






"""simple docstring"""





import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links



def   a    (     __UpperCAmelCase      :    Union[str, Any]      ,   __UpperCAmelCase      :    List[str]=7  )    ->							Optional[Any]:
						__magic_name__:	Optional[Any]							=       None
						if token is not None:
												__magic_name__:	Union[str, Any]							=       {"""Accept""": """application/vnd.github+json""", """Authorization""": f'Bearer {token}'}

						# The id of a workflow (not of a workflow run)
						__magic_name__:	Optional[Any]							=       """636036"""

						__magic_name__:	Tuple							=       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}'

						__magic_name__:	Union[str, Any]							=       requests.get(__UpperCAmelCase      ,   headers=__UpperCAmelCase  ).json()

						return result["workflow_runs"]



def   a    (     __UpperCAmelCase      :    Tuple  )    ->							int:
						__magic_name__:	Any							=       get_daily_ci_runs(__UpperCAmelCase  )
						__magic_name__:	int							=       None
						for workflow_run in workflow_runs:
												if workflow_run["status"] == "completed":
																		__magic_name__:	List[str]							=       workflow_run["""id"""]
																		break

						return workflow_run_id



def   a    (     __UpperCAmelCase      :    Tuple      ,   __UpperCAmelCase      :    Optional[int]      ,   __UpperCAmelCase      :    Tuple  )    ->							Any:
						__magic_name__:	List[str]							=       get_last_daily_ci_runs(__UpperCAmelCase  )
						if workflow_run_id is not None:
												__magic_name__:	Any							=       get_artifacts_links(worflow_run_id=__UpperCAmelCase      ,   token=__UpperCAmelCase  )
												for artifact_name in artifact_names:
																		if artifact_name in artifacts_links:
																								__magic_name__:	List[str]							=       artifacts_links[artifact_name]
																								download_artifact(
																								    artifact_name=__UpperCAmelCase      ,   artifact_url=__UpperCAmelCase      ,   output_dir=__UpperCAmelCase      ,   token=__UpperCAmelCase  )



def   a    (     __UpperCAmelCase      :    Any      ,   __UpperCAmelCase      :    Tuple      ,   __UpperCAmelCase      :    str  )    ->							List[Any]:
						get_last_daily_ci_artifacts(__UpperCAmelCase      ,   __UpperCAmelCase      ,   __UpperCAmelCase  )

						__magic_name__:	int							=       {}
						for artifact_name in artifact_names:
												__magic_name__:	List[Any]							=       os.path.join(__UpperCAmelCase      ,   f'{artifact_name}.zip'  )
												if os.path.isfile(__UpperCAmelCase  ):
																		__magic_name__:	Union[str, Any]							=       {}
																		with zipfile.ZipFile(__UpperCAmelCase  ) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(__UpperCAmelCase  ):
																																				# read the file
																																				with z.open(__UpperCAmelCase  ) as f:
																																										__magic_name__:	int							=       f.read().decode("""UTF-8"""  )

						return results











"""simple docstring"""





import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class       __A		(   SCREAMING_SNAKE_CASE_     ,unittest.TestCase			):
					UpperCAmelCase__								=				OpenAIGPTTokenizer
					UpperCAmelCase__								=				OpenAIGPTTokenizerFast
					UpperCAmelCase__								=				True
					UpperCAmelCase__								=				False

					def   lowerCamelCase__   (			self  :      Dict					)			->							Optional[Any]:
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											__magic_name__:	str							=       [
											    """l""",
											    """o""",
											    """w""",
											    """e""",
											    """r""",
											    """s""",
											    """t""",
											    """i""",
											    """d""",
											    """n""",
											    """w</w>""",
											    """r</w>""",
											    """t</w>""",
											    """lo""",
											    """low""",
											    """er</w>""",
											    """low</w>""",
											    """lowest</w>""",
											    """newer</w>""",
											    """wider</w>""",
											    """<unk>""",
											]
											__magic_name__:	Any							=       dict(zip(__snake_case     ,		range(len(__snake_case					)					)					)					)
											__magic_name__:	List[str]							=       ["""#version: 0.2""", """l o""", """lo w""", """e r</w>""", """"""]

											__magic_name__:	Optional[Any]							=       os.path.join(self.tmpdirname     ,		VOCAB_FILES_NAMES["""vocab_file"""]					)
											__magic_name__:	Any							=       os.path.join(self.tmpdirname     ,		VOCAB_FILES_NAMES["""merges_file"""]					)
											with open(self.vocab_file     ,		"""w"""					) as fp:
																	fp.write(json.dumps(__snake_case					)					)
											with open(self.merges_file     ,		"""w"""					) as fp:
																	fp.write("""\n""".join(__snake_case					)					)

					def   lowerCamelCase__   (			self  :      List[Any]     ,		__snake_case  :      Optional[Any]					)			->							Optional[int]:
											return "lower newer", "lower newer"

					def   lowerCamelCase__   (			self  :      List[Any]					)			->							Union[str, Any]:
											__magic_name__:	Optional[Any]							=       OpenAIGPTTokenizer(self.vocab_file     ,		self.merges_file					)

											__magic_name__:	Union[str, Any]							=       """lower"""
											__magic_name__:	Optional[int]							=       ["""low""", """er</w>"""]
											__magic_name__:	List[Any]							=       tokenizer.tokenize(__snake_case					)
											self.assertListEqual(__snake_case     ,		__snake_case					)

											__magic_name__:	Optional[int]							=       tokens + ["""<unk>"""]
											__magic_name__:	List[str]							=       [1_4, 1_5, 2_0]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case					)     ,		__snake_case					)

					def   lowerCamelCase__   (			self  :      Optional[Any]     ,		__snake_case  :      Any=1_5					)			->							Tuple:
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'					):
																							__magic_name__:	str							=       self.rust_tokenizer_class.from_pretrained(__snake_case     ,		**__snake_case					)

																							# Simple input
																							__magic_name__:	Dict							=       """This is a simple input"""
																							__magic_name__:	Any							=       ["""This is a simple input 1""", """This is a simple input 2"""]
																							__magic_name__:	int							=       ("""This is a simple input""", """This is a pair""")
																							__magic_name__:	int							=       [
																							    ("""This is a simple input 1""", """This is a simple input 2"""),
																							    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																							]

																							# Simple input tests
																							self.assertRaises(__snake_case     ,		tokenizer_r.encode     ,		__snake_case     ,		max_length=__snake_case     ,		padding="""max_length"""					)

																							# Simple input
																							self.assertRaises(__snake_case     ,		tokenizer_r.encode_plus     ,		__snake_case     ,		max_length=__snake_case     ,		padding="""max_length"""					)

																							# Simple input
																							self.assertRaises(
																							    __snake_case     ,		tokenizer_r.batch_encode_plus     ,		__snake_case     ,		max_length=__snake_case     ,		padding="""max_length"""     ,		)

																							# Pair input
																							self.assertRaises(__snake_case     ,		tokenizer_r.encode     ,		__snake_case     ,		max_length=__snake_case     ,		padding="""max_length"""					)

																							# Pair input
																							self.assertRaises(__snake_case     ,		tokenizer_r.encode_plus     ,		__snake_case     ,		max_length=__snake_case     ,		padding="""max_length"""					)

																							# Pair input
																							self.assertRaises(
																							    __snake_case     ,		tokenizer_r.batch_encode_plus     ,		__snake_case     ,		max_length=__snake_case     ,		padding="""max_length"""     ,		)






					def   lowerCamelCase__   (			self  :      Dict					)			->							Any:
											pass



@require_ftfy
@require_spacy
@require_tokenizers
class       __A		(   SCREAMING_SNAKE_CASE_			):
					pass



