
'''simple docstring'''
from typing import Dict, List, Optional, Tuple, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
    center_crop,
    get_resize_output_image_size,
    normalize,
    rescale,
    resize,
    to_channel_dimension_format,
)
from ...image_utils import (
    IMAGENET_STANDARD_MEAN,
    IMAGENET_STANDARD_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_torch_available, is_torch_tensor, logging


if is_torch_available():
				import torch


__lowerCAmelCase					=			logging.get_logger(__name__)


class      _lowerCAmelCase       (       lowercase__ ):







							'''simple docstring'''

							lowerCAmelCase_   		=		["pixel_values"]

							def __init__(self    ,    UpperCAmelCase = True    ,    UpperCAmelCase = None    ,    UpperCAmelCase = PILImageResampling.BILINEAR    ,    UpperCAmelCase = True    ,    UpperCAmelCase = None    ,    UpperCAmelCase = True    ,    UpperCAmelCase = 1 / 255    ,    UpperCAmelCase = True    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    **UpperCAmelCase    ,    )	->  None:
														super().__init__(**lowercase_    )
														_snake_case  =    size if size is not None else {"""shortest_edge""": 256}
														_snake_case  =    get_size_dict(lowercase_    ,    default_to_square=lowercase_    )
														_snake_case  =    crop_size if crop_size is not None else {"""height""": 224, """width""": 224}
														_snake_case  =    get_size_dict(lowercase_    ,    param_name="""crop_size"""    )
														_snake_case  =    do_resize
														_snake_case  =    size
														_snake_case  =    resample
														_snake_case  =    do_center_crop
														_snake_case  =    crop_size
														_snake_case  =    do_rescale
														_snake_case  =    rescale_factor
														_snake_case  =    do_normalize
														_snake_case  =    image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
														_snake_case  =    image_std if image_std is not None else IMAGENET_STANDARD_STD

							def 			lowercase				(self    ,    UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase = PILImageResampling.BICUBIC    ,    UpperCAmelCase = None    ,    **UpperCAmelCase    ,    )	->  np.ndarray:
														_snake_case  =    get_size_dict(lowercase_    ,    default_to_square=lowercase_    )
														if "shortest_edge" not in size:
																					raise ValueError(f"""The `size` parameter must contain the key `shortest_edge`. Got {size.keys()}"""    )
														_snake_case  =    get_resize_output_image_size(lowercase_    ,    size=size["""shortest_edge"""]    ,    default_to_square=lowercase_    )
														return resize(lowercase_    ,    size=lowercase_    ,    resample=lowercase_    ,    data_format=lowercase_    ,    **lowercase_    )

							def 			lowercase				(self    ,    UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase = None    ,    **UpperCAmelCase    ,    )	->  np.ndarray:
														_snake_case  =    get_size_dict(lowercase_    )
														if "height" not in size or "width" not in size:
																					raise ValueError(f"""The `size` parameter must contain the keys `height` and `width`. Got {size.keys()}"""    )
														return center_crop(lowercase_    ,    size=(size["""height"""], size["""width"""])    ,    data_format=lowercase_    ,    **lowercase_    )

							def 			lowercase				(self    ,    UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase = None    ,    **UpperCAmelCase    )	->  np.ndarray:
														return rescale(lowercase_    ,    scale=lowercase_    ,    data_format=lowercase_    ,    **lowercase_    )

							def 			lowercase				(self    ,    UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase = None    ,    **UpperCAmelCase    ,    )	->  np.ndarray:
														return normalize(lowercase_    ,    mean=lowercase_    ,    std=lowercase_    ,    data_format=lowercase_    ,    **lowercase_    )

							def 			lowercase				(self    ,    UpperCAmelCase    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = None    ,    UpperCAmelCase = ChannelDimension.FIRST    ,    **UpperCAmelCase    ,    )	->  Tuple:
														_snake_case  =    do_resize if do_resize is not None else self.do_resize
														_snake_case  =    size if size is not None else self.size
														_snake_case  =    get_size_dict(lowercase_    ,    default_to_square=lowercase_    )
														_snake_case  =    resample if resample is not None else self.resample
														_snake_case  =    do_center_crop if do_center_crop is not None else self.do_center_crop
														_snake_case  =    crop_size if crop_size is not None else self.crop_size
														_snake_case  =    get_size_dict(lowercase_    ,    param_name="""crop_size"""    )
														_snake_case  =    do_rescale if do_rescale is not None else self.do_rescale
														_snake_case  =    rescale_factor if rescale_factor is not None else self.rescale_factor
														_snake_case  =    do_normalize if do_normalize is not None else self.do_normalize
														_snake_case  =    image_mean if image_mean is not None else self.image_mean
														_snake_case  =    image_std if image_std is not None else self.image_std

														_snake_case  =    make_list_of_images(lowercase_    )

														if not valid_images(lowercase_    ):
																					raise ValueError(
																					    """Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, """
																					    """torch.Tensor, tf.Tensor or jax.ndarray."""    )

														if do_resize and size is None:
																					raise ValueError("""Size must be specified if do_resize is True."""    )

														if do_center_crop and crop_size is None:
																					raise ValueError("""Crop size must be specified if do_center_crop is True."""    )

														if do_rescale and rescale_factor is None:
																					raise ValueError("""Rescale factor must be specified if do_rescale is True."""    )

														if do_normalize and (image_mean is None or image_std is None):
																					raise ValueError("""Image mean and std must be specified if do_normalize is True."""    )

														# All transformations expect numpy arrays.
														_snake_case  =    [to_numpy_array(lowercase_    ) for image in images]

														if do_resize:
																					_snake_case  =    [self.resize(image=lowercase_    ,    size=lowercase_    ,    resample=lowercase_    ) for image in images]

														if do_center_crop:
																					_snake_case  =    [self.center_crop(image=lowercase_    ,    size=lowercase_    ) for image in images]

														if do_rescale:
																					_snake_case  =    [self.rescale(image=lowercase_    ,    scale=lowercase_    ) for image in images]

														if do_normalize:
																					_snake_case  =    [self.normalize(image=lowercase_    ,    mean=lowercase_    ,    std=lowercase_    ) for image in images]

														_snake_case  =    [to_channel_dimension_format(lowercase_    ,    lowercase_    ) for image in images]

														_snake_case  =    {"""pixel_values""": images}
														return BatchFeature(data=lowercase_    ,    tensor_type=lowercase_    )





							def 			lowercase				(self    ,    UpperCAmelCase    ,    UpperCAmelCase = None    )	->  str:
														_snake_case  =    outputs.logits

														# Resize logits and compute semantic segmentation maps
														if target_sizes is not None:
																					if len(lowercase_    ) != len(lowercase_    ):
																												raise ValueError(
																												    """Make sure that you pass in as many target sizes as the batch dimension of the logits"""    )

																					if is_torch_tensor(lowercase_    ):
																												_snake_case  =    target_sizes.numpy()

																					_snake_case  =    []

																					for idx in range(len(lowercase_    )    ):
																												_snake_case  =    torch.nn.functional.interpolate(
																												    logits[idx].unsqueeze(dim=0    )    ,    size=target_sizes[idx]    ,    mode="""bilinear"""    ,    align_corners=lowercase_    )
																												_snake_case  =    resized_logits[0].argmax(dim=0    )
																												semantic_segmentation.append(lowercase_    )
														else:
																					_snake_case  =    logits.argmax(dim=1    )
																					_snake_case  =    [semantic_segmentation[i] for i in range(semantic_segmentation.shape[0]    )]

														return semantic_segmentation



import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
_lowerCAmelCase:						Any   				=       sys.version_info >= (3, 10)






def   _lowercase(					__a				:						int=None    ,     __a				:						Any=None     ):
							return field(default_factory=lambda: default    ,     metadata=__a     )




@dataclass
class       lowercase_					:
				snake_case	    =42
				snake_case	    =42
				snake_case	    =42
				snake_case	    =42







@dataclass
class       lowercase_					:
				snake_case	    =42
				snake_case	    =field(default='toto'      ,					metadata={'help': 'help message'}   )







@dataclass
class       lowercase_					:
				snake_case	    =False
				snake_case	    =True
				snake_case	    =None







class       lowercase_					(lowercase__   ):
				snake_case	    ='titi'
				snake_case	    ='toto'







class       lowercase_					(lowercase__   ):
				snake_case	    ='titi'
				snake_case	    ='toto'
				snake_case	    =42







@dataclass
class       lowercase_					:
				snake_case	    ="toto"





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =BasicEnum(self.foo)







@dataclass
class       lowercase_					:
				snake_case	    ="toto"





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =MixedTypeEnum(self.foo)







@dataclass
class       lowercase_					:
				snake_case	    =None
				snake_case	    =field(default=lowercase__      ,					metadata={'help': 'help message'}   )
				snake_case	    =None
				snake_case	    =list_field(default=[]   )
				snake_case	    =list_field(default=[]   )







@dataclass
class       lowercase_					:
				snake_case	    =list_field(default=[]   )
				snake_case	    =list_field(default=[1, 2, 3]   )
				snake_case	    =list_field(default=['Hallo', 'Bonjour', 'Hello']   )
				snake_case	    =list_field(default=[0.1, 0.2, 0.3]   )







@dataclass
class       lowercase_					:
				snake_case	    =field()
				snake_case	    =field()
				snake_case	    =field()





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =BasicEnum(self.required_enum)







@dataclass
class       lowercase_					:
				snake_case	    =42
				snake_case	    =field()
				snake_case	    =None
				snake_case	    =field(default='toto'      ,					metadata={'help': 'help message'}   )
				snake_case	    =list_field(default=['Hallo', 'Bonjour', 'Hello']   )


if is_python_no_less_than_3_10:




	@dataclass
	class       lowercase_					:
					snake_case	    =False
					snake_case	    =True
					snake_case	    =None







	@dataclass
	class       lowercase_					:
					snake_case	    =None
					snake_case	    =field(default=lowercase__      ,					metadata={'help': 'help message'}   )
					snake_case	    =None
					snake_case	    =list_field(default=[]   )
					snake_case	    =list_field(default=[]   )







class       lowercase_					(unittest.TestCase   ):





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> int:
											self.assertEqual(len(a._actions)       ,  len(b._actions))
											for x, y in zip(a._actions       ,  b._actions):
																		a__      ={k: v for k, v in vars(lowercase_).items() if k != 'container'}
																		a__      ={k: v for k, v in vars(lowercase_).items() if k != 'container'}

																		# Choices with mixed type have custom function as "type"
																		# So we need to compare results directly for equality
																		if xx.get('choices'       ,  lowercase_) and yy.get('choices'       ,  lowercase_):
																									for expected_choice in yy["choices"] + xx["choices"]:
																																self.assertEqual(xx['type'](lowercase_)       ,  yy['type'](lowercase_))
																									del xx["type"], yy["type"]

																		self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--bar'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--baz'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--flag'       ,  type=lowercase_       ,  default=lowercase_       ,  const=lowercase_       ,  nargs='?')
											self.argparsersEqual(lowercase_       ,  lowercase_)

											a__      =['--foo', '1', '--baz', 'quux', '--bar', '0.5']
											((a__)    ,     )      =parser.parse_args_into_dataclasses(lowercase_       ,  look_for_args_file=lowercase_)
											self.assertFalse(example.flag)





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  default=42       ,  type=lowercase_)
											expected.add_argument('--baz'       ,  default='toto'       ,  type=lowercase_       ,  help='help message')
											self.argparsersEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Optional[Any]:
											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  type=lowercase_       ,  default=lowercase_       ,  const=lowercase_       ,  nargs='?')
											expected.add_argument('--baz'       ,  type=lowercase_       ,  default=lowercase_       ,  const=lowercase_       ,  nargs='?')
											# A boolean no_* argument always has to come after its "default: True" regular counter-part
											# and its default must be set to False
											expected.add_argument('--no_baz'       ,  action='store_false'       ,  default=lowercase_       ,  dest='baz')
											expected.add_argument('--opt'       ,  type=lowercase_       ,  default=lowercase_)

											a__      =[WithDefaultBoolExample]
											if is_python_no_less_than_3_10:
																		dataclass_types.append(lowercase_)

											for dataclass_type in dataclass_types:
																		a__      =HfArgumentParser(lowercase_)
																		self.argparsersEqual(lowercase_       ,  lowercase_)

																		a__      =parser.parse_args([])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', '--no_baz'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', '--baz'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', 'True', '--baz', 'True', '--opt', 'True'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', 'False', '--baz', 'False', '--opt', 'False'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument(
											    '--foo'       ,  default='toto'       ,  choices=['titi', 'toto', 42]       ,  type=make_choice_type_function(['titi', 'toto', 42])       ,  )
											self.argparsersEqual(lowercase_       ,  lowercase_)

											a__      =parser.parse_args([])
											self.assertEqual(args.foo       ,  'toto')
											a__      =parser.parse_args_into_dataclasses([])[0]
											self.assertEqual(enum_ex.foo       ,  MixedTypeEnum.toto)

											a__      =parser.parse_args(['--foo', 'titi'])
											self.assertEqual(args.foo       ,  'titi')
											a__      =parser.parse_args_into_dataclasses(['--foo', 'titi'])[0]
											self.assertEqual(enum_ex.foo       ,  MixedTypeEnum.titi)

											a__      =parser.parse_args(['--foo', '42'])
											self.assertEqual(args.foo       ,  42)
											a__      =parser.parse_args_into_dataclasses(['--foo', '42'])[0]
											self.assertEqual(enum_ex.foo       ,  MixedTypeEnum.fourtytwo)





				def 						__UpperCamelCase    (				self)  -> List[Any]:




											@dataclass
											class       lowercase_					:
															snake_case	    ="toto"







											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument(
											    '--foo'       ,  default='toto'       ,  choices=('titi', 'toto', 42)       ,  type=make_choice_type_function(['titi', 'toto', 42])       ,  )
											self.argparsersEqual(lowercase_       ,  lowercase_)

											a__      =parser.parse_args([])
											self.assertEqual(args.foo       ,  'toto')

											a__      =parser.parse_args(['--foo', 'titi'])
											self.assertEqual(args.foo       ,  'titi')

											a__      =parser.parse_args(['--foo', '42'])
											self.assertEqual(args.foo       ,  42)





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo_int'       ,  nargs='+'       ,  default=[]       ,  type=lowercase_)
											expected.add_argument('--bar_int'       ,  nargs='+'       ,  default=[1, 2, 3]       ,  type=lowercase_)
											expected.add_argument('--foo_str'       ,  nargs='+'       ,  default=['Hallo', 'Bonjour', 'Hello']       ,  type=lowercase_)
											expected.add_argument('--foo_float'       ,  nargs='+'       ,  default=[0.1, 0.2, 0.3]       ,  type=lowercase_)

											self.argparsersEqual(lowercase_       ,  lowercase_)

											a__      =parser.parse_args([])
											self.assertEqual(
											    lowercase_       ,  Namespace(foo_int=[]       ,  bar_int=[1, 2, 3]       ,  foo_str=['Hallo', 'Bonjour', 'Hello']       ,  foo_float=[0.1, 0.2, 0.3])       ,  )

											a__      =parser.parse_args('--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7'.split())
											self.assertEqual(lowercase_       ,  Namespace(foo_int=[1]       ,  bar_int=[2, 3]       ,  foo_str=['a', 'b', 'c']       ,  foo_float=[0.1, 0.7]))





				def 						__UpperCamelCase    (				self)  -> Dict:
											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  default=lowercase_       ,  type=lowercase_)
											expected.add_argument('--bar'       ,  default=lowercase_       ,  type=lowercase_       ,  help='help message')
											expected.add_argument('--baz'       ,  default=lowercase_       ,  type=lowercase_)
											expected.add_argument('--ces'       ,  nargs='+'       ,  default=[]       ,  type=lowercase_)
											expected.add_argument('--des'       ,  nargs='+'       ,  default=[]       ,  type=lowercase_)

											a__      =[OptionalExample]
											if is_python_no_less_than_3_10:
																		dataclass_types.append(lowercase_)

											for dataclass_type in dataclass_types:
																		a__      =HfArgumentParser(lowercase_)

																		self.argparsersEqual(lowercase_       ,  lowercase_)

																		a__      =parser.parse_args([])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  bar=lowercase_       ,  baz=lowercase_       ,  ces=[]       ,  des=[]))

																		a__      =parser.parse_args('--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3'.split())
																		self.assertEqual(lowercase_       ,  Namespace(foo=12       ,  bar=3.14       ,  baz='42'       ,  ces=['a', 'b', 'c']       ,  des=[1, 2, 3]))





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--required_list'       ,  nargs='+'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--required_str'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument(
											    '--required_enum'       ,  type=make_choice_type_function(['titi', 'toto'])       ,  choices=['titi', 'toto']       ,  required=lowercase_       ,  )
											self.argparsersEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument(
											    '--required_enum'       ,  type=make_choice_type_function(['titi', 'toto'])       ,  choices=['titi', 'toto']       ,  required=lowercase_       ,  )
											expected.add_argument('--opt'       ,  type=lowercase_       ,  default=lowercase_)
											expected.add_argument('--baz'       ,  default='toto'       ,  type=lowercase_       ,  help='help message')
											expected.add_argument('--foo_str'       ,  nargs='+'       ,  default=['Hallo', 'Bonjour', 'Hello']       ,  type=lowercase_)
											self.argparsersEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      ={
											    'foo': 12,
											    'bar': 3.14,
											    'baz': '42',
											    'flag': True,
											}

											a__      =parser.parse_dict(lowercase_)[0]
											a__      =BasicExample(**lowercase_)
											self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      ={
											    'foo': 12,
											    'bar': 3.14,
											    'baz': '42',
											    'flag': True,
											    'extra': 42,
											}

											self.assertRaises(lowercase_       ,  parser.parse_dict       ,  lowercase_       ,  allow_extra_keys=lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      ={
											    'foo': 12,
											    'bar': 3.14,
											    'baz': '42',
											    'flag': True,
											}
											with tempfile.TemporaryDirectory() as tmp_dir:
																		a__      =os.path.join(lowercase_       ,  'temp_json')
																		os.mkdir(lowercase_)
																		with open(temp_local_path + '.json'       ,  'w+') as f:
																									json.dump(lowercase_       ,  lowercase_)
																		a__      =parser.parse_yaml_file(Path(temp_local_path + '.json'))[0]

											a__      =BasicExample(**lowercase_)
											self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Any:
											a__      =HfArgumentParser(lowercase_)

											a__      ={
											    'foo': 12,
											    'bar': 3.14,
											    'baz': '42',
											    'flag': True,
											}
											with tempfile.TemporaryDirectory() as tmp_dir:
																		a__      =os.path.join(lowercase_       ,  'temp_yaml')
																		os.mkdir(lowercase_)
																		with open(temp_local_path + '.yaml'       ,  'w+') as f:
																									yaml.dump(lowercase_       ,  lowercase_)
																		a__      =parser.parse_yaml_file(Path(temp_local_path + '.yaml'))[0]
											a__      =BasicExample(**lowercase_)
											self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =HfArgumentParser(lowercase_)
											self.assertIsNotNone(lowercase_)

