
"""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


lowerCamelCase__        =		None
lowerCamelCase__        =		'<' 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__        =		[
    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 			A__	:
  A_						:	Any           =     True
  A_						:	Optional[int]           =     None
  # Automatically constructed
  A_						:	Any           =     'PIL.Image.Image'
  A_						:	Dict           =     pa.struct({'bytes': pa.binary(), 'path': pa.string()})
  A_						:	Union[str, Any]           =     field(default='Image'	,					init=_A	,					repr=_A)

  def __call__(				self			):
   return self.pa_type

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

   if isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE			):
    __lowerCAmelCase      :						Dict						      =				np.array(__SCREAMING_SNAKE_CASE			)

   if isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE			):
    return {"path": value, "bytes": None}
   elif isinstance(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE			):
    return {"path": None, "bytes": value}
   elif isinstance(__SCREAMING_SNAKE_CASE	,		np.ndarray			):
    # convert the image array to PNG/TIFF bytes
    return encode_np_array(__SCREAMING_SNAKE_CASE			)
   elif isinstance(__SCREAMING_SNAKE_CASE	,		PIL.Image.Image			):
    # convert the PIL image to bytes (default format is PNG/TIFF)
    return encode_pil_image(__SCREAMING_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	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_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:
    __lowerCAmelCase      :						List[Any]						      =				{}

   __lowerCAmelCase      ,       __lowerCAmelCase      :						Optional[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(__SCREAMING_SNAKE_CASE			):
      __lowerCAmelCase      :						List[str]						      =				PIL.Image.open(__SCREAMING_SNAKE_CASE			)
     else:
      __lowerCAmelCase      :						Union[str, Any]						      =				path.split('::'			)[-1]
      try:
       __lowerCAmelCase      :						List[Any]						      =				string_to_dict(__SCREAMING_SNAKE_CASE	,		config.HUB_DATASETS_URL			)['repo_id']
       __lowerCAmelCase      :						Union[str, Any]						      =				token_per_repo_id.get(__SCREAMING_SNAKE_CASE			)
      except ValueError:
       __lowerCAmelCase      :						Dict						      =				None
      with xopen(__SCREAMING_SNAKE_CASE	,		'rb'	,		use_auth_token=__SCREAMING_SNAKE_CASE			) as f:
       __lowerCAmelCase      :						Dict						      =				BytesIO(f.read()			)
      __lowerCAmelCase      :						Tuple						      =				PIL.Image.open(bytes_			)
   else:
    __lowerCAmelCase      :						Union[str, Any]						      =				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	,		_SCREAMING_SNAKE_CASE			):
   if pa.types.is_string(storage.type			):
    __lowerCAmelCase      :						List[str]						      =				pa.array([None] * len(__SCREAMING_SNAKE_CASE			)	,		type=pa.binary()			)
    __lowerCAmelCase      :						Any						      =				pa.StructArray.from_arrays([bytes_array, storage]	,		['bytes', 'path']	,		mask=storage.is_null()			)
   elif pa.types.is_binary(storage.type			):
    __lowerCAmelCase      :						str						      =				pa.array([None] * len(__SCREAMING_SNAKE_CASE			)	,		type=pa.string()			)
    __lowerCAmelCase      :						Optional[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:
     __lowerCAmelCase      :						List[str]						      =				storage.field('bytes'			)
    else:
     __lowerCAmelCase      :						Optional[int]						      =				pa.array([None] * len(__SCREAMING_SNAKE_CASE			)	,		type=pa.binary()			)
    if storage.type.get_field_index('path'			) >= 0:
     __lowerCAmelCase      :						int						      =				storage.field('path'			)
    else:
     __lowerCAmelCase      :						Optional[int]						      =				pa.array([None] * len(__SCREAMING_SNAKE_CASE			)	,		type=pa.string()			)
    __lowerCAmelCase      :						int						      =				pa.StructArray.from_arrays([bytes_array, path_array]	,		['bytes', 'path']	,		mask=storage.is_null()			)
   elif pa.types.is_list(storage.type			):
    __lowerCAmelCase      :						Union[str, Any]						      =				pa.array(
        [encode_np_array(np.array(__SCREAMING_SNAKE_CASE			)			)['bytes'] if arr is not None else None for arr in storage.to_pylist()]	,		type=pa.binary()	,		)
    __lowerCAmelCase      :						Union[str, Any]						      =				pa.array([None] * len(__SCREAMING_SNAKE_CASE			)	,		type=pa.string()			)
    __lowerCAmelCase      :						Optional[Any]						      =				pa.StructArray.from_arrays(
        [bytes_array, path_array]	,		['bytes', 'path']	,		mask=bytes_array.is_null()			)
   return array_cast(__SCREAMING_SNAKE_CASE	,		self.pa_type			)







  def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):

   @no_op_if_value_is_null
   def path_to_bytes(_SCREAMING_SNAKE_CASE			):
    with xopen(__SCREAMING_SNAKE_CASE	,		'rb'			) as f:
     __lowerCAmelCase      :						int						      =				f.read()
    return bytes_

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



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

 __lowerCAmelCase      :						str						      =				array.dtype
 __lowerCAmelCase      :						Any						      =				dtype.byteorder if dtype.byteorder != '=' else _NATIVE_BYTEORDER
 __lowerCAmelCase      :						Union[str, Any]						      =				dtype.kind
 __lowerCAmelCase      :						Tuple						      =				dtype.itemsize

 __lowerCAmelCase      :						List[Any]						      =				None

 # Multi-channel array case (only np.dtype("|u1") is allowed)
 if array.shape[2:]:
  __lowerCAmelCase      :						List[str]						      =				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:
  __lowerCAmelCase      :						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:
   __lowerCAmelCase      :						Any						      =				dtype_byteorder + dtype_kind + str(lowercase__		)
   __lowerCAmelCase      :						List[Any]						      =				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}"		)
 __lowerCAmelCase      :						str						      =				PIL.Image.fromarray(array.astype(lowercase__		)		)
 return {"path": None, "bytes": image_to_bytes(lowercase__		)}
def    __lowerCAmelCase    (_UpperCamelCase		):
 if config.PIL_AVAILABLE:
  import PIL.Image
 else:
  raise ImportError('To support encoding images, please install \'Pillow\'.'		)

 if objs:
  __lowerCAmelCase      ,       __lowerCAmelCase      :						int						      =				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		):
   __lowerCAmelCase      :						int						      =				no_op_if_value_is_null(lowercase__		)
   return [obj_to_image_dict_func(lowercase__		) for obj in objs]
  elif isinstance(lowercase__	,  PIL.Image.Image		):
   __lowerCAmelCase      :						Optional[Any]						      =				no_op_if_value_is_null(lowercase__		)
   return [obj_to_image_dict_func(lowercase__		) for obj in objs]
  else:
   return objs
 else:
  return objs

"""simple docstring"""







import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


lowerCamelCase__        =		"""hf-internal-testing/tiny-random-bert"""
lowerCamelCase__        =		os.path.join(TRANSFORMERS_CACHE, """models--hf-internal-testing--tiny-random-bert""")
lowerCamelCase__        =		"""9b8c223d42b2188cb49d29af482996f9d0f3e5a6"""




class 			A__	(     unittest.TestCase):

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						Union[str, Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)
			# Should have downloaded the file in here
			self.assertTrue(os.path.isdir(_SCREAMING_SNAKE_CASE			)			)
			# Cache should contain at least those three subfolders:
			for subfolder in ["blobs", "refs", "snapshots"]:
				self.assertTrue(os.path.isdir(os.path.join(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)			)			)
			with open(os.path.join(_SCREAMING_SNAKE_CASE	,		'refs'	,		'main'			)			) as f:
				__lowerCAmelCase      :						List[Any]						      =				f.read()
			self.assertEqual(_SCREAMING_SNAKE_CASE	,		os.path.join(_SCREAMING_SNAKE_CASE	,		'snapshots'	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)			)
			self.assertTrue(os.path.isfile(_SCREAMING_SNAKE_CASE			)			)

			# File is cached at the same place the second time.
			__lowerCAmelCase      :						Union[str, Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)
			self.assertEqual(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

			# Using a specific revision to test the full commit hash.
			__lowerCAmelCase      :						Union[str, Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		revision='9b8c223'			)
			self.assertEqual(_SCREAMING_SNAKE_CASE	,		os.path.join(_SCREAMING_SNAKE_CASE	,		'snapshots'	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'is not a valid model identifier'			):
				__lowerCAmelCase      :						Optional[Any]						      =				cached_file('tiny-random-bert'	,		_SCREAMING_SNAKE_CASE			)

			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'is not a valid git identifier'			):
				__lowerCAmelCase      :						str						      =				cached_file(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		revision='aaaa'			)

			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'does not appear to have a file named'			):
				__lowerCAmelCase      :						Optional[Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'does not appear to have a file named'			):
				__lowerCAmelCase      :						Optional[int]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'			)

			with open(os.path.join(_SCREAMING_SNAKE_CASE	,		'refs'	,		'main'			)			) as f:
				__lowerCAmelCase      :						Tuple						      =				f.read()
			self.assertTrue(os.path.isfile(os.path.join(_SCREAMING_SNAKE_CASE	,		'.no_exist'	,		_SCREAMING_SNAKE_CASE	,		'conf'			)			)			)

			__lowerCAmelCase      :						List[Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'	,		_raise_exceptions_for_missing_entries=_SCREAMING_SNAKE_CASE			)
			self.assertIsNone(_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						List[str]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'	,		local_files_only=_SCREAMING_SNAKE_CASE	,		_raise_exceptions_for_missing_entries=_SCREAMING_SNAKE_CASE			)
			self.assertIsNone(_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						List[Any]						      =				mock.Mock()
			__lowerCAmelCase      :						Tuple						      =				5_00
			__lowerCAmelCase      :						List[Any]						      =				{}
			__lowerCAmelCase      :						Dict						      =				HTTPError
			__lowerCAmelCase      :						str						      =				{}

			# Under the mock environment we get a 500 error when trying to reach the tokenizer.
			with mock.patch('requests.Session.request'	,		return_value=_SCREAMING_SNAKE_CASE			) as mock_head:
				__lowerCAmelCase      :						Optional[Any]						      =				cached_file(_SCREAMING_SNAKE_CASE	,		'conf'	,		_raise_exceptions_for_connection_errors=_SCREAMING_SNAKE_CASE			)
				self.assertIsNone(_SCREAMING_SNAKE_CASE			)
				# This check we did call the fake head request
				mock_head.assert_called()

		def 							__lowerCamelCase							(				self			):
			self.assertTrue(has_file('hf-internal-testing/tiny-bert-pt-only'	,		_SCREAMING_SNAKE_CASE			)			)
			self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'	,		_SCREAMING_SNAKE_CASE			)			)
			self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'	,		_SCREAMING_SNAKE_CASE			)			)

		def 							__lowerCamelCase							(				self			):
			# `get_file_from_repo` returns None if the file does not exist
			self.assertIsNone(get_file_from_repo('bert-base-cased'	,		'ahah.txt'			)			)

			# The function raises if the repository does not exist.
			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'is not a valid model identifier'			):
				get_file_from_repo('bert-base-case'	,		_SCREAMING_SNAKE_CASE			)

			# The function raises if the revision does not exist.
			with self.assertRaisesRegex(_SCREAMING_SNAKE_CASE	,		'is not a valid git identifier'			):
				get_file_from_repo('bert-base-cased'	,		_SCREAMING_SNAKE_CASE	,		revision='ahaha'			)

			__lowerCAmelCase      :						Union[str, Any]						      =				get_file_from_repo('bert-base-cased'	,		_SCREAMING_SNAKE_CASE			)
			# The name is the cached name which is not very easy to test, so instead we load the content.
			__lowerCAmelCase      :						List[Any]						      =				json.loads(open(_SCREAMING_SNAKE_CASE	,		'r'			).read()			)
			self.assertEqual(config['hidden_size']	,		7_68			)







		def 							__lowerCamelCase							(				self			):
			with tempfile.TemporaryDirectory() as tmp_dir:
				__lowerCAmelCase      :						str						      =				Path(_SCREAMING_SNAKE_CASE			) / 'a.txt'
				filename.touch()
				self.assertEqual(get_file_from_repo(_SCREAMING_SNAKE_CASE	,		'a.txt'			)	,		str(_SCREAMING_SNAKE_CASE			)			)

				self.assertIsNone(get_file_from_repo(_SCREAMING_SNAKE_CASE	,		'b.txt'			)			)