
"""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


UpperCAmelCase__          = None
UpperCAmelCase__          = '<' 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
UpperCAmelCase__          = [
    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       lowerCAmelCase__				:
     __a						=					True
     __a						=					None
     # Automatically constructed
     __a						=					"""PIL.Image.Image"""
     __a						=					pa.struct({"""bytes""": pa.binary(), """path""": pa.string()}	)
     __a						=					field(default="""Image""" ,	init=lowercase_ ,	repr=lowercase_	)







     def __call__(							self			:			Dict			):
       return self.pa_type







     def      lowercase	(							self			:			Optional[Any]    ,      _lowerCamelCase			:			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(__UpperCamelCase    ,      __UpperCamelCase			):
         _snake_case					     =       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      lowercase	(							self			:			Dict    ,      _lowerCamelCase			:			dict    ,      _lowerCamelCase			:			List[str]=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:
         _snake_case					     =       {}

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







     def      lowercase	(							self			:			Optional[int]			):
       from .features import Value

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







     def      lowercase	(							self			:			Optional[Any]    ,      _lowerCamelCase			:			Union[pa.StringArray, pa.StructArray, pa.ListArray]			):
       if pa.types.is_string(storage.type			):
         _snake_case					     =       pa.array([None] * len(__UpperCamelCase			)    ,      type=pa.binary()			)
         _snake_case					     =       pa.StructArray.from_arrays([bytes_array, storage]    ,      ['''bytes''', '''path''']    ,      mask=storage.is_null()			)
       elif pa.types.is_binary(storage.type			):
         _snake_case					     =       pa.array([None] * len(__UpperCamelCase			)    ,      type=pa.string()			)
         _snake_case					     =       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:
           _snake_case					     =       storage.field('''bytes'''			)
         else:
           _snake_case					     =       pa.array([None] * len(__UpperCamelCase			)    ,      type=pa.binary()			)
         if storage.type.get_field_index('''path'''			) >= 0:
           _snake_case					     =       storage.field('''path'''			)
         else:
           _snake_case					     =       pa.array([None] * len(__UpperCamelCase			)    ,      type=pa.string()			)
         _snake_case					     =       pa.StructArray.from_arrays([bytes_array, path_array]    ,      ['''bytes''', '''path''']    ,      mask=storage.is_null()			)
       elif pa.types.is_list(storage.type			):
         _snake_case					     =       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()    ,      )
         _snake_case					     =       pa.array([None] * len(__UpperCamelCase			)    ,      type=pa.string()			)
         _snake_case					     =       pa.StructArray.from_arrays(
             [bytes_array, path_array]    ,      ['''bytes''', '''path''']    ,      mask=bytes_array.is_null()			)
       return array_cast(__UpperCamelCase    ,      self.pa_type			)







     def      lowercase	(							self			:			str    ,      _lowerCamelCase			:			pa.StructArray			):

       @no_op_if_value_is_null
       def path_to_bytes(_lowerCamelCase			:			List[str]			):
         with xopen(__UpperCamelCase    ,      '''rb'''			) as f:
           _snake_case					     =       f.read()
         return bytes_

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






def 					_UpperCAmelCase      ( )     ->					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()
    _snake_case					     =       list(set(PIL.Image.OPEN.keys()		) & set(PIL.Image.SAVE.keys()		)		)
  return _IMAGE_COMPRESSION_FORMATS
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Any		)     ->					Union[str, Any]:
  _snake_case					     =       BytesIO()
  if image.format in list_image_compression_formats():
    _snake_case					     =       image.format
  else:
    _snake_case					     =       '''PNG''' if image.mode in ['''1''', '''L''', '''LA''', '''RGB''', '''RGBA'''] else '''TIFF'''
  image.save(__lowerCamelCase ,					format=__lowerCamelCase		)
  return buffer.getvalue()
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple		)     ->					Optional[int]:
  if hasattr(__lowerCamelCase ,					'''filename'''		) and image.filename != "":
    return {"path": image.filename, "bytes": None}
  else:
    return {"path": None, "bytes": image_to_bytes(__lowerCamelCase		)}
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Any		)     ->					List[Any]:
  if config.PIL_AVAILABLE:
    import PIL.Image
  else:
    raise ImportError('''To support encoding images, please install \'Pillow\'.'''		)

  _snake_case					     =       array.dtype
  _snake_case					     =       dtype.byteorder if dtype.byteorder != '''=''' else _NATIVE_BYTEORDER
  _snake_case					     =       dtype.kind
  _snake_case					     =       dtype.itemsize

  _snake_case					     =       None

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

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

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










"""simple docstring"""
import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_rjieba
@require_tokenizers
class 					_UpperCAmelCase   (	lowercase_     ,							unittest.TestCase ):
					UpperCamelCase      =							RoFormerTokenizer
					UpperCamelCase      =							RoFormerTokenizerFast
					UpperCamelCase      =							True
					UpperCamelCase      =							True


					def 	lowerCamelCase       (					self			:List[str]		):
												super().setUp()


					def 	lowerCamelCase       (					self			:int     ,       **__UpperCamelCase			:List[Any]		):
												return self.tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Tuple     ,       **__UpperCamelCase			:Optional[int]		):
												return self.rust_tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Any		):
												A		=  "永和服装饰品有限公司,今天天气非常好"
												A		=  "永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
												return input_text, output_text


					def 	lowerCamelCase       (					self			:int		):
												A		=  self.get_tokenizer()
												A,	A		=  self.get_chinese_input_output_texts()
												A		=  tokenizer.tokenize(__UpperCamelCase		)

												self.assertListEqual(__UpperCamelCase     ,       output_text.split()		)

												A		=  tokens + [tokenizer.unk_token]
												A		=  [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase		)     ,       __UpperCamelCase		)


					def 	lowerCamelCase       (					self			:str		):
												A		=  self.get_rust_tokenizer()
												A,	A		=  self.get_chinese_input_output_texts()
												A		=  tokenizer.tokenize(__UpperCamelCase		)
												self.assertListEqual(__UpperCamelCase     ,       output_text.split()		)
												A		=  tokens + [tokenizer.unk_token]
												A		=  [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase		)     ,       __UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Any		):
												pass


					def 	lowerCamelCase       (					self			:Tuple		):
												pass


					def 	lowerCamelCase       (					self			:List[str]		):
												pass


