
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 		lowercase_       (       __SCREAMING_SNAKE_CASE				):

 def lowerCamelCase_				(      self     ,	__UpperCamelCase     ,	__UpperCamelCase=False     ):




        """simple docstring"""


        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(__UpperCamelCase     )     ,	"""wb"""     ).close()
        UpperCamelCase_							       =       pa.Table.from_pydict({"""filename""": [Path(__UpperCamelCase     ).name] * 1_0_0}     )
        if take == -1:
               UpperCamelCase_							       =       len(__UpperCamelCase     ) - skip
        if skip is not None and take is not None:
               UpperCamelCase_							       =       pa_table.slice(__UpperCamelCase     ,	__UpperCamelCase     )
        return pa_table



class 		lowercase_       (       __SCREAMING_SNAKE_CASE				):

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       """my_name"""
        UpperCamelCase_							       =       SplitInfo(name="""train"""     ,	num_examples=1_0_0     )
        UpperCamelCase_							       =       SplitInfo(name="""test"""     ,	num_examples=1_0_0     )
        UpperCamelCase_							       =       [train_info, test_info]
        UpperCamelCase_							       =       SplitDict()
        split_dict.add(__UpperCamelCase     )
        split_dict.add(__UpperCamelCase     )
        UpperCamelCase_							       =       DatasetInfo(splits=__UpperCamelCase     )

        with tempfile.TemporaryDirectory() as tmp_dir:
               UpperCamelCase_							       =       ReaderTest(__UpperCamelCase     ,	__UpperCamelCase     )

               UpperCamelCase_							       =       """test[:33%]"""
               UpperCamelCase_							       =       Dataset(**reader.read(__UpperCamelCase     ,	__UpperCamelCase     ,	__UpperCamelCase     )     )
               self.assertEqual(dset["""filename"""][0]     ,	f'''{name}-test'''     )
               self.assertEqual(dset.num_rows     ,	3_3     )
               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(__UpperCamelCase     ,	__UpperCamelCase     ,	__UpperCamelCase     ) for instr in instructions]
                      UpperCamelCase_       ,				UpperCamelCase_							       =       (Dataset(**__UpperCamelCase     ) for dataset_kwargs in datasets_kwargs)
                      self.assertEqual(train_dset["""filename"""][0]     ,	f'''{name}-train'''     )
                      self.assertEqual(train_dset.num_rows     ,	1_0_0     )
                      self.assertEqual(train_dset.num_columns     ,	1     )
                      self.assertIsInstance(train_dset.split     ,	__UpperCamelCase     )
                      self.assertEqual(str(train_dset.split     )     ,	"""train"""     )
                      self.assertEqual(test_dset["""filename"""][0]     ,	f'''{name}-test'''     )
                      self.assertEqual(test_dset.num_rows     ,	3_3     )
                      self.assertEqual(test_dset.num_columns     ,	1     )
                      self.assertIsInstance(test_dset.split     ,	__UpperCamelCase     )
                      self.assertEqual(str(test_dset.split     )     ,	"""test[:33%]"""     )
                      del train_dset, test_dset

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       """my_name"""
        UpperCamelCase_							       =       SplitInfo(name="""train"""     ,	num_examples=1_0_0_0     ,	shard_lengths=[1_0_0] * 1_0     )
        UpperCamelCase_							       =       [train_info]
        UpperCamelCase_							       =       SplitDict()
        split_dict.add(__UpperCamelCase     )
        UpperCamelCase_							       =       DatasetInfo(splits=__UpperCamelCase     )

        with tempfile.TemporaryDirectory() as tmp_dir:
               UpperCamelCase_							       =       ReaderTest(__UpperCamelCase     ,	__UpperCamelCase     )

               UpperCamelCase_							       =       """train[:33%]"""
               UpperCamelCase_							       =       Dataset(**reader.read(__UpperCamelCase     ,	__UpperCamelCase     ,	__UpperCamelCase     )     )
               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_3_0     )
               self.assertEqual(dset.num_columns     ,	1     )

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       SplitInfo(name="""train"""     ,	num_examples=1_0_0     )
        UpperCamelCase_							       =       SplitInfo(name="""test"""     ,	num_examples=1_0_0     )
        UpperCamelCase_							       =       SplitDict()
        split_dict.add(__UpperCamelCase     )
        split_dict.add(__UpperCamelCase     )
        UpperCamelCase_							       =       DatasetInfo(splits=__UpperCamelCase     )

        with tempfile.TemporaryDirectory() as tmp_dir:
               UpperCamelCase_							       =       ReaderTest(__UpperCamelCase     ,	__UpperCamelCase     )

               UpperCamelCase_							       =       [
                   {"""filename""": os.path.join(__UpperCamelCase     ,	"""train"""     )},
                   {"""filename""": os.path.join(__UpperCamelCase     ,	"""test"""     ), """skip""": 1_0, """take""": 1_0},
               ]
               UpperCamelCase_							       =       Dataset(**reader.read_files(__UpperCamelCase     ,	original_instructions="""train+test[10:20]"""     )     )
               self.assertEqual(dset.num_rows     ,	1_1_0     )
               self.assertEqual(dset.num_columns     ,	1     )
               del dset




@pytest.mark.parametrize("""in_memory"""	,      [False, True]     )
def 				lowerCamelCase__				(						a__  :  Any	,      a__  :  Union[str, Any]	,      a__  :  Dict     ):
       UpperCamelCase_							       =       arrow_file
       with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
              UpperCamelCase_							       =       ArrowReader.read_table(a__	,      in_memory=a__     )
       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__				(						a__  :  int	,      a__  :  Tuple	,      a__  :  str     ):
       UpperCamelCase_							       =       arrow_file
       UpperCamelCase_							       =       ArrowReader(""""""	,      a__     )
       with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
              UpperCamelCase_							       =       reader.read_files([{"""filename""": filename}]	,      in_memory=a__     )
       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 				lowerCamelCase__				(						):
       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(a__     ).to_spec() == spec_train_test

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

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

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

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

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




def 				lowerCamelCase__				(						):
       UpperCamelCase_							       =       """dummy"""
       UpperCamelCase_							       =       [SplitInfo(name="""train"""	,      num_examples=100     )]
       UpperCamelCase_							       =       """train[:33%]"""
       UpperCamelCase_							       =       """arrow"""
       UpperCamelCase_							       =       """prefix"""

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

       UpperCamelCase_							       =       [SplitInfo(name="""train"""	,      num_examples=100	,      shard_lengths=[10] * 10     )]
       UpperCamelCase_							       =       make_file_instructions(a__	,      a__	,      a__	,      a__	,      a__     )
       assert isinstance(a__	,      a__     )
       assert file_instructions.num_examples == 33
       assert file_instructions.file_instructions == [
           {"filename": os.path.join(a__	,      f'''{name}-train-00000-of-00010.arrow'''     ), "skip": 0, "take": -1},
           {"filename": os.path.join(a__	,      f'''{name}-train-00001-of-00010.arrow'''     ), "skip": 0, "take": -1},
           {"filename": os.path.join(a__	,      f'''{name}-train-00002-of-00010.arrow'''     ), "skip": 0, "take": -1},
           {"filename": os.path.join(a__	,      f'''{name}-train-00003-of-00010.arrow'''     ), "skip": 0, "take": 3},
       ]







@pytest.mark.parametrize("""name, expected_exception"""	,      [(None, TypeError), ("""""", ValueError)]     )
def 				lowerCamelCase__				(						a__  :  int	,      a__  :  Dict     ):
       UpperCamelCase_							       =       [SplitInfo(name="""train"""	,      num_examples=100     )]
       UpperCamelCase_							       =       """train"""
       UpperCamelCase_							       =       """arrow"""
       UpperCamelCase_							       =       """prefix_path"""
       with pytest.raises(a__     ):
              UpperCamelCase_							       =       make_file_instructions(a__	,      a__	,      a__	,      a__	,      a__     )





def 				lowerCamelCase__				(						a__  :  float	,      a__  :  float	,      a__  :  float     )		->	float:
       if mass < 0:
              raise ValueError("""The mass of the body cannot be negative"""     )
       if radius <= 0:
              raise ValueError("""The radius is always a positive non zero integer"""     )
       return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



