





"""simple docstring"""


import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase		,  unittest.TestCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:Union[str, Any]	     =					CTRLTokenizer
  SCREAMING_SNAKE_CASE__							:List[Any]	     =					False
  SCREAMING_SNAKE_CASE__							:Union[str, Any]	     =					False

  def    __SCREAMING_SNAKE_CASE				(		self   :       List[str]	)		->				Any:
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        _UpperCamelCase      :	Tuple						=       ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
        _UpperCamelCase      :	Union[str, Any]						=       dict(zip(__a					,   range(len(__a	)	)	)	)
        _UpperCamelCase      :	Any						=       ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
        _UpperCamelCase      :	List[Any]						=       {"unk_token": "<unk>"}

        _UpperCamelCase      :	List[Any]						=       os.path.join(self.tmpdirname					,   VOCAB_FILES_NAMES["vocab_file"]	)
        _UpperCamelCase      :	Union[str, Any]						=       os.path.join(self.tmpdirname					,   VOCAB_FILES_NAMES["merges_file"]	)
        with open(self.vocab_file					,   "w"					,   encoding="utf-8"	) as fp:
              fp.write(json.dumps(__a	) + "\n"	)
        with open(self.merges_file					,   "w"					,   encoding="utf-8"	) as fp:
              fp.write("\n".join(__a	)	)

  def    __SCREAMING_SNAKE_CASE				(		self   :       Optional[int]					,   **__a   :       List[Any]	)		->				List[Any]:
        kwargs.update(self.special_tokens_map	)
        return CTRLTokenizer.from_pretrained(self.tmpdirname					,   **__a	)

  def    __SCREAMING_SNAKE_CASE				(		self   :       str					,   __a   :       int	)		->				List[Any]:
        _UpperCamelCase      :	str						=       "adapt react readapt apt"
        _UpperCamelCase      :	str						=       "adapt react readapt apt"
        return input_text, output_text


  def    __SCREAMING_SNAKE_CASE				(		self   :       int	)		->				str:
        _UpperCamelCase      :	Tuple						=       CTRLTokenizer(self.vocab_file					,   self.merges_file					,   **self.special_tokens_map	)
        _UpperCamelCase      :	List[str]						=       "adapt react readapt apt"
        _UpperCamelCase      :	Dict						=       "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
        _UpperCamelCase      :	List[Any]						=       tokenizer.tokenize(__a	)
        self.assertListEqual(__a					,   __a	)

        _UpperCamelCase      :	List[str]						=       tokens + [tokenizer.unk_token]

        _UpperCamelCase      :	List[Any]						=       [0, 1, 2, 4, 5, 1, 0, 3, 6]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__a	)					,   __a	)







"""simple docstring"""


import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links




def 					lowercase__    (					lowercase_		,lowercase_=7			)					->		Tuple:




      """simple docstring"""

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

      # The id of a workflow (not of a workflow run)
      _UpperCamelCase      :	Any						=       "636036"

      _UpperCamelCase      :	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}'''

      _UpperCamelCase      :	Dict						=       requests.get(lowercase_		,headers=lowercase_			).json()

      return result["workflow_runs"]




def 					lowercase__    (					lowercase_			)					->		List[str]:




      """simple docstring"""

      _UpperCamelCase      :	List[Any]						=       get_daily_ci_runs(lowercase_			)
      _UpperCamelCase      :	Tuple						=       None
      for workflow_run in workflow_runs:
            if workflow_run["status"] == "completed":
                  _UpperCamelCase      :	Union[str, Any]						=       workflow_run["id"]
                  break

      return workflow_run_id




def 					lowercase__    (					lowercase_		,lowercase_		,lowercase_			)					->		Optional[int]:




      """simple docstring"""

      _UpperCamelCase      :	str						=       get_last_daily_ci_runs(lowercase_			)
      if workflow_run_id is not None:
            _UpperCamelCase      :	int						=       get_artifacts_links(worflow_run_id=lowercase_		,token=lowercase_			)
            for artifact_name in artifact_names:
                  if artifact_name in artifacts_links:
                        _UpperCamelCase      :	Dict						=       artifacts_links[artifact_name]
                        download_artifact(
                            artifact_name=lowercase_		,artifact_url=lowercase_		,output_dir=lowercase_		,token=lowercase_			)




def 					lowercase__    (					lowercase_		,lowercase_		,lowercase_			)					->		int:




      """simple docstring"""

      get_last_daily_ci_artifacts(lowercase_		,lowercase_		,lowercase_			)

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

      return results
