




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     :		Optional[List[str]]								=       None
_lowerCamelCase     :		int								=       """<""" 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     :		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     UpperCamelCase_   :

    '''simple docstring'''






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


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





           '''simple docstring'''

           return self.pa_type


    def 	SCREAMING_SNAKE_CASE							(      self				:     Union[str, Any] ,			UpperCAmelCase__				:     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(UpperCAmelCase__ ,			UpperCAmelCase__):
                  A__							=   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 	SCREAMING_SNAKE_CASE							(      self				:     Optional[Any] ,			UpperCAmelCase__				:     dict ,			UpperCAmelCase__				:     Tuple=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:
                  A__							=   {}

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


    def 	SCREAMING_SNAKE_CASE							(      self				:     Union[str, Any])						->Union["FeatureType", Dict[str, "FeatureType"]]:





           '''simple docstring'''

           from .features import Value

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


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str] ,			UpperCAmelCase__				:     Union[pa.StringArray, pa.StructArray, pa.ListArray])						->pa.StructArray:





           '''simple docstring'''

           if pa.types.is_string(storage.type):
                  A__							=   pa.array([None] * len(UpperCAmelCase__) ,			type=pa.binary())
                  A__							=   pa.StructArray.from_arrays([bytes_array, storage] ,			['''bytes''', '''path'''] ,			mask=storage.is_null())
           elif pa.types.is_binary(storage.type):
                  A__							=   pa.array([None] * len(UpperCAmelCase__) ,			type=pa.string())
                  A__							=   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:
                         A__							=   storage.field('''bytes''')
                  else:
                         A__							=   pa.array([None] * len(UpperCAmelCase__) ,			type=pa.binary())
                  if storage.type.get_field_index('''path''') >= 0:
                         A__							=   storage.field('''path''')
                  else:
                         A__							=   pa.array([None] * len(UpperCAmelCase__) ,			type=pa.string())
                  A__							=   pa.StructArray.from_arrays([bytes_array, path_array] ,			['''bytes''', '''path'''] ,			mask=storage.is_null())
           elif pa.types.is_list(storage.type):
                  A__							=   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() ,			)
                  A__							=   pa.array([None] * len(UpperCAmelCase__) ,			type=pa.string())
                  A__							=   pa.StructArray.from_arrays(
                      [bytes_array, path_array] ,			['''bytes''', '''path'''] ,			mask=bytes_array.is_null())
           return array_cast(UpperCAmelCase__ ,			self.pa_type)





    def 	SCREAMING_SNAKE_CASE							(      self				:     Tuple ,			UpperCAmelCase__				:     pa.StructArray)						->pa.StructArray:





           '''simple docstring'''

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

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







def SCREAMING_SNAKE_CASE    (	)       ->	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()
              A__							=   list(set(PIL.Image.OPEN.keys()						) & set(PIL.Image.SAVE.keys()						)						)
       return _IMAGE_COMPRESSION_FORMATS







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	bytes:



       """simple docstring"""

       A__							=   BytesIO()
       if image.format in list_image_compression_formats():
              A__							=   image.format
       else:
              A__							=   '''PNG''' if image.mode in ['''1''', '''L''', '''LA''', '''RGB''', '''RGBA'''] else '''TIFF'''
       image.save(lowercase_			,    format=lowercase_						)
       return buffer.getvalue()







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	dict:



       """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 SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	dict:



       """simple docstring"""

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

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

       A__							=   None

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







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	List[dict]:



       """simple docstring"""

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

       if objs:
              A__			,							A__							=   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						):
                     A__							=   no_op_if_value_is_null(lowercase_						)
                     return [obj_to_image_dict_func(lowercase_						) for obj in objs]
              elif isinstance(lowercase_			,    PIL.Image.Image						):
                     A__							=   no_op_if_value_is_null(lowercase_						)
                     return [obj_to_image_dict_func(lowercase_						) for obj in objs]
              else:
                     return objs
       else:
              return objs








from __future__ import annotations

from collections import Counter
from random import random


class     UpperCamelCase_   :

    '''simple docstring'''






    def __init__(      self				:     Any)						->Optional[Any]:





           '''simple docstring'''

           A__							=   {}


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int] ,			UpperCAmelCase__				:     str)						->None:





           '''simple docstring'''

           A__							=   {}


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str] ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     float)						->None:





           '''simple docstring'''

           if nodea not in self.connections:
                  self.add_node(UpperCAmelCase__)
           if nodea not in self.connections:
                  self.add_node(UpperCAmelCase__)
           A__							=   probability


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int])						->list[str]:





           '''simple docstring'''

           return list(self.connections)





    def 	SCREAMING_SNAKE_CASE							(      self				:     Any ,			UpperCAmelCase__				:     str)						->str:





           '''simple docstring'''

           A__							=   0
           A__							=   random()

           for dest in self.connections[node]:
                  current_probability += self.connections[node][dest]
                  if current_probability > random_value:
                         return dest
           return ""







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	dict[str, int]:



       """simple docstring"""

       A__							=   MarkovChainGraphUndirectedUnweighted()

       for nodea, nodea, probability in transitions:
              graph.add_transition_probability(lowercase_			,    lowercase_			,    lowercase_						)

       A__							=   Counter(graph.get_nodes()						)
       A__							=   start

       for _ in range(lowercase_						):
              A__							=   graph.transition(lowercase_						)
              visited[node] += 1

       return visited


if __name__ == "__main__":
  import doctest

  doctest.testmod()


