




'''simple docstring'''







import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin


class     _a						(			__a							,							unittest.TestCase				):
       __a       :  Optional[int]            =      XLMTokenizer
       __a       :  int            =      False
       def 					A   (			self		:			Optional[Any]       ):



           '''simple docstring'''

           super().setUp()

           # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
           UpperCAmelCase     =	[
               '''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>''',
           ]
           UpperCAmelCase     =	dict(zip(lowercase     ,       range(len(lowercase       )       )       )       )
           UpperCAmelCase     =	['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

           UpperCAmelCase     =	os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES['''vocab_file''']       )
           UpperCAmelCase     =	os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES['''merges_file''']       )
           with open(self.vocab_file     ,       '''w'''       ) as fp:
               fp.write(json.dumps(lowercase       )       )
           with open(self.merges_file     ,       '''w'''       ) as fp:
               fp.write('''\n'''.join(lowercase       )       )
       def 					A   (			self		:			int     ,       lowercase		:			Any       ):



           '''simple docstring'''

           UpperCAmelCase     =	'''lower newer'''
           UpperCAmelCase     =	'''lower newer'''
           return input_text, output_text
       def 					A   (			self		:			Tuple       ):



           '''simple docstring'''

           UpperCAmelCase     =	XLMTokenizer(self.vocab_file     ,       self.merges_file       )

           UpperCAmelCase     =	'''lower'''
           UpperCAmelCase     =	['''low''', '''er</w>''']
           UpperCAmelCase     =	tokenizer.tokenize(lowercase       )
           self.assertListEqual(lowercase     ,       lowercase       )

           UpperCAmelCase     =	tokens + ['''<unk>''']
           UpperCAmelCase     =	[14, 15, 20]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase       )     ,       lowercase       )







       @slow
       def 					A   (			self		:			List[str]       ):



           '''simple docstring'''

           UpperCAmelCase     =	XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''       )

           UpperCAmelCase     =	tokenizer.encode('''sequence builders'''     ,       add_special_tokens=lowercase       )
           UpperCAmelCase     =	tokenizer.encode('''multi-sequence build'''     ,       add_special_tokens=lowercase       )

           UpperCAmelCase     =	tokenizer.build_inputs_with_special_tokens(lowercase       )
           UpperCAmelCase     =	tokenizer.build_inputs_with_special_tokens(lowercase     ,       lowercase       )

           assert encoded_sentence == [0] + text + [1]
           assert encoded_pair == [0] + text + [1] + text_a + [1]










'''simple docstring'''







import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests





def 		snake_case_							(_a			:							List[str]  ):
    UpperCAmelCase     =	{}

    UpperCAmelCase     =	job['''started_at''']
    UpperCAmelCase     =	job['''completed_at''']

    UpperCAmelCase     =	date_parser.parse(_a  )
    UpperCAmelCase     =	date_parser.parse(_a  )

    UpperCAmelCase     =	round((end_datetime - start_datetime).total_seconds() / 60.0  )

    UpperCAmelCase     =	start
    UpperCAmelCase     =	end
    UpperCAmelCase     =	duration_in_min

    return job_info





def 		snake_case_							(_a			:							str					,     _a			:							List[str]=None  ):
    UpperCAmelCase     =	None
    if token is not None:
        UpperCAmelCase     =	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"Bearer {token}"}

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

    try:
        job_time.update({job['''name''']: extract_time_from_single_job(_a  ) for job in result['''jobs''']}  )
        UpperCAmelCase     =	math.ceil((result['''total_count'''] - 1_0_0) / 1_0_0  )

        for i in range(_a  ):
            UpperCAmelCase     =	requests.get(url + F"&page={i + 2}"					,     headers=_a  ).json()
            job_time.update({job['''name''']: extract_time_from_single_job(_a  ) for job in result['''jobs''']}  )

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

    return {}


if __name__ == "__main__":
   A									=argparse.ArgumentParser()
   # Required parameters
   parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
   A									=parser.parse_args()

   A									=get_job_time(args.workflow_run_id)
   A									=dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

   for k, v in job_time.items():
      print(f"""{k}: {v["duration"]}""")




