



'''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    lowerCamelCase_				(						_UpperCAmelCase	):






   '''simple docstring'''

   def 						_UpperCamelCase							(	self  ,    __UpperCamelCase  ,    __UpperCamelCase=False			):
       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] * 1_00}			)
       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    lowerCamelCase_				(						_UpperCAmelCase	):






   '''simple docstring'''

   def 						_UpperCamelCase							(	self			):
       UpperCamelCase__	     =      """my_name"""
       UpperCamelCase__	     =      SplitInfo(name="train"  ,    num_examples=1_00			)
       UpperCamelCase__	     =      SplitInfo(name="test"  ,    num_examples=1_00			)
       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__	     =      (Dataset(**lowercase_			) for dataset_kwargs in datasets_kwargs)
               self.assertEqual(train_dset["filename"][0]  ,    f'{name}-train'			)
               self.assertEqual(train_dset.num_rows  ,    1_00			)
               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 						_UpperCamelCase							(	self			):
       UpperCamelCase__	     =      """my_name"""
       UpperCamelCase__	     =      SplitInfo(name="train"  ,    num_examples=10_00  ,    shard_lengths=[1_00] * 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  ,    3_30			)
           self.assertEqual(dset.num_columns  ,    1			)







   def 						_UpperCamelCase							(	self			):
       UpperCamelCase__	     =      SplitInfo(name="train"  ,    num_examples=1_00			)
       UpperCamelCase__	     =      SplitInfo(name="test"  ,    num_examples=1_00			)
       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  ,    1_10			)
           self.assertEqual(dset.num_columns  ,    1			)
           del dset





@pytest.mark.parametrize("in_memory"       ,	[False, True]						)
def     snake_case__			(lowerCAmelCase_       ,	lowerCAmelCase_       ,	lowerCAmelCase_						):
    UpperCamelCase__	     =      arrow_file
    with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
        UpperCamelCase__	     =      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     snake_case__			(lowerCAmelCase_       ,	lowerCAmelCase_       ,	lowerCAmelCase_						):
    UpperCamelCase__	     =      arrow_file
    UpperCamelCase__	     =      ArrowReader(""       ,	UpperCAmelCase__						)
    with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
        UpperCamelCase__	     =      reader.read_files([{"filename": filename}]       ,	in_memory=UpperCAmelCase__						)
    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__			():
    assert ReadInstruction("train"       ,	to=10       ,	unit="abs"						).to_spec() == "train[:10]"
    assert ReadInstruction("train"       ,	from_=-80       ,	to=10       ,	unit="%"						).to_spec() == "train[-80%:10%]"

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

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

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

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

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

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





def     snake_case__			():
    UpperCamelCase__	     =      """dummy"""
    UpperCamelCase__	     =      [SplitInfo(name="train"       ,	num_examples=1_00						)]
    UpperCamelCase__	     =      """train[:33%]"""
    UpperCamelCase__	     =      """arrow"""
    UpperCamelCase__	     =      """prefix"""

    UpperCamelCase__	     =      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}
    ]

    UpperCamelCase__	     =      [SplitInfo(name="train"       ,	num_examples=1_00       ,	shard_lengths=[10] * 10						)]
    UpperCamelCase__	     =      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     snake_case__			(lowerCAmelCase_       ,	lowerCAmelCase_						):
    UpperCamelCase__	     =      [SplitInfo(name="train"       ,	num_examples=1_00						)]
    UpperCamelCase__	     =      """train"""
    UpperCamelCase__	     =      """arrow"""
    UpperCamelCase__	     =      """prefix_path"""
    with pytest.raises(UpperCAmelCase__						):
        UpperCamelCase__	     =      make_file_instructions(UpperCAmelCase__       ,	UpperCAmelCase__       ,	UpperCAmelCase__       ,	UpperCAmelCase__       ,	UpperCAmelCase__						)





'''simple docstring'''




_lowercase		:					List[str]													=		"\n# Diffusers installation\n! pip install diffusers transformers datasets accelerate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/diffusers.git\n"

_lowercase		:					Union[str, Any]													=		[{"type": "code", "content": INSTALL_CONTENT}]





