"""simple docstring"""
import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class    __snake_case       (     __lowerCAmelCase       ,      unittest.TestCase				):
      a__        =		CLIPTokenizer
      a__        =		CLIPTokenizerFast
      a__        =		True
      a__        =		{}
      a__        =		False



      def   lowerCamelCase_   (						self)	->			Tuple:





        '''simple docstring'''





        super().setUp()

        # fmt: off
        a__:     Tuple										=	['l', 'o', 'w', 'e', 'r', 's', 't', 'i', 'd', 'n', 'lo', 'l</w>', 'w</w>', 'r</w>', 't</w>', 'low</w>', 'er</w>', 'lowest</w>', 'newer</w>', 'wider', '<unk>', '<|startoftext|>', '<|endoftext|>']
        # fmt: on
        a__:     Optional[int]										=	dict(zip(lowercase    ,			range(len(lowercase))))
        a__:     Optional[int]										=	['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>']
        a__:     Tuple										=	{'unk_token': '<unk>'}

        a__:     List[Any]										=	os.path.join(self.tmpdirname    ,			VOCAB_FILES_NAMES['vocab_file'])
        a__:     Optional[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(lowercase) + '\n')
        with open(self.merges_file    ,			'w'    ,			encoding='utf-8') as fp:
          fp.write('\n'.join(lowercase))



      def   lowerCamelCase_   (						self    ,			**lowercase)	->			Optional[int]:





        '''simple docstring'''





        kwargs.update(self.special_tokens_map)
        return CLIPTokenizer.from_pretrained(self.tmpdirname    ,			**lowercase)



      def   lowerCamelCase_   (						self    ,			**lowercase)	->			Tuple:





        '''simple docstring'''





        kwargs.update(self.special_tokens_map)
        return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,			**lowercase)



      def   lowerCamelCase_   (						self    ,			lowercase)	->			List[Any]:





        '''simple docstring'''





        a__:     Optional[Any]										=	'lower newer'
        a__:     Tuple										=	'lower newer'
        return input_text, output_text



      def   lowerCamelCase_   (						self)	->			Optional[Any]:





        '''simple docstring'''





        a__:     Tuple										=	CLIPTokenizer(self.vocab_file    ,			self.merges_file    ,			**self.special_tokens_map)
        a__:     List[str]										=	'lower newer'
        a__:     Optional[int]										=	['lo', 'w', 'er</w>', 'n', 'e', 'w', 'er</w>']
        a__:     Union[str, Any]										=	tokenizer.tokenize(lowercase)
        self.assertListEqual(lowercase    ,			lowercase)

        a__:     Tuple										=	tokens + [tokenizer.unk_token]
        a__:     List[Any]										=	[10, 2, 16, 9, 3, 2, 16, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase)    ,			lowercase)



      @require_ftfy
      def   lowerCamelCase_   (						self)	->			Optional[int]:





        '''simple docstring'''





        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
            a__:     int										=	self.tokenizer_class.from_pretrained(lowercase    ,			**lowercase)
            a__:     int										=	self.rust_tokenizer_class.from_pretrained(lowercase    ,			**lowercase)

            a__:     Optional[int]										=	'A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'
            a__:     int										=	tokenizer_s.tokenize(lowercase)
            a__:     Union[str, Any]										=	tokenizer_r.tokenize(lowercase)

            self.assertListEqual(lowercase    ,			lowercase)

            # Test that the tokenization is identical on an example containing a character (Latin Small Letter A
            # with Tilde) encoded in 2 different ways
            a__:     Any										=	'xa\u0303y' + ' ' + 'x\xe3y'
            a__:     Any										=	tokenizer_s.tokenize(lowercase)
            a__:     List[str]										=	tokenizer_r.tokenize(lowercase)

            self.assertListEqual(lowercase    ,			lowercase)

            # Test that the tokenization is identical on unicode of space type
            a__:     Tuple										=	[
                '\u0009',  # (horizontal tab, '\t')
                '\u000B',  # (vertical tab)
                '\u000C',  # (form feed)
                '\u0020',  # (space, ' ')
                '\u200E',  # (left-to-right mark):w
                '\u200F',  # (right-to-left mark)
            ]
            for unicode_seq in spaces_unicodes:
              a__:     Union[str, Any]										=	tokenizer_s.tokenize(lowercase)
              a__:     Optional[int]										=	tokenizer_r.tokenize(lowercase)

              self.assertListEqual(lowercase    ,			lowercase)

            # Test that the tokenization is identical on unicode of line break type
            a__:     List[Any]										=	[
                '\u000A',  # (line feed, '\n')
                '\r\n',  # (carriage return and line feed, '\r\n')
                '\u000D',  # (carriage return, '\r')
                '\r',  # (carriage return, '\r')
                '\u000D',  # (carriage return, '\r')
                '\u2028',  # (line separator)
                '\u2029',  # (paragraph separator)
                # "\u0085", # (next line)
            ]

            # The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
            # it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
            # space (and thus into an empty list).

            for unicode_seq in line_break_unicodes:
              a__:     Optional[Any]										=	tokenizer_s.tokenize(lowercase)
              a__:     Any										=	tokenizer_r.tokenize(lowercase)

              self.assertListEqual(lowercase    ,			lowercase)



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





        '''simple docstring'''





        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
            a__:     str										=	'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
            a__:     Union[str, Any]										=	f'{text_of_1_token} {text_of_1_token}'

            a__:     Union[str, Any]										=	self.rust_tokenizer_class.from_pretrained(
                lowercase    ,			use_fast=lowercase    ,			)
            a__:     Union[str, Any]										=	tokenizer_r(lowercase    ,			return_offsets_mapping=lowercase    ,			add_special_tokens=lowercase)
            self.assertEqual(encoding.offset_mapping[0]    ,			(0, len(lowercase)))
            self.assertEqual(
                encoding.offset_mapping[1]    ,			(len(lowercase) + 1, len(lowercase) + 1 + len(lowercase))    ,			)

            a__:     Any										=	f' {text}'

            a__:     Union[str, Any]										=	self.rust_tokenizer_class.from_pretrained(
                lowercase    ,			use_fast=lowercase    ,			)
            a__:     int										=	tokenizer_r(lowercase    ,			return_offsets_mapping=lowercase    ,			add_special_tokens=lowercase)
            self.assertEqual(encoding.offset_mapping[0]    ,			(1, 1 + len(lowercase)))
            self.assertEqual(
                encoding.offset_mapping[1]    ,			(1 + len(lowercase) + 1, 1 + len(lowercase) + 1 + len(lowercase))    ,			)



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        with self.assertRaises(lowercase) as context:
          self.rust_tokenizer_class.from_pretrained('robot-test/old-clip-tokenizer')

        self.assertTrue(
            context.exception.args[0].startswith(
                'The `backend_tokenizer` provided does not match the expected format.'))



      @require_ftfy
      def   lowerCamelCase_   (						self)	->			Tuple:





        '''simple docstring'''





        super().test_tokenization_python_rust_equals()



      def   lowerCamelCase_   (						self)	->			str:





        '''simple docstring'''





        pass



"""simple docstring"""
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->Optional[int]:
  a__:     int										=	None
  if token is not None:
    a__:     Tuple										=	{'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

  a__:     Optional[Any]										=	F'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
  a__:     str										=	requests.get(_SCREAMING_SNAKE_CASE		,     headers=_SCREAMING_SNAKE_CASE   ).json()
  a__:     str										=	{}

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

    for i in range(_SCREAMING_SNAKE_CASE   ):
      a__:     Dict										=	requests.get(url + F'&page={i + 2}'		,     headers=_SCREAMING_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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->Dict:
  a__:     Dict										=	None
  if token is not None:
    a__:     List[str]										=	{'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

  a__:     Dict										=	F'https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'
  a__:     Union[str, Any]										=	requests.get(_SCREAMING_SNAKE_CASE		,     headers=_SCREAMING_SNAKE_CASE   ).json()
  a__:     List[Any]										=	{}

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

    for i in range(_SCREAMING_SNAKE_CASE   ):
      a__:     Optional[int]										=	requests.get(url + F'&page={i + 2}'		,     headers=_SCREAMING_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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->str:
  a__:     List[Any]										=	None
  if token is not None:
    a__:     Optional[int]										=	{'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

  a__:     Union[str, Any]										=	requests.get(_SCREAMING_SNAKE_CASE		,     headers=_SCREAMING_SNAKE_CASE		,     allow_redirects=_SCREAMING_SNAKE_CASE   )
  a__:     Optional[Any]										=	result.headers['Location']
  a__:     Optional[int]										=	requests.get(_SCREAMING_SNAKE_CASE		,     allow_redirects=_SCREAMING_SNAKE_CASE   )
  a__:     int										=	os.path.join(_SCREAMING_SNAKE_CASE		,     F'{artifact_name}.zip'   )
  with open(_SCREAMING_SNAKE_CASE		,     'wb'   ) as fp:
    fp.write(response.content   )







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->List[Any]:
  a__:     List[Any]										=	[]
  a__:     Optional[Any]										=	[]
  a__:     List[Any]										=	None

  with zipfile.ZipFile(_SCREAMING_SNAKE_CASE   ) as z:
    for filename in z.namelist():
      if not os.path.isdir(_SCREAMING_SNAKE_CASE   ):
        # read the file
        if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
          with z.open(_SCREAMING_SNAKE_CASE   ) as f:
            for line in f:
              a__:     Optional[int]										=	line.decode('UTF-8'   ).strip()
              if filename == "failures_line.txt":
                try:
                  # `error_line` is the place where `error` occurs
                  a__:     Union[str, Any]										=	line[: line.index(': '   )]
                  a__:     Union[str, Any]										=	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
                a__:     Optional[int]										=	line[len('FAILED '   ) :]
                failed_tests.append(_SCREAMING_SNAKE_CASE   )
              elif filename == "job_name.txt":
                a__:     Union[str, Any]										=	line

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

  a__:     Tuple										=	None
  if job_name and job_links:
    a__:     Dict										=	job_links.get(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )

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

  return result







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->str:
  a__:     int										=	[]

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

  return errors







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

  a__:     Optional[Any]										=	dict(sorted(r.items()		,     key=lambda _SCREAMING_SNAKE_CASE   : item[1]["count"]		,     reverse=_SCREAMING_SNAKE_CASE   )   )
  return r







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->Union[str, Any]:
  a__:     List[str]										=	test.split('::'   )[0]
  if test.startswith('tests/models/'   ):
    a__:     Dict										=	test.split('/'   )[2]
  else:
    a__:     Any										=	None

  return test







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->List[str]:
  a__:     int										=	[(x[0], x[1], get_model(x[2]   )) for x in logs]
  a__:     List[Any]										=	[x for x in logs if x[2] is not None]
  a__:     Optional[Any]										=	{x[2] for x in logs}

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

  a__:     Optional[int]										=	dict(sorted(r.items()		,     key=lambda _SCREAMING_SNAKE_CASE   : item[1]["count"]		,     reverse=_SCREAMING_SNAKE_CASE   )   )
  return r







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->Union[str, Any]:
  a__:     Any										=	'| no. | error | status |'
  a__:     Any										=	'|-:|:-|:-|'
  a__:     str										=	[header, sep]
  for error in reduced_by_error:
    a__:     int										=	reduced_by_error[error]['count']
    a__:     Tuple										=	F'| {count} | {error[:100]} |  |'
    lines.append(_SCREAMING_SNAKE_CASE   )

  return "\n".join(_SCREAMING_SNAKE_CASE   )







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->str:
  a__:     List[str]										=	'| model | no. of errors | major error | count |'
  a__:     str										=	'|-:|-:|-:|-:|'
  a__:     int										=	[header, sep]
  for model in reduced_by_model:
    a__:     Tuple										=	reduced_by_model[model]['count']
    a__							,    a__:     Dict										=	list(reduced_by_model[model]['errors'].items()   )[0]
    a__:     Dict										=	F'| {model} | {count} | {error[:60]} | {_count} |'
    lines.append(_SCREAMING_SNAKE_CASE   )

  return "\n".join(_SCREAMING_SNAKE_CASE   )


if __name__ == "__main__":
 lowercase__					       =	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.')
 lowercase__					       =	parser.parse_args()

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

 lowercase__					       =	get_job_links(args.workflow_run_id, token=args.token)
 lowercase__					       =	{}
 # 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:
    lowercase__					       =	k.find(' / ')
    lowercase__					       =	k[index + len(' / ') :]
   lowercase__					       =	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)

 lowercase__					       =	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)

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

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

 # print the top 30 most common test errors
 lowercase__					       =	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)

 lowercase__					       =	reduce_by_error(errors)
 lowercase__					       =	reduce_by_model(errors)

 lowercase__					       =	make_github_table(reduced_by_error)
 lowercase__					       =	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)


