





'''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


_SCREAMING_SNAKE_CASE							     =			None
_SCREAMING_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
_SCREAMING_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 			_lowerCAmelCase		:






     """simple docstring"""






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



     def __call__(   self							:			Optional[int]						)->	Tuple:
        return self.pa_type



     def      lowerCAmelCase			(   self							:			Any   ,       __snake_case							:			Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]						)->	dict:
        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 						=   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							:			Any   ,       __snake_case							:			dict   ,       __snake_case							:			Any=None						)->	"PIL.Image.Image":
        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(__snake_case						):
                 snake_case 						=   PIL.Image.open(__snake_case						)
              else:
                 snake_case 						=   path.split("""::"""						)[-1]
                 try:
                    snake_case 						=   string_to_dict(__snake_case   ,       config.HUB_DATASETS_URL						)["""repo_id"""]
                    snake_case 						=   token_per_repo_id.get(__snake_case						)
                 except ValueError:
                    snake_case 						=   None
                 with xopen(__snake_case   ,       """rb"""   ,       use_auth_token=__snake_case						) 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      lowerCAmelCase			(   self							:			Tuple						)->	Union["FeatureType", Dict[str, "FeatureType"]]:
        from .features import Value

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



     def      lowerCAmelCase			(   self							:			Union[str, Any]   ,       __snake_case							:			Union[pa.StringArray, pa.StructArray, pa.ListArray]						)->	pa.StructArray:
        if pa.types.is_string(storage.type						):
           snake_case 						=   pa.array([None] * len(__snake_case						)   ,       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(__snake_case						)   ,       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(__snake_case						)   ,       type=pa.binary()						)
           if storage.type.get_field_index("""path"""						) >= 0:
              snake_case 						=   storage.field("""path"""						)
           else:
              snake_case 						=   pa.array([None] * len(__snake_case						)   ,       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(__snake_case						)						)["""bytes"""] if arr is not None else None for arr in storage.to_pylist()]   ,       type=pa.binary()   ,       )
           snake_case 						=   pa.array([None] * len(__snake_case						)   ,       type=pa.string()						)
           snake_case 						=   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							:			Optional[int]   ,       __snake_case							:			pa.StructArray						)->	pa.StructArray:

        @no_op_if_value_is_null
        def path_to_bytes(__snake_case							:			Dict						):
           with xopen(__snake_case   ,       """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(__snake_case						) 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(__snake_case   ,       self.pa_type						)





def 	__lowerCamelCase			(      )		->  List[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 	__lowerCamelCase			(      __lowerCAmelCase       :							"PIL.Image.Image"		)		->  bytes:
   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 	__lowerCamelCase			(      __lowerCAmelCase       :							"PIL.Image.Image"		)		->  dict:
   if hasattr(__lowerCAmelCase      ,    """filename"""		) and image.filename != "":
      return {"path": image.filename, "bytes": None}
   else:
      return {"path": None, "bytes": image_to_bytes(__lowerCAmelCase		)}





def 	__lowerCamelCase			(      __lowerCAmelCase       :							np.ndarray		)		->  dict:
   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 	__lowerCamelCase			(      __lowerCAmelCase       :							Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]]		)		->  List[dict]:
   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 os
from collections.abc import Iterator





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "."		)		->  Iterator[str]:
   for dir_path, dir_names, filenames in os.walk(__lowerCAmelCase		):
      snake_case 						=   [d for d in dir_names if d != """scripts""" and d[0] not in """._"""]
      for filename in filenames:
         if filename == "__init__.py":
            continue
         if os.path.splitext(__lowerCAmelCase		)[1] in (".py", ".ipynb"):
            yield os.path.join(__lowerCAmelCase      ,    __lowerCAmelCase		).lstrip("""./"""		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							List[str]		)		->  Any:
   return F'''{i * "  "}*''' if i else "\n##"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							str		)		->  str:
   snake_case 						=   old_path.split(os.sep		)
   for i, new_part in enumerate(new_path.split(os.sep		)		):
      if (i + 1 > len(__lowerCAmelCase		) or old_parts[i] != new_part) and new_part:
         print(F'''{md_prefix(__lowerCAmelCase		)} {new_part.replace("_"      ,    " "		).title()}'''		)
   return new_path





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "."		)		->  None:
   snake_case 						=   """"""
   for filepath in sorted(good_file_paths(__lowerCAmelCase		)		):
      snake_case						,    snake_case 						=   os.path.split(__lowerCAmelCase		)
      if filepath != old_path:
         snake_case 						=   print_path(__lowerCAmelCase      ,    __lowerCAmelCase		)
      snake_case 						=   (filepath.count(os.sep		) + 1) if filepath else 0
      snake_case 						=   F'''{filepath}/{filename}'''.replace(""" """      ,    """%20"""		)
      snake_case 						=   os.path.splitext(filename.replace("""_"""      ,    """ """		).title()		)[0]
      print(F'''{md_prefix(__lowerCAmelCase		)} [{filename}]({url})'''		)


if __name__ == "__main__":
 print_directory_md(".")

