





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       (						a__  ):

       def lowercase			(		self:			Any       , _SCREAMING_SNAKE_CASE:			Optional[int]       , _SCREAMING_SNAKE_CASE:			Tuple=False		)							->			Optional[int]:




              """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(_SCREAMING_SNAKE_CASE		)       , "wb"		).close()
              UpperCamelCase_ 							=	pa.Table.from_pydict({"filename": [Path(_SCREAMING_SNAKE_CASE		).name] * 100}		)
              if take == -1:
                     UpperCamelCase_ 							=	len(_SCREAMING_SNAKE_CASE		) - skip
              if skip is not None and take is not None:
                     UpperCamelCase_ 							=	pa_table.slice(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		)
              return pa_table



class 				_UpperCamelCase       (						a__  ):

       def lowercase			(		self:			Union[str, Any]		)							->			str:




              """simple docstring"""


              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(_SCREAMING_SNAKE_CASE		)
              split_dict.add(_SCREAMING_SNAKE_CASE		)
              UpperCamelCase_ 							=	DatasetInfo(splits=_SCREAMING_SNAKE_CASE		)

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

                     UpperCamelCase_ 							=	"test[:33%]"
                     UpperCamelCase_ 							=	Dataset(**reader.read(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		)		)
                     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(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		) for instr in instructions]
                            UpperCamelCase_							,			UpperCamelCase_ 							=	(Dataset(**_SCREAMING_SNAKE_CASE		) 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       , _SCREAMING_SNAKE_CASE		)
                            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       , _SCREAMING_SNAKE_CASE		)
                            self.assertEqual(str(test_dset.split		)       , "test[:33%]"		)
                            del train_dset, test_dset

       def lowercase			(		self:			Any		)							->			Optional[int]:




              """simple docstring"""


              UpperCamelCase_ 							=	"my_name"
              UpperCamelCase_ 							=	SplitInfo(name="train"       , num_examples=1000       , shard_lengths=[100] * 10		)
              UpperCamelCase_ 							=	[train_info]
              UpperCamelCase_ 							=	SplitDict()
              split_dict.add(_SCREAMING_SNAKE_CASE		)
              UpperCamelCase_ 							=	DatasetInfo(splits=_SCREAMING_SNAKE_CASE		)

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

                     UpperCamelCase_ 							=	"train[:33%]"
                     UpperCamelCase_ 							=	Dataset(**reader.read(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		)		)
                     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 lowercase			(		self:			Optional[Any]		)							->			Dict:




              """simple docstring"""


              UpperCamelCase_ 							=	SplitInfo(name="train"       , num_examples=100		)
              UpperCamelCase_ 							=	SplitInfo(name="test"       , num_examples=100		)
              UpperCamelCase_ 							=	SplitDict()
              split_dict.add(_SCREAMING_SNAKE_CASE		)
              split_dict.add(_SCREAMING_SNAKE_CASE		)
              UpperCamelCase_ 							=	DatasetInfo(splits=_SCREAMING_SNAKE_CASE		)

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

                     UpperCamelCase_ 							=	[
                         {"filename": os.path.join(_SCREAMING_SNAKE_CASE       , "train"		)},
                         {"filename": os.path.join(_SCREAMING_SNAKE_CASE       , "test"		), "skip": 10, "take": 10},
                     ]
                     UpperCamelCase_ 							=	Dataset(**reader.read_files(_SCREAMING_SNAKE_CASE       , 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_			(				UpperCamelCase_       ,		UpperCamelCase_       ,		UpperCamelCase_	)  ->		List[Any]:
       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_			(				UpperCamelCase_       ,		UpperCamelCase_       ,		UpperCamelCase_	)  ->		List[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_			(				)  ->		Any:
       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_			(				)  ->		Optional[Any]:
       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_			(				UpperCamelCase_       ,		UpperCamelCase_	)  ->		str:
       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	)





'''simple docstring'''







from __future__ import annotations

# Define the Gravitational Constant G and the function
a__    :   Optional[int]								=			6.67_43E-11  # unit of G : m^3 * kg^-1 * s^-2







def _UpperCamelCase			(	__A ,     __A ,     __A ,     __A       )				->						dict[str, float]:


      '''simple docstring'''



      UpperCamelCase__      =							mass_a * mass_a

      if (force, mass_a, mass_a, distance).count(0       ) != 1:
            raise ValueError("One and only one argument must be 0"       )
      if force < 0:
            raise ValueError("Gravitational force can not be negative"       )
      if distance < 0:
            raise ValueError("Distance can not be negative"       )
      if mass_a < 0 or mass_a < 0:
            raise ValueError("Mass can not be negative"       )
      if force == 0:
            UpperCamelCase__      =							GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
            return {"force": force}
      elif mass_a == 0:
            UpperCamelCase__      =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
            return {"mass_1": mass_a}
      elif mass_a == 0:
            UpperCamelCase__      =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
            return {"mass_2": mass_a}
      elif distance == 0:
            UpperCamelCase__      =							(GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
            return {"distance": distance}
      raise ValueError("One and only one argument must be 0"       )


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()





