import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


__UpperCamelCase      :      str     						=						logging.get_logger(__name__)

__UpperCamelCase      :      Union[str, Any]     						=						{'vocab_file': 'vocab.txt'}

__UpperCamelCase      :      int     						=						{
    'vocab_file': {
        'facebook/esm2_t6_8M_UR50D': 'https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt',
        'facebook/esm2_t12_35M_UR50D': 'https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt',
    },
}

__UpperCamelCase      :      List[str]     						=						{
    'facebook/esm2_t6_8M_UR50D': 1024,
    'facebook/esm2_t12_35M_UR50D': 1024,
}





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	with open(lowerCamelCase				,  """r"""					) as f:
		__lowercase             =  f.read().splitlines()
		return [l.strip() for l in lines]




class        __UpperCamelCase    (     _lowerCAmelCase   ):
	__snake_case	:Any   =       VOCAB_FILES_NAMES
	__snake_case	:str   =       PRETRAINED_VOCAB_FILES_MAP
	__snake_case	:List[Any]   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__snake_case	:Union[str, Any]   =       ['input_ids', 'attention_mask']







	def __init__(  self      :							Optional[Any]       ,				_lowerCAmelCase      :							Optional[int]       ,				_lowerCAmelCase      :							Any="<unk>"       ,				_lowerCAmelCase      :							Dict="<cls>"       ,				_lowerCAmelCase      :							Dict="<pad>"       ,				_lowerCAmelCase      :							Optional[Any]="<mask>"       ,				_lowerCAmelCase      :							int="<eos>"       ,				**_lowerCAmelCase      :							Optional[Any]       ,				)		-> str:
		"""simple docstring"""







		super().__init__(**UpperCAmelCase__			)
		__lowercase             =  load_vocab_file(UpperCAmelCase__			)
		__lowercase             =  dict(enumerate(self.all_tokens			)			)
		__lowercase             =  {tok: ind for ind, tok in enumerate(self.all_tokens			)}
		__lowercase             =  unk_token
		__lowercase             =  cls_token
		__lowercase             =  pad_token
		__lowercase             =  mask_token
		__lowercase             =  eos_token
		__lowercase             =  self.all_tokens
		self._create_trie(self.unique_no_split_tokens			)







	def  _a   (  self      :							int       ,				_lowerCAmelCase      :							int			)		-> Optional[int]:
		"""simple docstring"""







		return self._id_to_token.get(UpperCAmelCase__       ,				self.unk_token			)







	def  _a   (  self      :							Optional[Any]       ,				_lowerCAmelCase      :							str			)		-> Dict:
		"""simple docstring"""







		return self._token_to_id.get(UpperCAmelCase__       ,				self._token_to_id.get(self.unk_token			)			)







	def  _a   (  self      :							Optional[int]       ,				_lowerCAmelCase      :							int       ,				**_lowerCAmelCase      :							Tuple			)		-> List[str]:
		"""simple docstring"""







		return text.split()







	def  _a   (  self      :							Union[str, Any]       ,				_lowerCAmelCase      :							Optional[int]=False			)		-> Dict:
		"""simple docstring"""







		return len(self._id_to_token			)







	def  _a   (  self      :							Union[str, Any]			)		-> Tuple:
		"""simple docstring"""







		return {token: i for i, token in enumerate(self.all_tokens			)}







	def  _a   (  self      :							List[Any]       ,				_lowerCAmelCase      :							str			)		-> List[str]:
		"""simple docstring"""







		return self._token_to_id.get(UpperCAmelCase__       ,				self._token_to_id.get(self.unk_token			)			)







	def  _a   (  self      :							str       ,				_lowerCAmelCase      :							int			)		-> Union[str, Any]:
		"""simple docstring"""







		return self._id_to_token.get(UpperCAmelCase__       ,				self.unk_token			)







	def  _a   (  self      :							Any       ,				_lowerCAmelCase      :							List[int]       ,				_lowerCAmelCase      :							Optional[List[int]] = None			)		-> List[Any]:
		"""simple docstring"""







		__lowercase             =  [self.cls_token_id]
		__lowercase             =  [self.eos_token_id]  # No sep token in ESM vocabulary
		if token_ids_a is None:
			if self.eos_token_id is None:
				return cls + token_ids_a
			else:
				return cls + token_ids_a + sep
		elif self.eos_token_id is None:
			raise ValueError("""Cannot tokenize multiple sequences when EOS token is not set!"""			)
		return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token







	def  _a   (  self      :							List[str]       ,				_lowerCAmelCase      :							List       ,				_lowerCAmelCase      :							Optional[List] = None       ,				_lowerCAmelCase      :							bool = False			)		-> Optional[Any]:
		"""simple docstring"""







		if already_has_special_tokens:
			if token_ids_a is not None:
				raise ValueError(
				    """You should not supply a second sequence if the provided sequence of """
				    """ids is already formatted with special tokens for the model."""			)

			return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
		__lowercase             =  [1] + ([0] * len(UpperCAmelCase__			)) + [1]
		if token_ids_a is not None:
			mask += [0] * len(UpperCAmelCase__			) + [1]
		return mask







	def  _a   (  self      :							List[str]       ,				_lowerCAmelCase      :							Tuple       ,				_lowerCAmelCase      :							Tuple			)		-> int:
		"""simple docstring"""







		__lowercase             =  os.path.join(UpperCAmelCase__       ,				(filename_prefix + """-""" if filename_prefix else """""") + """vocab.txt"""			)
		with open(UpperCAmelCase__       ,				"""w"""			) as f:
			f.write("""\n""".join(self.all_tokens			)			)
		return (vocab_file,)







	@property
	def  _a   (  self      :							Tuple			)		-> str:
		"""simple docstring"""







		return self.get_vocab_size(with_added_tokens=UpperCAmelCase__			)







	def  _a   (  self      :							List[Any]       ,				_lowerCAmelCase      :							Union[List[str], List[AddedToken]]       ,				_lowerCAmelCase      :							bool = False			)		-> str:
		"""simple docstring"""







		return super()._add_tokens(UpperCAmelCase__       ,				special_tokens=UpperCAmelCase__			)









import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


__UpperCamelCase      :      Optional[Any]     						=						logging.get_logger(__name__)





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  set()
	__lowercase             =  []

	def parse_line(lowerCamelCase					):
		for line in fp:
			if isinstance(lowerCamelCase				,  lowerCamelCase					):
				__lowercase             =  line.decode("""UTF-8"""					)
			if "warnings summary (final)" in line:
				continue
			# This means we are outside the body of a warning
			elif not line.startswith(""" """					):
				# process a single warning and move it to `selected_warnings`.
				if len(lowerCamelCase					) > 0:
					__lowercase             =  """\n""".join(lowerCamelCase					)
					# Only keep the warnings specified in `targets`
					if any(F': {x}: ' in warning for x in targets					):
						selected_warnings.add(lowerCamelCase					)
					buffer.clear()
				continue
			else:
				__lowercase             =  line.strip()
				buffer.append(lowerCamelCase					)

	if from_gh:
		for filename in os.listdir(lowerCamelCase					):
			__lowercase             =  os.path.join(lowerCamelCase				,  lowerCamelCase					)
			if not os.path.isdir(lowerCamelCase					):
				# read the file
				if filename != "warnings.txt":
					continue
				with open(lowerCamelCase					) as fp:
					parse_line(lowerCamelCase					)
	else:
		try:
			with zipfile.ZipFile(lowerCamelCase					) as z:
				for filename in z.namelist():
					if not os.path.isdir(lowerCamelCase					):
						# read the file
						if filename != "warnings.txt":
							continue
						with z.open(lowerCamelCase					) as fp:
							parse_line(lowerCamelCase					)
		except Exception:
			logger.warning(
			    F'{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'					)

	return selected_warnings





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  set()

	__lowercase             =  [os.path.join(lowerCamelCase				,  lowerCamelCase					) for p in os.listdir(lowerCamelCase					) if (p.endswith(""".zip"""					) or from_gh)]
	for p in paths:
		selected_warnings.update(extract_warnings_from_single_artifact(lowerCamelCase				,  lowerCamelCase					)					)

	return selected_warnings


if __name__ == "__main__":





						def 				snake_case  (     lowerCamelCase					):




							'''simple docstring'''







							return values.split(""","""					)

						__UpperCamelCase      :      Union[str, Any]     						=						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.""")
						# optional parameters
						parser.add_argument(
						    """--targets""",
						    default="""DeprecationWarning,UserWarning,FutureWarning""",
						    type=list_str,
						    help="""Comma-separated list of target warning(s) which we want to extract.""",
						)
						parser.add_argument(
						    """--from_gh""",
						    action="""store_true""",
						    help="""If running from a GitHub action workflow and collecting warnings from its artifacts.""",
						)

						__UpperCamelCase      :      List[str]     						=						parser.parse_args()

						__UpperCamelCase      :      Union[str, Any]     						=						args.from_gh
						if from_gh:
												# The artifacts have to be downloaded using `actions/download-artifact@v3`
												pass
						else:
												os.makedirs(args.output_dir, exist_ok=True)

												# get download links
												__UpperCamelCase      :      Any     						=						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)

												# download artifacts
												for idx, (name, url) in enumerate(artifacts.items()):
																		print(name)
																		print(url)
																		print("""=""" * 80)
																		download_artifact(name, url, args.output_dir, args.token)
																		# Be gentle to GitHub
																		time.sleep(1)

    # extract warnings from artifacts
						__UpperCamelCase      :      Union[str, Any]     						=						extract_warnings(args.output_dir, args.targets)
						__UpperCamelCase      :      Any     						=						sorted(selected_warnings)
						with open(os.path.join(args.output_dir, """selected_warnings.json"""), """w""", encoding="""UTF-8""") as fp:
												json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)

