
"""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


lowercase_       :						Union[str, Any]     					=	WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])





def    _lowerCAmelCase    (     lowerCamelCase__							:							Any				)  ->    Optional[Any]:
  _SCREAMING_SNAKE_CASE   :				Optional[int]							    = test_results.split(" "				)

  _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = 0
  _SCREAMING_SNAKE_CASE   :				Tuple							    = 0

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

  for i, expression in enumerate(lowerCamelCase__				):
    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__							:							str				)  ->    str:
  _SCREAMING_SNAKE_CASE   :				List[str]							    = {}
  _SCREAMING_SNAKE_CASE   :				List[str]							    = None
  _SCREAMING_SNAKE_CASE   :				Any							    = False
  for line in failures_short_lines.split("\n"				):
    if re.search(R"_ \[doctest\]",						lowerCamelCase__				):
      _SCREAMING_SNAKE_CASE   :				str							    = True
      _SCREAMING_SNAKE_CASE   :				List[str]							    = line.split(" "				)[2]
    elif in_error and not line.split(" "				)[0].isdigit():
      _SCREAMING_SNAKE_CASE   :				str							    = line
      _SCREAMING_SNAKE_CASE   :				Optional[int]							    = False

  return failures
class 			UpperCamelCase      :
     def __init__(     self  ,     snake_case__  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = title

       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = doc_test_results["time_spent"].split(","				)[0]
       _SCREAMING_SNAKE_CASE   :				Dict							    = doc_test_results["success"]
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = doc_test_results["failures"]
       _SCREAMING_SNAKE_CASE   :				Any							    = self.n_success + self.n_failures

       # Failures and success of the modeling tests
       _SCREAMING_SNAKE_CASE   :				int							    = doc_test_results
     @property
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = [self._time_spent]
       _SCREAMING_SNAKE_CASE   :				int							    = 0

       for time in time_spent:
         _SCREAMING_SNAKE_CASE   :				Tuple							    = 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(snake_case__				) == 1:
           _SCREAMING_SNAKE_CASE   :				List[Any]							    = [0, 0, time_parts[0]]

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

       _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Any							    = total_secs // 3600, (total_secs % 3600) // 60, total_secs % 60
       return F'''{int(snake_case__				)}h{int(snake_case__				)}m{int(snake_case__				)}s'''
     @property
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       return {"type": "header", "text": {"type": "plain_text", "text": self.title}}
     @property
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """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 				__SCREAMING_SNAKE_CASE							(     self				):




       """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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = 40
       _SCREAMING_SNAKE_CASE   :				int							    = {k: v["failed"] for k, v in doc_test_results.items() if isinstance(snake_case__  ,     snake_case__				)}

       _SCREAMING_SNAKE_CASE   :				str							    = ""
       for category, failures in category_failures.items():
         if len(snake_case__				) == 0:
           continue

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

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

       return {
           "type": "section",
           "text": {
               "type": "mrkdwn",
               "text": F'''The following examples had failures:\n\n\n{report}\n''',
           },
       }
     @property
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = [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(snake_case__				)
     @staticmethod
     def 				__SCREAMING_SNAKE_CASE							(     ):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = [
           {
               "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(snake_case__				)}				)				)

       client.chat_postMessage(
           channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]  ,     text="There was an issue running the tests."  ,     blocks=snake_case__  ,     )
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


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

       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = F'''{self.n_failures} failures out of {self.n_tests} tests,''' if self.n_failures else "All tests passed."

       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = client.chat_postMessage(
           channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]  ,     blocks=self.payload  ,     text=snake_case__  ,     )
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__  ,     snake_case__  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = ""
       for key, value in failures.items():
         _SCREAMING_SNAKE_CASE   :				Tuple							    = value[:200] + " [Truncated]" if len(snake_case__				) > 250 else value
         failures_text += F'''*{key}*\n_{value}_\n\n'''

       _SCREAMING_SNAKE_CASE   :				str							    = job_name
       _SCREAMING_SNAKE_CASE   :				Dict							    = {"type": "section", "text": {"type": "mrkdwn", "text": text}}

       if job_link is not None:
         _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


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

       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = 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"				)

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

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

           time.sleep(1				)





def    _lowerCAmelCase    (     )  ->    Any:
  _SCREAMING_SNAKE_CASE   :				List[str]							    = os.environ["GITHUB_RUN_ID"]
  _SCREAMING_SNAKE_CASE   :				List[Any]							    = f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100'''
  _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = requests.get(lowerCamelCase__				).json()
  _SCREAMING_SNAKE_CASE   :				Optional[int]							    = {}

  try:
    jobs.update({job["name"]: job["html_url"] for job in result["jobs"]}				)
    _SCREAMING_SNAKE_CASE   :				Tuple							    = math.ceil((result["total_count"] - 1_0_0) / 1_0_0				)

    for i in range(lowerCamelCase__				):
      _SCREAMING_SNAKE_CASE   :				Optional[int]							    = 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.",						lowerCamelCase__				)

  return {}





def    _lowerCAmelCase    (     lowerCamelCase__							:							str				)  ->    List[Any]:
  _SCREAMING_SNAKE_CASE   :				Tuple							    = {}

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

  return _artifact





def    _lowerCAmelCase    (     )  ->    Dict:
  class 			UpperCamelCase      :
       def __init__(     self  ,     snake_case__				):




         """simple docstring"""


         _SCREAMING_SNAKE_CASE   :				Tuple							    = name
         _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = []
       def __str__(     self				):




         """simple docstring"""


         return self.name




       def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




         """simple docstring"""


         self.paths.append({"name": self.name, "path": path}				)
  _SCREAMING_SNAKE_CASE   :				Dict[str, Artifact]							    = {}

  _SCREAMING_SNAKE_CASE   :				Dict							    = filter(os.path.isdir,						os.listdir()				)
  for directory in directories:
    _SCREAMING_SNAKE_CASE   :				Any							    = directory
    if artifact_name not in _available_artifacts:
      _SCREAMING_SNAKE_CASE   :				Dict							    = Artifact(lowerCamelCase__				)

      _available_artifacts[artifact_name].add_path(lowerCamelCase__				)

  return _available_artifacts


if __name__ == "__main__":
      lowercase_       :						str     					=	get_job_links()
      lowercase_       :						str     					=	retrieve_available_artifacts()

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

      # Link to the GitHub Action job
      lowercase_       :						Optional[Any]     					=	github_actions_job_links.get('''run_doctests''')

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

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

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

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

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

      lowercase_       :						Union[str, Any]     					=	Message('''🤗 Results of the doc tests.''', doc_test_results)
      message.post()
      message.post_reply()





"""simple docstring"""
import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def    _lowerCAmelCase    (     lowerCamelCase__							:							Any,						lowerCamelCase__							:							Optional[Any],						lowerCamelCase__							:							List[str],						lowerCamelCase__							:							Any=1_0_2_4				)  ->    Optional[int]:
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				int							    = [], []

  _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = list(zip(lowerCamelCase__,						lowerCamelCase__				)				)
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				List[Any]							    = sorted_examples[0]

  def is_too_big(lowerCamelCase__							:							List[Any]				):
    return tok(lowerCamelCase__,						return_tensors="pt"				).input_ids.shape[1] > max_tokens

  for src, tgt in tqdm(sorted_examples[1:]				):
    _SCREAMING_SNAKE_CASE   :				int							    = new_src + " " + src
    _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = new_tgt + " " + tgt
    if is_too_big(lowerCamelCase__				) or is_too_big(lowerCamelCase__				):  # cant fit, finalize example
      finished_src.append(lowerCamelCase__				)
      finished_tgt.append(lowerCamelCase__				)
      _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Any							    = src, tgt
    else:  # can fit, keep adding
      _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Optional[Any]							    = cand_src, cand_tgt

    # cleanup
  if new_src:
    assert new_tgt
    finished_src.append(lowerCamelCase__				)
    finished_tgt.append(lowerCamelCase__				)
  return finished_src, finished_tgt





def    _lowerCAmelCase    (     lowerCamelCase__							:							List[str],						lowerCamelCase__							:							Path,						lowerCamelCase__							:							Dict,						lowerCamelCase__							:							List[str]				)  ->    List[Any]:
  _SCREAMING_SNAKE_CASE   :				int							    = Path(lowerCamelCase__				)
  save_path.mkdir(exist_ok=lowerCamelCase__				)
  for split in ["train"]:
    _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Dict							    = data_dir / f'''{split}.source''', data_dir / f'''{split}.target'''
    _SCREAMING_SNAKE_CASE   :				Any							    = [x.rstrip() for x in Path(lowerCamelCase__				).open().readlines()]
    _SCREAMING_SNAKE_CASE   :				int							    = [x.rstrip() for x in Path(lowerCamelCase__				).open().readlines()]
    _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Any							    = pack_examples(lowerCamelCase__,						lowerCamelCase__,						lowerCamelCase__,						lowerCamelCase__				)
    print(f'''packed {split} split from {len(lowerCamelCase__				)} examples -> {len(lowerCamelCase__				)}.'''				)
    Path(save_path / f'''{split}.source'''				).open("w"				).write("\n".join(lowerCamelCase__				)				)
    Path(save_path / f'''{split}.target'''				).open("w"				).write("\n".join(lowerCamelCase__				)				)
  for split in ["val", "test"]:
    _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				int							    = data_dir / f'''{split}.source''', data_dir / f'''{split}.target'''
    shutil.copyfile(lowerCamelCase__,						save_path / f'''{split}.source'''				)
    shutil.copyfile(lowerCamelCase__,						save_path / f'''{split}.target'''				)





def    _lowerCAmelCase    (     )  ->    int:
  _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = argparse.ArgumentParser()
  parser.add_argument("--tok_name",						type=lowerCamelCase__,						help="like facebook/bart-large-cnn,t5-base, etc."				)
  parser.add_argument("--max_seq_len",						type=lowerCamelCase__,						default=1_2_8				)
  parser.add_argument("--data_dir",						type=lowerCamelCase__				)
  parser.add_argument("--save_path",						type=lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE   :				Tuple							    = parser.parse_args()
  _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = AutoTokenizer.from_pretrained(args.tok_name				)
  return pack_data_dir(lowerCamelCase__,						Path(args.data_dir				),						args.max_seq_len,						args.save_path				)


if __name__ == "__main__":
      packer_cli()



