

from typing import Any





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							):







							'''simple docstring'''






							_validation(
							    UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							)
							# Creates data structures and fill initial step
							snake_case_							=    {}
							snake_case_							=    {}
							for state in states_space:
														snake_case_							=    observations_space[0]
														snake_case_							=    (
														    initial_probabilities[state] * emission_probabilities[state][observation]
														)
														snake_case_							=    None

							# Fills the data structure with the probabilities of
							# different transitions and pointers to previous states
							for o in range(1   ,							len(UpperCamelCase__      )      ):
														snake_case_							=    observations_space[o]
														snake_case_							=    observations_space[o - 1]
														for state in states_space:
																					# Calculates the argmax for probability function
																					snake_case_							=    ''
																					snake_case_							=    -1
																					for k_state in states_space:
																												snake_case_							=    (
																												    probabilities[(k_state, prior_observation)]
																												    * transition_probabilities[k_state][state]
																												    * emission_probabilities[state][observation]
																												)
																												if probability > max_probability:
																																			snake_case_							=    probability
																																			snake_case_							=    k_state

            # Update probabilities and pointers dicts
																					snake_case_							=    (
																					    probabilities[(arg_max, prior_observation)]
																					    * transition_probabilities[arg_max][state]
																					    * emission_probabilities[state][observation]
																					)

																					snake_case_							=    arg_max

    # The final observation
							snake_case_							=    observations_space[len(UpperCamelCase__      ) - 1]

							# argmax for given final observation
							snake_case_							=    ''
							snake_case_							=    -1
							for k_state in states_space:
														snake_case_							=    probabilities[(k_state, final_observation)]
														if probability > max_probability:
																					snake_case_							=    probability
																					snake_case_							=    k_state
							snake_case_							=    arg_max

							# Process pointers backwards
							snake_case_							=    last_state
							snake_case_							=    []
							for o in range(len(UpperCamelCase__      ) - 1   ,							-1   ,							-1      ):
														result.append(UpperCamelCase__      )
														snake_case_							=    pointers[previous, observations_space[o]]
							result.reverse()

							return result





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							):







							'''simple docstring'''






							_validate_not_empty(
							    UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							)
							_validate_lists(UpperCamelCase__   ,							UpperCamelCase__      )
							_validate_dicts(
							    UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							):







							'''simple docstring'''






							if not all(
							    [
							        observations_space,
							        states_space,
							        initial_probabilities,
							        transition_probabilities,
							        emission_probabilities,
							    ]      ):
														raise ValueError('There\'s an empty parameter'      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							_validate_list(UpperCamelCase__   ,							'observations_space'      )
							_validate_list(UpperCamelCase__   ,							'states_space'      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							if not isinstance(_object   ,							UpperCamelCase__      ):
														snake_case_							=    F'''{var_name} must be a list'''
														raise ValueError(UpperCamelCase__      )
							else:
														for x in _object:
																					if not isinstance(UpperCamelCase__   ,							UpperCamelCase__      ):
																												snake_case_							=    F'''{var_name} must be a list of strings'''
																												raise ValueError(UpperCamelCase__      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							):







							'''simple docstring'''






							_validate_dict(UpperCamelCase__   ,							'initial_probabilities'   ,							UpperCamelCase__      )
							_validate_nested_dict(UpperCamelCase__   ,							'transition_probabilities'      )
							_validate_nested_dict(UpperCamelCase__   ,							'emission_probabilities'      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							_validate_dict(_object   ,							UpperCamelCase__   ,							UpperCamelCase__      )
							for x in _object.values():
														_validate_dict(UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__ = False      ):







							'''simple docstring'''






							if not isinstance(_object   ,							UpperCamelCase__      ):
														snake_case_							=    F'''{var_name} must be a dict'''
														raise ValueError(UpperCamelCase__      )
							if not all(isinstance(UpperCamelCase__   ,							UpperCamelCase__      ) for x in _object      ):
														snake_case_							=    F'''{var_name} all keys must be strings'''
														raise ValueError(UpperCamelCase__      )
							if not all(isinstance(UpperCamelCase__   ,							UpperCamelCase__      ) for x in _object.values()      ):
														snake_case_							=    'nested dictionary ' if nested else ''
														snake_case_							=    F'''{var_name} {nested_text}all values must be {value_type.__name__}'''
														raise ValueError(UpperCamelCase__      )


if __name__ == "__main__":
					from doctest import testmod

					testmod()







import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    1.5
							snake_case_							=    int(factor * num_class_images      )
							snake_case_							=    ClipClient(
							    url='https://knn.laion.ai/knn-service'   ,							indice_name='laion_400m'   ,							num_images=UpperCamelCase__   ,							aesthetic_weight=0.1      )

							os.makedirs(F'''{class_data_dir}/images'''   ,							exist_ok=UpperCamelCase__      )
							if len(list(Path(F'''{class_data_dir}/images'''      ).iterdir()      )      ) >= num_class_images:
														return

							while True:
														snake_case_							=    client.query(text=UpperCamelCase__      )
														if len(UpperCamelCase__      ) >= factor * num_class_images or num_images > 1E4:
																					break
														else:
																					snake_case_							=    int(factor * num_images      )
																					snake_case_							=    ClipClient(
																					    url='https://knn.laion.ai/knn-service'   ,							indice_name='laion_400m'   ,							num_images=UpperCamelCase__   ,							aesthetic_weight=0.1   ,							)

							snake_case_							=    0
							snake_case_							=    0
							snake_case_							=    tqdm(desc='downloading real regularization images'   ,							total=UpperCamelCase__      )

							with open(F'''{class_data_dir}/caption.txt'''   ,							'w'      ) as fa, open(F'''{class_data_dir}/urls.txt'''   ,							'w'      ) as fa, open(
							    F'''{class_data_dir}/images.txt'''   ,							'w'      ) as fa:
														while total < num_class_images:
																					snake_case_							=    class_images[count]
																					count += 1
																					try:
																												snake_case_							=    requests.get(images['url']      )
																												if img.status_code == 200:
																																			snake_case_							=    Image.open(BytesIO(img.content      )      )
																																			with open(F'''{class_data_dir}/images/{total}.jpg'''   ,							'wb'      ) as f:
																																										f.write(img.content      )
																																			fa.write(images['caption'] + '\n'      )
																																			fa.write(images['url'] + '\n'      )
																																			fa.write(F'''{class_data_dir}/images/{total}.jpg''' + '\n'      )
																																			total += 1
																																			pbar.update(1      )
																												else:
																																			continue
																					except Exception:
																												continue
							return





def 					__lowerCamelCase	( ):







							'''simple docstring'''






							snake_case_							=    argparse.ArgumentParser(''   ,							add_help=UpperCamelCase__      )
							parser.add_argument('--class_prompt'   ,							help='text prompt to retrieve images'   ,							required=UpperCamelCase__   ,							type=UpperCamelCase__      )
							parser.add_argument('--class_data_dir'   ,							help='path to save images'   ,							required=UpperCamelCase__   ,							type=UpperCamelCase__      )
							parser.add_argument('--num_class_images'   ,							help='number of images to download'   ,							default=200   ,							type=UpperCamelCase__      )
							return parser.parse_args()


if __name__ == "__main__":
					_UpperCAmelCase		:   Optional[int]										=       parse_args()
					retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)




