






'''simple docstring'''




import io
import json

import fsspec
import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_)							->     Tuple:
		assert isinstance(lowerCamelCase_     ,      lowerCamelCase_)
		assert dataset.num_rows == 4
		assert dataset.num_columns == 3
		assert dataset.column_names == ["col_1", "col_2", "col_3"]
		for feature, expected_dtype in expected_features.items():
				assert dataset.features[feature].dtype == expected_dtype







@pytest.mark.parametrize('keep_in_memory'     ,      [False, True])
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     int:
		UpperCamelCase__				:					List[str]					=					tmp_path / 'cache'
		UpperCamelCase__				:					Optional[int]					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
				UpperCamelCase__				:					Union[str, Any]					=					JsonDatasetReader(lowerCamelCase_     ,      cache_dir=lowerCamelCase_     ,      keep_in_memory=lowerCamelCase_).read()
		_check_json_dataset(lowerCamelCase_     ,      lowerCamelCase_)







@pytest.mark.parametrize(
    'features'     ,      [
        None,
        {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'},
        {'col_1': 'string', 'col_2': 'string', 'col_3': 'string'},
        {'col_1': 'int32', 'col_2': 'int32', 'col_3': 'int32'},
        {'col_1': 'float32', 'col_2': 'float32', 'col_3': 'float32'},
    ]     ,      )
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     int:
		UpperCamelCase__				:					Optional[int]					=					tmp_path / 'cache'
		UpperCamelCase__				:					Optional[int]					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		UpperCamelCase__				:					Optional[int]					=					features.copy() if features else default_expected_features
		UpperCamelCase__				:					Tuple					=					(
		    Features({feature: Value(lowerCamelCase_) for feature, dtype in features.items()}) if features is not None else None
		)
		UpperCamelCase__				:					Dict					=					JsonDatasetReader(lowerCamelCase_     ,      features=lowerCamelCase_     ,      cache_dir=lowerCamelCase_).read()
		_check_json_dataset(lowerCamelCase_     ,      lowerCamelCase_)







@pytest.mark.parametrize(
    'features'     ,      [
        None,
        {'col_3': 'float64', 'col_1': 'string', 'col_2': 'int64'},
    ]     ,      )
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Dict:
		UpperCamelCase__				:					int					=					tmp_path / 'cache'
		UpperCamelCase__				:					str					=					{'col_3': 'float64', 'col_1': 'string', 'col_2': 'int64'}
		UpperCamelCase__				:					Any					=					features.copy() if features else default_expected_features
		UpperCamelCase__				:					Optional[int]					=					(
		    Features({feature: Value(lowerCamelCase_) for feature, dtype in features.items()}) if features is not None else None
		)
		UpperCamelCase__				:					Dict					=					JsonDatasetReader(lowerCamelCase_     ,      features=lowerCamelCase_     ,      cache_dir=lowerCamelCase_).read()
		assert isinstance(lowerCamelCase_     ,      lowerCamelCase_)
		assert dataset.num_rows == 2
		assert dataset.num_columns == 3
		assert dataset.column_names == ["col_3", "col_1", "col_2"]
		for feature, expected_dtype in expected_features.items():
				assert dataset.features[feature].dtype == expected_dtype







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_)							->     int:
		# jsonl_312_path features are {"col_3": "float64", "col_1": "string", "col_2": "int64"}
		UpperCamelCase__				:					Optional[Any]					=					{'col_2': 'int64', 'col_3': 'float64', 'col_1': 'string'}
		UpperCamelCase__				:					Union[str, Any]					=					features.copy()
		UpperCamelCase__				:					Union[str, Any]					=					(
		    Features({feature: Value(lowerCamelCase_) for feature, dtype in features.items()}) if features is not None else None
		)
		UpperCamelCase__				:					str					=					tmp_path / 'cache'
		UpperCamelCase__				:					Optional[int]					=					JsonDatasetReader(lowerCamelCase_     ,      features=lowerCamelCase_     ,      cache_dir=lowerCamelCase_).read()
		assert isinstance(lowerCamelCase_     ,      lowerCamelCase_)
		assert dataset.num_rows == 2
		assert dataset.num_columns == 3
		assert dataset.column_names == ["col_2", "col_3", "col_1"]
		for feature, expected_dtype in expected_features.items():
				assert dataset.features[feature].dtype == expected_dtype







@pytest.mark.parametrize('split'     ,      [None, NamedSplit('train'), 'train', 'test'])
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Any:
		UpperCamelCase__				:					int					=					tmp_path / 'cache'
		UpperCamelCase__				:					Optional[Any]					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		UpperCamelCase__				:					Optional[Any]					=					JsonDatasetReader(lowerCamelCase_     ,      cache_dir=lowerCamelCase_     ,      split=lowerCamelCase_).read()
		_check_json_dataset(lowerCamelCase_     ,      lowerCamelCase_)
		assert dataset.split == split if split else "train"







@pytest.mark.parametrize('path_type'     ,      [str, list])
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Any:
		if issubclass(lowerCamelCase_     ,      lowerCamelCase_):
				UpperCamelCase__				:					Optional[Any]					=					jsonl_path
		elif issubclass(lowerCamelCase_     ,      lowerCamelCase_):
				UpperCamelCase__				:					Tuple					=					[jsonl_path]
		UpperCamelCase__				:					Tuple					=					tmp_path / 'cache'
		UpperCamelCase__				:					List[Any]					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		UpperCamelCase__				:					Optional[Any]					=					JsonDatasetReader(lowerCamelCase_     ,      cache_dir=lowerCamelCase_).read()
		_check_json_dataset(lowerCamelCase_     ,      lowerCamelCase_)







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_=("train",))							->     Optional[int]:
		assert isinstance(lowerCamelCase_     ,      lowerCamelCase_)
		for split in splits:
				UpperCamelCase__				:					Tuple					=					dataset_dict[split]
				assert dataset.num_rows == 4
				assert dataset.num_columns == 3
				assert dataset.column_names == ["col_1", "col_2", "col_3"]
				for feature, expected_dtype in expected_features.items():
						assert dataset.features[feature].dtype == expected_dtype







@pytest.mark.parametrize('keep_in_memory'     ,      [False, True])
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     int:
		UpperCamelCase__				:					List[Any]					=					tmp_path / 'cache'
		UpperCamelCase__				:					Union[str, Any]					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
				UpperCamelCase__				:					Optional[Any]					=					JsonDatasetReader({'train': jsonl_path}     ,      cache_dir=lowerCamelCase_     ,      keep_in_memory=lowerCamelCase_).read()
		_check_json_datasetdict(lowerCamelCase_     ,      lowerCamelCase_)







@pytest.mark.parametrize(
    'features'     ,      [
        None,
        {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'},
        {'col_1': 'string', 'col_2': 'string', 'col_3': 'string'},
        {'col_1': 'int32', 'col_2': 'int32', 'col_3': 'int32'},
        {'col_1': 'float32', 'col_2': 'float32', 'col_3': 'float32'},
    ]     ,      )
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Union[str, Any]:
		UpperCamelCase__				:					List[str]					=					tmp_path / 'cache'
		UpperCamelCase__				:					List[str]					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		UpperCamelCase__				:					Optional[Any]					=					features.copy() if features else default_expected_features
		UpperCamelCase__				:					List[str]					=					(
		    Features({feature: Value(lowerCamelCase_) for feature, dtype in features.items()}) if features is not None else None
		)
		UpperCamelCase__				:					str					=					JsonDatasetReader({'train': jsonl_path}     ,      features=lowerCamelCase_     ,      cache_dir=lowerCamelCase_).read()
		_check_json_datasetdict(lowerCamelCase_     ,      lowerCamelCase_)







@pytest.mark.parametrize('split'     ,      [None, NamedSplit('train'), 'train', 'test'])
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     int:
		if split:
				UpperCamelCase__				:					Tuple					=					{split: jsonl_path}
		else:
				UpperCamelCase__				:					int					=					'train'
				UpperCamelCase__				:					List[str]					=					{'train': jsonl_path, 'test': jsonl_path}
		UpperCamelCase__				:					Tuple					=					tmp_path / 'cache'
		UpperCamelCase__				:					Any					=					{'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
		UpperCamelCase__				:					int					=					JsonDatasetReader(lowerCamelCase_     ,      cache_dir=lowerCamelCase_).read()
		_check_json_datasetdict(lowerCamelCase_     ,      lowerCamelCase_     ,      splits=list(path.keys()))
		assert all(dataset[split].split == split for split in path.keys())







def       __UpperCAmelCase						(  lowerCamelCase_)							->     List[Any]:
		return json.load(lowerCamelCase_)







def       __UpperCAmelCase						(  lowerCamelCase_)							->     Optional[int]:
		return [json.loads(lowerCamelCase_) for line in buffer]







class       __lowercase					:

	@pytest.mark.parametrize('lines, load_json_function'  ,					[(True, load_json_lines), (False, load_json)])
	def      __UpperCamelCase							(      self   :						str  ,					UpperCAmelCase_   :						Optional[int]  ,					UpperCAmelCase_   :						Dict  ,					UpperCAmelCase_   :						List[Any]):
			with io.BytesIO() as buffer:
					JsonDatasetWriter(UpperCAmelCase_  ,					UpperCAmelCase_  ,					lines=UpperCAmelCase_).write()
					buffer.seek(0)
					UpperCamelCase__				:					Optional[Any]					=					load_json_function(UpperCAmelCase_)
			assert isinstance(UpperCAmelCase_  ,					UpperCAmelCase_)
			assert isinstance(exported_content[0]  ,					UpperCAmelCase_)
			assert len(UpperCAmelCase_) == 10

	@pytest.mark.parametrize(
	    'orient, container, keys, len_at'  ,					[
	        ('records', list, {'tokens', 'labels', 'answers', 'id'}, None),
	        ('split', dict, {'columns', 'data'}, 'data'),
	        ('index', dict, set('0123456789'), None),
	        ('columns', dict, {'tokens', 'labels', 'answers', 'id'}, 'tokens'),
	        ('values', list, None, None),
	        ('table', dict, {'schema', 'data'}, 'data'),
	    ]  ,					)
	def      __UpperCamelCase							(      self   :						Dict  ,					UpperCAmelCase_   :						Dict  ,					UpperCAmelCase_   :						Tuple  ,					UpperCAmelCase_   :						Union[str, Any]  ,					UpperCAmelCase_   :						Optional[Any]  ,					UpperCAmelCase_   :						Union[str, Any]):
			with io.BytesIO() as buffer:
					JsonDatasetWriter(UpperCAmelCase_  ,					UpperCAmelCase_  ,					lines=UpperCAmelCase_  ,					orient=UpperCAmelCase_).write()
					buffer.seek(0)
					UpperCamelCase__				:					Optional[int]					=					load_json(UpperCAmelCase_)
			assert isinstance(UpperCAmelCase_  ,					UpperCAmelCase_)
			if keys:
					if container is dict:
							assert exported_content.keys() == keys
					else:
							assert exported_content[0].keys() == keys
			else:
					assert not hasattr(UpperCAmelCase_  ,					'keys') and not hasattr(exported_content[0]  ,					'keys')
			if len_at:
					assert len(exported_content[len_at]) == 10
			else:
					assert len(UpperCAmelCase_) == 10

	@pytest.mark.parametrize('lines, load_json_function'  ,					[(True, load_json_lines), (False, load_json)])
	def      __UpperCamelCase							(      self   :						Any  ,					UpperCAmelCase_   :						Union[str, Any]  ,					UpperCAmelCase_   :						Optional[int]  ,					UpperCAmelCase_   :						str):
			with io.BytesIO() as buffer:
					JsonDatasetWriter(UpperCAmelCase_  ,					UpperCAmelCase_  ,					lines=UpperCAmelCase_  ,					num_proc=2).write()
					buffer.seek(0)
					UpperCamelCase__				:					str					=					load_json_function(UpperCAmelCase_)
			assert isinstance(UpperCAmelCase_  ,					UpperCAmelCase_)
			assert isinstance(exported_content[0]  ,					UpperCAmelCase_)
			assert len(UpperCAmelCase_) == 10

	@pytest.mark.parametrize(
	    'orient, container, keys, len_at'  ,					[
	        ('records', list, {'tokens', 'labels', 'answers', 'id'}, None),
	        ('split', dict, {'columns', 'data'}, 'data'),
	        ('index', dict, set('0123456789'), None),
	        ('columns', dict, {'tokens', 'labels', 'answers', 'id'}, 'tokens'),
	        ('values', list, None, None),
	        ('table', dict, {'schema', 'data'}, 'data'),
	    ]  ,					)
	def      __UpperCamelCase							(      self   :						Dict  ,					UpperCAmelCase_   :						str  ,					UpperCAmelCase_   :						int  ,					UpperCAmelCase_   :						List[Any]  ,					UpperCAmelCase_   :						List[Any]  ,					UpperCAmelCase_   :						str):
			with io.BytesIO() as buffer:
					JsonDatasetWriter(UpperCAmelCase_  ,					UpperCAmelCase_  ,					lines=UpperCAmelCase_  ,					orient=UpperCAmelCase_  ,					num_proc=2).write()
					buffer.seek(0)
					UpperCamelCase__				:					Union[str, Any]					=					load_json(UpperCAmelCase_)
			assert isinstance(UpperCAmelCase_  ,					UpperCAmelCase_)
			if keys:
					if container is dict:
							assert exported_content.keys() == keys
					else:
							assert exported_content[0].keys() == keys
			else:
					assert not hasattr(UpperCAmelCase_  ,					'keys') and not hasattr(exported_content[0]  ,					'keys')
			if len_at:
					assert len(exported_content[len_at]) == 10
			else:
					assert len(UpperCAmelCase_) == 10

	def      __UpperCamelCase							(      self   :						Optional[int]  ,					UpperCAmelCase_   :						Optional[int]):
			with pytest.raises(UpperCAmelCase_):
					with io.BytesIO() as buffer:
							JsonDatasetWriter(UpperCAmelCase_  ,					UpperCAmelCase_  ,					num_proc=0)





	@pytest.mark.parametrize('compression, extension'  ,					[('gzip', 'gz'), ('bz2', 'bz2'), ('xz', 'xz')])
	def      __UpperCamelCase							(      self   :						Dict  ,					UpperCAmelCase_   :						List[str]  ,					UpperCAmelCase_   :						Dict  ,					UpperCAmelCase_   :						int  ,					UpperCAmelCase_   :						Dict  ,					UpperCAmelCase_   :						Any):
			UpperCamelCase__				:					int					=					tmp_path_factory.mktemp('data') / F'test.json.{extension}'
			UpperCamelCase__				:					Dict					=					str(shared_datadir / F'test_file.json.{extension}')
			JsonDatasetWriter(UpperCAmelCase_  ,					UpperCAmelCase_  ,					compression=UpperCAmelCase_).write()

			with fsspec.open(UpperCAmelCase_  ,					'rb'  ,					compression='infer') as f:
					UpperCamelCase__				:					Optional[int]					=					f.read()
			with fsspec.open(UpperCAmelCase_  ,					'rb'  ,					compression='infer') as f:
					UpperCamelCase__				:					int					=					f.read()
			assert exported_content == original_content












'''simple docstring'''




class       __lowercase					:

	def __init__(      self   :						List[str]  ,					UpperCAmelCase_   :						str = ""  ,					UpperCAmelCase_   :						bool = False):
			# Mapping from the first character of the prefix of the node
			UpperCamelCase__				:					dict[str, RadixNode]					=					{}

			# A node will be a leaf if the tree contains its word
			UpperCamelCase__				:					List[Any]					=					is_leaf

			UpperCamelCase__				:					Optional[Any]					=					prefix

	def      __UpperCamelCase							(      self   :						List[Any]  ,					UpperCAmelCase_   :						str):
			UpperCamelCase__				:					Optional[int]					=					0
			for q, w in zip(self.prefix  ,					UpperCAmelCase_):
					if q != w:
							break

					x += 1

			return self.prefix[:x], self.prefix[x:], word[x:]

	def      __UpperCamelCase							(      self   :						str  ,					UpperCAmelCase_   :						list[str]):
			for word in words:
					self.insert(UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						Optional[int]  ,					UpperCAmelCase_   :						str):
			# Case 1: If the word is the prefix of the node
			# Solution: We set the current node as leaf
			if self.prefix == word:
					UpperCamelCase__				:					Optional[Any]					=					True

			# Case 2: The node has no edges that have a prefix to the word
			# Solution: We create an edge from the current node to a new one
			# containing the word
			elif word[0] not in self.nodes:
					UpperCamelCase__				:					Optional[Any]					=					RadixNode(prefix=UpperCAmelCase_  ,					is_leaf=UpperCAmelCase_)

			else:
					UpperCamelCase__				:					int					=					self.nodes[word[0]]
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					List[Any]					=					incoming_node.match(
					    UpperCAmelCase_)

					# Case 3: The node prefix is equal to the matching
					# Solution: We insert remaining word on the next node
					if remaining_prefix == "":
							self.nodes[matching_string[0]].insert(UpperCAmelCase_)

					# Case 4: The word is greater equal to the matching
					# Solution: Create a node in between both nodes, change
					# prefixes and add the new node for the remaining word
					else:
							UpperCamelCase__				:					Tuple					=					remaining_prefix

							UpperCamelCase__				:					str					=					self.nodes[matching_string[0]]
							UpperCamelCase__				:					Optional[Any]					=					RadixNode(UpperCAmelCase_  ,					UpperCAmelCase_)
							UpperCamelCase__				:					str					=					aux_node

							if remaining_word == "":
									UpperCamelCase__				:					int					=					True
							else:
									self.nodes[matching_string[0]].insert(UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						Union[str, Any]  ,					UpperCAmelCase_   :						str):
			UpperCamelCase__				:					Optional[Any]					=					self.nodes.get(word[0]  ,					UpperCAmelCase_)
			if not incoming_node:
					return False
			else:
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					int					=					incoming_node.match(
					    UpperCAmelCase_)
					# If there is remaining prefix, the word can't be on the tree
					if remaining_prefix != "":
							return False
					# This applies when the word and the prefix are equal
					elif remaining_word == "":
							return incoming_node.is_leaf
					# We have word remaining so we check the next node
					else:
							return incoming_node.find(UpperCAmelCase_)

	def      __UpperCamelCase							(      self   :						str  ,					UpperCAmelCase_   :						str):
			UpperCamelCase__				:					Optional[int]					=					self.nodes.get(word[0]  ,					UpperCAmelCase_)
			if not incoming_node:
					return False
			else:
					UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__				:					Union[str, Any]					=					incoming_node.match(
					    UpperCAmelCase_)
					# If there is remaining prefix, the word can't be on the tree
					if remaining_prefix != "":
							return False
					# We have word remaining so we check the next node
					elif remaining_word != "":
							return incoming_node.delete(UpperCAmelCase_)
					else:
							# If it is not a leaf, we don't have to delete
							if not incoming_node.is_leaf:
									return False
							else:
									# We delete the nodes if no edges go from it
									if len(incoming_node.nodes) == 0:
											del self.nodes[word[0]]
											# We merge the current node with its only child
											if len(self.nodes) == 1 and not self.is_leaf:
													UpperCamelCase__				:					List[str]					=					list(self.nodes.values())[0]
													UpperCamelCase__				:					Tuple					=					merging_node.is_leaf
													self.prefix += merging_node.prefix
													UpperCamelCase__				:					Tuple					=					merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
									elif len(incoming_node.nodes) > 1:
											UpperCamelCase__				:					str					=					False
									# If there is 1 edge, we merge it with its child
									else:
											UpperCamelCase__				:					List[Any]					=					list(incoming_node.nodes.values())[0]
											UpperCamelCase__				:					Optional[Any]					=					merging_node.is_leaf
											incoming_node.prefix += merging_node.prefix
											UpperCamelCase__				:					Union[str, Any]					=					merging_node.nodes

									return True





	def      __UpperCamelCase							(      self   :						str  ,					UpperCAmelCase_   :						int = 0):
			if self.prefix != "":
					print('-' * height  ,					self.prefix  ,					'  (leaf)' if self.is_leaf else '')

			for value in self.nodes.values():
					value.print_tree(height + 1)







def       __UpperCAmelCase						(  )							->     bool:
		UpperCamelCase__				:					Union[str, Any]					=					'banana bananas bandana band apple all beast'.split()
		UpperCamelCase__				:					List[Any]					=					RadixNode()
		root.insert_many(lowerCamelCase_)

		assert all(root.find(lowerCamelCase_) for word in words)
		assert not root.find('bandanas')
		assert not root.find('apps')
		root.delete('all')
		assert not root.find('all')
		root.delete('banana')
		assert not root.find('banana')
		assert root.find('bananas')

		return True







def       __UpperCAmelCase						(  )							->     None:
		assert test_trie()







def       __UpperCAmelCase						(  )							->     None:
		UpperCamelCase__				:					List[Any]					=					RadixNode()
		UpperCamelCase__				:					List[str]					=					'banana bananas bandanas bandana band apple all beast'.split()
		root.insert_many(lowerCamelCase_)

		print('Words:'     ,      lowerCamelCase_)
		print('Tree:')
		root.print_tree()


if __name__ == "__main__":
		main()




