





import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests






def lowerCamelCase__   (							snake_case_     :  str	,				snake_case_     :  Tuple=None	)				->    Optional[Any]:
   __snake_case								=       None
   if token is not None:
      __snake_case								=       {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

   __snake_case								=       f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
   __snake_case								=       requests.get(snake_case_	,				headers=snake_case_	).json()
   __snake_case								=       {}

   try:
      job_links.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}	)
      __snake_case								=       math.ceil((result['''total_count'''] - 100) / 100	)

      for i in range(snake_case_	):
         __snake_case								=       requests.get(url + f"""&page={i + 2}"""	,				headers=snake_case_	).json()
         job_links.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}	)

      return job_links
   except Exception:
      print(f"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""	)

   return {}






def lowerCamelCase__   (							snake_case_     :  List[Any]	,				snake_case_     :  Any=None	)				->    List[Any]:
   __snake_case								=       None
   if token is not None:
      __snake_case								=       {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

   __snake_case								=       f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
   __snake_case								=       requests.get(snake_case_	,				headers=snake_case_	).json()
   __snake_case								=       {}

   try:
      artifacts.update({artifact['''name''']: artifact['''archive_download_url'''] for artifact in result['''artifacts''']}	)
      __snake_case								=       math.ceil((result['''total_count'''] - 100) / 100	)

      for i in range(snake_case_	):
         __snake_case								=       requests.get(url + f"""&page={i + 2}"""	,				headers=snake_case_	).json()
         artifacts.update({artifact['''name''']: artifact['''archive_download_url'''] for artifact in result['''artifacts''']}	)

      return artifacts
   except Exception:
      print(f"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""	)

   return {}






def lowerCamelCase__   (							snake_case_     :  Union[str, Any]	,				snake_case_     :  List[str]	,				snake_case_     :  int	,				snake_case_     :  Union[str, Any]	)				->    Union[str, Any]:
   __snake_case								=       None
   if token is not None:
      __snake_case								=       {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

   __snake_case								=       requests.get(snake_case_	,				headers=snake_case_	,				allow_redirects=snake_case_	)
   __snake_case								=       result.headers['''Location''']
   __snake_case								=       requests.get(snake_case_	,				allow_redirects=snake_case_	)
   __snake_case								=       os.path.join(snake_case_	,				f"""{artifact_name}.zip"""	)
   with open(snake_case_	,				'''wb'''	) as fp:
      fp.write(response.content	)






def lowerCamelCase__   (							snake_case_     :  Union[str, Any]	,				snake_case_     :  List[Any]=None	)				->    str:
   __snake_case								=       []
   __snake_case								=       []
   __snake_case								=       None

   with zipfile.ZipFile(snake_case_	) as z:
      for filename in z.namelist():
         if not os.path.isdir(snake_case_	):
            # read the file
            if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
               with z.open(snake_case_	) as f:
                  for line in f:
                     __snake_case								=       line.decode('''UTF-8'''	).strip()
                     if filename == "failures_line.txt":
                        try:
                           # `error_line` is the place where `error` occurs
                           __snake_case								=       line[: line.index(''': '''	)]
                           __snake_case								=       line[line.index(''': '''	) + len(''': '''	) :]
                           errors.append([error_line, error]	)
                        except Exception:
                           # skip un-related lines
                           pass
                     elif filename == "summary_short.txt" and line.startswith('''FAILED '''	):
                        # `test` is the test method that failed
                        __snake_case								=       line[len('''FAILED '''	) :]
                        failed_tests.append(snake_case_	)
                     elif filename == "job_name.txt":
                        __snake_case								=       line

   if len(snake_case_	) != len(snake_case_	):
      raise ValueError(
          f"""`errors` and `failed_tests` should have the same number of elements. Got {len(snake_case_	)} for `errors` """
          f"""and {len(snake_case_	)} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"""
          ''' problem.'''	)

   __snake_case								=       None
   if job_name and job_links:
      __snake_case								=       job_links.get(snake_case_	,				snake_case_	)

   # A list with elements of the form (line of error, error, failed test)
   __snake_case								=       [x + [y] + [job_link] for x, y in zip(snake_case_	,				snake_case_	)]

   return result






def lowerCamelCase__   (							snake_case_     :  Dict	,				snake_case_     :  List[Any]=None	)				->    Dict:
   __snake_case								=       []

   __snake_case								=       [os.path.join(snake_case_	,				snake_case_	) for p in os.listdir(snake_case_	) if p.endswith('''.zip'''	)]
   for p in paths:
      errors.extend(get_errors_from_single_artifact(snake_case_	,				job_links=snake_case_	)	)

   return errors






def lowerCamelCase__   (							snake_case_     :  List[Any]	,				snake_case_     :  Optional[Any]=None	)				->    str:
   __snake_case								=       Counter()
   counter.update([x[1] for x in logs]	)
   __snake_case								=       counter.most_common()
   __snake_case								=       {}
   for error, count in counts:
      if error_filter is None or error not in error_filter:
         __snake_case								=       {'''count''': count, '''failed_tests''': [(x[2], x[0]) for x in logs if x[1] == error]}

   __snake_case								=       dict(sorted(r.items()	,				key=lambda snake_case_	: item[1]["count"]	,				reverse=snake_case_	)	)
   return r






def lowerCamelCase__   (							snake_case_     :  List[Any]	)				->    Tuple:
   __snake_case								=       test.split('''::'''	)[0]
   if test.startswith('''tests/models/'''	):
      __snake_case								=       test.split('''/'''	)[2]
   else:
      __snake_case								=       None

   return test






def lowerCamelCase__   (							snake_case_     :  int	,				snake_case_     :  Union[str, Any]=None	)				->    Optional[int]:
   __snake_case								=       [(x[0], x[1], get_model(x[2]	)) for x in logs]
   __snake_case								=       [x for x in logs if x[2] is not None]
   __snake_case								=       {x[2] for x in logs}

   __snake_case								=       {}
   for test in tests:
      __snake_case								=       Counter()
      # count by errors in `test`
      counter.update([x[1] for x in logs if x[2] == test]	)
      __snake_case								=       counter.most_common()
      __snake_case								=       {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
      __snake_case								=       sum(error_counts.values()	)
      if n_errors > 0:
         __snake_case								=       {'''count''': n_errors, '''errors''': error_counts}

   __snake_case								=       dict(sorted(r.items()	,				key=lambda snake_case_	: item[1]["count"]	,				reverse=snake_case_	)	)
   return r






def lowerCamelCase__   (							snake_case_     :  Any	)				->    Union[str, Any]:
   __snake_case								=       '''| no. | error | status |'''
   __snake_case								=       '''|-:|:-|:-|'''
   __snake_case								=       [header, sep]
   for error in reduced_by_error:
      __snake_case								=       reduced_by_error[error]['''count''']
      __snake_case								=       f"""| {count} | {error[:100]} |  |"""
      lines.append(snake_case_	)

   return "\n".join(snake_case_	)






def lowerCamelCase__   (							snake_case_     :  List[Any]	)				->    Tuple:
   __snake_case								=       '''| model | no. of errors | major error | count |'''
   __snake_case								=       '''|-:|-:|-:|-:|'''
   __snake_case								=       [header, sep]
   for model in reduced_by_model:
      __snake_case								=       reduced_by_model[model]['''count''']
      __snake_case	,     __snake_case								=       list(reduced_by_model[model]['''errors'''].items()	)[0]
      __snake_case								=       f"""| {model} | {count} | {error[:60]} | {_count} |"""
      lines.append(snake_case_	)

   return "\n".join(snake_case_	)


if __name__ == "__main__":
    snake_case_           =      argparse.ArgumentParser()
    # Required parameters
    parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
    parser.add_argument(
        '--output_dir',
        type=str,
        required=True,
        help='Where to store the downloaded artifacts and other result files.',
    )
    parser.add_argument('--token', default=None, type=str, help='A token that has actions:read permission.')
    snake_case_           =      parser.parse_args()

    os.makedirs(args.output_dir, exist_ok=True)

    snake_case_           =      get_job_links(args.workflow_run_id, token=args.token)
    snake_case_           =      {}
    # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
    # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
    if _job_links:
        for k, v in _job_links.items():
            # This is how GitHub actions combine job names.
            if " / " in k:
                snake_case_           =      k.find(' / ')
                snake_case_           =      k[index + len(' / ') :]
            snake_case_           =      v
    with open(os.path.join(args.output_dir, 'job_links.json'), 'w', encoding='UTF-8') as fp:
        json.dump(job_links, fp, ensure_ascii=False, indent=4)

    snake_case_           =      get_artifacts_links(args.workflow_run_id, token=args.token)
    with open(os.path.join(args.output_dir, 'artifacts.json'), 'w', encoding='UTF-8') as fp:
        json.dump(artifacts, fp, ensure_ascii=False, indent=4)

    for idx, (name, url) in enumerate(artifacts.items()):
        download_artifact(name, url, args.output_dir, args.token)
        # Be gentle to GitHub
        time.sleep(1)

    snake_case_           =      get_all_errors(args.output_dir, job_links=job_links)

    # `e[1]` is the error
    snake_case_           =      Counter()
    counter.update([e[1] for e in errors])

    # print the top 30 most common test errors
    snake_case_           =      counter.most_common(30)
    for item in most_common:
        print(item)

    with open(os.path.join(args.output_dir, 'errors.json'), 'w', encoding='UTF-8') as fp:
        json.dump(errors, fp, ensure_ascii=False, indent=4)

    snake_case_           =      reduce_by_error(errors)
    snake_case_           =      reduce_by_model(errors)

    snake_case_           =      make_github_table(reduced_by_error)
    snake_case_           =      make_github_table_per_model(reduced_by_model)

    with open(os.path.join(args.output_dir, 'reduced_by_error.txt'), 'w', encoding='UTF-8') as fp:
        fp.write(sa)
    with open(os.path.join(args.output_dir, 'reduced_by_model.txt'), 'w', encoding='UTF-8') as fp:
        fp.write(sa)








import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation


snake_case_           =      logging.get_logger(__name__)

snake_case_           =      {'tokenizer_file': 'tokenizer.json'}

snake_case_           =      {
    'tokenizer_file': {
        'bigscience/tokenizer': 'https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json',
        'bigscience/bloom-560m': 'https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json',
        'bigscience/bloom-1b1': 'https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json',
        'bigscience/bloom-1b7': 'https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json',
        'bigscience/bloom-3b': 'https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json',
        'bigscience/bloom-7b1': 'https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json',
        'bigscience/bloom': 'https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json',
    },
}

class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase  ):
      A_						:    List[str]							=   VOCAB_FILES_NAMES
      A_						:    Optional[Any]							=   PRETRAINED_VOCAB_FILES_MAP
      A_						:    str							=   ['input_ids', 'attention_mask']
      A_						:    Optional[Any]							=   None


      def __init__(self	:				Optional[int]    ,      a__	:				int=None    ,      a__	:				str=None    ,      a__	:				Any=None    ,      a__	:				List[Any]="<unk>"    ,      a__	:				List[Any]="<s>"    ,      a__	:				Optional[int]="</s>"    ,      a__	:				List[str]="<pad>"    ,      a__	:				Union[str, Any]=False    ,      a__	:				str=False    ,      **a__	:				Optional[Any]    ,      ):





         """simple docstring"""



         super().__init__(
             a__    ,      a__    ,      tokenizer_file=a__    ,      unk_token=a__    ,      bos_token=a__    ,      eos_token=a__    ,      pad_token=a__    ,      add_prefix_space=a__    ,      clean_up_tokenization_spaces=a__    ,      **a__    ,      )
         __snake_case								=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
         if pre_tok_state.get('''add_prefix_space'''    ,      a__				) != add_prefix_space:
            __snake_case								=       getattr(a__    ,      pre_tok_state.pop('''type'''				)				)
            __snake_case								=       add_prefix_space
            __snake_case								=       pre_tok_class(**a__				)

         __snake_case								=       add_prefix_space


      def        a			(self	:				int    ,      *a__	:				Tuple    ,      **a__	:				Optional[Any]				):





         """simple docstring"""



         __snake_case								=       kwargs.get('''is_split_into_words'''    ,      a__				)
         if not (self.add_prefix_space or not is_split_into_words):
            raise Exception(
                f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
                ''' pretokenized inputs.'''				)

         return super()._batch_encode_plus(*a__    ,      **a__				)


      def        a			(self	:				List[str]    ,      *a__	:				List[str]    ,      **a__	:				List[str]				):





         """simple docstring"""



         __snake_case								=       kwargs.get('''is_split_into_words'''    ,      a__				)

         if not (self.add_prefix_space or not is_split_into_words):
            raise Exception(
                f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
                ''' pretokenized inputs.'''				)

         return super()._encode_plus(*a__    ,      **a__				)


      def        a			(self	:				List[Any]    ,      a__	:				str    ,      a__	:				Optional[str] = None				):





         """simple docstring"""



         __snake_case								=       self._tokenizer.model.save(a__    ,      name=a__				)
         return tuple(a__				)


      def        a			(self	:				Tuple    ,      a__	:				"Conversation"				):





         """simple docstring"""



         __snake_case								=       []
         for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(a__    ,      add_special_tokens=a__				) + [self.eos_token_id]				)

         if len(a__				) > self.model_max_length:
            __snake_case								=       input_ids[-self.model_max_length :]
         return input_ids

