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


SCREAMING_SNAKE_CASE__		:					Optional[List[str]]						=					None
SCREAMING_SNAKE_CASE__		:					Dict						=					"<" 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
SCREAMING_SNAKE_CASE__		:					Dict						=					[
    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       snake_case					:
		lowercase_			=     True
		lowercase_			=     None
		# Automatically constructed
		lowercase_			=     'PIL.Image.Image'
		lowercase_			=     pa.struct({'bytes': pa.binary(), 'path': pa.string()}						)
		lowercase_			=     field(default='Image'   ,						init=UpperCamelCase_   ,						repr=UpperCamelCase_						)




		def __call__(      self     :	Optional[int]				)->       List[str]:




							"""simple docstring"""
							return self.pa_type




		def 	__lowercase(      self     :	Tuple     , a_     :	Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]				)->       dict:




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

							if isinstance(a_     , a_				):
												SCREAMING_SNAKE_CASE__				:				Any			=		np.array(a_				)

							if isinstance(a_     , a_				):
												return {"path": value, "bytes": None}
							elif isinstance(a_     , a_				):
												return {"path": None, "bytes": value}
							elif isinstance(a_     , np.ndarray				):
												# convert the image array to PNG/TIFF bytes
												return encode_np_array(a_				)
							elif isinstance(a_     , PIL.Image.Image				):
												# convert the PIL image to bytes (default format is PNG/TIFF)
												return encode_pil_image(a_				)
							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 	__lowercase(      self     :	str     , a_     :	dict     , a_     :	Dict=None				)->       "PIL.Image.Image":




							"""simple docstring"""
							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:
												SCREAMING_SNAKE_CASE__				:				Any			=		{}

							SCREAMING_SNAKE_CASE__				:				Tuple			=		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(a_				):
																						SCREAMING_SNAKE_CASE__				:				List[Any]			=		PIL.Image.open(a_				)
																	else:
																						SCREAMING_SNAKE_CASE__				:				int			=		path.split('::'				)[-1]
																						try:
																											SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		string_to_dict(a_     , config.HUB_DATASETS_URL				)['repo_id']
																											SCREAMING_SNAKE_CASE__				:				int			=		token_per_repo_id.get(a_				)
																						except ValueError:
																											SCREAMING_SNAKE_CASE__				:				str			=		None
																						with xopen(a_     , 'rb'     , use_auth_token=a_				) as f:
																											SCREAMING_SNAKE_CASE__				:				Optional[int]			=		BytesIO(f.read()				)
																						SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		PIL.Image.open(bytes_				)
							else:
												SCREAMING_SNAKE_CASE__				:				List[Any]			=		PIL.Image.open(BytesIO(bytes_				)				)
							image.load()  # to avoid "Too many open files" errors
							return image




		def 	__lowercase(      self     :	Tuple				)->       Union["FeatureType", Dict[str, "FeatureType"]]:




							"""simple docstring"""
							from .features import Value

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




		def 	__lowercase(      self     :	Optional[int]     , a_     :	Union[pa.StringArray, pa.StructArray, pa.ListArray]				)->       pa.StructArray:




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




		def 	__lowercase(      self     :	Any     , a_     :	pa.StructArray				)->       pa.StructArray:




							"""simple docstring"""

							@no_op_if_value_is_null
							def path_to_bytes(a_     :	Any				):
												with xopen(a_     , 'rb'				) as f:
																	SCREAMING_SNAKE_CASE__				:				Tuple			=		f.read()
												return bytes_

							SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		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()     , )
							SCREAMING_SNAKE_CASE__				:				List[Any]			=		pa.array(
							    [os.path.basename(a_				) if path is not None else None for path in storage.field('path'				).to_pylist()]     , type=pa.string()     , )
							SCREAMING_SNAKE_CASE__				:				List[str]			=		pa.StructArray.from_arrays([bytes_array, path_array]     , ['bytes', 'path']     , mask=bytes_array.is_null()				)
							return array_cast(a_     , self.pa_type				)







def     _a				(      ):







					'''simple docstring'''


					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()
										SCREAMING_SNAKE_CASE__				:				Any			=		list(set(PIL.Image.OPEN.keys() ) & set(PIL.Image.SAVE.keys() ) )
					return _IMAGE_COMPRESSION_FORMATS







def     _a				(      lowercase__  :			"PIL.Image.Image" ):







					'''simple docstring'''


					SCREAMING_SNAKE_CASE__				:				int			=		BytesIO()
					if image.format in list_image_compression_formats():
										SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		image.format
					else:
										SCREAMING_SNAKE_CASE__				:				str			=		'PNG' if image.mode in ['1', 'L', 'LA', 'RGB', 'RGBA'] else 'TIFF'
					image.save(lowercase__     ,  format=lowercase__ )
					return buffer.getvalue()







def     _a				(      lowercase__  :			"PIL.Image.Image" ):







					'''simple docstring'''


					if hasattr(lowercase__     ,  'filename' ) and image.filename != "":
										return {"path": image.filename, "bytes": None}
					else:
										return {"path": None, "bytes": image_to_bytes(lowercase__ )}







def     _a				(      lowercase__  :			np.ndarray ):







					'''simple docstring'''


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

					SCREAMING_SNAKE_CASE__				:				str			=		array.dtype
					SCREAMING_SNAKE_CASE__				:				List[Any]			=		dtype.byteorder if dtype.byteorder != '=' else _NATIVE_BYTEORDER
					SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		dtype.kind
					SCREAMING_SNAKE_CASE__				:				List[str]			=		dtype.itemsize

					SCREAMING_SNAKE_CASE__				:				Optional[int]			=		None

					# Multi-channel array case (only np.dtype("|u1") is allowed)
					if array.shape[2:]:
										SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		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:
										SCREAMING_SNAKE_CASE__				:				Tuple			=		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:
															SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		dtype_byteorder + dtype_kind + str(lowercase__ )
															SCREAMING_SNAKE_CASE__				:				List[Any]			=		np.dtype(lowercase__ )
															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}''' )
					SCREAMING_SNAKE_CASE__				:				List[str]			=		PIL.Image.fromarray(array.astype(lowercase__ ) )
					return {"path": None, "bytes": image_to_bytes(lowercase__ )}







def     _a				(      lowercase__  :			Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]] ):







					'''simple docstring'''


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

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




def     _a				(      lowercase__  :			Optional[int] ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[]
     SCREAMING_SNAKE_CASE__				:				List[Any]			=		set({'(', '[', '{'} )
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		set({')', ']', '}'} )
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		{'{': '}', '[': ']', '(': ')'}

     for i in range(len(lowercase__ ) ):
          if s[i] in open_brackets:
               stack.append(s[i] )

          elif s[i] in closed_brackets and (
              len(lowercase__ ) == 0 or (len(lowercase__ ) > 0 and open_to_closed[stack.pop()] != s[i])
          ):
               return False

     return len(lowercase__ ) == 0







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Tuple			=		input('Enter sequence of brackets: ' )
     if is_balanced(lowercase__ ):
          print(lowercase__     ,  'is balanced' )
     else:
          print(lowercase__     ,  'is not balanced' )


if __name__ == "__main__":
      main()



