
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


_a      :			Optional[List[str]]					=							None
_a      :			Optional[Any]					=							"""<""" 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
_a      :			str					=							[
    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				:
    __lowercase							: bool  =					True
    __lowercase							: Optional[str]  =					None
    # Automatically constructed
    __lowercase							: ClassVar[str]  =					"PIL.Image.Image"
    __lowercase							: ClassVar[Any]  =					pa.struct({"""bytes""": pa.binary(), """path""": pa.string()})
    __lowercase							: str  =					field(default="""Image"""		,					init=_snake_case		,					repr=_snake_case)
    def __call__(    self     ):
      return self.pa_type
    def 					lowerCamelCase__	(    self						,    snake_case_     ):
      if config.PIL_AVAILABLE:
        import PIL.Image
      else:
        raise ImportError("To support encoding images, please install 'Pillow'."     )

      if isinstance(snake_case_						,    snake_case_     ):
        _snake_case     :						int						=   np.array(snake_case_     )

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

      _snake_case     :						int						=   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(snake_case_     ):
            _snake_case     :						Dict						=   PIL.Image.open(snake_case_     )
          else:
            _snake_case     :						List[str]						=   path.split("::"     )[-1]
            try:
              _snake_case     :						List[Any]						=   string_to_dict(snake_case_						,    config.HUB_DATASETS_URL     )["repo_id"]
              _snake_case     :						Union[str, Any]						=   token_per_repo_id.get(snake_case_     )
            except ValueError:
              _snake_case     :						str						=   None
            with xopen(snake_case_						,    "rb"						,    use_auth_token=snake_case_     ) as f:
              _snake_case     :						Tuple						=   BytesIO(f.read()     )
            _snake_case     :						Dict						=   PIL.Image.open(bytes_     )
      else:
        _snake_case     :						int						=   PIL.Image.open(BytesIO(bytes_     )     )
      image.load()  # to avoid "Too many open files" errors
      return image
    def 					lowerCamelCase__	(    self     ):
      from .features import Value

      return (
          self
          if self.decode
          else {
              "bytes": Value("binary"     ),
              "path": Value("string"     ),
          }
      )
    def 					lowerCamelCase__	(    self						,    snake_case_     ):
      if pa.types.is_string(storage.type     ):
        _snake_case     :						int						=   pa.array([None] * len(snake_case_     )						,    type=pa.binary()     )
        _snake_case     :						str						=   pa.StructArray.from_arrays([bytes_array, storage]						,    ["bytes", "path"]						,    mask=storage.is_null()     )
      elif pa.types.is_binary(storage.type     ):
        _snake_case     :						Dict						=   pa.array([None] * len(snake_case_     )						,    type=pa.string()     )
        _snake_case     :						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:
          _snake_case     :						Optional[int]						=   storage.field("bytes"     )
        else:
          _snake_case     :						str						=   pa.array([None] * len(snake_case_     )						,    type=pa.binary()     )
        if storage.type.get_field_index("path"     ) >= 0:
          _snake_case     :						Tuple						=   storage.field("path"     )
        else:
          _snake_case     :						str						=   pa.array([None] * len(snake_case_     )						,    type=pa.string()     )
        _snake_case     :						int						=   pa.StructArray.from_arrays([bytes_array, path_array]						,    ["bytes", "path"]						,    mask=storage.is_null()     )
      elif pa.types.is_list(storage.type     ):
        _snake_case     :						List[Any]						=   pa.array(
            [encode_np_array(np.array(snake_case_     )     )["bytes"] if arr is not None else None for arr in storage.to_pylist()]						,    type=pa.binary()						,    )
        _snake_case     :						int						=   pa.array([None] * len(snake_case_     )						,    type=pa.string()     )
        _snake_case     :						str						=   pa.StructArray.from_arrays(
            [bytes_array, path_array]						,    ["bytes", "path"]						,    mask=bytes_array.is_null()     )
      return array_cast(snake_case_						,    self.pa_type     )


    def 					lowerCamelCase__	(    self						,    snake_case_     ):

      @no_op_if_value_is_null
      def path_to_bytes(snake_case_     ):
        with xopen(snake_case_						,    "rb"     ) as f:
          _snake_case     :						Optional[Any]						=   f.read()
        return bytes_

      _snake_case     :						Optional[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()						,    )
      _snake_case     :						Tuple						=   pa.array(
          [os.path.basename(snake_case_     ) if path is not None else None for path in storage.field("path"     ).to_pylist()]						,    type=pa.string()						,    )
      _snake_case     :						Tuple						=   pa.StructArray.from_arrays([bytes_array, path_array]						,    ["bytes", "path"]						,    mask=bytes_array.is_null()     )
      return array_cast(snake_case_						,    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()
    _snake_case     :						Union[str, Any]						=   list(set(PIL.Image.OPEN.keys()		) & set(PIL.Image.SAVE.keys()		)		)
  return _IMAGE_COMPRESSION_FORMATS
def 				a__   (   a   :				"PIL.Image.Image"		):

  """simple docstring"""







  _snake_case     :						Dict						=   BytesIO()
  if image.format in list_image_compression_formats():
    _snake_case     :						Dict						=   image.format
  else:
    _snake_case     :						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   :				"PIL.Image.Image"		):

  """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   :				np.ndarray		):

  """simple docstring"""







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

  _snake_case     :						Tuple						=   array.dtype
  _snake_case     :						Optional[int]						=   dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
  _snake_case     :						Optional[Any]						=   dtype.kind
  _snake_case     :						Dict						=   dtype.itemsize

  _snake_case     :						Dict						=   None

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



def 				a__   (   a   :				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:
    _snake_case     :						Tuple						=   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		):
      _snake_case     :						str						=   no_op_if_value_is_null(a		)
      return [obj_to_image_dict_func(a		) for obj in objs]
    elif isinstance(a       ,     PIL.Image.Image		):
      _snake_case     :						Optional[Any]						=   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 unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)






class      _UpperCAmelCase				(					unittest.TestCase):
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						List[Any]						=   Vector([1, 2, 3]     )
      self.assertEqual(x.component(0     )						,    1     )
      self.assertEqual(x.component(2     )						,    3     )
      _snake_case     :						List[Any]						=   Vector()
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Any						=   Vector([0, 0, 0, 0, 0, 1]     )
      self.assertEqual(str(snake_case_     )						,    "(0,0,0,0,0,1)"     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Dict						=   Vector([1, 2, 3, 4]     )
      self.assertEqual(len(snake_case_     )						,    4     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						List[Any]						=   Vector([1, 2]     )
      _snake_case     :						List[str]						=   Vector([1, 2, 3, 4, 5]     )
      _snake_case     :						List[Any]						=   Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]     )
      _snake_case     :						Any						=   Vector([1, -1, 1, -1, 2, -3, 4, -5]     )
      self.assertAlmostEqual(x.euclidean_length()						,    2.236						,    3     )
      self.assertAlmostEqual(y.euclidean_length()						,    7.416						,    3     )
      self.assertEqual(z.euclidean_length()						,    0     )
      self.assertAlmostEqual(w.euclidean_length()						,    7.616						,    3     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						List[Any]						=   Vector([1, 2, 3]     )
      _snake_case     :						Any						=   Vector([1, 1, 1]     )
      self.assertEqual((x + y).component(0     )						,    2     )
      self.assertEqual((x + y).component(1     )						,    3     )
      self.assertEqual((x + y).component(2     )						,    4     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						str						=   Vector([1, 2, 3]     )
      _snake_case     :						Union[str, Any]						=   Vector([1, 1, 1]     )
      self.assertEqual((x - y).component(0     )						,    0     )
      self.assertEqual((x - y).component(1     )						,    1     )
      self.assertEqual((x - y).component(2     )						,    2     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Optional[int]						=   Vector([1, 2, 3]     )
      _snake_case     :						List[Any]						=   Vector([2, -1, 4]     )  # for test of dot product
      _snake_case     :						Union[str, Any]						=   Vector([1, -2, -1]     )
      self.assertEqual(str(x * 3.0     )						,    "(3.0,6.0,9.0)"     )
      self.assertEqual((a * b)						,    0     )
    def 					lowerCamelCase__	(    self     ):
      self.assertEqual(str(zero_vector(10     )     ).count("0"     )						,    10     )
    def 					lowerCamelCase__	(    self     ):
      self.assertEqual(str(unit_basis_vector(3						,    1     )     )						,    "(0,1,0)"     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Tuple						=   Vector([1, 2, 3]     )
      _snake_case     :						Optional[Any]						=   Vector([1, 0, 1]     )
      self.assertEqual(str(axpy(2						,    snake_case_						,    snake_case_     )     )						,    "(3,4,7)"     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Union[str, Any]						=   Vector([1, 0, 0, 0, 0, 0]     )
      _snake_case     :						Optional[int]						=   x.copy()
      self.assertEqual(str(snake_case_     )						,    str(snake_case_     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Dict						=   Vector([1, 0, 0]     )
      x.change_component(0						,    0     )
      x.change_component(1						,    1     )
      self.assertEqual(str(snake_case_     )						,    "(0,1,0)"     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						str						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      self.assertEqual("|1,2,3|\n|2,4,5|\n|6,7,8|\n"						,    str(snake_case_     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Dict						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      _snake_case     :						str						=   [[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
      for x in range(a.height()     ):
        for y in range(a.width()     ):
          self.assertEqual(minors[x][y]						,    a.minor(snake_case_						,    snake_case_     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Union[str, Any]						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      _snake_case     :						Optional[Any]						=   [[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
      for x in range(a.height()     ):
        for y in range(a.width()     ):
          self.assertEqual(cofactors[x][y]						,    a.cofactor(snake_case_						,    snake_case_     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						int						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      self.assertEqual(-5						,    a.determinant()     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						str						=   Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]						,    3						,    3     )
      _snake_case     :						List[str]						=   Vector([1, 2, 3]     )
      self.assertEqual("(14,32,50)"						,    str(a * x     )     )
      self.assertEqual("|2,4,6|\n|8,10,12|\n|14,16,18|\n"						,    str(a * 2     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Optional[int]						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      a.change_component(0						,    2						,    5     )
      self.assertEqual("|1,2,5|\n|2,4,5|\n|6,7,8|\n"						,    str(snake_case_     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						List[Any]						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      self.assertEqual(7						,    a.component(2						,    1     )						,    0.01     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Tuple						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      _snake_case     :						int						=   Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]						,    3						,    3     )
      self.assertEqual("|2,4,10|\n|4,8,10|\n|12,14,18|\n"						,    str(a + b     )     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						int						=   Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]						,    3						,    3     )
      _snake_case     :						Optional[Any]						=   Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]						,    3						,    3     )
      self.assertEqual("|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"						,    str(a - b     )     )


    def 					lowerCamelCase__	(    self     ):
      self.assertEqual(
          "|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n"						,    str(square_zero_matrix(5     )     )						,    )


if __name__ == "__main__":
    unittest.main()

