokenizers
class        SCREAMING_SNAKE_CASE     (UpperCAmelCase    ,			unittest.TestCase   ):
			_UpperCamelCase					:	List[Any]				      = GPTSwaTokenizer
			_UpperCamelCase					:	str				      = False
			_UpperCamelCase					:	List[str]				      = True
			_UpperCamelCase					:	List[str]				      = False


			def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any] )->     Optional[int]:





					"""simple docstring"""







					super().setUp()

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

					tokenizer.save_pretrained(self.tmpdirname )


			def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int]    ,  a    :       str )->     Dict:





					"""simple docstring"""







					lowercase__			    =						'This is a test'
					lowercase__			    =						'This is a test'
					return input_text, output_text


			def  SCREAMING_SNAKE_CASE_							(					self    :       str )->     int:





					"""simple docstring"""







					lowercase__			    =						'<s>'
					lowercase__			    =						1

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


			def  SCREAMING_SNAKE_CASE_							(					self    :       Union[str, Any] )->     Dict:





					"""simple docstring"""







					lowercase__			    =						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 )    ,  2_000 )


			def  SCREAMING_SNAKE_CASE_							(					self    :       Dict )->     Optional[Any]:





					"""simple docstring"""







					self.assertEqual(self.get_tokenizer().vocab_size    ,  2_000 )


			def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     str:





					"""simple docstring"""







					lowercase__			    =						GPTSwaTokenizer(a )

					lowercase__			    =						tokenizer.tokenize('This is a test' )
					self.assertListEqual(a    ,  ['▁This', '▁is', '▁a', '▁t', 'est'] )

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

					lowercase__			    =						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

					lowercase__			    =						tokenizer.convert_tokens_to_ids(a )
					self.assertListEqual(
					    a    ,  [262, 272, 1_525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]    ,  )

					lowercase__			    =						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  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any] )->     List[str]:





					"""simple docstring"""







					lowercase__			    =						GPTSwaTokenizer(a )
					lowercase__			    =						['This is a test', 'I was born in 92000, and this is falsé.']
					lowercase__			    =						[
					    [465, 287, 265, 631, 842],
					    [262, 272, 1_525, 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(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  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     Optional[Any]:





					"""simple docstring"""







					lowercase__			    =						[
					    '<|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
					lowercase__			    =						{'input_ids': [[63_423, 5, 6_811, 14_954, 282, 816, 3_821, 63_466, 63_425, 63_462, 18, 63_978, 678, 301, 1_320, 63_423, 63_455, 63_458, 18, 63_982, 4_246, 3_940, 1_901, 47_789, 5_547, 18_994], [19_630, 1_100, 63_446, 1_342, 633, 544, 4_488, 593, 5_102, 2_416, 63_495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1_652, 428, 268, 1_936, 515, 268, 58_593, 22_413, 9_106, 546, 268, 33_213, 63_979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [55_130, 63_450, 924, 63_449, 2_249, 4_062, 1_558, 318, 63_504, 21_498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2_827, 2_559, 332, 6_575, 63_443, 26_801, 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    ,  )









import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE=7	)       ->     List[Any]:
  lowercase__			    =						None
  if token is not None:
    lowercase__			    =						{'Accept': 'application/vnd.github+json', 'Authorization': F"""Bearer {token}"""}

  # The id of a workflow (not of a workflow run)
  lowercase__			    =						'636036'

  lowercase__			    =						F"""https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"""
  # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
  url += F"""?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"""

  lowercase__			    =						requests.get(_SCREAMING_SNAKE_CASE	,		headers=_SCREAMING_SNAKE_CASE	).json()

  return result["workflow_runs"]




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Union[str, Any]:
  lowercase__			    =						get_daily_ci_runs(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      lowercase__			    =						workflow_run['id']
      break

  return workflow_run_id




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     Tuple:
  lowercase__			    =						get_last_daily_ci_runs(_SCREAMING_SNAKE_CASE	)
  if workflow_run_id is not None:
    lowercase__			    =						get_artifacts_links(worflow_run_id=_SCREAMING_SNAKE_CASE	,		token=_SCREAMING_SNAKE_CASE	)
    for artifact_name in artifact_names:
      if artifact_name in artifacts_links:
        lowercase__			    =						artifacts_links[artifact_name]
        download_artifact(
            artifact_name=_SCREAMING_SNAKE_CASE	,		artifact_url=_SCREAMING_SNAKE_CASE	,		output_dir=_SCREAMING_SNAKE_CASE	,		token=_SCREAMING_SNAKE_CASE	)




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     Dict:
  get_last_daily_ci_artifacts(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)

  lowercase__			    =						{}
  for artifact_name in artifact_names:
    lowercase__			    =						os.path.join(_SCREAMING_SNAKE_CASE	,		F"""{artifact_name}.zip"""	)
    if os.path.isfile(_SCREAMING_SNAKE_CASE	):
      lowercase__			    =						{}
      with zipfile.ZipFile(_SCREAMING_SNAKE_CASE	) as z:
        for filename in z.namelist():
          if not os.path.isdir(_SCREAMING_SNAKE_CASE	):
            # read the file
            with z.open(_SCREAMING_SNAKE_CASE	) as f:
              lowercase__			    =						f.read().decode('UTF-8'	)

  return results


