
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests


def    A (      lowercase					, lowercase=None				)     ->						Tuple:
		'''simple docstring'''

		UpperCamelCase						=  None
		if token is not None:
				UpperCamelCase						=  {'Accept': 'application/vnd.github+json', 'Authorization': f'''Bearer {token}'''}

		UpperCamelCase						=  f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
		UpperCamelCase						=  requests.get(lowercase					, headers=lowercase				).json()
		UpperCamelCase						=  {}

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

				for i in range(lowercase				):
						UpperCamelCase						=  requests.get(url + f'''&page={i + 2}'''					, headers=lowercase				).json()
						job_links.update({job['name']: job['html_url'] for job in result['jobs']}				)

				return job_links
		except Exception:
				print(f'''Unknown error, could not fetch links:\n{traceback.format_exc()}'''				)

		return {}


def    A (      lowercase					, lowercase=None				)     ->						List[Any]:
		'''simple docstring'''

		UpperCamelCase						=  None
		if token is not None:
				UpperCamelCase						=  {'Accept': 'application/vnd.github+json', 'Authorization': f'''Bearer {token}'''}

		UpperCamelCase						=  f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
		UpperCamelCase						=  requests.get(lowercase					, headers=lowercase				).json()
		UpperCamelCase						=  {}

		try:
				artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}				)
				UpperCamelCase						=  math.ceil((result['total_count'] - 100) / 100				)

				for i in range(lowercase				):
						UpperCamelCase						=  requests.get(url + f'''&page={i + 2}'''					, headers=lowercase				).json()
						artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}				)

				return artifacts
		except Exception:
				print(f'''Unknown error, could not fetch links:\n{traceback.format_exc()}'''				)

		return {}


def    A (      lowercase					, lowercase					, lowercase					, lowercase				)     ->						Optional[int]:
		'''simple docstring'''

		UpperCamelCase						=  None
		if token is not None:
				UpperCamelCase						=  {'Accept': 'application/vnd.github+json', 'Authorization': f'''Bearer {token}'''}

		UpperCamelCase						=  requests.get(lowercase					, headers=lowercase					, allow_redirects=lowercase				)
		UpperCamelCase						=  result.headers['Location']
		UpperCamelCase						=  requests.get(lowercase					, allow_redirects=lowercase				)
		UpperCamelCase						=  os.path.join(lowercase					, f'''{artifact_name}.zip'''				)
		with open(lowercase					, 'wb'				) as fp:
				fp.write(response.content				)


def    A (      lowercase					, lowercase=None				)     ->						Any:
		'''simple docstring'''

		UpperCamelCase						=  []
		UpperCamelCase						=  []
		UpperCamelCase						=  None

		with zipfile.ZipFile(lowercase				) as z:
				for filename in z.namelist():
						if not os.path.isdir(lowercase				):
								# read the file
								if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
										with z.open(lowercase				) as f:
												for line in f:
														UpperCamelCase						=  line.decode('UTF-8'				).strip()
														if filename == "failures_line.txt":
																try:
																		# `error_line` is the place where `error` occurs
																		UpperCamelCase						=  line[: line.index(': '				)]
																		UpperCamelCase						=  line[line.index(': '				) + len(': '				) :]
																		errors.append([error_line, error]				)
																except Exception:
																		# skip un-related lines
																		pass
														elif filename == "summary_short.txt" and line.startswith('FAILED '				):
																# `test` is the test method that failed
																UpperCamelCase						=  line[len('FAILED '				) :]
																failed_tests.append(lowercase				)
														elif filename == "job_name.txt":
																UpperCamelCase						=  line

		if len(lowercase				) != len(lowercase				):
				raise ValueError(
				    f'''`errors` and `failed_tests` should have the same number of elements. Got {len(lowercase				)} for `errors` '''
				    f'''and {len(lowercase				)} for `failed_tests` instead. The test reports in {artifact_zip_path} have some'''
				    ' problem.'				)

		UpperCamelCase						=  None
		if job_name and job_links:
				UpperCamelCase						=  job_links.get(lowercase					, lowercase				)

		# A list with elements of the form (line of error, error, failed test)
		UpperCamelCase						=  [x + [y] + [job_link] for x, y in zip(lowercase					, lowercase				)]

		return result


def    A (      lowercase					, lowercase=None				)     ->						Union[str, Any]:
		'''simple docstring'''

		UpperCamelCase						=  []

		UpperCamelCase						=  [os.path.join(lowercase					, lowercase				) for p in os.listdir(lowercase				) if p.endswith('.zip'				)]
		for p in paths:
				errors.extend(get_errors_from_single_artifact(lowercase					, job_links=lowercase				)				)

		return errors


def    A (      lowercase					, lowercase=None				)     ->						Any:
		'''simple docstring'''

		UpperCamelCase						=  Counter()
		counter.update([x[1] for x in logs]				)
		UpperCamelCase						=  counter.most_common()
		UpperCamelCase						=  {}
		for error, count in counts:
				if error_filter is None or error not in error_filter:
						UpperCamelCase						=  {'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

		UpperCamelCase						=  dict(sorted(r.items()					, key=lambda lowercase				: item[1]["count"]					, reverse=lowercase				)				)
		return r


def    A (      lowercase				)     ->						List[str]:
		'''simple docstring'''

		UpperCamelCase						=  test.split('::'				)[0]
		if test.startswith('tests/models/'				):
				UpperCamelCase						=  test.split('/'				)[2]
		else:
				UpperCamelCase						=  None

		return test


def    A (      lowercase					, lowercase=None				)     ->						List[Any]:
		'''simple docstring'''

		UpperCamelCase						=  [(x[0], x[1], get_model(x[2]				)) for x in logs]
		UpperCamelCase						=  [x for x in logs if x[2] is not None]
		UpperCamelCase						=  {x[2] for x in logs}

		UpperCamelCase						=  {}
		for test in tests:
				UpperCamelCase						=  Counter()
				# count by errors in `test`
				counter.update([x[1] for x in logs if x[2] == test]				)
				UpperCamelCase						=  counter.most_common()
				UpperCamelCase						=  {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
				UpperCamelCase						=  sum(error_counts.values()				)
				if n_errors > 0:
						UpperCamelCase						=  {'count': n_errors, 'errors': error_counts}

		UpperCamelCase						=  dict(sorted(r.items()					, key=lambda lowercase				: item[1]["count"]					, reverse=lowercase				)				)
		return r


def    A (      lowercase				)     ->						Any:
		'''simple docstring'''

		UpperCamelCase						=  '| no. | error | status |'
		UpperCamelCase						=  '|-:|:-|:-|'
		UpperCamelCase						=  [header, sep]
		for error in reduced_by_error:
				UpperCamelCase						=  reduced_by_error[error]['count']
				UpperCamelCase						=  f'''| {count} | {error[:100]} |  |'''
				lines.append(lowercase				)

		return "\n".join(lowercase				)


def    A (      lowercase				)     ->						Optional[Any]:
		'''simple docstring'''

		UpperCamelCase						=  '| model | no. of errors | major error | count |'
		UpperCamelCase						=  '|-:|-:|-:|-:|'
		UpperCamelCase						=  [header, sep]
		for model in reduced_by_model:
				UpperCamelCase						=  reduced_by_model[model]['count']
				UpperCamelCase			,						UpperCamelCase						=  list(reduced_by_model[model]['errors'].items()				)[0]
				UpperCamelCase						=  f'''| {model} | {count} | {error[:60]} | {_count} |'''
				lines.append(lowercase				)

		return "\n".join(lowercase				)


if __name__ == "__main__":
					_UpperCAmelCase      :				List[str]          = argparse.ArgumentParser()
					# Required parameters
					parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
					parser.add_argument(
					    "--output_dir",
					    type=str,
					    required=True,
					    help="Where to store the downloaded artifacts and other result files.",
					)
					parser.add_argument("--token", default=None, type=str, help="A token that has actions:read permission.")
					_UpperCAmelCase      :				Union[str, Any]          = parser.parse_args()

					os.makedirs(args.output_dir, exist_ok=True)

					_UpperCAmelCase      :				str          = get_job_links(args.workflow_run_id, token=args.token)
					_UpperCAmelCase      :				List[str]          = {}
					# To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
					# For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
					if _job_links:
										for k, v in _job_links.items():
															# This is how GitHub actions combine job names.
															if " / " in k:
																				_UpperCAmelCase      :				Optional[Any]          = k.find(" / ")
																				_UpperCAmelCase      :				Union[str, Any]          = k[index + len(" / ") :]
															_UpperCAmelCase      :				int          = v
					with open(os.path.join(args.output_dir, "job_links.json"), "w", encoding="UTF-8") as fp:
										json.dump(job_links, fp, ensure_ascii=False, indent=4)

					_UpperCAmelCase      :				int          = get_artifacts_links(args.workflow_run_id, token=args.token)
					with open(os.path.join(args.output_dir, "artifacts.json"), "w", encoding="UTF-8") as fp:
										json.dump(artifacts, fp, ensure_ascii=False, indent=4)

					for idx, (name, url) in enumerate(artifacts.items()):
										download_artifact(name, url, args.output_dir, args.token)
										# Be gentle to GitHub
										time.sleep(1)

					_UpperCAmelCase      :				str          = get_all_errors(args.output_dir, job_links=job_links)

					# `e[1]` is the error
					_UpperCAmelCase      :				str          = Counter()
					counter.update([e[1] for e in errors])

					# print the top 30 most common test errors
					_UpperCAmelCase      :				Dict          = counter.most_common(30)
					for item in most_common:
										print(item)

					with open(os.path.join(args.output_dir, "errors.json"), "w", encoding="UTF-8") as fp:
										json.dump(errors, fp, ensure_ascii=False, indent=4)

					_UpperCAmelCase      :				str          = reduce_by_error(errors)
					_UpperCAmelCase      :				Union[str, Any]          = reduce_by_model(errors)

					_UpperCAmelCase      :				Tuple          = make_github_table(reduced_by_error)
					_UpperCAmelCase      :				int          = make_github_table_per_model(reduced_by_model)

					with open(os.path.join(args.output_dir, "reduced_by_error.txt"), "w", encoding="UTF-8") as fp:
										fp.write(sa)
					with open(os.path.join(args.output_dir, "reduced_by_model.txt"), "w", encoding="UTF-8") as fp:
										fp.write(sa)


import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase      :				Dict          = logging.get_logger(__name__)


_UpperCAmelCase      :				Optional[Any]          = {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

_UpperCAmelCase      :				str          = {
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

_UpperCAmelCase      :				List[str]          = {"facebook/blenderbot_small-90M": 512}


def    A (      lowercase				)     ->						Optional[Any]:
		'''simple docstring'''

		UpperCamelCase						=  set()
		UpperCamelCase						=  word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)				)
				UpperCamelCase						=  char

		UpperCamelCase						=  set(lowercase				)
		return pairs


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Optional[Any]			  =       VOCAB_FILES_NAMES
		__lowercase : Tuple			  =       PRETRAINED_VOCAB_FILES_MAP
		__lowercase : List[Any]			  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase : Any			  =       ["input_ids", "attention_mask"]



		def __init__(				self       ,   A_       ,   A_       ,   A_="__start__"       ,   A_="__end__"       ,   A_="__unk__"       ,   A_="__null__"       ,   **A_       ,   )						->      List[Any]:
				"""simple docstring"""
				super().__init__(unk_token=A_       ,   bos_token=A_       ,   eos_token=A_       ,   pad_token=A_       ,   **A_ )

				with open(A_       ,   encoding='utf-8' ) as vocab_handle:
						UpperCamelCase						=  json.load(A_ )
				UpperCamelCase						=  {v: k for k, v in self.encoder.items()}
				with open(A_       ,   encoding='utf-8' ) as merges_handle:
						UpperCamelCase						=  merges_handle.read().split('\n' )[1:-1]
				UpperCamelCase						=  [tuple(merge.split() ) for merge in merges]
				UpperCamelCase						=  dict(zip(A_       ,   range(len(A_ ) ) ) )
				UpperCamelCase						=  {}



		@property
		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				return len(self.encoder )



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				return dict(self.encoder       ,   **self.added_tokens_encoder )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				if token in self.cache:
						return self.cache[token]
				UpperCamelCase						=  re.sub('([.,!?()])'       ,   r' \1'       ,   A_ )
				UpperCamelCase						=  re.sub('(\')'       ,   r' \1 '       ,   A_ )
				UpperCamelCase						=  re.sub(r'\s{2,}'       ,   ' '       ,   A_ )
				if "\n" in token:
						UpperCamelCase						=  token.replace('\n'       ,   ' __newln__' )

				UpperCamelCase						=  token.split(' ' )
				UpperCamelCase						=  []
				for token in tokens:
						if not len(A_ ):
								continue

						UpperCamelCase						=  token.lower()
						UpperCamelCase						=  tuple(A_ )
						UpperCamelCase						=  tuple(list(word[:-1] ) + [word[-1] + '</w>'] )
						UpperCamelCase						=  get_pairs(A_ )

						if not pairs:
								words.append(A_ )
								continue

						while True:
								UpperCamelCase						=  min(A_       ,   key=lambda A_ : self.bpe_ranks.get(A_       ,   float('inf' ) ) )
								if bigram not in self.bpe_ranks:
										break
								UpperCamelCase			,						UpperCamelCase						=  bigram
								UpperCamelCase						=  []
								UpperCamelCase						=  0

								while i < len(A_ ):
										try:
												UpperCamelCase						=  word.index(A_       ,   A_ )
												new_word.extend(word[i:j] )
												UpperCamelCase						=  j
										except ValueError:
												new_word.extend(word[i:] )
												break

										if word[i] == first and i < len(A_ ) - 1 and word[i + 1] == second:
												new_word.append(first + second )
												i += 2
										else:
												new_word.append(word[i] )
												i += 1
								UpperCamelCase						=  tuple(A_ )
								UpperCamelCase						=  new_word
								if len(A_ ) == 1:
										break
								else:
										UpperCamelCase						=  get_pairs(A_ )
						UpperCamelCase						=  '@@ '.join(A_ )
						UpperCamelCase						=  word[:-4]

						UpperCamelCase						=  word
						words.append(A_ )
				return " ".join(A_ )



		def __UpperCamelCase				(				self       ,   A_ )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  []

				UpperCamelCase						=  re.findall(r'\S+\n?'       ,   A_ )

				for token in words:
						split_tokens.extend(list(self.bpe(A_ ).split(' ' ) ) )
				return split_tokens



		def __UpperCamelCase				(				self       ,   A_ )						->      int:
				"""simple docstring"""
				UpperCamelCase						=  token.lower()
				return self.encoder.get(A_       ,   self.encoder.get(self.unk_token ) )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				return self.decoder.get(A_       ,   self.unk_token )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  ' '.join(A_ ).replace('@@ '       ,   '' ).strip()
				return out_string



		def __UpperCamelCase				(				self       ,   A_       ,   A_ = None )						->      Tuple[str]:
				"""simple docstring"""
				if not os.path.isdir(A_ ):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
						return
				UpperCamelCase						=  os.path.join(
				    A_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
				UpperCamelCase						=  os.path.join(
				    A_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'] )

				with open(A_       ,   'w'       ,   encoding='utf-8' ) as f:
						f.write(json.dumps(self.encoder       ,   indent=2       ,   sort_keys=A_       ,   ensure_ascii=A_ ) + '\n' )

				UpperCamelCase						=  0
				with open(A_       ,   'w'       ,   encoding='utf-8' ) as writer:
						writer.write('#version: 0.2\n' )
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,   key=lambda A_ : kv[1] ):
								if index != token_index:
										logger.warning(
										    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
										    ' Please check that the tokenizer is not corrupted!' )
										UpperCamelCase						=  token_index
								writer.write(' '.join(A_ ) + '\n' )
								index += 1

				return vocab_file, merge_file
