






'''simple docstring'''





import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest

from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import ArrayaD, ClassLabel, Features, Image, Value
from datasets.features.features import ArrayaDExtensionType, cast_to_python_objects
from datasets.keyhash import DuplicatedKeysError, InvalidKeyError

from .utils import require_pil
class 				lowercase       (							__lowerCamelCase      ):


				'''simple docstring'''

				def    a__				(					self     :     str     )							->							List[Any]:

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence([1, 2, 3]     )     )
					self.assertEqual(arr.type				,     pa.intaa()     )

				def    a__				(					self     :     Dict     )							->							Dict:

					'''simple docstring'''




					with self.assertRaises(SCREAMING_SNAKE_CASE_     ):
						lowerCamelCase__  =     pa.array(TypedSequence([1, 2, 3]     )				,     type=pa.intaa()     )

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

					'''simple docstring'''




					with self.assertRaises(SCREAMING_SNAKE_CASE_     ):
						lowerCamelCase__  =     pa.array(TypedSequence([1, 2, 3]				,     try_type=Value("bool"     )				,     type=Value("int64"     )     )     )

				def    a__				(					self     :     List[Any]     )							->							Any:

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence([1, 2, 3]				,     type=Value("int32"     )     )     )
					self.assertEqual(arr.type				,     pa.intaa()     )

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

					'''simple docstring'''




					with self.assertRaises((TypeError, pa.lib.ArrowInvalid)     ):
						lowerCamelCase__  =     pa.array(TypedSequence(["foo", "bar"]				,     type=Value("int64"     )     )     )

				def    a__				(					self     :     Any     )							->							Optional[Any]:

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence([1, 2, 3]				,     try_type=Value("int32"     )     )     )
					self.assertEqual(arr.type				,     pa.intaa()     )

				def    a__				(					self     :     List[Any]     )							->							Optional[Any]:

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence(["foo", "bar"]				,     try_type=Value("int64"     )     )     )
					self.assertEqual(arr.type				,     pa.string()     )

				def    a__				(					self     :     Optional[Any]     )							->							Any:

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence([[[1, 2, 3]]]				,     type=ArrayaD((1, 3)				,     "int64"     )     )     )
					self.assertEqual(arr.type				,     ArrayaDExtensionType((1, 3)				,     "int64"     )     )

				def    a__				(					self     :     Dict     )							->							List[str]:

					'''simple docstring'''




					with self.assertRaises((TypeError, pa.lib.ArrowInvalid)     ):
						lowerCamelCase__  =     pa.array(TypedSequence(["foo", "bar"]				,     type=ArrayaD((1, 3)				,     "int64"     )     )     )

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

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence([[[1, 2, 3]]]				,     try_type=ArrayaD((1, 3)				,     "int64"     )     )     )
					self.assertEqual(arr.type				,     ArrayaDExtensionType((1, 3)				,     "int64"     )     )

				def    a__				(					self     :     Optional[Any]     )							->							List[str]:

					'''simple docstring'''




					lowerCamelCase__  =     pa.array(TypedSequence(["foo", "bar"]				,     try_type=ArrayaD((1, 3)				,     "int64"     )     )     )
					self.assertEqual(arr.type				,     pa.string()     )




				@require_pil
				def    a__				(					self     :     Any     )							->							Optional[int]:

					'''simple docstring'''




					import PIL.Image

					lowerCamelCase__  =     PIL.Image.fromarray(np.arange(10				,     dtype=np.uinta     ).reshape(2				,     5     )     )
					with patch(
					    "datasets.arrow_writer.cast_to_python_objects"				,     side_effect=SCREAMING_SNAKE_CASE_     ) as mock_cast_to_python_objects:
						lowerCamelCase__  =     pa.array(TypedSequence([{"path": None, "bytes": B"image_bytes"}, pil_image]				,     type=Image()     )     )
						lowerCamelCase__  ,	lowerCamelCase__  =     mock_cast_to_python_objects.call_args_list[-1]
						self.assertIn("optimize_list_casting"				,     SCREAMING_SNAKE_CASE_     )
						self.assertFalse(kwargs["optimize_list_casting"]     )






def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.BufferReader(__a) if isinstance(__a				,     pa.Buffer) else pa.memory_map(__a)
	lowerCamelCase__  =     pa.ipc.open_stream(__a)
	lowerCamelCase__  =     f.read_all()
	assert len(pa_table.to_batches()) == expected_num_chunks
	assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
	del pa_table






@pytest.mark.parametrize("writer_batch_size"				,     [None, 1, 10])
@pytest.mark.parametrize(
    "fields"				,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}])
def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	lowerCamelCase__  =     pa.schema(__a) if fields else None
	with ArrowWriter(stream=__a				,     schema=__a				,     writer_batch_size=__a) as writer:
		writer.write({"col_1": "foo", "col_2": 1})
		writer.write({"col_1": "bar", "col_2": 2})
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	if not fields:
		lowerCamelCase__  =     {"col_1": pa.string(), "col_2": pa.intaa()}
	assert writer._schema == pa.schema(__a				,     metadata=writer._schema.metadata)
	_check_output(output.getvalue()				,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1)






def    lowerCamelCase_     (    ):
	lowerCamelCase__  =     pa.BufferOutputStream()
	lowerCamelCase__  =     Features({"labels": ClassLabel(names=["neg", "pos"])})
	with ArrowWriter(stream=__a				,     features=__a) as writer:
		writer.write({"labels": 0})
		writer.write({"labels": 1})
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	assert writer._schema == features.arrow_schema
	assert writer._schema.metadata == features.arrow_schema.metadata
	lowerCamelCase__  =     pa.BufferReader(output.getvalue())
	lowerCamelCase__  =     pa.ipc.open_stream(__a)
	lowerCamelCase__  =     f.read_all()
	lowerCamelCase__  =     pa_table.schema
	assert pa_table.num_rows == 2
	assert schema == features.arrow_schema
	assert schema.metadata == features.arrow_schema.metadata
	assert features == Features.from_arrow_schema(__a)






@pytest.mark.parametrize("writer_batch_size"				,     [None, 1, 10])
def    lowerCamelCase_     (    lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	with ArrowWriter(
	    stream=__a				,     writer_batch_size=__a				,     hash_salt="split_name"				,     check_duplicates=__a				,     ) as writer:
		with pytest.raises(__a):
			writer.write({"col_1": "foo", "col_2": 1}				,     key=[1, 2])
			lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()






@pytest.mark.parametrize("writer_batch_size"				,     [None, 2, 10])
def    lowerCamelCase_     (    lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	with ArrowWriter(
	    stream=__a				,     writer_batch_size=__a				,     hash_salt="split_name"				,     check_duplicates=__a				,     ) as writer:
		with pytest.raises(__a):
			writer.write({"col_1": "foo", "col_2": 1}				,     key=10)
			writer.write({"col_1": "bar", "col_2": 2}				,     key=10)
			lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()






@pytest.mark.parametrize("writer_batch_size"				,     [None, 2, 10])
def    lowerCamelCase_     (    lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	with ArrowWriter(
	    stream=__a				,     writer_batch_size=__a				,     hash_salt="split_name"				,     check_duplicates=__a				,     ) as writer:
		writer.write({"col_1": "foo", "col_2": 1}				,     key=1)
		writer.write({"col_1": "bar", "col_2": 2}				,     key=2)
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	_check_output(output.getvalue()				,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1)






@pytest.mark.parametrize("writer_batch_size"				,     [None, 1, 10])
@pytest.mark.parametrize(
    "fields"				,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}])
def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	lowerCamelCase__  =     pa.schema(__a) if fields else None
	with ArrowWriter(stream=__a				,     schema=__a				,     writer_batch_size=__a) as writer:
		writer.write_batch({"col_1": ["foo", "bar"], "col_2": [1, 2]})
		writer.write_batch({"col_1": [], "col_2": []})
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	if not fields:
		lowerCamelCase__  =     {"col_1": pa.string(), "col_2": pa.intaa()}
	assert writer._schema == pa.schema(__a				,     metadata=writer._schema.metadata)
	_check_output(output.getvalue()				,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1)






@pytest.mark.parametrize("writer_batch_size"				,     [None, 1, 10])
@pytest.mark.parametrize(
    "fields"				,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}])
def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	lowerCamelCase__  =     pa.schema(__a) if fields else None
	with ArrowWriter(stream=__a				,     schema=__a				,     writer_batch_size=__a) as writer:
		writer.write_table(pa.Table.from_pydict({"col_1": ["foo", "bar"], "col_2": [1, 2]}))
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	if not fields:
		lowerCamelCase__  =     {"col_1": pa.string(), "col_2": pa.intaa()}
	assert writer._schema == pa.schema(__a				,     metadata=writer._schema.metadata)
	_check_output(output.getvalue()				,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1)






@pytest.mark.parametrize("writer_batch_size"				,     [None, 1, 10])
@pytest.mark.parametrize(
    "fields"				,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}])
def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.BufferOutputStream()
	lowerCamelCase__  =     pa.schema(__a) if fields else None
	with ArrowWriter(stream=__a				,     schema=__a				,     writer_batch_size=__a) as writer:
		writer.write_row(pa.Table.from_pydict({"col_1": ["foo"], "col_2": [1]}))
		writer.write_row(pa.Table.from_pydict({"col_1": ["bar"], "col_2": [2]}))
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	if not fields:
		lowerCamelCase__  =     {"col_1": pa.string(), "col_2": pa.intaa()}
	assert writer._schema == pa.schema(__a				,     metadata=writer._schema.metadata)
	_check_output(output.getvalue()				,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1)






def    lowerCamelCase_     (    ):




	with tempfile.TemporaryDirectory() as tmp_dir:
		lowerCamelCase__  =     {"col_1": pa.string(), "col_2": pa.intaa()}
		lowerCamelCase__  =     os.path.join(__a				,     "test.arrow")
		with ArrowWriter(path=__a				,     schema=pa.schema(__a)) as writer:
			writer.write_batch({"col_1": ["foo", "bar"], "col_2": [1, 2]})
			lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
		assert num_examples == 2
		assert num_bytes > 0
		assert writer._schema == pa.schema(__a				,     metadata=writer._schema.metadata)
		_check_output(__a				,     1)






def    lowerCamelCase_     (    lowercase__):




	if pa.types.is_list(__a):
		return get_base_dtype(arr_type.value_type)
	else:
		return arr_type






def    lowerCamelCase_     (    lowercase__				,     lowercase__):




	if isinstance(lst[0]				,     __a):
		change_first_primitive_element_in_list(lst[0]				,     __a)
	else:
		lowerCamelCase__  =     value






@pytest.mark.parametrize("optimized_int_type, expected_dtype"				,     [(None, pa.intaa()), (Value("int32"), pa.intaa())])
@pytest.mark.parametrize("sequence"				,     [[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]])
def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.array(TypedSequence(__a				,     optimized_int_type=__a))
	assert get_base_dtype(arr.type) == expected_dtype






@pytest.mark.parametrize(
    "col, expected_dtype"				,     [
        ("attention_mask", pa.inta()),
        ("special_tokens_mask", pa.inta()),
        ("token_type_ids", pa.inta()),
        ("input_ids", pa.intaa()),
        ("other", pa.intaa()),
    ]				,     )
@pytest.mark.parametrize("sequence"				,     [[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]])
def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
	lowerCamelCase__  =     pa.array(OptimizedTypedSequence(__a				,     col=__a))
	assert get_base_dtype(arr.type) == expected_dtype

	# not in range
	if col != "other":
		# avoids errors due to in-place modifications
		lowerCamelCase__  =     copy.deepcopy(__a)
		lowerCamelCase__  =     np.iinfo(expected_dtype.to_pandas_dtype()).max + 1
		change_first_primitive_element_in_list(__a				,     __a)
		lowerCamelCase__  =     pa.array(OptimizedTypedSequence(__a				,     col=__a))
		assert get_base_dtype(arr.type) == pa.intaa()






@pytest.mark.parametrize("raise_exception"				,     [False, True])
def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	lowerCamelCase__  =     str(tmp_path / "dataset-train.arrow")
	try:
		with ArrowWriter(path=__a) as writer:
			if raise_exception:
				raise pa.lib.ArrowInvalid()
			else:
				writer.stream.close()
	except pa.lib.ArrowInvalid:
		pass
	finally:
		assert writer.stream.closed






def    lowerCamelCase_     (    lowercase__):
	lowerCamelCase__  =     "mock://dataset-train.arrow"
	with ArrowWriter(path=__a				,     storage_options=mockfs.storage_options) as writer:
		assert isinstance(writer._fs				,     type(__a))
		assert writer._fs.storage_options == mockfs.storage_options
		writer.write({"col_1": "foo", "col_2": 1})
		writer.write({"col_1": "bar", "col_2": 2})
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	assert mockfs.exists(__a)






def    lowerCamelCase_     (    ):
	lowerCamelCase__  =     pa.BufferOutputStream()
	with ParquetWriter(stream=__a) as writer:
		writer.write({"col_1": "foo", "col_2": 1})
		writer.write({"col_1": "bar", "col_2": 2})
		lowerCamelCase__  ,	lowerCamelCase__  =     writer.finalize()
	assert num_examples == 2
	assert num_bytes > 0
	lowerCamelCase__  =     pa.BufferReader(output.getvalue())
	lowerCamelCase__  =     pq.read_table(__a)
	assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}






@require_pil
@pytest.mark.parametrize("embed_local_files"				,     [False, True])
def    lowerCamelCase_     (    lowercase__				,     lowercase__):
	import PIL.Image

	lowerCamelCase__  =     str(tmp_path / "test_image_rgb.jpg")
	PIL.Image.fromarray(np.zeros((5, 5)				,     dtype=np.uinta)).save(__a				,     format="png")
	lowerCamelCase__  =     pa.BufferOutputStream()
	with ParquetWriter(
	    stream=__a				,     features=Features({"image": Image()})				,     embed_local_files=__a) as writer:
		writer.write({"image": image_path})
		writer.finalize()
	lowerCamelCase__  =     pa.BufferReader(output.getvalue())
	lowerCamelCase__  =     pq.read_table(__a)
	lowerCamelCase__  =     pa_table.to_pydict()
	if embed_local_files:
		assert isinstance(out["image"][0]["path"]				,     __a)
		with open(__a				,     "rb") as f:
			assert out["image"][0]["bytes"] == f.read()
	else:
		assert out["image"][0]["path"] == image_path
		assert out["image"][0]["bytes"] is None






def    lowerCamelCase_     (    ):
	lowerCamelCase__  =     pa.schema([pa.field("col_1"				,     pa.string()				,     nullable=__a)])
	lowerCamelCase__  =     pa.BufferOutputStream()
	with ArrowWriter(stream=__a) as writer:
		writer._build_writer(inferred_schema=__a)
		assert writer._schema == pa.schema([pa.field("col_1"				,     pa.string())])









'''simple docstring'''





from __future__ import annotations






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 lowerCamelCase__  =     list(range(len(lowercase__)))
 lowerCamelCase__  =     [v / w for v, w in zip(lowercase__				,     lowercase__)]
 index.sort(key=lambda lowercase__: ratio[i]				,     reverse=lowercase__)

 lowerCamelCase__  =     0
 lowerCamelCase__  =     [0] * len(lowercase__)
 for i in index:
  if weight[i] <= capacity:
   lowerCamelCase__  =     1
   max_value += value[i]
   capacity -= weight[i]
  else:
   lowerCamelCase__  =     capacity / weight[i]
   max_value += value[i] * capacity / weight[i]
   break

 return max_value, fractions


if __name__ == "__main__":
 import doctest

 doctest.testmod()

