




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


lowerCamelCase    :		List[str]			   =       WebClient(token=os.environ["CI_SLACK_BOT_TOKEN"])

def       _SCREAMING_SNAKE_CASE      (							lowercase     :	Dict					):


      '''simple docstring'''



      lowerCamelCase_							=   test_results.split(' '					)

      lowerCamelCase_							=   0
      lowerCamelCase_							=   0

      # When the output is short enough, the output is surrounded by = signs: "== OUTPUT =="
      # When it is too long, those signs are not present.
      lowerCamelCase_							=   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       _SCREAMING_SNAKE_CASE      (							lowercase     :	Optional[Any]					):


      '''simple docstring'''



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

      return failures







class   A:



 '''simple docstring'''


 def __init__(    self :  Union[str, Any]						,							A_ :  str						,							A_ :  Dict  )       ->     Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_							=   title

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

       # Failures and success of the modeling tests
       lowerCamelCase_							=   doc_test_results

 @property
 def     a__			(    self :  int  )       ->     str:

       """simple docstring"""






       lowerCamelCase_							=   [self._time_spent]
       lowerCamelCase_							=   0

       for time in time_spent:
             lowerCamelCase_							=   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:
                   lowerCamelCase_							=   [0, 0, time_parts[0]]

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

       lowerCamelCase_							=   total_secs // 3600, (total_secs % 3600) // 60, total_secs % 60
       return f"""{int(A_  )}h{int(A_  )}m{int(A_  )}s"""

 @property
 def     a__			(    self :  Tuple  )       ->     Dict:

       """simple docstring"""






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

 @property
 def     a__			(    self :  Optional[int]  )       ->     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     a__			(    self :  List[Any]  )       ->     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     a__			(    self :  List[str]  )       ->     Dict:

       """simple docstring"""






       lowerCamelCase_							=   40
       lowerCamelCase_							=   {k: v["""failed"""] for k, v in doc_test_results.items() if isinstance(A_						,							A_  )}

       lowerCamelCase_							=   """"""
       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     a__			(    self :  Tuple  )       ->     str:

       """simple docstring"""






       lowerCamelCase_							=   [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     a__			(    )       ->     Any:

       """simple docstring"""






       lowerCamelCase_							=   [
           {
               """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     a__			(    self :  Optional[Any]  )       ->     str:

       """simple docstring"""






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

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

       lowerCamelCase_							=   client.chat_postMessage(
           channel=os.environ['CI_SLACK_CHANNEL_ID_DAILY']						,							blocks=self.payload						,							text=A_						,							)

 def     a__			(    self :  List[str]						,							A_ :  List[str]						,							A_ :  int						,							A_ :  Tuple						,							A_ :  Union[str, Any]  )       ->     Optional[int]:

       """simple docstring"""






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

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

       if job_link is not None:
             lowerCamelCase_							=   {
                 """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     a__			(    self :  Optional[Any]  )       ->     Union[str, Any]:

       """simple docstring"""






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

       lowerCamelCase_							=   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'  )

       lowerCamelCase_							=   sorted(self.doc_test_results.items()						,							key=lambda A_  : t[0]  )
       for job, job_result in sorted_dict:
             if len(job_result['failures']  ):
                   lowerCamelCase_							=   f"""*Num failures* :{len(job_result["failed"]  )} \n"""
                   lowerCamelCase_							=   job_result["""failures"""]
                   lowerCamelCase_							=   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       _SCREAMING_SNAKE_CASE      (							):


      '''simple docstring'''



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

      try:
            jobs.update({job['name']: job['html_url'] for job in result['jobs']}					)
            lowerCamelCase_							=   math.ceil((result['total_count'] - 1_00) / 1_00					)

            for i in range(A__					):
                  lowerCamelCase_							=   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       _SCREAMING_SNAKE_CASE      (							lowercase     :	str					):


      '''simple docstring'''



      lowerCamelCase_							=   {}

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

      return _artifact

def       _SCREAMING_SNAKE_CASE      (							):


      '''simple docstring'''



      class   A:



       '''simple docstring'''


       def __init__(    self :  List[Any]						,							A_ :  str  )       ->     str:

             """simple docstring"""






             lowerCamelCase_							=   name
             lowerCamelCase_							=   []

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

             """simple docstring"""






             return self.name





       def     a__			(    self :  Optional[int]						,							A_ :  str  )       ->     Optional[Any]:

             """simple docstring"""






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

      lowerCamelCase_							=   {}

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

                  _available_artifacts[artifact_name].add_path(A__					)

      return _available_artifacts


if __name__ == "__main__":
 lowerCamelCase    :		str			   =       get_job_links()
 lowerCamelCase    :		Tuple			   =       retrieve_available_artifacts()

 lowerCamelCase    :		Optional[int]			   =       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'
 lowerCamelCase    :		Any			   =       {
     v: {
         "failed": [],
         "failures": {},
     }
     for v in docs.values()
 }

 # Link to the GitHub Action job
 lowerCamelCase    :		str			   =       github_actions_job_links.get("run_doctests")

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

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

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

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

      lowerCamelCase    :		Dict			   =       all_failures[test] if test in all_failures else "N/A"
      lowerCamelCase    :		Optional[int]			   =       failure
      break

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









import os
import time

import numpy as np
import onnxruntime as ort


lowerCamelCase    :		int			   =       "1"
lowerCamelCase    :		int			   =       "0"
lowerCamelCase    :		Union[str, Any]			   =       "1"

lowerCamelCase    :		List[Any]			   =       ort.SessionOptions()
lowerCamelCase    :		Optional[Any]			   =       ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print("Create inference session...")
lowerCamelCase    :		Union[str, Any]			   =       ["TensorrtExecutionProvider", "CUDAExecutionProvider"]
lowerCamelCase    :		Tuple			   =       ort.InferenceSession("model.onnx", sess_options=sess_opt, providers=execution_provider)
lowerCamelCase    :		List[Any]			   =       ort.RunOptions()

lowerCamelCase    :		List[str]			   =       128
lowerCamelCase    :		List[Any]			   =       1
lowerCamelCase    :		Union[str, Any]			   =       np.ones((batch, sequence), dtype=np.intaa)
lowerCamelCase    :		Dict			   =       np.ones((batch, sequence), dtype=np.intaa)
lowerCamelCase    :		Optional[Any]			   =       np.ones((batch, sequence), dtype=np.intaa)

print("Warm up phase...")
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print("Start inference...")
lowerCamelCase    :		int			   =       time.time()
lowerCamelCase    :		Dict			   =       2_000
lowerCamelCase    :		Any			   =       {}
for iter in range(max_iters):
 lowerCamelCase    :		Union[str, Any]			   =       sess.run(
     None,
     {
         sess.get_inputs()[0].name: input_ids,
         sess.get_inputs()[1].name: attention_mask,
         sess.get_inputs()[2].name: token_type_ids,
     },
     run_options=run_opt,
 )
print("Average Inference Time = {:.3f} ms".format((time.time() - start_time) * 1_000 / max_iters))



