
'''simple docstring'''
import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A__   :		Optional[Any] 		='▁'

A__   :		List[str] 		=get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
@require_tokenizers
class  __A				( _SCREAMING_SNAKE_CASE    ,						unittest.TestCase			):
 lowerCamelCase				       =BigBirdTokenizer
 lowerCamelCase				       =BigBirdTokenizerFast
 lowerCamelCase				       =True
 lowerCamelCase				       =True
 def 		lowercase_(   self			:    Optional[int]       ):



   """simple docstring"""





   super().setUp()

   __A		:     List[Any]												=		self.tokenizer_class(lowerCamelCase				,   keep_accents=lowerCamelCase       )
   tokenizer.save_pretrained(self.tmpdirname       )
 def 		lowercase_(   self			:    List[str]       ):



   """simple docstring"""





   __A		:     Optional[Any]												=		"""<s>"""
   __A		:     Dict												=		1

   self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase       )				,   lowerCamelCase       )
   self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase       )				,   lowerCamelCase       )
 def 		lowercase_(   self			:    Optional[int]       ):



   """simple docstring"""





   __A		:     Tuple												=		list(self.get_tokenizer().get_vocab().keys()       )

   self.assertEqual(vocab_keys[0]				,   """<unk>"""       )
   self.assertEqual(vocab_keys[1]				,   """<s>"""       )
   self.assertEqual(vocab_keys[-1]				,   """[MASK]"""       )
   self.assertEqual(len(lowerCamelCase       )				,   10_04       )
 def 		lowercase_(   self			:    List[str]       ):



   """simple docstring"""





   self.assertEqual(self.get_tokenizer().vocab_size				,   10_00       )
 def 		lowercase_(   self			:    Optional[int]       ):



   """simple docstring"""





   if not self.test_rust_tokenizer:
     return

   __A		:     Union[str, Any]												=		self.get_tokenizer()
   __A		:     str												=		self.get_rust_tokenizer()

   __A		:     List[Any]												=		"""I was born in 92000, and this is falsé."""

   __A		:     Union[str, Any]												=		tokenizer.tokenize(lowerCamelCase       )
   __A		:     Dict												=		rust_tokenizer.tokenize(lowerCamelCase       )
   self.assertListEqual(lowerCamelCase				,   lowerCamelCase       )

   __A		:     str												=		tokenizer.encode(lowerCamelCase				,   add_special_tokens=lowerCamelCase       )
   __A		:     Tuple												=		rust_tokenizer.encode(lowerCamelCase				,   add_special_tokens=lowerCamelCase       )
   self.assertListEqual(lowerCamelCase				,   lowerCamelCase       )

   __A		:     Union[str, Any]												=		self.get_rust_tokenizer()
   __A		:     Dict												=		tokenizer.encode(lowerCamelCase       )
   __A		:     Union[str, Any]												=		rust_tokenizer.encode(lowerCamelCase       )
   self.assertListEqual(lowerCamelCase				,   lowerCamelCase       )
 def 		lowercase_(   self			:    Any       ):



   """simple docstring"""





   __A		:     Any												=		BigBirdTokenizer(lowerCamelCase				,   keep_accents=lowerCamelCase       )

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

   self.assertListEqual(
       tokenizer.convert_tokens_to_ids(lowerCamelCase       )				,   [2_85, 46, 10, 1_70, 3_82]				,   )

   __A		:     Any												=		tokenizer.tokenize("""I was born in 92000, and this is falsé."""       )
   self.assertListEqual(
       lowerCamelCase				,   [
           SPIECE_UNDERLINE + """I""",
           SPIECE_UNDERLINE + """was""",
           SPIECE_UNDERLINE + """b""",
           """or""",
           """n""",
           SPIECE_UNDERLINE + """in""",
           SPIECE_UNDERLINE + """""",
           """9""",
           """2""",
           """0""",
           """0""",
           """0""",
           """,""",
           SPIECE_UNDERLINE + """and""",
           SPIECE_UNDERLINE + """this""",
           SPIECE_UNDERLINE + """is""",
           SPIECE_UNDERLINE + """f""",
           """al""",
           """s""",
           """é""",
           """.""",
       ]				,   )
   __A		:     Tuple												=		tokenizer.convert_tokens_to_ids(lowerCamelCase       )
   self.assertListEqual(
       lowerCamelCase				,   [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]				,   )

   __A		:     List[str]												=		tokenizer.convert_ids_to_tokens(lowerCamelCase       )
   self.assertListEqual(
       lowerCamelCase				,   [
           SPIECE_UNDERLINE + """I""",
           SPIECE_UNDERLINE + """was""",
           SPIECE_UNDERLINE + """b""",
           """or""",
           """n""",
           SPIECE_UNDERLINE + """in""",
           SPIECE_UNDERLINE + """""",
           """<unk>""",
           """2""",
           """0""",
           """0""",
           """0""",
           """,""",
           SPIECE_UNDERLINE + """and""",
           SPIECE_UNDERLINE + """this""",
           SPIECE_UNDERLINE + """is""",
           SPIECE_UNDERLINE + """f""",
           """al""",
           """s""",
           """<unk>""",
           """.""",
       ]				,   )
 @cached_property
 def 		lowercase_(   self			:    List[str]       ):



   """simple docstring"""





   return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""       )
 @slow
 def 		lowercase_(   self			:    List[str]       ):



   """simple docstring"""





   __A		:     str												=		"""Hello World!"""
   __A		:     Dict												=		[65, 1_85_36, 22_60, 1_01, 66]

   self.assertListEqual(lowerCamelCase				,   self.big_tokenizer.encode(lowerCamelCase       )       )
 @slow
 def 		lowercase_(   self			:    Union[str, Any]       ):



   """simple docstring"""





   __A		:     Any												=		(
       """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
       """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
   )
   # fmt: off
   __A		:     Optional[Any]												=		[65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
   # fmt: on
   self.assertListEqual(lowerCamelCase				,   self.big_tokenizer.encode(lowerCamelCase       )       )
 @require_torch
 @slow
 def 		lowercase_(   self			:    Any       ):



   """simple docstring"""





   import torch

   from transformers import BigBirdConfig, BigBirdModel

   # Build sequence
   __A		:     Optional[int]												=		list(self.big_tokenizer.get_vocab().keys()       )[:10]
   __A		:     Tuple												=		""" """.join(lowerCamelCase       )
   __A		:     Union[str, Any]												=		self.big_tokenizer.encode_plus(lowerCamelCase				,   return_tensors="""pt"""				,   return_token_type_ids=lowerCamelCase       )
   __A		:     str												=		self.big_tokenizer.batch_encode_plus(
       [sequence + """ """ + sequence]				,   return_tensors="""pt"""				,   return_token_type_ids=lowerCamelCase       )

   __A		:     Union[str, Any]												=		BigBirdConfig(attention_type="""original_full"""       )
   __A		:     List[Any]												=		BigBirdModel(lowerCamelCase       )

   assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

   with torch.no_grad():
     model(**lowerCamelCase       )
     model(**lowerCamelCase       )
 @slow
 def 		lowercase_(   self			:    List[Any]       ):



   """simple docstring"""





   __A		:     List[str]												=		BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""       )
   __A		:     Any												=		tokenizer.decode(tokenizer("""Paris is the [MASK]."""       ).input_ids       )

   self.assertTrue(decoded_text == """[CLS] Paris is the[MASK].[SEP]"""       )






 @slow
 def 		lowercase_(   self			:    int       ):



   """simple docstring"""





   __A		:     str												=		{"""input_ids""": [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
   # fmt: on

   self.tokenizer_integration_test_util(
       expected_encoding=lowerCamelCase				,   model_name="""google/bigbird-roberta-base"""				,   revision="""215c99f1600e06f83acce68422f2035b2b5c3510"""				,   )





'''simple docstring'''
import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[str]			,     __SCREAMING_SNAKE_CASE						:  Optional[int]=7 )				->       List[Any]:





  """simple docstring"""

  __A		:     Optional[int]												=		None
  if token is not None:
    __A		:     str												=		{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

  # The id of a workflow (not of a workflow run)
  __A		:     Union[str, Any]												=		"""636036"""

  __A		:     Optional[int]												=		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}"

  __A		:     int												=		requests.get(__SCREAMING_SNAKE_CASE			,     headers=__SCREAMING_SNAKE_CASE ).json()

  return result["workflow_runs"]







def        A_     (						__SCREAMING_SNAKE_CASE						:  Union[str, Any] )				->       Tuple:





  """simple docstring"""

  __A		:     str												=		get_daily_ci_runs(__SCREAMING_SNAKE_CASE )
  __A		:     List[Any]												=		None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      __A		:     Dict												=		workflow_run["""id"""]
      break

  return workflow_run_id







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[Any]			,     __SCREAMING_SNAKE_CASE						:  Any			,     __SCREAMING_SNAKE_CASE						:  Tuple )				->       Tuple:





  """simple docstring"""

  __A		:     Dict												=		get_last_daily_ci_runs(__SCREAMING_SNAKE_CASE )
  if workflow_run_id is not None:
    __A		:     str												=		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:
        __A		:     List[Any]												=		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        A_     (						__SCREAMING_SNAKE_CASE						:  List[Any]			,     __SCREAMING_SNAKE_CASE						:  Optional[int]			,     __SCREAMING_SNAKE_CASE						:  Optional[Any] )				->       Union[str, Any]:





  """simple docstring"""

  get_last_daily_ci_artifacts(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE )

  __A		:     List[Any]												=		{}
  for artifact_name in artifact_names:
    __A		:     Any												=		os.path.join(__SCREAMING_SNAKE_CASE			,     F"{artifact_name}.zip" )
    if os.path.isfile(__SCREAMING_SNAKE_CASE ):
      __A		:     str												=		{}
      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:
              __A		:     Tuple												=		f.read().decode("""UTF-8""" )

  return results



