






'''simple docstring'''




import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen
from ..table import array_cast
from ..utils.file_utils import is_local_path
from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
		import PIL.Image

		from .features import FeatureType


lowerCAmelCase__          =						None
lowerCAmelCase__          =						"<" if sys.byteorder == "little" else ">"
# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image
lowerCAmelCase__          =						[
    np.dtype('|b1'),
    np.dtype('|u1'),
    np.dtype('<u2'),
    np.dtype('>u2'),
    np.dtype('<i2'),
    np.dtype('>i2'),
    np.dtype('<u4'),
    np.dtype('>u4'),
    np.dtype('<i4'),
    np.dtype('>i4'),
    np.dtype('<f4'),
    np.dtype('>f4'),
    np.dtype('<f8'),
    np.dtype('>f8'),
]







@dataclass
class       __lowercase					:
	_lowerCamelCase              =  True
	_lowerCamelCase              =  None
	# Automatically constructed
	_lowerCamelCase              =  '''PIL.Image.Image'''
	_lowerCamelCase              =  pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}    )
	_lowerCamelCase              =  field(default='''Image'''   ,				init=_UpperCAmelCase   ,				repr=_UpperCAmelCase    )

	def __call__(      self   :						Optional[int]):
			return self.pa_type

	def      __UpperCamelCase							(      self   :						int  ,					UpperCAmelCase_   :						Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]):
			if config.PIL_AVAILABLE:
					import PIL.Image
			else:
					raise ImportError('To support encoding images, please install \'Pillow\'.')

			if isinstance(lowercase_  ,					lowercase_):
					UpperCamelCase__				:					str					=					np.array(lowercase_)

			if isinstance(lowercase_  ,					lowercase_):
					return {"path": value, "bytes": None}
			elif isinstance(lowercase_  ,					lowercase_):
					return {"path": None, "bytes": value}
			elif isinstance(lowercase_  ,					np.ndarray):
					# convert the image array to PNG/TIFF bytes
					return encode_np_array(lowercase_)
			elif isinstance(lowercase_  ,					PIL.Image.Image):
					# convert the PIL image to bytes (default format is PNG/TIFF)
					return encode_pil_image(lowercase_)
			elif value.get('path') is not None and os.path.isfile(value['path']):
					# we set "bytes": None to not duplicate the data if they're already available locally
					return {"bytes": None, "path": value.get('path')}
			elif value.get('bytes') is not None or value.get('path') is not None:
					# store the image bytes, and path is used to infer the image format using the file extension
					return {"bytes": value.get('bytes'), "path": value.get('path')}
			else:
					raise ValueError(
					    F'An image sample should have one of \'path\' or \'bytes\' but they are missing or None in {value}.')

	def      __UpperCamelCase							(      self   :						Any  ,					UpperCAmelCase_   :						dict  ,					UpperCAmelCase_   :						Any=None):
			if not self.decode:
					raise RuntimeError('Decoding is disabled for this feature. Please use Image(decode=True) instead.')

			if config.PIL_AVAILABLE:
					import PIL.Image
			else:
					raise ImportError('To support decoding images, please install \'Pillow\'.')

			if token_per_repo_id is None:
					UpperCamelCase__				:					Any					=					{}

			UpperCamelCase__				:					Optional[Any]					=					value["""path"""], value["""bytes"""]
			if bytes_ is None:
					if path is None:
							raise ValueError(F'An image should have one of \'path\' or \'bytes\' but both are None in {value}.')
					else:
							if is_local_path(lowercase_):
									UpperCamelCase__				:					List[str]					=					PIL.Image.open(lowercase_)
							else:
									UpperCamelCase__				:					Any					=					path.split('::')[-1]
									try:
											UpperCamelCase__				:					Optional[Any]					=					string_to_dict(lowercase_  ,					config.HUB_DATASETS_URL)["""repo_id"""]
											UpperCamelCase__				:					Tuple					=					token_per_repo_id.get(lowercase_)
									except ValueError:
											UpperCamelCase__				:					Tuple					=					None
									with xopen(lowercase_  ,					'rb'  ,					use_auth_token=lowercase_) as f:
											UpperCamelCase__				:					Any					=					BytesIO(f.read())
									UpperCamelCase__				:					str					=					PIL.Image.open(bytes_)
			else:
					UpperCamelCase__				:					Optional[int]					=					PIL.Image.open(BytesIO(bytes_))
			image.load()  # to avoid "Too many open files" errors
			return image

	def      __UpperCamelCase							(      self   :						Optional[Any]):
			from .features import Value

			return (
			    self
			    if self.decode
			    else {
			        "bytes": Value('binary'),
			        "path": Value('string'),
			    }
			)

	def      __UpperCamelCase							(      self   :						Any  ,					UpperCAmelCase_   :						Union[pa.StringArray, pa.StructArray, pa.ListArray]):
			if pa.types.is_string(storage.type):
					UpperCamelCase__				:					Any					=					pa.array([None] * len(lowercase_)  ,					type=pa.binary())
					UpperCamelCase__				:					Tuple					=					pa.StructArray.from_arrays([bytes_array, storage]  ,					['bytes', 'path']  ,					mask=storage.is_null())
			elif pa.types.is_binary(storage.type):
					UpperCamelCase__				:					Union[str, Any]					=					pa.array([None] * len(lowercase_)  ,					type=pa.string())
					UpperCamelCase__				:					List[Any]					=					pa.StructArray.from_arrays([storage, path_array]  ,					['bytes', 'path']  ,					mask=storage.is_null())
			elif pa.types.is_struct(storage.type):
					if storage.type.get_field_index('bytes') >= 0:
							UpperCamelCase__				:					List[str]					=					storage.field('bytes')
					else:
							UpperCamelCase__				:					str					=					pa.array([None] * len(lowercase_)  ,					type=pa.binary())
					if storage.type.get_field_index('path') >= 0:
							UpperCamelCase__				:					List[str]					=					storage.field('path')
					else:
							UpperCamelCase__				:					Tuple					=					pa.array([None] * len(lowercase_)  ,					type=pa.string())
					UpperCamelCase__				:					int					=					pa.StructArray.from_arrays([bytes_array, path_array]  ,					['bytes', 'path']  ,					mask=storage.is_null())
			elif pa.types.is_list(storage.type):
					UpperCamelCase__				:					List[Any]					=					pa.array(
					    [encode_np_array(np.array(lowercase_))['bytes'] if arr is not None else None for arr in storage.to_pylist()]  ,					type=pa.binary()  ,					)
					UpperCamelCase__				:					Dict					=					pa.array([None] * len(lowercase_)  ,					type=pa.string())
					UpperCamelCase__				:					Optional[Any]					=					pa.StructArray.from_arrays(
					    [bytes_array, path_array]  ,					['bytes', 'path']  ,					mask=bytes_array.is_null())
			return array_cast(lowercase_  ,					self.pa_type)





	def      __UpperCamelCase							(      self   :						List[Any]  ,					UpperCAmelCase_   :						pa.StructArray):

			@no_op_if_value_is_null
			def path_to_bytes(UpperCAmelCase_   :						Any):
					with xopen(lowercase_  ,					'rb') as f:
							UpperCamelCase__				:					Any					=					f.read()
					return bytes_

			UpperCamelCase__				:					Dict					=					pa.array(
			    [
			        (path_to_bytes(x['path']) if x['bytes'] is None else x['bytes']) if x is not None else None
			        for x in storage.to_pylist()
			    ]  ,					type=pa.binary()  ,					)
			UpperCamelCase__				:					int					=					pa.array(
			    [os.path.basename(lowercase_) if path is not None else None for path in storage.field('path').to_pylist()]  ,					type=pa.string()  ,					)
			UpperCamelCase__				:					List[str]					=					pa.StructArray.from_arrays([bytes_array, path_array]  ,					['bytes', 'path']  ,					mask=bytes_array.is_null())
			return array_cast(lowercase_  ,					self.pa_type)







def       __UpperCAmelCase						(  )							->     List[str]:
		if config.PIL_AVAILABLE:
				import PIL.Image
		else:
				raise ImportError('To support encoding images, please install \'Pillow\'.')

		global _IMAGE_COMPRESSION_FORMATS
		if _IMAGE_COMPRESSION_FORMATS is None:
				PIL.Image.init()
				UpperCamelCase__				:					Union[str, Any]					=					list(set(PIL.Image.OPEN.keys()) & set(PIL.Image.SAVE.keys()))
		return _IMAGE_COMPRESSION_FORMATS







def       __UpperCAmelCase						(  lowerCamelCase_)							->     bytes:
		UpperCamelCase__				:					List[str]					=					BytesIO()
		if image.format in list_image_compression_formats():
				UpperCamelCase__				:					int					=					image.format
		else:
				UpperCamelCase__				:					str					=					"""PNG""" if image.mode in ["""1""", """L""", """LA""", """RGB""", """RGBA"""] else """TIFF"""
		image.save(UpperCAmelCase__     ,      format=UpperCAmelCase__)
		return buffer.getvalue()







def       __UpperCAmelCase						(  lowerCamelCase_)							->     dict:
		if hasattr(UpperCAmelCase__     ,      'filename') and image.filename != "":
				return {"path": image.filename, "bytes": None}
		else:
				return {"path": None, "bytes": image_to_bytes(UpperCAmelCase__)}







def       __UpperCAmelCase						(  lowerCamelCase_)							->     dict:
		if config.PIL_AVAILABLE:
				import PIL.Image
		else:
				raise ImportError('To support encoding images, please install \'Pillow\'.')

		UpperCamelCase__				:					Dict					=					array.dtype
		UpperCamelCase__				:					Dict					=					dtype.byteorder if dtype.byteorder != """=""" else _NATIVE_BYTEORDER
		UpperCamelCase__				:					Any					=					dtype.kind
		UpperCamelCase__				:					Tuple					=					dtype.itemsize

		UpperCamelCase__				:					Any					=					None

		# Multi-channel array case (only np.dtype("|u1") is allowed)
		if array.shape[2:]:
				UpperCamelCase__				:					Dict					=					np.dtype('|u1')
				if dtype_kind not in ["u", "i"]:
						raise TypeError(
						    f'Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays.')
				if dtype is not dest_dtype:
						warnings.warn(f'Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'')
    # Exact match
		elif dtype in _VALID_IMAGE_ARRAY_DTPYES:
				UpperCamelCase__				:					List[Any]					=					dtype
		else:  # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually)
				while dtype_itemsize >= 1:
						UpperCamelCase__				:					int					=					dtype_byteorder + dtype_kind + str(UpperCAmelCase__)
						UpperCamelCase__				:					Union[str, Any]					=					np.dtype(UpperCAmelCase__)
						if dest_dtype in _VALID_IMAGE_ARRAY_DTPYES:
								warnings.warn(f'Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'')
								break
						else:
								dtype_itemsize //= 2

		if dest_dtype is None:
				raise TypeError(
				    f'Cannot convert dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}')
		UpperCamelCase__				:					Optional[Any]					=					PIL.Image.fromarray(array.astype(UpperCAmelCase__))
		return {"path": None, "bytes": image_to_bytes(UpperCAmelCase__)}







def       __UpperCAmelCase						(  lowerCamelCase_)							->     List[dict]:
		if config.PIL_AVAILABLE:
				import PIL.Image
		else:
				raise ImportError('To support encoding images, please install \'Pillow\'.')

		if objs:
				UpperCamelCase__				:					Union[str, Any]					=					first_non_null_value(UpperCAmelCase__)
				if isinstance(UpperCAmelCase__     ,      UpperCAmelCase__):
						return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs]
				if isinstance(UpperCAmelCase__     ,      np.ndarray):
						UpperCamelCase__				:					Union[str, Any]					=					no_op_if_value_is_null(UpperCAmelCase__)
						return [obj_to_image_dict_func(UpperCAmelCase__) for obj in objs]
				elif isinstance(UpperCAmelCase__     ,      PIL.Image.Image):
						UpperCamelCase__				:					List[str]					=					no_op_if_value_is_null(UpperCAmelCase__)
						return [obj_to_image_dict_func(UpperCAmelCase__) for obj in objs]
				else:
						return objs
		else:
				return objs







'''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()




