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 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def 		__snake_case						(			self					:  Union[str, Any]			,    lowercase__					:  Tuple			,    lowercase__					:  Optional[int]=False):







        '''simple docstring'''



        lowerCAmelCase__	,					lowerCAmelCase__	,					lowerCAmelCase__     	=					(
            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()
        lowerCAmelCase__     	=					pa.Table.from_pydict({'filename': [Path(lowercase__).name] * 100})
        if take == -1:
               lowerCAmelCase__     	=					len(lowercase__) - skip
        if skip is not None and take is not None:
               lowerCAmelCase__     	=					pa_table.slice(lowercase__			,    lowercase__)
        return pa_table






class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def 		__snake_case						(			self					:  Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__     	=					'my_name'
        lowerCAmelCase__     	=					SplitInfo(name='train'			,    num_examples=100)
        lowerCAmelCase__     	=					SplitInfo(name='test'			,    num_examples=100)
        lowerCAmelCase__     	=					[train_info, test_info]
        lowerCAmelCase__     	=					SplitDict()
        split_dict.add(lowercase__)
        split_dict.add(lowercase__)
        lowerCAmelCase__     	=					DatasetInfo(splits=lowercase__)

        with tempfile.TemporaryDirectory() as tmp_dir:
               lowerCAmelCase__     	=					ReaderTest(lowercase__			,    lowercase__)

               lowerCAmelCase__     	=					'test[:33%]'
               lowerCAmelCase__     	=					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)

               lowerCAmelCase__     	=					['train', 'test[:33%]']
               lowerCAmelCase__     	=					[Split.TRAIN, ReadInstruction.from_spec('test[:33%]')]
               for instructions in [instructionsa, instructionsa]:
                      lowerCAmelCase__     	=					[reader.read(lowercase__			,    lowercase__			,    lowercase__) for instr in instructions]
                      lowerCAmelCase__	,					lowerCAmelCase__     	=					(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 		__snake_case						(			self					:  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__     	=					'my_name'
        lowerCAmelCase__     	=					SplitInfo(name='train'			,    num_examples=1_000			,    shard_lengths=[100] * 10)
        lowerCAmelCase__     	=					[train_info]
        lowerCAmelCase__     	=					SplitDict()
        split_dict.add(lowercase__)
        lowerCAmelCase__     	=					DatasetInfo(splits=lowercase__)

        with tempfile.TemporaryDirectory() as tmp_dir:
               lowerCAmelCase__     	=					ReaderTest(lowercase__			,    lowercase__)

               lowerCAmelCase__     	=					'train[:33%]'
               lowerCAmelCase__     	=					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 		__snake_case						(			self					:  int):







        '''simple docstring'''



        lowerCAmelCase__     	=					SplitInfo(name='train'			,    num_examples=100)
        lowerCAmelCase__     	=					SplitInfo(name='test'			,    num_examples=100)
        lowerCAmelCase__     	=					SplitDict()
        split_dict.add(lowercase__)
        split_dict.add(lowercase__)
        lowerCAmelCase__     	=					DatasetInfo(splits=lowercase__)

        with tempfile.TemporaryDirectory() as tmp_dir:
               lowerCAmelCase__     	=					ReaderTest(lowercase__			,    lowercase__)

               lowerCAmelCase__     	=					[
                   {'filename': os.path.join(lowercase__			,    'train')},
                   {'filename': os.path.join(lowercase__			,    'test'), 'skip': 10, 'take': 10},
               ]
               lowerCAmelCase__     	=					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       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					arrow_file
       with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
              lowerCAmelCase__     	=					ArrowReader.read_table(lowerCAmelCase__	,  in_memory=lowerCAmelCase__	)
       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       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					arrow_file
       lowerCAmelCase__     	=					ArrowReader(''	,  lowerCAmelCase__	)
       with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
              lowerCAmelCase__     	=					reader.read_files([{'filename': filename}]	,  in_memory=lowerCAmelCase__	)
       assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
       lowerCAmelCase__     	=					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       __lowerCamelCase		(						):
       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%]"

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

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

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

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

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

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






def       __lowerCamelCase		(						):
       lowerCAmelCase__     	=					'dummy'
       lowerCAmelCase__     	=					[SplitInfo(name='train'	,  num_examples=1_0_0	)]
       lowerCAmelCase__     	=					'train[:33%]'
       lowerCAmelCase__     	=					'arrow'
       lowerCAmelCase__     	=					'prefix'

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

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






@pytest.mark.parametrize('name, expected_exception'	,  [(None, TypeError), ('', ValueError)]	)
def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					[SplitInfo(name='train'	,  num_examples=1_0_0	)]
       lowerCAmelCase__     	=					'train'
       lowerCAmelCase__     	=					'arrow'
       lowerCAmelCase__     	=					'prefix_path'
       with pytest.raises(lowerCAmelCase__	):
              lowerCAmelCase__     	=					make_file_instructions(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__							= logging.get_logger(__name__)

lowerCAmelCase__							= {
    'dandelin/vilt-b32-mlm': 'https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					'vilt'




 def __init__(			self					:  Optional[Any]			,    lowercase__					:  Dict=30_522			,    lowercase__					:  Tuple=2			,    lowercase__					:  int=2			,    lowercase__					:  Optional[int]=40			,    lowercase__					:  Optional[int]=768			,    lowercase__					:  Tuple=12			,    lowercase__					:  Tuple=12			,    lowercase__					:  Union[str, Any]=3_072			,    lowercase__					:  int="gelu"			,    lowercase__					:  Tuple=0.0			,    lowercase__					:  Dict=0.0			,    lowercase__					:  Optional[int]=0.02			,    lowercase__					:  Tuple=1e-12			,    lowercase__					:  Dict=384			,    lowercase__					:  int=32			,    lowercase__					:  List[str]=3			,    lowercase__					:  int=True			,    lowercase__					:  List[str]=-1			,    lowercase__					:  Union[str, Any]=False			,    lowercase__					:  List[str]=-1			,    **lowercase__					:  int			,    ):







        '''simple docstring'''



        super().__init__(tie_word_embeddings=lowercase__			,    **lowercase__)

        lowerCAmelCase__     	=					vocab_size
        lowerCAmelCase__     	=					type_vocab_size
        lowerCAmelCase__     	=					modality_type_vocab_size
        lowerCAmelCase__     	=					max_position_embeddings

        lowerCAmelCase__     	=					hidden_size
        lowerCAmelCase__     	=					num_hidden_layers
        lowerCAmelCase__     	=					num_attention_heads
        lowerCAmelCase__     	=					intermediate_size
        lowerCAmelCase__     	=					hidden_act
        lowerCAmelCase__     	=					hidden_dropout_prob
        lowerCAmelCase__     	=					attention_probs_dropout_prob
        lowerCAmelCase__     	=					initializer_range
        lowerCAmelCase__     	=					layer_norm_eps

        lowerCAmelCase__     	=					image_size
        lowerCAmelCase__     	=					patch_size
        lowerCAmelCase__     	=					num_channels
        lowerCAmelCase__     	=					qkv_bias
        lowerCAmelCase__     	=					max_image_length
        lowerCAmelCase__     	=					num_images
