


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


SCREAMING_SNAKE_CASE		:Tuple     						=   WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])



def 	_lowerCAmelCase  (							lowerCAmelCase_							:Any							)->Tuple:
   '''simple docstring'''






   snake_case_    			=    test_results.split(" "							)

   snake_case_    			=    0
   snake_case_    			=    0

   # When the output is short enough, the output is surrounded by = signs: "== OUTPUT =="
   # When it is too long, those signs are not present.
   snake_case_    			=    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  (							lowerCAmelCase_							:List[str]							)->Union[str, Any]:
   '''simple docstring'''






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

   return failures


class 			__lowerCAmelCase   :






  """simple docstring"""





  def __init__(   self				:				Optional[Any]			, _lowerCAmelCase				:				str			, _lowerCAmelCase				:				Dict     )      ->       str:




     """simple docstring"""
     snake_case_    			=    title

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

     # Failures and success of the modeling tests
     snake_case_    			=    doc_test_results



  @property
  def     lowerCAmelCase__     (   self				:				Dict     )      ->       str:




     """simple docstring"""
     snake_case_    			=    [self._time_spent]
     snake_case_    			=    0

     for time in time_spent:
        snake_case_    			=    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(UpperCAmelCase__     ) == 1:
           snake_case_    			=    [0, 0, time_parts[0]]

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

     snake_case_    			=    total_secs // 3_6_0_0, (total_secs % 3_6_0_0) // 6_0, total_secs % 6_0
     return F'''{int(UpperCAmelCase__     )}h{int(UpperCAmelCase__     )}m{int(UpperCAmelCase__     )}s'''



  @property
  def     lowerCAmelCase__     (   self				:				Dict     )      ->       Dict:




     """simple docstring"""
     return {"type": "header", "text": {"type": "plain_text", "text": self.title}}



  @property
  def     lowerCAmelCase__     (   self				:				Tuple     )      ->       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     lowerCAmelCase__     (   self				:				Optional[int]     )      ->       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     lowerCAmelCase__     (   self				:				Tuple     )      ->       Dict:




     """simple docstring"""
     snake_case_    			=    4_0
     snake_case_    			=    {k: v["""failed"""] for k, v in doc_test_results.items() if isinstance(UpperCAmelCase__			, UpperCAmelCase__     )}

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

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

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

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



  @property
  def     lowerCAmelCase__     (   self				:				List[Any]     )      ->       str:




     """simple docstring"""
     snake_case_    			=    [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(UpperCAmelCase__     )



  @staticmethod
  def     lowerCAmelCase__     (   )      ->       List[str]:




     """simple docstring"""
     snake_case_    			=    [
         {
             """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(UpperCAmelCase__     )}     )     )

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



  def     lowerCAmelCase__     (   self				:				Union[str, Any]     )      ->       int:




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

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

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



  def     lowerCAmelCase__     (   self				:				Union[str, Any]			, _lowerCAmelCase				:				Union[str, Any]			, _lowerCAmelCase				:				int			, _lowerCAmelCase				:				Tuple			, _lowerCAmelCase				:				List[str]     )      ->       Union[str, Any]:




     """simple docstring"""
     snake_case_    			=    """"""
     for key, value in failures.items():
        snake_case_    			=    value[:2_0_0] + """ [Truncated]""" if len(UpperCAmelCase__     ) > 2_5_0 else value
        failures_text += F'''*{key}*\n_{value}_\n\n'''

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

     if job_link is not None:
        snake_case_    			=    {
            """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     lowerCAmelCase__     (   self				:				List[Any]     )      ->       Tuple:




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

     snake_case_    			=    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"     )

     snake_case_    			=    sorted(self.doc_test_results.items()			, key=lambda _lowerCAmelCase     : t[0]     )
     for job, job_result in sorted_dict:
        if len(job_result["failures"]     ):
           snake_case_    			=    F'''*Num failures* :{len(job_result['failed']     )} \n'''
           snake_case_    			=    job_result["""failures"""]
           snake_case_    			=    self.get_reply_blocks(UpperCAmelCase__			, UpperCAmelCase__			, UpperCAmelCase__			, text=UpperCAmelCase__     )

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

           time.sleep(1     )






def 	_lowerCAmelCase  (							)->Optional[int]:
   '''simple docstring'''






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

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

      for i in range(UpperCamelCase__							):
         snake_case_    			=    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  (							lowerCAmelCase_							:List[str]							)->Optional[Any]:
   '''simple docstring'''






   snake_case_    			=    {}

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

   return _artifact



def 	_lowerCAmelCase  (							)->int:
   '''simple docstring'''






   class 			__lowerCAmelCase   :






     """simple docstring"""





     def __init__(   self				:				int			, _lowerCAmelCase				:				str     )      ->       int:




        """simple docstring"""
        snake_case_    			=    name
        snake_case_    			=    []



     def __str__(   self				:				List[str]     )      ->       Optional[Any]:




        """simple docstring"""
        return self.name



     def     lowerCAmelCase__     (   self				:				Optional[int]			, _lowerCAmelCase				:				str     )      ->       str:




        """simple docstring"""
        self.paths.append({"name": self.name, "path": path}     )






   snake_case_    			=    {}

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

         _available_artifacts[artifact_name].add_path(UpperCamelCase__							)

   return _available_artifacts


if __name__ == "__main__":
   SCREAMING_SNAKE_CASE		:Any     						=   get_job_links()
   SCREAMING_SNAKE_CASE		:Optional[int]     						=   retrieve_available_artifacts()

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

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

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

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

            if "::" in line:
               SCREAMING_SNAKE_CASE						,		SCREAMING_SNAKE_CASE		:Dict     						=   line.split('''::''')
            else:
               SCREAMING_SNAKE_CASE						,		SCREAMING_SNAKE_CASE		:Optional[int]     						=   line, line

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

                  SCREAMING_SNAKE_CASE		:Any     						=   all_failures[test] if test in all_failures else '''N/A'''
                  SCREAMING_SNAKE_CASE		:Optional[Any]     						=   failure
                  break

   SCREAMING_SNAKE_CASE		:Optional[int]     						=   Message('''🤗 Results of the doc tests.''', doc_test_results)
   message.post()
   message.post_reply()












"""simple docstring"""




import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case          =   logging.get_logger(__name__)

_snake_case          =   {
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}






class        UpperCamelCase			(	snake_case_      ):
 UpperCamelCase					:       int			=					'''mvp'''
 UpperCamelCase					:       Union[str, Any]			=					['''past_key_values''']
 UpperCamelCase					:       Any			=					{'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}


 def __init__(     self		:						List[str]							,						UpperCAmelCase__		:						List[str]=50267							,						UpperCAmelCase__		:						Optional[Any]=1024							,						UpperCAmelCase__		:						Tuple=12							,						UpperCAmelCase__		:						Optional[Any]=4096							,						UpperCAmelCase__		:						int=16							,						UpperCAmelCase__		:						Tuple=12							,						UpperCAmelCase__		:						int=4096							,						UpperCAmelCase__		:						List[Any]=16							,						UpperCAmelCase__		:						Tuple=0.0							,						UpperCAmelCase__		:						Tuple=0.0							,						UpperCAmelCase__		:						Tuple="gelu"							,						UpperCAmelCase__		:						Union[str, Any]=1024							,						UpperCAmelCase__		:						List[str]=0.1							,						UpperCAmelCase__		:						Any=0.0							,						UpperCAmelCase__		:						Dict=0.0							,						UpperCAmelCase__		:						Tuple=0.0_2							,						UpperCAmelCase__		:						Tuple=0.0							,						UpperCAmelCase__		:						Optional[Any]=False							,						UpperCAmelCase__		:						int=True							,						UpperCAmelCase__		:						Tuple=1							,						UpperCAmelCase__		:						Dict=0							,						UpperCAmelCase__		:						Union[str, Any]=2							,						UpperCAmelCase__		:						Optional[int]=True							,						UpperCAmelCase__		:						Tuple=2							,						UpperCAmelCase__		:						Any=2							,						UpperCAmelCase__		:						Optional[Any]=False							,						UpperCAmelCase__		:						Dict=100							,						UpperCAmelCase__		:						Union[str, Any]=800							,						**UpperCAmelCase__		:						Dict							,						)					->       List[Any]:
   _a  :       Any             =	vocab_size
   _a  :       Any             =	max_position_embeddings
   _a  :       Union[str, Any]             =	d_model
   _a  :       List[str]             =	encoder_ffn_dim
   _a  :       List[Any]             =	encoder_layers
   _a  :       Dict             =	encoder_attention_heads
   _a  :       Tuple             =	decoder_ffn_dim
   _a  :       List[Any]             =	decoder_layers
   _a  :       Optional[Any]             =	decoder_attention_heads
   _a  :       Optional[Any]             =	dropout
   _a  :       str             =	attention_dropout
   _a  :       Dict             =	activation_dropout
   _a  :       Any             =	activation_function
   _a  :       Tuple             =	init_std
   _a  :       Dict             =	encoder_layerdrop
   _a  :       Optional[int]             =	decoder_layerdrop
   _a  :       Optional[Any]             =	classifier_dropout
   _a  :       List[Any]             =	use_cache
   _a  :       Dict             =	encoder_layers
   _a  :       str             =	scale_embedding  # scale factor will be sqrt(d_model) if True
   _a  :       int             =	use_prompt
   _a  :       Dict             =	prompt_length
   _a  :       Dict             =	prompt_mid_dim

   super().__init__(
       pad_token_id=UpperCAmelCase__							,						bos_token_id=UpperCAmelCase__							,						eos_token_id=UpperCAmelCase__							,						is_encoder_decoder=UpperCAmelCase__							,						decoder_start_token_id=UpperCAmelCase__							,						forced_eos_token_id=UpperCAmelCase__							,						**UpperCAmelCase__							,						)

   if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""							,						UpperCAmelCase__							):
     _a  :       List[str]             =	self.bos_token_id
     warnings.warn(
         f"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
         """The config can simply be saved and uploaded again to be fixed."""							)

