





'''simple docstring'''



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
_SCREAMING_SNAKE_CASE     :   List[Any]					=    sys.version_info >= (3, 1_0)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Optional[int]=None		,       lowerCamelCase_			:  Union[str, Any]=None				):
			return field(default_factory=lambda: default		,       metadata=lowerCamelCase_				)






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				int
	a    :				float
	a    :				str
	a    :				bool






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				int											=       42
	a    :				str											=       field(default="toto" ,      metadata={"help": "help message"}						)






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				bool											=       False
	a    :				bool											=       True
	a    :				Optional[bool]											=       None






class 							__lowercase       (      UpperCamelCase__						):







	'''simple docstring'''

	a    :				Optional[int]											=       """titi"""
	a    :				int											=       """toto"""






class 							__lowercase       (      UpperCamelCase__						):







	'''simple docstring'''

	a    :				Union[str, Any]											=       """titi"""
	a    :				Any											=       """toto"""
	a    :				Union[str, Any]											=       42






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				BasicEnum											=       "toto"


	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				__lowercase										=							BasicEnum(self.foo )






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				MixedTypeEnum											=       "toto"


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







				'''simple docstring'''





				__lowercase										=							MixedTypeEnum(self.foo )






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				Optional[int]											=       None
	a    :				Optional[float]											=       field(default=UpperCamelCase__ ,      metadata={"help": "help message"}						)
	a    :				Optional[str]											=       None
	a    :				Optional[List[str]]											=       list_field(default=[]						)
	a    :				Optional[List[int]]											=       list_field(default=[]						)






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				List[int]											=       list_field(default=[]						)
	a    :				List[int]											=       list_field(default=[1, 2, 3]						)
	a    :				List[str]											=       list_field(default=["Hallo", "Bonjour", "Hello"]						)
	a    :				List[float]											=       list_field(default=[0.1, 0.2, 0.3]						)






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				List[int]											=       field()
	a    :				str											=       field()
	a    :				BasicEnum											=       field()


	def 						_UpperCAmelCase     (self )							->							Dict:







				'''simple docstring'''





				__lowercase										=							BasicEnum(self.required_enum )






@dataclass
class 							__lowercase       :







	'''simple docstring'''

	a    :				int
	a    :				"BasicEnum"											=       field()
	a    :				"Optional[bool]"											=       None
	a    :				"str"											=       field(default="toto" ,      metadata={"help": "help message"}						)
	a    :				"List[str]"											=       list_field(default=["Hallo", "Bonjour", "Hello"]						)


if is_python_no_less_than_3_10:






	@dataclass
	class 							__lowercase       :







		'''simple docstring'''

		a    :				bool											=       False
		a    :				bool											=       True
		a    :				bool | None											=       None






	@dataclass
	class 							__lowercase       :







		'''simple docstring'''

		a    :				int | None											=       None
		a    :				float | None											=       field(default=UpperCamelCase__ ,      metadata={"help": "help message"}						)
		a    :				str | None											=       None
		a    :				list[str] | None											=       list_field(default=[]						)
		a    :				list[int] | None											=       list_field(default=[]						)






class 							__lowercase       (      unittest.TestCase						):







	'''simple docstring'''

	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase )							->							Any:







				'''simple docstring'''





				self.assertEqual(len(a._actions )     ,len(b._actions ) )
				for x, y in zip(a._actions     ,b._actions ):
							__lowercase										=							{k: v for k, v in vars(_lowerCamelCase ).items() if k != '''container'''}
							__lowercase										=							{k: v for k, v in vars(_lowerCamelCase ).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'''     ,_lowerCamelCase ) and yy.get('''choices'''     ,_lowerCamelCase ):
										for expected_choice in yy["choices"] + xx["choices"]:
													self.assertEqual(xx['''type'''](_lowerCamelCase )     ,yy['''type'''](_lowerCamelCase ) )
										del xx["type"], yy["type"]

							self.assertEqual(_lowerCamelCase     ,_lowerCamelCase )


	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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

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


	def 						_UpperCAmelCase     (self )							->							Dict:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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


	def 						_UpperCAmelCase     (self )							->							Tuple:







				'''simple docstring'''





				__lowercase										=							argparse.ArgumentParser()
				expected.add_argument('''--foo'''     ,type=_lowerCamelCase     ,default=_lowerCamelCase     ,const=_lowerCamelCase     ,nargs='''?''' )
				expected.add_argument('''--baz'''     ,type=_lowerCamelCase     ,default=_lowerCamelCase     ,const=_lowerCamelCase     ,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=_lowerCamelCase     ,dest='''baz''' )
				expected.add_argument('''--opt'''     ,type=_lowerCamelCase     ,default=_lowerCamelCase )

				__lowercase										=							[WithDefaultBoolExample]
				if is_python_no_less_than_3_10:
							dataclass_types.append(_lowerCamelCase )

				for dataclass_type in dataclass_types:
							__lowercase										=							HfArgumentParser(_lowerCamelCase )
							self.argparsersEqual(_lowerCamelCase     ,_lowerCamelCase )

							__lowercase										=							parser.parse_args([] )
							self.assertEqual(_lowerCamelCase     ,Namespace(foo=_lowerCamelCase     ,baz=_lowerCamelCase     ,opt=_lowerCamelCase ) )

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

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

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

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


	def 						_UpperCAmelCase     (self )							->							Tuple:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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

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

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

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


	def 						_UpperCAmelCase     (self )							->							List[str]:







				'''simple docstring'''





				@dataclass
				class 							__lowercase       :







					'''simple docstring'''

					a    :				Literal["titi", "toto", 42]											=       "toto"





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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

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

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

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


	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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

				self.argparsersEqual(_lowerCamelCase     ,_lowerCamelCase )

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

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


	def 						_UpperCAmelCase     (self )							->							Optional[int]:







				'''simple docstring'''





				__lowercase										=							argparse.ArgumentParser()
				expected.add_argument('''--foo'''     ,default=_lowerCamelCase     ,type=_lowerCamelCase )
				expected.add_argument('''--bar'''     ,default=_lowerCamelCase     ,type=_lowerCamelCase     ,help='''help message''' )
				expected.add_argument('''--baz'''     ,default=_lowerCamelCase     ,type=_lowerCamelCase )
				expected.add_argument('''--ces'''     ,nargs='''+'''     ,default=[]     ,type=_lowerCamelCase )
				expected.add_argument('''--des'''     ,nargs='''+'''     ,default=[]     ,type=_lowerCamelCase )

				__lowercase										=							[OptionalExample]
				if is_python_no_less_than_3_10:
							dataclass_types.append(_lowerCamelCase )

				for dataclass_type in dataclass_types:
							__lowercase										=							HfArgumentParser(_lowerCamelCase )

							self.argparsersEqual(_lowerCamelCase     ,_lowerCamelCase )

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

							__lowercase										=							parser.parse_args('''--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3'''.split() )
							self.assertEqual(_lowerCamelCase     ,Namespace(foo=12     ,bar=3.1_4     ,baz='''42'''     ,ces=['''a''', '''b''', '''c''']     ,des=[1, 2, 3] ) )


	def 						_UpperCAmelCase     (self )							->							Any:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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


	def 						_UpperCAmelCase     (self )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

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


	def 						_UpperCAmelCase     (self )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

				__lowercase										=							{
				    '''foo''': 12,
				    '''bar''': 3.1_4,
				    '''baz''': '''42''',
				    '''flag''': True,
				}

				__lowercase										=							parser.parse_dict(_lowerCamelCase )[0]
				__lowercase										=							BasicExample(**_lowerCamelCase )
				self.assertEqual(_lowerCamelCase     ,_lowerCamelCase )


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







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

				__lowercase										=							{
				    '''foo''': 12,
				    '''bar''': 3.1_4,
				    '''baz''': '''42''',
				    '''flag''': True,
				    '''extra''': 42,
				}

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


	def 						_UpperCAmelCase     (self )							->							List[str]:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

				__lowercase										=							{
				    '''foo''': 12,
				    '''bar''': 3.1_4,
				    '''baz''': '''42''',
				    '''flag''': True,
				}
				with tempfile.TemporaryDirectory() as tmp_dir:
							__lowercase										=							os.path.join(_lowerCamelCase     ,'''temp_json''' )
							os.mkdir(_lowerCamelCase )
							with open(temp_local_path + '''.json'''     ,'''w+''' ) as f:
										json.dump(_lowerCamelCase     ,_lowerCamelCase )
							__lowercase										=							parser.parse_yaml_file(Path(temp_local_path + '''.json''' ) )[0]

				__lowercase										=							BasicExample(**_lowerCamelCase )
				self.assertEqual(_lowerCamelCase     ,_lowerCamelCase )


	def 						_UpperCAmelCase     (self )							->							Tuple:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )

				__lowercase										=							{
				    '''foo''': 12,
				    '''bar''': 3.1_4,
				    '''baz''': '''42''',
				    '''flag''': True,
				}
				with tempfile.TemporaryDirectory() as tmp_dir:
							__lowercase										=							os.path.join(_lowerCamelCase     ,'''temp_yaml''' )
							os.mkdir(_lowerCamelCase )
							with open(temp_local_path + '''.yaml'''     ,'''w+''' ) as f:
										yaml.dump(_lowerCamelCase     ,_lowerCamelCase )
							__lowercase										=							parser.parse_yaml_file(Path(temp_local_path + '''.yaml''' ) )[0]
				__lowercase										=							BasicExample(**_lowerCamelCase )
				self.assertEqual(_lowerCamelCase     ,_lowerCamelCase )


	def 						_UpperCAmelCase     (self )							->							Any:







				'''simple docstring'''





				__lowercase										=							HfArgumentParser(_lowerCamelCase )
				self.assertIsNotNone(_lowerCamelCase )












'''simple docstring'''



import numpy as np

# Importing the Keras libraries and packages
import tensorflow as tf
from tensorflow.keras import layers, models

if __name__ == "__main__":
	# Initialising the CNN
	# (Sequential- Building the model layer by layer)
	_SCREAMING_SNAKE_CASE					=    models.Sequential()

	# Step 1 - Convolution
	# Here 64,64 is the length & breadth of dataset images and 3 is for the RGB channel
	# (3,3) is the kernel size (filter matrix)
	classifier.add(
	    layers.ConvaD(3_2, (3, 3), input_shape=(6_4, 6_4, 3), activation='''relu''')
	)

	# Step 2 - Pooling
	classifier.add(layers.MaxPoolingaD(pool_size=(2, 2)))

	# Adding a second convolutional layer
	classifier.add(layers.ConvaD(3_2, (3, 3), activation='''relu'''))
	classifier.add(layers.MaxPoolingaD(pool_size=(2, 2)))

	# Step 3 - Flattening
	classifier.add(layers.Flatten())

	# Step 4 - Full connection
	classifier.add(layers.Dense(units=1_2_8, activation='''relu'''))
	classifier.add(layers.Dense(units=1, activation='''sigmoid'''))

	# Compiling the CNN
	classifier.compile(
	    optimizer='''adam''', loss='''binary_crossentropy''', metrics=['''accuracy''']
	)

	# Part 2 - Fitting the CNN to the images

	# Load Trained model weights

	# from keras.models import load_model
	# regressor=load_model('cnn.h5')

	_SCREAMING_SNAKE_CASE					=    tf.keras.preprocessing.image.ImageDataGenerator(
	    rescale=1.0 / 2_5_5, shear_range=0.2, zoom_range=0.2, horizontal_flip=True
	)

	_SCREAMING_SNAKE_CASE					=    tf.keras.preprocessing.image.ImageDataGenerator(rescale=1.0 / 2_5_5)

	_SCREAMING_SNAKE_CASE					=    train_datagen.flow_from_directory(
	    '''dataset/training_set''', target_size=(6_4, 6_4), batch_size=3_2, class_mode='''binary'''
	)

	_SCREAMING_SNAKE_CASE					=    test_datagen.flow_from_directory(
	    '''dataset/test_set''', target_size=(6_4, 6_4), batch_size=3_2, class_mode='''binary'''
	)

	classifier.fit_generator(
	    training_set, steps_per_epoch=5, epochs=3_0, validation_data=test_set
	)

	classifier.save('''cnn.h5''')

	# Part 3 - Making new predictions

	_SCREAMING_SNAKE_CASE					=    tf.keras.preprocessing.image.load_img(
	    '''dataset/single_prediction/image.png''', target_size=(6_4, 6_4)
	)
	_SCREAMING_SNAKE_CASE					=    tf.keras.preprocessing.image.img_to_array(test_image)
	_SCREAMING_SNAKE_CASE					=    np.expand_dims(test_image, axis=0)
	_SCREAMING_SNAKE_CASE					=    classifier.predict(test_image)
	# training_set.class_indices
	if result[0][0] == 0:
		_SCREAMING_SNAKE_CASE					=    '''Normal'''
	if result[0][0] == 1:
		_SCREAMING_SNAKE_CASE					=    '''Abnormality detected'''





