
"""simple docstring"""




import collections
import json
import math
import os
import re
import time
from fnmatch import fnmatch
from typing import Dict

import requests
from slack_sdk import WebClient


A__   :					str							=   WebClient(token=os.environ['CI_SLACK_BOT_TOKEN'])




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			List[Any]       =     test_results.split(''' '''						)

  _lowercase:			Optional[Any]       =     0
  _lowercase:			int       =     0

  # When the output is short enough, the output is surrounded by = signs: "== OUTPUT =="
  # When it is too long, those signs are not present.
  _lowercase:			Tuple       =     expressions[-2] if '''=''' in expressions[-1] else expressions[-1]

  for i, expression in enumerate(_UpperCamelCase						):
    if "failed" in expression:
      failed += int(expressions[i - 1]						)
    if "passed" in expression:
      success += int(expressions[i - 1]						)

  return failed, success, time_spent




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			str       =     {}
  _lowercase:			Tuple       =     None
  _lowercase:			int       =     False
  for line in failures_short_lines.split('''\n'''						):
    if re.search(R'''_ \[doctest\]''' ,				_UpperCamelCase						):
      _lowercase:			Tuple       =     True
      _lowercase:			str       =     line.split(''' '''						)[2]
    elif in_error and not line.split(''' '''						)[0].isdigit():
      _lowercase:			Any       =     line
      _lowercase:			Dict       =     False

  return failures


class 			__magic_name__       :
       def __init__(     self ,				A_ ,				A_       )     ->	Dict:





         """simple docstring"""




         _lowercase:			Dict       =     title

         _lowercase:			Tuple       =     doc_test_results['''time_spent'''].split(''','''       )[0]
         _lowercase:			int       =     doc_test_results['''success''']
         _lowercase:			Tuple       =     doc_test_results['''failures''']
         _lowercase:			Optional[Any]       =     self.n_success + self.n_failures

         # Failures and success of the modeling tests
         _lowercase:			List[Any]       =     doc_test_results
       @property
       def 							lowercase_							(     self       )     ->	str:





         """simple docstring"""




         _lowercase:			Tuple       =     [self._time_spent]
         _lowercase:			Union[str, Any]       =     0

         for time in time_spent:
           _lowercase:			Optional[Any]       =     time.split(''':'''       )

           # Time can be formatted as xx:xx:xx, as .xx, or as x.xx if the time spent was less than a minute.
           if len(A_       ) == 1:
             _lowercase:			List[str]       =     [0, 0, time_parts[0]]

           _lowercase ,				_lowercase ,				_lowercase:			Any       =     int(time_parts[0]       ), int(time_parts[1]       ), float(time_parts[2]       )
           total_secs += hours * 3600 + minutes * 60 + seconds

         _lowercase ,				_lowercase ,				_lowercase:			Optional[Any]       =     total_secs // 3600, (total_secs % 3600) // 60, total_secs % 60
         return f'''{int(A_       )}h{int(A_       )}m{int(A_       )}s'''
       @property
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         return {"type": "header", "text": {"type": "plain_text", "text": self.title}}
       @property
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         return {
             "type": "section",
             "text": {
                 "type": "plain_text",
                 "text": f'''🌞 There were no failures: all {self.n_tests} tests passed. The suite ran in {self.time}.''',
                 "emoji": True,
             },
             "accessory": {
                 "type": "button",
                 "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
                 "url": f'''https://github.com/huggingface/transformers/actions/runs/{os.environ["GITHUB_RUN_ID"]}''',
             },
         }
       @property
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         return {
             "type": "section",
             "text": {
                 "type": "plain_text",
                 "text": (
                     f'''There were {self.n_failures} failures, out of {self.n_tests} tests.\nThe suite ran in'''
                     f''' {self.time}.'''
                 ),
                 "emoji": True,
             },
             "accessory": {
                 "type": "button",
                 "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
                 "url": f'''https://github.com/huggingface/transformers/actions/runs/{os.environ["GITHUB_RUN_ID"]}''',
             },
         }
       @property
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         _lowercase:			Tuple       =     40
         _lowercase:			Dict       =     {k: v['''failed'''] for k, v in doc_test_results.items() if isinstance(A_ ,				A_       )}

         _lowercase:			Optional[Any]       =     ''''''
         for category, failures in category_failures.items():
           if len(A_       ) == 0:
             continue

           if report != "":
             report += "\n\n"

           report += f'''*{category} failures*:'''.ljust(line_length // 2       ).rjust(line_length // 2       ) + "\n"
           report += "`"
           report += "`\n`".join(A_       )
           report += "`"

         return {
             "type": "section",
             "text": {
                 "type": "mrkdwn",
                 "text": f'''The following examples had failures:\n\n\n{report}\n''',
             },
         }
       @property
       def 							lowercase_							(     self       )     ->	str:





         """simple docstring"""




         _lowercase:			Dict       =     [self.header]

         if self.n_failures > 0:
           blocks.append(self.failures       )

         if self.n_failures > 0:
           blocks.extend([self.category_failures]       )

         if self.n_failures == 0:
           blocks.append(self.no_failures       )

         return json.dumps(A_       )
       @staticmethod
       def 							lowercase_							(     )     ->	str:





         """simple docstring"""




         _lowercase:			Optional[int]       =     [
             {
                 '''type''': '''section''',
                 '''text''': {
                     '''type''': '''plain_text''',
                     '''text''': '''There was an issue running the tests.''',
                 },
                 '''accessory''': {
                     '''type''': '''button''',
                     '''text''': {'''type''': '''plain_text''', '''text''': '''Check Action results''', '''emoji''': True},
                     '''url''': f'''https://github.com/huggingface/transformers/actions/runs/{os.environ["GITHUB_RUN_ID"]}''',
                 },
             }
         ]

         print('''Sending the following payload'''       )
         print(json.dumps({'''blocks''': json.loads(A_       )}       )       )

         client.chat_postMessage(
             channel=os.environ['''CI_SLACK_CHANNEL_ID_DAILY'''] ,				text='''There was an issue running the tests.''' ,				blocks=A_ ,				)
       def 							lowercase_							(     self       )     ->	Union[str, Any]:





         """simple docstring"""




         print('''Sending the following payload'''       )
         print(json.dumps({'''blocks''': json.loads(self.payload       )}       )       )

         _lowercase:			Any       =     f'''{self.n_failures} failures out of {self.n_tests} tests,''' if self.n_failures else '''All tests passed.'''

         _lowercase:			int       =     client.chat_postMessage(
             channel=os.environ['''CI_SLACK_CHANNEL_ID_DAILY'''] ,				blocks=self.payload ,				text=A_ ,				)
       def 							lowercase_							(     self ,				A_ ,				A_ ,				A_ ,				A_       )     ->	Union[str, Any]:





         """simple docstring"""




         _lowercase:			List[Any]       =     ''''''
         for key, value in failures.items():
           _lowercase:			List[str]       =     value[:200] + ''' [Truncated]''' if len(A_       ) > 250 else value
           failures_text += f'''*{key}*\n_{value}_\n\n'''

         _lowercase:			Optional[int]       =     job_name
         _lowercase:			Tuple       =     {'''type''': '''section''', '''text''': {'''type''': '''mrkdwn''', '''text''': text}}

         if job_link is not None:
           _lowercase:			List[str]       =     {
               '''type''': '''button''',
               '''text''': {'''type''': '''plain_text''', '''text''': '''GitHub Action job''', '''emoji''': True},
               '''url''': job_link,
           }

         return [
             {"type": "header", "text": {"type": "plain_text", "text": title.upper(), "emoji": True}},
             content,
             {"type": "section", "text": {"type": "mrkdwn", "text": failures_text}},
         ]



       def 							lowercase_							(     self       )     ->	int:





         """simple docstring"""




         if self.thread_ts is None:
           raise ValueError('''Can only post reply if a post has been made.'''       )

         _lowercase:			Optional[int]       =     self.doc_test_results.pop('''job_link'''       )
         self.doc_test_results.pop('''failures'''       )
         self.doc_test_results.pop('''success'''       )
         self.doc_test_results.pop('''time_spent'''       )

         _lowercase:			str       =     sorted(self.doc_test_results.items() ,				key=lambda A_       : t[0]       )
         for job, job_result in sorted_dict:
           if len(job_result['''failures''']       ):
             _lowercase:			str       =     f'''*Num failures* :{len(job_result["failed"]       )} \n'''
             _lowercase:			List[Any]       =     job_result['''failures''']
             _lowercase:			Union[str, Any]       =     self.get_reply_blocks(A_ ,				A_ ,				A_ ,				text=A_       )

             print('''Sending the following reply'''       )
             print(json.dumps({'''blocks''': blocks}       )       )

             client.chat_postMessage(
                 channel=os.environ['''CI_SLACK_CHANNEL_ID_DAILY'''] ,				text=f'''Results for {job}''' ,				blocks=A_ ,				thread_ts=self.thread_ts['''ts'''] ,				)

             time.sleep(1       )




def  _lowerCAmelCase		(		):






  """simple docstring"""



  _lowercase:			List[Any]       =     os.environ['''GITHUB_RUN_ID''']
  _lowercase:			Optional[int]       =     f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100'''
  _lowercase:			Optional[Any]       =     requests.get(_UpperCamelCase						).json()
  _lowercase:			Optional[int]       =     {}

  try:
    jobs.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}						)
    _lowercase:			Union[str, Any]       =     math.ceil((result['''total_count'''] - 100) / 100						)

    for i in range(_UpperCamelCase						):
      _lowercase:			Any       =     requests.get(url + f'''&page={i + 2}'''						).json()
      jobs.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}						)

    return jobs
  except Exception as e:
    print('''Unknown error, could not fetch links.''' ,				_UpperCamelCase						)

  return {}




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			List[str]       =     {}

  if os.path.exists(_UpperCamelCase						):
    _lowercase:			Dict       =     os.listdir(_UpperCamelCase						)
    for file in files:
      try:
        with open(os.path.join(_UpperCamelCase ,				_UpperCamelCase						) ,				encoding='''utf-8'''						) as f:
          _lowercase:			int       =     f.read()
      except UnicodeDecodeError as e:
        raise ValueError(f'''Could not open {os.path.join(_UpperCamelCase ,				_UpperCamelCase						)}.'''						) from e

  return _artifact




def  _lowerCAmelCase		(		):






  """simple docstring"""



  class 			__magic_name__       :
         def __init__(     self ,				A_       )     ->	Optional[Any]:





           """simple docstring"""




           _lowercase:			List[str]       =     name
           _lowercase:			int       =     []
         def __str__(     self       )     ->	Optional[int]:





           """simple docstring"""




           return self.name



         def 							lowercase_							(     self ,				A_       )     ->	int:





           """simple docstring"""




           self.paths.append({'''name''': self.name, '''path''': path}       )

  _lowercase:			Dict[str, Artifact]       =     {}

  _lowercase:			Tuple       =     filter(os.path.isdir ,				os.listdir()						)
  for directory in directories:
    _lowercase:			Union[str, Any]       =     directory
    if artifact_name not in _available_artifacts:
      _lowercase:			int       =     Artifact(_UpperCamelCase						)

      _available_artifacts[artifact_name].add_path(_UpperCamelCase						)

  return _available_artifacts


if __name__ == "__main__":
  A__   :					Union[str, Any]							=   get_job_links()
  A__   :					int							=   retrieve_available_artifacts()

  A__   :					Dict							=   collections.OrderedDict(
      [
          ('*.py', 'API Examples'),
          ('*.md', 'MD Examples'),
      ]
  )

  # This dict will contain all the information relative to each doc test category:
  # - failed: list of failed tests
  # - failures: dict in the format 'test': 'error_message'
  A__   :					Any							=   {
      v: {
          'failed': [],
          'failures': {},
      }
      for v in docs.values()
  }

  # Link to the GitHub Action job
  A__   :					Any							=   github_actions_job_links.get('run_doctests')

  A__   :					Optional[Any]							=   available_artifacts['doc_tests_gpu_test_reports'].paths[0]
  A__   :					Dict							=   retrieve_artifact(artifact_path['name'])
  if "stats" in artifact:
    A__							, A__							, A__   :					str							=   handle_test_results(artifact['stats'])
    A__   :					str							=   failed
    A__   :					Optional[int]							=   success
    A__   :					Tuple							=   time_spent[1:-1] + ', '

    A__   :					List[str]							=   extract_first_line_failure(artifact['failures_short'])
    for line in artifact["summary_short"].split('\n'):
      if re.search('FAILED', line):
        A__   :					Dict							=   line.replace('FAILED ', '')
        A__   :					Dict							=   line.split()[0].replace('\n', '')

        if "::" in line:
          A__							, A__   :					str							=   line.split('::')
        else:
          A__							, A__   :					List[str]							=   line, line

        for file_regex in docs.keys():
          if fnmatch(file_path, file_regex):
            A__   :					List[Any]							=   docs[file_regex]
            doc_test_results[category]["failed"].append(test)

            A__   :					Tuple							=   all_failures[test] if test in all_failures else 'N/A'
            A__   :					str							=   failure
            break

  A__   :					Any							=   Message('🤗 Results of the doc tests.', doc_test_results)
  message.post()
  message.post_reply()


"""simple docstring"""




import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
A__   :					Any							=   logging.getLogger()




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Optional[int]       =     '''\n'''.join(_UpperCamelCase						)
  Path(_UpperCamelCase						).open('''w'''						).writelines(_UpperCamelCase						)


A__   :					int							=   'patrickvonplaten/t5-tiny-random'
A__   :					Tuple							=   'sshleifer/bart-tiny-random'
A__   :					Optional[Any]							=   'sshleifer/tiny-mbart'

A__   :					Optional[int]							=   logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks







class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			str       =     Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
         _lowercase:			Tuple       =     input_file_name.parent / '''utest_output.txt'''
         assert not output_file_name.exists()
         _lowercase:			List[str]       =     [''' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.''']
         _dump_articles(A_ ,				A_       )

         _lowercase:			int       =     str(Path(self.get_auto_remove_tmp_dir()       ) / '''scores.json'''       )
         _lowercase:			Optional[Any]       =     '''translation_en_to_de''' if model == T5_TINY else '''summarization'''
         _lowercase:			str       =     f'''
            run_eval_search.py
            {model}
            {input_file_name}
            {output_file_name}
            --score_path {score_path}
            --task {task}
            --num_beams 2
            --length_penalty 2.0
            '''.split()

         with patch.object(A_ ,				'''argv''' ,				A_       ):
           run_generate()
           assert Path(A_       ).exists()
           # os.remove(Path(output_file_name))
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         self.run_eval_tester(A_       )
       @parameterized.expand([BART_TINY, MBART_TINY]       )
       @slow
       def 							lowercase_							(     self ,				A_       )     ->	Union[str, Any]:





         """simple docstring"""




         self.run_eval_tester(A_       )



       @parameterized.expand([T5_TINY, MBART_TINY]       )
       @slow
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			Tuple       =     Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
         _lowercase:			Dict       =     input_file_name.parent / '''utest_output.txt'''
         assert not output_file_name.exists()

         _lowercase:			int       =     {
             '''en''': ['''Machine learning is great, isn\'t it?''', '''I like to eat bananas''', '''Tomorrow is another great day!'''],
             '''de''': [
                 '''Maschinelles Lernen ist großartig, oder?''',
                 '''Ich esse gerne Bananen''',
                 '''Morgen ist wieder ein toller Tag!''',
             ],
         }

         _lowercase:			Tuple       =     Path(self.get_auto_remove_tmp_dir()       )
         _lowercase:			Tuple       =     str(tmp_dir / '''scores.json'''       )
         _lowercase:			List[str]       =     str(tmp_dir / '''val.target'''       )
         _dump_articles(A_ ,				text['''en''']       )
         _dump_articles(A_ ,				text['''de''']       )
         _lowercase:			Tuple       =     '''translation_en_to_de''' if model == T5_TINY else '''summarization'''
         _lowercase:			Tuple       =     f'''
            run_eval_search.py
            {model}
            {str(A_       )}
            {str(A_       )}
            --score_path {score_path}
            --reference_path {reference_path}
            --task {task}
            '''.split()
         testargs.extend(['''--search''', '''num_beams=1:2 length_penalty=0.9:1.0''']       )

         with patch.object(A_ ,				'''argv''' ,				A_       ):
           with CaptureStdout() as cs:
             run_search()
           _lowercase:			List[str]       =     [''' num_beams | length_penalty''', model, '''Best score args''']
           _lowercase:			Union[str, Any]       =     ['''Info''']
           if "translation" in task:
             expected_strings.append('''bleu'''       )
           else:
             expected_strings.extend(A_       )
           for w in expected_strings:
             assert w in cs.out
           for w in un_expected_strings:
             assert w not in cs.out
           assert Path(A_       ).exists()
           os.remove(Path(A_       )       )
