

"""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							=							WebClient(token=os.environ['CI_SLACK_BOT_TOKEN'])




def   _A  (  UpperCamelCase_					:	Dict)     ->						int:
   '''simple docstring'''


   __lowercase								=						test_results.split(" ")

   __lowercase								=						0
   __lowercase								=						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								=						expressions[-2] if "=" in expressions[-1] else expressions[-1]

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

   return failed, success, time_spent




def   _A  (  UpperCamelCase_					:	Union[str, Any])     ->						Union[str, Any]:
   '''simple docstring'''


   __lowercase								=						{}
   __lowercase								=						None
   __lowercase								=						False
   for line in failures_short_lines.split("\n"):
      if re.search(r"_ \[doctest\]",      a_):
         __lowercase								=						True
         __lowercase								=						line.split(" ")[2]
      elif in_error and not line.split(" ")[0].isdigit():
         __lowercase								=						line
         __lowercase								=						False

   return failures




class  _lowerCAmelCase  :







 """simple docstring"""







 def __init__(      self							:      Any, UpperCAmelCase__							:      str, UpperCAmelCase__							:      Dict     ):
    __lowercase								=						title

    __lowercase								=						doc_test_results["time_spent"].split(","     )[0]
    __lowercase								=						doc_test_results["success"]
    __lowercase								=						doc_test_results["failures"]
    __lowercase								=						self.n_success + self.n_failures

    # Failures and success of the modeling tests
    __lowercase								=						doc_test_results


 @property
 def  _lowercase			(      self							:      Dict     ):
    __lowercase								=						[self._time_spent]
    __lowercase								=						0

    for time in time_spent:
       __lowercase								=						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(lowerCAmelCase__     ) == 1:
          __lowercase								=						[0, 0, time_parts[0]]

       __lowercase								=						int(time_parts[0]     ), int(time_parts[1]     ), float(time_parts[2]     )
       total_secs += hours * 3_6_0_0 + minutes * 6_0 + seconds

    __lowercase								=						total_secs // 3_6_0_0, (total_secs % 3_6_0_0) // 6_0, total_secs % 6_0
    return F"""{int(lowerCAmelCase__     )}h{int(lowerCAmelCase__     )}m{int(lowerCAmelCase__     )}s"""


 @property
 def  _lowercase			(      self							:      Union[str, Any]     ):
    return {"type": "header", "text": {"type": "plain_text", "text": self.title}}


 @property
 def  _lowercase			(      self							:      Tuple     ):
    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							:      int     ):
    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							:      str     ):
    __lowercase								=						4_0
    __lowercase								=						{k: v["failed"] for k, v in doc_test_results.items() if isinstance(lowerCAmelCase__, lowerCAmelCase__     )}

    __lowercase								=						""
    for category, failures in category_failures.items():
       if len(lowerCAmelCase__     ) == 0:
          continue

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

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

    return {
        "type": "section",
        "text": {
            "type": "mrkdwn",
            "text": F"""The following examples had failures:\n\n\n{report}\n""",
        },
    }


 @property
 def  _lowercase			(      self							:      List[str]     ):
    __lowercase								=						[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(lowerCAmelCase__     )


 @staticmethod
 def  _lowercase			(      ):
    __lowercase								=						[
        {
            "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(lowerCAmelCase__     )}     )     )

    client.chat_postMessage(
        channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"], text="There was an issue running the tests.", blocks=lowerCAmelCase__, )


 def  _lowercase			(      self							:      Optional[Any]     ):
    print("Sending the following payload"     )
    print(json.dumps({"blocks": json.loads(self.payload     )}     )     )

    __lowercase								=						F"""{self.n_failures} failures out of {self.n_tests} tests,""" if self.n_failures else "All tests passed."

    __lowercase								=						client.chat_postMessage(
        channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"], blocks=self.payload, text=lowerCAmelCase__, )


 def  _lowercase			(      self							:      Union[str, Any], UpperCAmelCase__							:      Union[str, Any], UpperCAmelCase__							:      Dict, UpperCAmelCase__							:      Optional[int], UpperCAmelCase__							:      List[str]     ):
    __lowercase								=						""
    for key, value in failures.items():
       __lowercase								=						value[:2_0_0] + " [Truncated]" if len(lowerCAmelCase__     ) > 2_5_0 else value
       failures_text += F"""*{key}*\n_{value}_\n\n"""

    __lowercase								=						job_name
    __lowercase								=						{"type": "section", "text": {"type": "mrkdwn", "text": text}}

    if job_link is not None:
       __lowercase								=						{
           "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							:      Any     ):




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

    __lowercase								=						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								=						sorted(self.doc_test_results.items(), key=lambda UpperCAmelCase__     : t[0]     )
    for job, job_result in sorted_dict:
       if len(job_result["failures"]     ):
          __lowercase								=						F"""*Num failures* :{len(job_result["failed"]     )} \n"""
          __lowercase								=						job_result["failures"]
          __lowercase								=						self.get_reply_blocks(lowerCAmelCase__, lowerCAmelCase__, lowerCAmelCase__, text=lowerCAmelCase__     )

          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=lowerCAmelCase__, thread_ts=self.thread_ts["ts"], )

          time.sleep(1     )







def   _A  (  )     ->						Tuple:
   '''simple docstring'''


   __lowercase								=						os.environ["GITHUB_RUN_ID"]
   __lowercase								=						F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100"""
   __lowercase								=						requests.get(a_).json()
   __lowercase								=						{}

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

      for i in range(a_):
         __lowercase								=						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.",      a_)

   return {}




def   _A  (  UpperCamelCase_					:	str)     ->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						{}

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

   return _artifact




def   _A  (  )     ->						Tuple:
   '''simple docstring'''


   class  _lowerCAmelCase  :







    """simple docstring"""







    def __init__(      self							:      Optional[Any], UpperCAmelCase__							:      str     ):
       __lowercase								=						name
       __lowercase								=						[]


    def __str__(      self							:      List[Any]     ):
       return self.name



    def  _lowercase			(      self							:      List[Any], UpperCAmelCase__							:      str     ):
       self.paths.append({"name": self.name, "path": path}     )







   __lowercase								=						{}

   __lowercase								=						filter(os.path.isdir,      os.listdir())
   for directory in directories:
      __lowercase								=						directory
      if artifact_name not in _available_artifacts:
         __lowercase								=						Artifact(a_)

         _available_artifacts[artifact_name].add_path(a_)

   return _available_artifacts


if __name__ == "__main__":
  _a							=							get_job_links()
  _a							=							retrieve_available_artifacts()

  _a							=							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							=							{
      v: {
          'failed': [],
          'failures': {},
      }
      for v in docs.values()
  }

  # Link to the GitHub Action job
  _a							=							github_actions_job_links.get('run_doctests')

  _a							=							available_artifacts['doc_tests_gpu_test_reports'].paths[0]
  _a							=							retrieve_artifact(artifact_path['name'])
  if "stats" in artifact:
    _a				,						_a				,						_a							=							handle_test_results(artifact['stats'])
    _a							=							failed
    _a							=							success
    _a							=							time_spent[1:-1] + ', '

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

        if "::" in line:
          _a				,						_a							=							line.split('::')
        else:
          _a				,						_a							=							line, line

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

            _a							=							all_failures[test] if test in all_failures else 'N/A'
            _a							=							failure
            break

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







"""simple docstring"""





import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def   _A  (  UpperCamelCase_					:	str,      UpperCamelCase_					:	str,      **UpperCamelCase_					:	Optional[int])     ->						Tuple:
   '''simple docstring'''


   __lowercase								=						AutoConfig.from_pretrained(UpperCamelCase_,      **UpperCamelCase_)
   __lowercase								=						AutoModelForSeqaSeqLM.from_config(UpperCamelCase_)
   model.save_pretrained(UpperCamelCase_)
   AutoTokenizer.from_pretrained(UpperCamelCase_).save_pretrained(UpperCamelCase_)
   return model


if __name__ == "__main__":
   fire.Fire(save_randomly_initialized_version)




