

import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch

import multiprocess
import numpy as np
import pytest

from datasets.utils.py_utils import (
    NestedDataStructure,
    asdict,
    iflatmap_unordered,
    map_nested,
    temp_seed,
    temporary_assignment,
    zip_dict,
)

from .utils import require_tf, require_torch



def    __UpperCAmelCase (	__a      :			Tuple	)			->     Any:  # picklable for multiprocessing

					"""simple docstring"""

					return x.sum()



def    __UpperCAmelCase (	__a      :			Union[str, Any]	)			->     List[str]:  # picklable for multiprocessing

					"""simple docstring"""

					return i + 1

@dataclass
class 				UpperCAmelCase_		:
							"""simple docstring"""







							UpperCAmelCase__       :						int
							UpperCAmelCase__       :						str



class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							def 				__lowercase				(			self       )    ->    str:
												_a	:    Dict         =		{}
												_a	:    Optional[int]         =		[]
												_a	:    List[Any]         =		1
												_a	:    Tuple         =		[1, 2]
												_a	:    Dict         =		{'''a''': 1, '''b''': 2}
												_a	:    Optional[int]         =		{'''a''': [1, 2], '''b''': [3, 4]}
												_a	:    str         =		{'''a''': {'''1''': 1}, '''b''': 2}
												_a	:    Dict         =		{'''a''': 1, '''b''': 2, '''c''': 3, '''d''': 4}
												_a	:    str         =		{}
												_a	:    List[str]         =		[]
												_a	:    List[Any]         =		2
												_a	:    Optional[int]         =		[2, 3]
												_a	:    Tuple         =		{'''a''': 2, '''b''': 3}
												_a	:    Dict         =		{'''a''': [2, 3], '''b''': [4, 5]}
												_a	:    Optional[Any]         =		{'''a''': {'''1''': 2}, '''b''': 3}
												_a	:    Optional[Any]         =		{'''a''': 2, '''b''': 3, '''c''': 4, '''d''': 5}
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       )       ,							_a       )

												_a	:    str         =		2
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(map_nested(_a       ,							_a       ,							num_proc=_a       )       ,							_a       )

												_a	:    Optional[Any]         =		{'''a''': np.eye(2       ), '''b''': np.zeros(3       ), '''c''': np.ones(2       )}
												_a	:    Union[str, Any]         =		{'''a''': 2, '''b''': 0, '''c''': 2}
												_a	:    Any         =		{
												    '''a''': np.eye(2       ).astype(_a       ),
												    '''b''': np.zeros(3       ).astype(_a       ),
												    '''c''': np.ones(2       ).astype(_a       ),
												}
												self.assertEqual(map_nested(_a       ,							_a       ,							map_numpy=_a       )       ,							_a       )
												self.assertEqual(
												    {k: v.tolist() for k, v in map_nested(_a       ,							_a       ,							map_numpy=_a       ).items()}       ,							{k: v.tolist() for k, v in expected_map_nested_sna_int.items()}       ,							)
												self.assertEqual(map_nested(_a       ,							_a       ,							map_numpy=_a       ,							num_proc=_a       )       ,							_a       )
												self.assertEqual(
												    {k: v.tolist() for k, v in map_nested(_a       ,							_a       ,							map_numpy=_a       ,							num_proc=_a       ).items()}       ,							{k: v.tolist() for k, v in expected_map_nested_sna_int.items()}       ,							)
												with self.assertRaises(_a       ):  # can't pickle a local lambda
																	map_nested(lambda _a       : x + 1       ,							_a       ,							num_proc=_a       )


							def 				__lowercase				(			self       )    ->    List[Any]:
												_a	:    List[str]         =		{'''a''': 1, '''b''': 2}
												_a	:    Optional[Any]         =		{'''a''': 3, '''b''': 4}
												_a	:    List[str]         =		{'''a''': 5, '''b''': 6}
												_a	:    Optional[Any]         =		sorted([('''a''', (1, 3, 5)), ('''b''', (2, 4, 6))]       )
												self.assertEqual(sorted(zip_dict(_a       ,							_a       ,							_a       )       )       ,							_a       )




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

												class 				UpperCAmelCase_		:
																			"""simple docstring"""







																			UpperCAmelCase__       :						List[Any]	    =    "bar"



												_a	:    Dict         =		Foo()
												self.assertEqual(foo.my_attr       ,							'''bar'''       )
												with temporary_assignment(_a       ,							'''my_attr'''       ,							'''BAR'''       ):
																	self.assertEqual(foo.my_attr       ,							'''BAR'''       )
												self.assertEqual(foo.my_attr       ,							'''bar'''       )



@pytest.mark.parametrize(
    '''iterable_length, num_proc, expected_num_proc'''		,[
        (1, None, 1),
        (1, 1, 1),
        (2, None, 1),
        (2, 1, 1),
        (2, 2, 1),
        (2, 3, 1),
        (3, 2, 1),
        (16, 16, 16),
        (16, 17, 16),
        (17, 16, 16),
    ]		,)
def    __UpperCAmelCase (	__a      :			Tuple		,__a      :			int		,__a      :			Optional[int]	)			->     int:

					"""simple docstring"""

					with patch('''datasets.utils.py_utils._single_map_nested'''	) as mock_single_map_nested, patch(
					    '''datasets.parallel.parallel.Pool'''	) as mock_multiprocessing_pool:
										_a	:    Union[str, Any]         =		{F"""{i}""": i for i in range(__a	)}
										_a	:    int         =		map_nested(lambda __a	: x + 10		,__a		,num_proc=__a		,parallel_min_length=16	)
										if expected_num_proc == 1:
															assert mock_single_map_nested.called
															assert not mock_multiprocessing_pool.called
										else:
															assert not mock_single_map_nested.called
															assert mock_multiprocessing_pool.called
															assert mock_multiprocessing_pool.call_args[0][0] == expected_num_proc

class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							@require_tf
							def 				__lowercase				(			self       )    ->    List[Any]:
												import tensorflow as tf
												from tensorflow.keras import layers

												_a	:    List[str]         =		layers.Dense(2       )

												def gen_random_output():
																	_a	:    Tuple         =		tf.random.uniform((1, 3)       )
																	return model(_a       ).numpy()

												with temp_seed(4_2       ,							set_tensorflow=_a       ):
																	_a	:    int         =		gen_random_output()
												with temp_seed(4_2       ,							set_tensorflow=_a       ):
																	_a	:    Union[str, Any]         =		gen_random_output()
												_a	:    Any         =		gen_random_output()

												np.testing.assert_equal(_a       ,							_a       )
												self.assertGreater(np.abs(outa - outa       ).sum()       ,							0       )


							@require_torch
							def 				__lowercase				(			self       )    ->    Any:
												import torch

												def gen_random_output():
																	_a	:    int         =		torch.nn.Linear(3       ,							2       )
																	_a	:    Union[str, Any]         =		torch.rand(1       ,							3       )
																	return model(_a       ).detach().numpy()

												with temp_seed(4_2       ,							set_pytorch=_a       ):
																	_a	:    Optional[Any]         =		gen_random_output()
												with temp_seed(4_2       ,							set_pytorch=_a       ):
																	_a	:    Union[str, Any]         =		gen_random_output()
												_a	:    int         =		gen_random_output()

												np.testing.assert_equal(_a       ,							_a       )
												self.assertGreater(np.abs(outa - outa       ).sum()       ,							0       )




							def 				__lowercase				(			self       )    ->    Any:
												def gen_random_output():
																	return np.random.rand(1       ,							3       )

												with temp_seed(4_2       ):
																	_a	:    Dict         =		gen_random_output()
												with temp_seed(4_2       ):
																	_a	:    Any         =		gen_random_output()
												_a	:    Dict         =		gen_random_output()

												np.testing.assert_equal(_a       ,							_a       )
												self.assertGreater(np.abs(outa - outa       ).sum()       ,							0       )



@pytest.mark.parametrize('''input_data'''		,[{}]	)
def    __UpperCAmelCase (	__a      :			Optional[int]	)			->     int:

					"""simple docstring"""

					_a	:    Optional[int]         =		NestedDataStructure(__a	).data
					assert output_data == input_data



@pytest.mark.parametrize(
    '''data, expected_output'''		,[
        ({}, []),
        ([], []),
        ('''foo''', ['''foo''']),
        (['''foo''', '''bar'''], ['''foo''', '''bar''']),
        ([['''foo''', '''bar''']], ['''foo''', '''bar''']),
        ([[['''foo'''], ['''bar''']]], ['''foo''', '''bar''']),
        ([[['''foo'''], '''bar''']], ['''foo''', '''bar''']),
        ({'''a''': 1, '''b''': 2}, [1, 2]),
        ({'''a''': [1, 2], '''b''': [3, 4]}, [1, 2, 3, 4]),
        ({'''a''': [[1, 2]], '''b''': [[3, 4]]}, [1, 2, 3, 4]),
        ({'''a''': [[1, 2]], '''b''': [3, 4]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [[[3], [4]]]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [[3, 4]]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [3, 4]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [3, [4]]}, [1, 2, 3, 4]),
        ({'''a''': {'''1''': 1}, '''b''': 2}, [1, 2]),
        ({'''a''': {'''1''': [1]}, '''b''': 2}, [1, 2]),
        ({'''a''': {'''1''': [1]}, '''b''': [2]}, [1, 2]),
    ]		,)
def    __UpperCAmelCase (	__a      :			Optional[int]		,__a      :			Optional[int]	)			->     List[Any]:

					"""simple docstring"""

					_a	:    Tuple         =		NestedDataStructure(__a	).flatten()
					assert output == expected_output



def    __UpperCAmelCase (	)			->     Optional[int]:

					"""simple docstring"""

					_a	:    Union[str, Any]         =		A(x=1		,y='''foobar'''	)
					_a	:    Any         =		{'''x''': 1, '''y''': '''foobar'''}
					assert asdict(__a	) == expected_output

					_a	:    str         =		{'''a''': {'''b''': A(x=10		,y='''foo'''	)}, '''c''': [A(x=20		,y='''bar'''	)]}
					_a	:    Any         =		{'''a''': {'''b''': {'''x''': 10, '''y''': '''foo'''}}, '''c''': [{'''x''': 20, '''y''': '''bar'''}]}
					assert asdict(__a	) == expected_output

					with pytest.raises(__a	):
										asdict([1, A(x=10		,y='''foo'''	)]	)



def    __UpperCAmelCase (	__a      :			str	)			->     List[Any]:

					"""simple docstring"""

					return text.split()



def    __UpperCAmelCase (	__a      :			List[str]	)			->     Optional[Any]:

					"""simple docstring"""

					yield (time.time(), content)
					time.sleep(2	)
					yield (time.time(), content)







def    __UpperCAmelCase (	)			->     List[Any]:

					"""simple docstring"""

					with Pool(2	) as pool:
										_a	:    Optional[Any]         =		list(iflatmap_unordered(__a		,_split_text		,kwargs_iterable=[{'''text''': '''hello there'''}] * 10	)	)
										assert out.count('''hello'''	) == 10
										assert out.count('''there'''	) == 10
										assert len(__a	) == 20

					# check multiprocess from pathos (uses dill for pickling)
					with multiprocess.Pool(2	) as pool:
										_a	:    List[str]         =		list(iflatmap_unordered(__a		,_split_text		,kwargs_iterable=[{'''text''': '''hello there'''}] * 10	)	)
										assert out.count('''hello'''	) == 10
										assert out.count('''there'''	) == 10
										assert len(__a	) == 20

					# check that we get items as fast as possible
					with Pool(2	) as pool:
										_a	:    Tuple         =		[]
										for yield_time, content in iflatmap_unordered(
										    __a		,_aseconds_generator_of_aitems_with_timing		,kwargs_iterable=[{'''content''': '''a'''}, {'''content''': '''b'''}]	):
															assert yield_time < time.time() + 0.1, "we should each item directly after it was yielded"
															out.append(__a	)
										assert out.count('''a'''	) == 2
										assert out.count('''b'''	) == 2
										assert len(__a	) == 4






from collections.abc import Callable

class 				UpperCAmelCase_		:
							"""simple docstring"""







							def __init__(			self       ,							_a = None       )    ->    None:
												# Stores actual heap items.
												_a	:    list         =		[]
												# Stores indexes of each item for supporting updates and deletion.
												_a	:    dict         =		{}
												# Stores current size of heap.
												_a	:    Tuple         =		0
												# Stores function used to evaluate the score of an item on which basis ordering
												# will be done.
												_a	:    Dict         =		key or (lambda _a       : x)


							def 				__lowercase				(			self       ,							_a       )    ->    int | None:
												return int((i - 1) / 2       ) if i > 0 else None


							def 				__lowercase				(			self       ,							_a       )    ->    int | None:
												_a	:    Optional[int]         =		int(2 * i + 1       )
												return left if 0 < left < self.size else None


							def 				__lowercase				(			self       ,							_a       )    ->    int | None:
												_a	:    int         =		int(2 * i + 2       )
												return right if 0 < right < self.size else None


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    None:
												_a      ,					_a	:    Union[str, Any]         =		(
												    self.pos_map[self.arr[j][0]],
												    self.pos_map[self.arr[i][0]],
												)
												# Then swap the items in the list.
												_a      ,					_a	:    List[Any]         =		self.arr[j], self.arr[i]


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    bool:
												return self.arr[i][1] < self.arr[j][1]


							def 				__lowercase				(			self       ,							_a       )    ->    int:
												_a	:    Dict         =		self._left(_a       )
												_a	:    str         =		self._right(_a       )
												_a	:    str         =		i

												if left is not None and not self._cmp(_a       ,							_a       ):
																	_a	:    Optional[Any]         =		left
												if right is not None and not self._cmp(_a       ,							_a       ):
																	_a	:    Any         =		right

												return valid_parent


							def 				__lowercase				(			self       ,							_a       )    ->    None:
												_a	:    List[str]         =		self._parent(_a       )
												while parent is not None and not self._cmp(_a       ,							_a       ):
																	self._swap(_a       ,							_a       )
																	_a      ,					_a	:    Any         =		parent, self._parent(_a       )


							def 				__lowercase				(			self       ,							_a       )    ->    None:
												_a	:    List[Any]         =		self._get_valid_parent(_a       )
												while valid_parent != index:
																	self._swap(_a       ,							_a       )
																	_a      ,					_a	:    int         =		valid_parent, self._get_valid_parent(_a       )


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    None:
												if item not in self.pos_map:
																	return
												_a	:    str         =		self.pos_map[item]
												_a	:    List[Any]         =		[item, self.key(_a       )]
												# Make sure heap is right in both up and down direction.
												# Ideally only one of them will make any change.
												self._heapify_up(_a       )
												self._heapify_down(_a       )


							def 				__lowercase				(			self       ,							_a       )    ->    None:
												if item not in self.pos_map:
																	return
												_a	:    Tuple         =		self.pos_map[item]
												del self.pos_map[item]
												_a	:    Tuple         =		self.arr[self.size - 1]
												_a	:    str         =		index
												self.size -= 1
												# Make sure heap is right in both up and down direction. Ideally only one
												# of them will make any change- so no performance loss in calling both.
												if self.size > index:
																	self._heapify_up(_a       )
																	self._heapify_down(_a       )


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    None:
												_a	:    Union[str, Any]         =		len(self.arr       )
												if arr_len == self.size:
																	self.arr.append([item, self.key(_a       )]       )
												else:
																	_a	:    Optional[int]         =		[item, self.key(_a       )]
												_a	:    Tuple         =		self.size
												self.size += 1
												self._heapify_up(self.size - 1       )


							def 				__lowercase				(			self       )    ->    tuple | None:
												return self.arr[0] if self.size else None




							def 				__lowercase				(			self       )    ->    tuple | None:
												_a	:    Tuple         =		self.get_top()
												if top_item_tuple:
																	self.delete_item(top_item_tuple[0]       )
												return top_item_tuple



def    __UpperCAmelCase (	)			->     None:

					"""simple docstring"""



if __name__ == "__main__":
			import doctest

			doctest.testmod()



