






"""simple docstring"""



import os
import tempfile
from pathlib import Path
from unittest import TestCase

import pyarrow as pa
import pytest

from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo

from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases


class 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    def 		A__      (      self   ,			__lowercase   ,			__lowercase=False			):
     UpperCAmelCase__						,	UpperCAmelCase__						,	UpperCAmelCase__ 						=				(
         filename_skip_take["""filename"""],
         filename_skip_take["""skip"""] if """skip""" in filename_skip_take else None,
         filename_skip_take["""take"""] if """take""" in filename_skip_take else None,
     )
     open(os.path.join(__lowercase			)   ,			"""wb"""			).close()
     UpperCAmelCase__ 						=				pa.Table.from_pydict({"""filename""": [Path(__lowercase			).name] * 100}			)
     if take == -1:
      UpperCAmelCase__ 						=				len(__lowercase			) - skip
     if skip is not None and take is not None:
      UpperCAmelCase__ 						=				pa_table.slice(__lowercase   ,			__lowercase			)
     return pa_table



class 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    def 		A__      (      self			):
     UpperCAmelCase__ 						=				"""my_name"""
     UpperCAmelCase__ 						=				SplitInfo(name="""train"""   ,			num_examples=100			)
     UpperCAmelCase__ 						=				SplitInfo(name="""test"""   ,			num_examples=100			)
     UpperCAmelCase__ 						=				[train_info, test_info]
     UpperCAmelCase__ 						=				SplitDict()
     split_dict.add(__lowercase			)
     split_dict.add(__lowercase			)
     UpperCAmelCase__ 						=				DatasetInfo(splits=__lowercase			)

     with tempfile.TemporaryDirectory() as tmp_dir:
      UpperCAmelCase__ 						=				ReaderTest(__lowercase   ,			__lowercase			)

      UpperCAmelCase__ 						=				"""test[:33%]"""
      UpperCAmelCase__ 						=				Dataset(**reader.read(__lowercase   ,			__lowercase   ,			__lowercase			)			)
      self.assertEqual(dset["""filename"""][0]   ,			F'''{name}-test'''			)
      self.assertEqual(dset.num_rows   ,			33			)
      self.assertEqual(dset.num_columns   ,			1			)

      UpperCAmelCase__ 						=				["""train""", """test[:33%]"""]
      UpperCAmelCase__ 						=				[Split.TRAIN, ReadInstruction.from_spec("""test[:33%]"""			)]
      for instructions in [instructionsa, instructionsa]:
       UpperCAmelCase__ 						=				[reader.read(__lowercase   ,			__lowercase   ,			__lowercase			) for instr in instructions]
       UpperCAmelCase__						,	UpperCAmelCase__ 						=				(Dataset(**__lowercase			) for dataset_kwargs in datasets_kwargs)
       self.assertEqual(train_dset["""filename"""][0]   ,			F'''{name}-train'''			)
       self.assertEqual(train_dset.num_rows   ,			100			)
       self.assertEqual(train_dset.num_columns   ,			1			)
       self.assertIsInstance(train_dset.split   ,			__lowercase			)
       self.assertEqual(str(train_dset.split			)   ,			"""train"""			)
       self.assertEqual(test_dset["""filename"""][0]   ,			F'''{name}-test'''			)
       self.assertEqual(test_dset.num_rows   ,			33			)
       self.assertEqual(test_dset.num_columns   ,			1			)
       self.assertIsInstance(test_dset.split   ,			__lowercase			)
       self.assertEqual(str(test_dset.split			)   ,			"""test[:33%]"""			)
       del train_dset, test_dset


    def 		A__      (      self			):
     UpperCAmelCase__ 						=				"""my_name"""
     UpperCAmelCase__ 						=				SplitInfo(name="""train"""   ,			num_examples=1000   ,			shard_lengths=[100] * 10			)
     UpperCAmelCase__ 						=				[train_info]
     UpperCAmelCase__ 						=				SplitDict()
     split_dict.add(__lowercase			)
     UpperCAmelCase__ 						=				DatasetInfo(splits=__lowercase			)

     with tempfile.TemporaryDirectory() as tmp_dir:
      UpperCAmelCase__ 						=				ReaderTest(__lowercase   ,			__lowercase			)

      UpperCAmelCase__ 						=				"""train[:33%]"""
      UpperCAmelCase__ 						=				Dataset(**reader.read(__lowercase   ,			__lowercase   ,			__lowercase			)			)
      self.assertEqual(dset["""filename"""][0]   ,			F'''{name}-train-00000-of-00010'''			)
      self.assertEqual(dset["""filename"""][-1]   ,			F'''{name}-train-00003-of-00010'''			)
      self.assertEqual(dset.num_rows   ,			330			)
      self.assertEqual(dset.num_columns   ,			1			)






    def 		A__      (      self			):
     UpperCAmelCase__ 						=				SplitInfo(name="""train"""   ,			num_examples=100			)
     UpperCAmelCase__ 						=				SplitInfo(name="""test"""   ,			num_examples=100			)
     UpperCAmelCase__ 						=				SplitDict()
     split_dict.add(__lowercase			)
     split_dict.add(__lowercase			)
     UpperCAmelCase__ 						=				DatasetInfo(splits=__lowercase			)

     with tempfile.TemporaryDirectory() as tmp_dir:
      UpperCAmelCase__ 						=				ReaderTest(__lowercase   ,			__lowercase			)

      UpperCAmelCase__ 						=				[
          {"""filename""": os.path.join(__lowercase   ,			"""train"""			)},
          {"""filename""": os.path.join(__lowercase   ,			"""test"""			), """skip""": 10, """take""": 10},
      ]
      UpperCAmelCase__ 						=				Dataset(**reader.read_files(__lowercase   ,			original_instructions="""train+test[10:20]"""			)			)
      self.assertEqual(dset.num_rows   ,			110			)
      self.assertEqual(dset.num_columns   ,			1			)
      del dset




@pytest.mark.parametrize("""in_memory"""       ,	[False, True]			)
def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->Dict:
 UpperCAmelCase__ 						=				arrow_file
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  UpperCAmelCase__ 						=				ArrowReader.read_table(_SCREAMING_SNAKE_CASE       ,	in_memory=_SCREAMING_SNAKE_CASE			)
 assert table.shape == dataset.data.shape
 assert set(table.column_names			) == set(dataset.data.column_names			)
 assert dict(table.to_pydict()			) == dict(dataset.data.to_pydict()			)  # to_pydict returns OrderedDict




@pytest.mark.parametrize("""in_memory"""       ,	[False, True]			)
def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->List[str]:
 UpperCAmelCase__ 						=				arrow_file
 UpperCAmelCase__ 						=				ArrowReader(""""""       ,	_SCREAMING_SNAKE_CASE			)
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  UpperCAmelCase__ 						=				reader.read_files([{"""filename""": filename}]       ,	in_memory=_SCREAMING_SNAKE_CASE			)
 assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
 UpperCAmelCase__ 						=				dataset_kwargs["""arrow_table"""]
 assert table.shape == dataset.data.shape
 assert set(table.column_names			) == set(dataset.data.column_names			)
 assert dict(table.to_pydict()			) == dict(dataset.data.to_pydict()			)  # to_pydict returns OrderedDict




def       snake_case__		(   )    ->Optional[Any]:
 assert ReadInstruction("""train"""       ,	to=1_0       ,	unit="""abs"""			).to_spec() == "train[:10]"
 assert ReadInstruction("""train"""       ,	from_=-8_0       ,	to=1_0       ,	unit="""%"""			).to_spec() == "train[-80%:10%]"

 UpperCAmelCase__ 						=				"""train+test"""
 assert ReadInstruction.from_spec(_SCREAMING_SNAKE_CASE			).to_spec() == spec_train_test

 UpperCAmelCase__ 						=				"""train[2:10]"""
 assert ReadInstruction.from_spec(_SCREAMING_SNAKE_CASE			).to_spec() == spec_train_abs

 UpperCAmelCase__ 						=				"""train[15%:-20%]"""
 assert ReadInstruction.from_spec(_SCREAMING_SNAKE_CASE			).to_spec() == spec_train_pct

 UpperCAmelCase__ 						=				"""train[:10%](closest)"""
 assert ReadInstruction.from_spec(_SCREAMING_SNAKE_CASE			).to_spec() == "train[:10%]"

 UpperCAmelCase__ 						=				"""train[:10%](pct1_dropremainder)"""
 assert ReadInstruction.from_spec(_SCREAMING_SNAKE_CASE			).to_spec() == spec_train_pct_rounding

 UpperCAmelCase__ 						=				"""train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"""
 assert ReadInstruction.from_spec(_SCREAMING_SNAKE_CASE			).to_spec() == spec_train_test_pct_rounding




def       snake_case__		(   )    ->Optional[Any]:
 UpperCAmelCase__ 						=				"""dummy"""
 UpperCAmelCase__ 						=				[SplitInfo(name="""train"""       ,	num_examples=1_0_0			)]
 UpperCAmelCase__ 						=				"""train[:33%]"""
 UpperCAmelCase__ 						=				"""arrow"""
 UpperCAmelCase__ 						=				"""prefix"""

 UpperCAmelCase__ 						=				make_file_instructions(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)
 assert isinstance(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)
 assert file_instructions.num_examples == 3_3
 assert file_instructions.file_instructions == [
     {"filename": os.path.join(_SCREAMING_SNAKE_CASE       ,	F'''{name}-train.arrow'''			), "skip": 0, "take": 3_3}
 ]

 UpperCAmelCase__ 						=				[SplitInfo(name="""train"""       ,	num_examples=1_0_0       ,	shard_lengths=[1_0] * 1_0			)]
 UpperCAmelCase__ 						=				make_file_instructions(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)
 assert isinstance(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)
 assert file_instructions.num_examples == 3_3
 assert file_instructions.file_instructions == [
     {"filename": os.path.join(_SCREAMING_SNAKE_CASE       ,	F'''{name}-train-00000-of-00010.arrow'''			), "skip": 0, "take": -1},
     {"filename": os.path.join(_SCREAMING_SNAKE_CASE       ,	F'''{name}-train-00001-of-00010.arrow'''			), "skip": 0, "take": -1},
     {"filename": os.path.join(_SCREAMING_SNAKE_CASE       ,	F'''{name}-train-00002-of-00010.arrow'''			), "skip": 0, "take": -1},
     {"filename": os.path.join(_SCREAMING_SNAKE_CASE       ,	F'''{name}-train-00003-of-00010.arrow'''			), "skip": 0, "take": 3},
 ]




@pytest.mark.parametrize("""name, expected_exception"""       ,	[(None, TypeError), ("""""", ValueError)]			)
def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->List[Any]:
 UpperCAmelCase__ 						=				[SplitInfo(name="""train"""       ,	num_examples=1_0_0			)]
 UpperCAmelCase__ 						=				"""train"""
 UpperCAmelCase__ 						=				"""arrow"""
 UpperCAmelCase__ 						=				"""prefix_path"""
 with pytest.raises(_SCREAMING_SNAKE_CASE			):
  UpperCAmelCase__ 						=				make_file_instructions(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)











"""simple docstring"""



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


a  :						List[Any]					       =							logging.get_logger(__name__)

a  :						List[Any]					       =							{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

a  :						Any					       =							{
    '''vocab_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json''',
    },
}

a  :						str					       =							{
    '''microsoft/mpnet-base''': 512,
}

a  :						Union[str, Any]					       =							{
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}


class 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    __lowercase    :   Optional[Any]											=						VOCAB_FILES_NAMES
    __lowercase    :   Optional[int]											=						PRETRAINED_VOCAB_FILES_MAP
    __lowercase    :   Dict											=						PRETRAINED_INIT_CONFIGURATION
    __lowercase    :   Optional[Any]											=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowercase    :   Dict											=						MPNetTokenizer
    __lowercase    :   Dict											=						['input_ids', 'attention_mask']


    def __init__(      self   ,			__lowercase=None   ,			__lowercase=None   ,			__lowercase=True   ,			__lowercase="<s>"   ,			__lowercase="</s>"   ,			__lowercase="</s>"   ,			__lowercase="<s>"   ,			__lowercase="[UNK]"   ,			__lowercase="<pad>"   ,			__lowercase="<mask>"   ,			__lowercase=True   ,			__lowercase=None   ,			**__lowercase   ,			):
     super().__init__(
         __lowercase   ,			tokenizer_file=__lowercase   ,			do_lower_case=__lowercase   ,			bos_token=__lowercase   ,			eos_token=__lowercase   ,			sep_token=__lowercase   ,			cls_token=__lowercase   ,			unk_token=__lowercase   ,			pad_token=__lowercase   ,			mask_token=__lowercase   ,			tokenize_chinese_chars=__lowercase   ,			strip_accents=__lowercase   ,			**__lowercase   ,			)

     UpperCAmelCase__ 						=				json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
     if (
         pre_tok_state.get("""lowercase"""   ,			__lowercase			) != do_lower_case
         or pre_tok_state.get("""strip_accents"""   ,			__lowercase			) != strip_accents
     ):
      UpperCAmelCase__ 						=				getattr(__lowercase   ,			pre_tok_state.pop("""type"""			)			)
      UpperCAmelCase__ 						=				do_lower_case
      UpperCAmelCase__ 						=				strip_accents
      UpperCAmelCase__ 						=				pre_tok_class(**__lowercase			)

     UpperCAmelCase__ 						=				do_lower_case


    @property
    def 		A__      (      self			):
     if self._mask_token is None:
      if self.verbose:
       logger.error("""Using mask_token, but it is not set yet."""			)
      return None
     return str(self._mask_token			)


    @mask_token.setter
    def 		A__      (      self   ,			__lowercase			):
     UpperCAmelCase__ 						=				AddedToken(__lowercase   ,			lstrip=__lowercase   ,			rstrip=__lowercase			) if isinstance(__lowercase   ,			__lowercase			) else value
     UpperCAmelCase__ 						=				value


    def 		A__      (      self   ,			__lowercase   ,			__lowercase=None			):
     UpperCAmelCase__ 						=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
     if token_ids_a is None:
      return output

     return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


    def 		A__      (      self   ,			__lowercase   ,			__lowercase = None			):
     UpperCAmelCase__ 						=				[self.sep_token_id]
     UpperCAmelCase__ 						=				[self.cls_token_id]

     if token_ids_a is None:
      return len(cls + token_ids_a + sep			) * [0]
     return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]






    def 		A__      (      self   ,			__lowercase   ,			__lowercase = None			):
     UpperCAmelCase__ 						=				self._tokenizer.model.save(__lowercase   ,			name=__lowercase			)
     return tuple(__lowercase			)



