




import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE ,     unittest.TestCase      ):


 '''simple docstring'''







 lowercase_       					=					HerbertTokenizer
 lowercase_       					=					HerbertTokenizerFast
 lowercase_       					=					True



 def    lowerCAmelCase_						(							self						:	Optional[Any]		):
       super().setUp()

       # Use a simpler test file without japanese/chinese characters
       with open(F"{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"       ,       encoding='utf-8'		) as f_data:
             SCREAMING_SNAKE_CASE_					=    f_data.read().replace('\n\n'       ,       '\n'		).strip()

       SCREAMING_SNAKE_CASE_					=    [
           '<s>',
           '</s>',
           'l',
           'o',
           'w',
           'e',
           'r',
           's',
           't',
           'i',
           'd',
           'n',
           'w</w>',
           'r</w>',
           't</w>',
           'lo',
           'low',
           'er</w>',
           'low</w>',
           'lowest</w>',
           'newer</w>',
           'wider</w>',
           ',</w>',
           '<unk>',
       ]
       SCREAMING_SNAKE_CASE_					=    dict(zip(_lowerCAmelCase       ,       range(len(_lowerCAmelCase		)		)		)		)
       SCREAMING_SNAKE_CASE_					=    ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

       SCREAMING_SNAKE_CASE_					=    os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['vocab_file']		)
       SCREAMING_SNAKE_CASE_					=    os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['merges_file']		)
       with open(self.vocab_file       ,       'w'		) as fp:
             fp.write(json.dumps(_lowerCAmelCase		)		)
       with open(self.merges_file       ,       'w'		) as fp:
             fp.write('\n'.join(_lowerCAmelCase		)		)



 def    lowerCAmelCase_						(							self						:	Union[str, Any]       ,       _lowerCAmelCase						:	int		):
       SCREAMING_SNAKE_CASE_					=    'lower newer'
       SCREAMING_SNAKE_CASE_					=    'lower newer'
       return input_text, output_text



 def    lowerCAmelCase_						(							self						:	Tuple		):
       SCREAMING_SNAKE_CASE_					=    self.tokenizer_class(vocab_file=self.vocab_file       ,       merges_file=self.merges_file		)

       SCREAMING_SNAKE_CASE_					=    'lower'
       SCREAMING_SNAKE_CASE_					=    ['low', 'er</w>']
       SCREAMING_SNAKE_CASE_					=    tokenizer.tokenize(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    tokens + ['<unk>']
       SCREAMING_SNAKE_CASE_					=    [16, 17, 23]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)       ,       _lowerCAmelCase		)



 def    lowerCAmelCase_						(							self						:	Optional[int]		):
       if not self.test_rust_tokenizer:
             return

       SCREAMING_SNAKE_CASE_					=    self.get_tokenizer()
       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer()

       SCREAMING_SNAKE_CASE_					=    'lower,newer'

       SCREAMING_SNAKE_CASE_					=    tokenizer.tokenize(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.tokenize(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE_					=    tokenizer.encode(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.encode(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)




 @slow
 def    lowerCAmelCase_						(							self						:	int		):
       SCREAMING_SNAKE_CASE_					=    self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.encode('konstruowanie sekwencji'       ,       add_special_tokens=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    tokenizer.encode('konstruowanie wielu sekwencji'       ,       add_special_tokens=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase       ,       _lowerCAmelCase		)

       assert encoded_sentence == [0] + text + [2]
       assert encoded_pair == [0] + text + [2] + text_a + [2]





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  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE      ):


 '''simple docstring'''







 def    lowerCAmelCase_						(							self						:	List[str]       ,       _lowerCAmelCase						:	Tuple       ,       _lowerCAmelCase						:	Any=False		):
       SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    (
           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(_lowerCAmelCase		)       ,       'wb'		).close()
       SCREAMING_SNAKE_CASE_					=    pa.Table.from_pydict({'filename': [Path(_lowerCAmelCase		).name] * 100}		)
       if take == -1:
             SCREAMING_SNAKE_CASE_					=    len(_lowerCAmelCase		) - skip
       if skip is not None and take is not None:
             SCREAMING_SNAKE_CASE_					=    pa_table.slice(_lowerCAmelCase       ,       _lowerCAmelCase		)
       return pa_table





class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE      ):


 '''simple docstring'''







 def    lowerCAmelCase_						(							self						:	str		):
       SCREAMING_SNAKE_CASE_					=    'my_name'
       SCREAMING_SNAKE_CASE_					=    SplitInfo(name='train'       ,       num_examples=100		)
       SCREAMING_SNAKE_CASE_					=    SplitInfo(name='test'       ,       num_examples=100		)
       SCREAMING_SNAKE_CASE_					=    [train_info, test_info]
       SCREAMING_SNAKE_CASE_					=    SplitDict()
       split_dict.add(_lowerCAmelCase		)
       split_dict.add(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    DatasetInfo(splits=_lowerCAmelCase		)

       with tempfile.TemporaryDirectory() as tmp_dir:
             SCREAMING_SNAKE_CASE_					=    ReaderTest(_lowerCAmelCase       ,       _lowerCAmelCase		)

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

             SCREAMING_SNAKE_CASE_					=    ['train', 'test[:33%]']
             SCREAMING_SNAKE_CASE_					=    [Split.TRAIN, ReadInstruction.from_spec('test[:33%]'		)]
             for instructions in [instructionsa, instructionsa]:
                   SCREAMING_SNAKE_CASE_					=    [reader.read(_lowerCAmelCase       ,       _lowerCAmelCase       ,       _lowerCAmelCase		) for instr in instructions]
                   SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    (Dataset(**_lowerCAmelCase		) 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       ,       _lowerCAmelCase		)
                   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       ,       _lowerCAmelCase		)
                   self.assertEqual(str(test_dset.split		)       ,       'test[:33%]'		)
                   del train_dset, test_dset



 def    lowerCAmelCase_						(							self						:	Tuple		):
       SCREAMING_SNAKE_CASE_					=    'my_name'
       SCREAMING_SNAKE_CASE_					=    SplitInfo(name='train'       ,       num_examples=1_000       ,       shard_lengths=[100] * 10		)
       SCREAMING_SNAKE_CASE_					=    [train_info]
       SCREAMING_SNAKE_CASE_					=    SplitDict()
       split_dict.add(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    DatasetInfo(splits=_lowerCAmelCase		)

       with tempfile.TemporaryDirectory() as tmp_dir:
             SCREAMING_SNAKE_CASE_					=    ReaderTest(_lowerCAmelCase       ,       _lowerCAmelCase		)

             SCREAMING_SNAKE_CASE_					=    'train[:33%]'
             SCREAMING_SNAKE_CASE_					=    Dataset(**reader.read(_lowerCAmelCase       ,       _lowerCAmelCase       ,       _lowerCAmelCase		)		)
             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    lowerCAmelCase_						(							self						:	Optional[Any]		):
       SCREAMING_SNAKE_CASE_					=    SplitInfo(name='train'       ,       num_examples=100		)
       SCREAMING_SNAKE_CASE_					=    SplitInfo(name='test'       ,       num_examples=100		)
       SCREAMING_SNAKE_CASE_					=    SplitDict()
       split_dict.add(_lowerCAmelCase		)
       split_dict.add(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    DatasetInfo(splits=_lowerCAmelCase		)

       with tempfile.TemporaryDirectory() as tmp_dir:
             SCREAMING_SNAKE_CASE_					=    ReaderTest(_lowerCAmelCase       ,       _lowerCAmelCase		)

             SCREAMING_SNAKE_CASE_					=    [
                 {'filename': os.path.join(_lowerCAmelCase       ,       'train'		)},
                 {'filename': os.path.join(_lowerCAmelCase       ,       'test'		), 'skip': 10, 'take': 10},
             ]
             SCREAMING_SNAKE_CASE_					=    Dataset(**reader.read_files(_lowerCAmelCase       ,       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       UpperCAmelCase_							(   __UpperCAmelCase		:			List[str]    ,    __UpperCAmelCase		:			Optional[int]    ,    __UpperCAmelCase		:			int							)      ->				str:
      SCREAMING_SNAKE_CASE_					=    arrow_file
      with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
            SCREAMING_SNAKE_CASE_					=    ArrowReader.read_table(__UpperCAmelCase    ,    in_memory=__UpperCAmelCase							)
      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       UpperCAmelCase_							(   __UpperCAmelCase		:			Union[str, Any]    ,    __UpperCAmelCase		:			List[str]    ,    __UpperCAmelCase		:			Tuple							)      ->				Dict:
      SCREAMING_SNAKE_CASE_					=    arrow_file
      SCREAMING_SNAKE_CASE_					=    ArrowReader(''    ,    __UpperCAmelCase							)
      with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
            SCREAMING_SNAKE_CASE_					=    reader.read_files([{'filename': filename}]    ,    in_memory=__UpperCAmelCase							)
      assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
      SCREAMING_SNAKE_CASE_					=    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       UpperCAmelCase_							(   )      ->				str:
      assert ReadInstruction('train'    ,    to=10    ,    unit='abs'							).to_spec() == "train[:10]"
      assert ReadInstruction('train'    ,    from_=-80    ,    to=10    ,    unit='%'							).to_spec() == "train[-80%:10%]"

      SCREAMING_SNAKE_CASE_					=    'train+test'
      assert ReadInstruction.from_spec(__UpperCAmelCase							).to_spec() == spec_train_test

      SCREAMING_SNAKE_CASE_					=    'train[2:10]'
      assert ReadInstruction.from_spec(__UpperCAmelCase							).to_spec() == spec_train_abs

      SCREAMING_SNAKE_CASE_					=    'train[15%:-20%]'
      assert ReadInstruction.from_spec(__UpperCAmelCase							).to_spec() == spec_train_pct

      SCREAMING_SNAKE_CASE_					=    'train[:10%](closest)'
      assert ReadInstruction.from_spec(__UpperCAmelCase							).to_spec() == "train[:10%]"

      SCREAMING_SNAKE_CASE_					=    'train[:10%](pct1_dropremainder)'
      assert ReadInstruction.from_spec(__UpperCAmelCase							).to_spec() == spec_train_pct_rounding

      SCREAMING_SNAKE_CASE_					=    'train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'
      assert ReadInstruction.from_spec(__UpperCAmelCase							).to_spec() == spec_train_test_pct_rounding

def       UpperCAmelCase_							(   )      ->				Optional[Any]:
      SCREAMING_SNAKE_CASE_					=    'dummy'
      SCREAMING_SNAKE_CASE_					=    [SplitInfo(name='train'    ,    num_examples=1_00							)]
      SCREAMING_SNAKE_CASE_					=    'train[:33%]'
      SCREAMING_SNAKE_CASE_					=    'arrow'
      SCREAMING_SNAKE_CASE_					=    'prefix'

      SCREAMING_SNAKE_CASE_					=    make_file_instructions(__UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase							)
      assert isinstance(__UpperCAmelCase    ,    __UpperCAmelCase							)
      assert file_instructions.num_examples == 33
      assert file_instructions.file_instructions == [
          {"filename": os.path.join(__UpperCAmelCase    ,    f"{name}-train.arrow"							), "skip": 0, "take": 33}
      ]

      SCREAMING_SNAKE_CASE_					=    [SplitInfo(name='train'    ,    num_examples=1_00    ,    shard_lengths=[10] * 10							)]
      SCREAMING_SNAKE_CASE_					=    make_file_instructions(__UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase							)
      assert isinstance(__UpperCAmelCase    ,    __UpperCAmelCase							)
      assert file_instructions.num_examples == 33
      assert file_instructions.file_instructions == [
          {"filename": os.path.join(__UpperCAmelCase    ,    f"{name}-train-00000-of-00010.arrow"							), "skip": 0, "take": -1},
          {"filename": os.path.join(__UpperCAmelCase    ,    f"{name}-train-00001-of-00010.arrow"							), "skip": 0, "take": -1},
          {"filename": os.path.join(__UpperCAmelCase    ,    f"{name}-train-00002-of-00010.arrow"							), "skip": 0, "take": -1},
          {"filename": os.path.join(__UpperCAmelCase    ,    f"{name}-train-00003-of-00010.arrow"							), "skip": 0, "take": 3},
      ]





@pytest.mark.parametrize('name, expected_exception'    ,    [(None, TypeError), ('', ValueError)]							)
def       UpperCAmelCase_							(   __UpperCAmelCase		:			Any    ,    __UpperCAmelCase		:			List[str]							)      ->				Optional[Any]:
      SCREAMING_SNAKE_CASE_					=    [SplitInfo(name='train'    ,    num_examples=1_00							)]
      SCREAMING_SNAKE_CASE_					=    'train'
      SCREAMING_SNAKE_CASE_					=    'arrow'
      SCREAMING_SNAKE_CASE_					=    'prefix_path'
      with pytest.raises(__UpperCAmelCase							):
            SCREAMING_SNAKE_CASE_					=    make_file_instructions(__UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase    ,    __UpperCAmelCase							)