


'''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


__snake_case											=					None
__snake_case											=					'''<''' 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
__snake_case											=					[
    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     :

		"""simple docstring"""

		_a   			=    True
		_a   			=    None
		# Automatically constructed
		_a   			=    "PIL.Image.Image"
		_a   			=    pa.struct({'bytes': pa.binary(), 'path': pa.string()} )
		_a   			=    field(default='Image'     ,		init=A__     ,		repr=A__ )




		def __call__(		self							):

							'''simple docstring'''


							return self.pa_type




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


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

							if isinstance(UpperCamelCase_   ,       UpperCamelCase_							):
												UpperCamelCase__       :Union[str, Any]							 =			np.array(UpperCamelCase_							)

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

							'''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:
												UpperCamelCase__       :Any							 =			{}

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




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							from .features import Value

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




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


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




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


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

							UpperCamelCase__       :List[str]							 =			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(UpperCamelCase_							) 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(UpperCamelCase_   ,       self.pa_type							)



def       a				(      )  ->     List[str]:



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


def       a				(      __a       )  ->     bytes:



					'''simple docstring'''






					UpperCamelCase__       :List[str]							 =			BytesIO()
					if image.format in list_image_compression_formats():
										UpperCamelCase__       :Dict							 =			image.format
					else:
										UpperCamelCase__       :Optional[Any]							 =			'''PNG''' if image.mode in ['''1''', '''L''', '''LA''', '''RGB''', '''RGBA'''] else '''TIFF'''
					image.save(__a			, format=__a       )
					return buffer.getvalue()


def       a				(      __a       )  ->     dict:



					'''simple docstring'''






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


def       a				(      __a       )  ->     dict:



					'''simple docstring'''






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

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

					UpperCamelCase__       :Union[str, Any]							 =			None

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







def       a				(      __a       )  ->     List[dict]:



					'''simple docstring'''






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

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



'''simple docstring'''
import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case											=					logging.getLogger(__name__)
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    'masked_bert'




		def __init__(		self   ,       UpperCamelCase_=30522   ,       UpperCamelCase_=768   ,       UpperCamelCase_=12   ,       UpperCamelCase_=12   ,       UpperCamelCase_=3072   ,       UpperCamelCase_="gelu"   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=512   ,       UpperCamelCase_=2   ,       UpperCamelCase_=0.02   ,       UpperCamelCase_=1e-12   ,       UpperCamelCase_=0   ,       UpperCamelCase_="topK"   ,       UpperCamelCase_="constant"   ,       UpperCamelCase_=0.0   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_   ,       **UpperCamelCase_							)

							UpperCamelCase__       :Tuple							 =			vocab_size
							UpperCamelCase__       :Dict							 =			hidden_size
							UpperCamelCase__       :Optional[int]							 =			num_hidden_layers
							UpperCamelCase__       :Any							 =			num_attention_heads
							UpperCamelCase__       :Optional[Any]							 =			hidden_act
							UpperCamelCase__       :str							 =			intermediate_size
							UpperCamelCase__       :List[Any]							 =			hidden_dropout_prob
							UpperCamelCase__       :List[str]							 =			attention_probs_dropout_prob
							UpperCamelCase__       :List[Any]							 =			max_position_embeddings
							UpperCamelCase__       :int							 =			type_vocab_size
							UpperCamelCase__       :List[Any]							 =			initializer_range
							UpperCamelCase__       :Any							 =			layer_norm_eps
							UpperCamelCase__       :str							 =			pruning_method
							UpperCamelCase__       :int							 =			mask_init
							UpperCamelCase__       :Optional[Any]							 =			mask_scale