




import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests


def    A						(__A   :    int       )   ->      int:







     """simple docstring"""


     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    A						(__A   :    Union[str, Any]   ,				__A   :    Dict=None       )   ->      List[Any]:







     """simple docstring"""


     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'''] - 100) / 100       )

          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__":
    snake_case_ : Optional[Any]    		=       argparse.ArgumentParser()
    # Required parameters
    parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
    snake_case_ : int    		=       parser.parse_args()

    snake_case_ : int    		=       get_job_time(args.workflow_run_id)
    snake_case_ : Union[str, Any]    		=       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']}")












import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin







class __snake_case			(			a ,  unittest.TestCase		):
   UpperCAmelCase__  :    Any          =  PhobertTokenizer
   UpperCAmelCase__  :    List[str]          =  False







   def lowerCamelCase						(      self		:						str):

        """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(_snake_case					,						range(len(_snake_case))))
        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(_snake_case))







   def lowerCamelCase						(      self		:						int					,						**_snake_case		:						Any):

        """simple docstring"""


        kwargs.update(self.special_tokens_map)
        return PhobertTokenizer.from_pretrained(self.tmpdirname					,						**_snake_case)







   def lowerCamelCase						(      self		:						Optional[Any]					,						_snake_case		:						Union[str, Any]):

        """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 lowerCamelCase						(      self		:						List[str]):

        """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(_snake_case)
        print(_snake_case)
        self.assertListEqual(_snake_case					,						_snake_case)

        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(_snake_case)					,						_snake_case)






