






'''simple docstring'''







import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class     _a						(			UpperCamelCase_							,							unittest.TestCase				):
       __a       :  str            =      PhobertTokenizer
       __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     =	['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
           UpperCAmelCase     =	dict(zip(UpperCamelCase__     ,       range(len(UpperCamelCase__       )       )       )       )
           UpperCAmelCase     =	['''#version: 0.2''', '''l à</w>''']
           UpperCAmelCase     =	{'''unk_token''': '''<unk>'''}

           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'''     ,       encoding='''utf-8'''       ) as fp:
               for token in vocab_tokens:
                   fp.write(f"{token} {vocab_tokens[token]}\n"       )
           with open(self.merges_file     ,       '''w'''     ,       encoding='''utf-8'''       ) as fp:
               fp.write('''\n'''.join(UpperCamelCase__       )       )
       def 					A   (			self		:			List[Any]     ,       **lowercase		:			str       ):



           '''simple docstring'''

           kwargs.update(self.special_tokens_map       )
           return PhobertTokenizer.from_pretrained(self.tmpdirname     ,       **UpperCamelCase__       )
       def 					A   (			self		:			Optional[int]     ,       lowercase		:			Optional[int]       ):



           '''simple docstring'''

           UpperCAmelCase     =	'''Tôi là VinAI Research'''
           UpperCAmelCase     =	'''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
           return input_text, output_text







       def 					A   (			self		:			Dict       ):



           '''simple docstring'''

           UpperCAmelCase     =	PhobertTokenizer(self.vocab_file     ,       self.merges_file     ,       **self.special_tokens_map       )
           UpperCAmelCase     =	'''Tôi là VinAI Research'''
           UpperCAmelCase     =	'''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
           UpperCAmelCase     =	tokenizer.tokenize(UpperCamelCase__       )
           print(UpperCamelCase__       )
           self.assertListEqual(UpperCamelCase__     ,       UpperCamelCase__       )

           UpperCAmelCase     =	tokens + [tokenizer.unk_token]

           UpperCAmelCase     =	[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__       )     ,       UpperCamelCase__       )










'''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"]}""")




