
"""simple docstring"""




import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


_A			:       Optional[Any]   		=       get_logger(__name__)

class 		a__						(      enum.Enum						):
   __lowerCAmelCase            =				"""all_checks"""
   __lowerCAmelCase            =				"""basic_checks"""
   __lowerCAmelCase            =				"""no_checks"""


class 		a__						(      a_						):
   pass


class 		a__						(      a_						):
   pass


class 		a__						(      a_						):
   pass


class 		a__						(      a_						):
   pass


def   __magic_name__	(      __snake_case				:       Optional[dict]     , __snake_case				:       dict     , __snake_case				:       str=None  ) ->				List[str]:
       if expected_checksums is None:
              logger.info("Unable to verify checksums."  )
              return
       if len(set(__snake_case  ) - set(__snake_case  )  ) > 0:
              raise ExpectedMoreDownloadedFiles(str(set(__snake_case  ) - set(__snake_case  )  )  )
       if len(set(__snake_case  ) - set(__snake_case  )  ) > 0:
              raise UnexpectedDownloadedFile(str(set(__snake_case  ) - set(__snake_case  )  )  )
       lowercase    :				Union[str, Any]       		=							[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
       lowercase    :				Dict       		=							" for " + verification_name if verification_name is not None else ""
       if len(__snake_case  ) > 0:
              raise NonMatchingChecksumError(
                  f"""Checksums didn't match{for_verification_name}:\n"""
                  f"""{bad_urls}\n"""
                  "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"  )
       logger.info("All the checksums matched successfully" + for_verification_name  )

class 		a__						(      a_						):
   pass


class 		a__						(      a_						):
   pass


class 		a__						(      a_						):
   pass


class 		a__						(      a_						):
   pass


def   __magic_name__	(      __snake_case				:       Optional[dict]     , __snake_case				:       dict  ) ->				str:
       if expected_splits is None:
              logger.info("Unable to verify splits sizes."  )
              return
       if len(set(__snake_case  ) - set(__snake_case  )  ) > 0:
              raise ExpectedMoreSplits(str(set(__snake_case  ) - set(__snake_case  )  )  )
       if len(set(__snake_case  ) - set(__snake_case  )  ) > 0:
              raise UnexpectedSplits(str(set(__snake_case  ) - set(__snake_case  )  )  )
       lowercase    :				Tuple       		=							[
           {"expected": expected_splits[name], "recorded": recorded_splits[name]}
           for name in expected_splits
           if expected_splits[name].num_examples != recorded_splits[name].num_examples
       ]
       if len(__snake_case  ) > 0:
              raise NonMatchingSplitsSizesError(str(__snake_case  )  )
       logger.info("All the splits matched successfully."  )


def   __magic_name__	(      __snake_case				:       str     , __snake_case				:       bool = True  ) ->				dict:
       if record_checksum:
              lowercase    :				Optional[int]       		=							shaaaa()
              with open(__snake_case     , "rb"  ) as f:
                     for chunk in iter(lambda: f.read(1 << 20  )     , B""  ):
                            m.update(__snake_case  )
                     lowercase    :				Union[str, Any]       		=							m.hexdigest()
       else:
              lowercase    :				List[str]       		=							None
       return {"num_bytes": os.path.getsize(__snake_case  ), "checksum": checksum}


def   __magic_name__	(      __snake_case				:       List[Any]  ) ->				int:
       if dataset_size and config.IN_MEMORY_MAX_SIZE:
              return dataset_size < config.IN_MEMORY_MAX_SIZE
       else:
              return False




"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin

@require_jieba
class 		a__						(      a_,			unittest.TestCase						):
   __lowerCAmelCase            =				CpmAntTokenizer
   __lowerCAmelCase            =				False
   def 			__magic_name__			(			self				):
          super().setUp()

          lowercase    :				List[str]       		=							[
              "<d>",
              "</d>",
              "<s>",
              "</s>",
              "</_>",
              "<unk>",
              "<pad>",
              "</n>",
              "我",
              "是",
              "C",
              "P",
              "M",
              "A",
              "n",
              "t",
          ]
          lowercase    :				Dict       		=							os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["vocab_file"]				)
          with open(self.vocab_file	,    "w"	,    encoding="utf-8"				) as vocab_writer:
                 vocab_writer.write("".join([x + "\n" for x in vocab_tokens]				)				)

   @tooslow
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"				)
          lowercase    :				str       		=							"今天天气真好！"
          lowercase    :				Optional[int]       		=							["今天", "天气", "真", "好", "！"]
          lowercase    :				int       		=							tokenizer.tokenize(_a				)
          self.assertListEqual(_a	,    _a				)
          lowercase    :				Any       		=							"今天天气真好！"
          lowercase    :				int       		=							[tokenizer.bos_token] + tokens

          lowercase    :				List[str]       		=							[6, 9_802, 14_962, 2_082, 831, 244]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_a				)	,    _a				)

          lowercase    :				str       		=							tokenizer.decode(_a				)
          self.assertEqual(_a	,    _a				)


