






import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCamelCase      :      Dict     						=						get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
class        __UpperCamelCase    (     _lowerCAmelCase   ,			unittest.TestCase   ):
	__snake_case	:Dict   =       XLMProphetNetTokenizer
	__snake_case	:Optional[Any]   =       False
	__snake_case	:str   =       True







	def  _a   (  self      :							Dict			)		-> List[str]:
		"""simple docstring"""







		super().setUp()

		# We have a SentencePiece fixture for testing
		__lowercase             =  XLMProphetNetTokenizer(_lowerCAmelCase       ,				keep_accents=_lowerCAmelCase			)
		tokenizer.save_pretrained(self.tmpdirname			)







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







		__lowercase             =  """[PAD]"""
		__lowercase             =  0

		self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowerCAmelCase			)       ,				_lowerCAmelCase			)
		self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowerCAmelCase			)       ,				_lowerCAmelCase			)







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







		__lowercase             =  list(self.get_tokenizer().get_vocab().keys()			)

		self.assertEqual(vocab_keys[0]       ,				"""[PAD]"""			)
		self.assertEqual(vocab_keys[1]       ,				"""[CLS]"""			)
		self.assertEqual(vocab_keys[-1]       ,				"""j"""			)
		self.assertEqual(len(_lowerCAmelCase			)       ,				1012			)







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







		self.assertEqual(self.get_tokenizer().vocab_size       ,				1012			)







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







		__lowercase             =  XLMProphetNetTokenizer(_lowerCAmelCase       ,				keep_accents=_lowerCAmelCase			)

		__lowercase             =  tokenizer.tokenize("""This is a test"""			)
		self.assertListEqual(_lowerCAmelCase       ,				["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]			)

		self.assertListEqual(
		    tokenizer.convert_tokens_to_ids(_lowerCAmelCase			)       ,				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       ,				)

		__lowercase             =  tokenizer.tokenize("""I was born in 92000, and this is falsé."""			)
		self.assertListEqual(
		    _lowerCAmelCase       ,				[
		        SPIECE_UNDERLINE + """I""",
		        SPIECE_UNDERLINE + """was""",
		        SPIECE_UNDERLINE + """b""",
		        """or""",
		        """n""",
		        SPIECE_UNDERLINE + """in""",
		        SPIECE_UNDERLINE + """""",
		        """9""",
		        """2""",
		        """0""",
		        """0""",
		        """0""",
		        """,""",
		        SPIECE_UNDERLINE + """and""",
		        SPIECE_UNDERLINE + """this""",
		        SPIECE_UNDERLINE + """is""",
		        SPIECE_UNDERLINE + """f""",
		        """al""",
		        """s""",
		        """é""",
		        """.""",
		    ]       ,				)
		__lowercase             =  tokenizer.convert_tokens_to_ids(_lowerCAmelCase			)
		self.assertListEqual(
		    _lowerCAmelCase       ,				[
		        value + tokenizer.fairseq_offset
		        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
		    ]       ,				)

		__lowercase             =  tokenizer.convert_ids_to_tokens(_lowerCAmelCase			)
		self.assertListEqual(
		    _lowerCAmelCase       ,				[
		        SPIECE_UNDERLINE + """I""",
		        SPIECE_UNDERLINE + """was""",
		        SPIECE_UNDERLINE + """b""",
		        """or""",
		        """n""",
		        SPIECE_UNDERLINE + """in""",
		        SPIECE_UNDERLINE + """""",
		        """[UNK]""",
		        """2""",
		        """0""",
		        """0""",
		        """0""",
		        """,""",
		        SPIECE_UNDERLINE + """and""",
		        SPIECE_UNDERLINE + """this""",
		        SPIECE_UNDERLINE + """is""",
		        SPIECE_UNDERLINE + """f""",
		        """al""",
		        """s""",
		        """[UNK]""",
		        """.""",
		    ]       ,				)







	@cached_property
	def  _a   (  self      :							Optional[int]			)		-> Any:
		"""simple docstring"""







		return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""			)







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







		__lowercase             =  """Hello World!"""
		__lowercase             =  [3_5389, 6672, 49, 2]
		self.assertListEqual(_lowerCAmelCase       ,				self.big_tokenizer.encode(_lowerCAmelCase			)			)







	@slow
	def  _a   (  self      :							Dict			)		-> str:
		"""simple docstring"""







		__lowercase             =  {"""input_ids""": [[1_1073, 8_2783, 18, 26, 8_2783, 549, 5_1540, 248, 1_7209, 1301, 217, 20, 21_5186, 1325, 147, 1_7209, 1301, 217, 20, 5_6370, 53, 12_2020, 20, 1_6477, 27, 8_7355, 4548, 20, 4728, 7_8392, 17, 15_9969, 18, 26, 2_4491, 629, 15, 538, 2_2704, 5439, 15, 2788, 2_4491, 9885, 15, 4_3534, 605, 15, 814, 1_8403, 3_3200, 29, 15, 4_3534, 2_4458, 1_2410, 111, 2_4966, 8_3669, 9637, 14_4068, 26, 850, 2_2346, 27, 147, 2_4966, 8_3669, 8_3490, 26, 3_9113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 12_2020, 11_5785, 34, 816, 1339, 4_6887, 18, 147, 5_3905, 1951, 4_2238, 4_1170, 1_7732, 834, 436, 15, 2_7523, 9_8733, 217, 147, 5542, 4981, 930, 1_7347, 16, 2], [2_0091, 629, 94, 8_2786, 58, 490, 20, 1528, 84, 5_3905, 344, 8_0592, 11_0128, 1_8822, 5267, 1306, 62, 15_2537, 308, 7997, 401, 12_4427, 549, 3_5442, 225, 109, 1_5055, 2_5748, 147, 7119, 4_3712, 34, 767, 13_5366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 6_3784, 11_9466, 17, 14_7808, 8_8214, 18, 656, 81, 32, 3296, 1_0280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
		# fmt: on

		self.tokenizer_integration_test_util(
		    expected_encoding=_lowerCAmelCase       ,				model_name="""microsoft/xprophetnet-large-wiki100-cased"""       ,				revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""       ,				)









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)

