





"""simple docstring"""
from __future__ import annotations

import random

# Maximum size of the population.  Bigger could be faster but is more memory expensive.
__UpperCamelCase     :						Optional[Any]						       =  200
# Number of elements selected in every generation of evolution. The selection takes
# place from best to worst of that generation and must be smaller than N_POPULATION.
__UpperCamelCase     :						Dict						       =  50
# Probability that an element of a generation can mutate, changing one of its genes.
# This will guarantee that all genes will be used during evolution.
__UpperCamelCase     :						Optional[int]						       =  0.4
# Just a seed to improve randomness required by the algorithm.
random.seed(random.randint(0, 1000))

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str  ,     _UpperCAmelCase					:    str			):
 lowerCAmelCase    				= len([g for position, g in enumerate(_UpperCAmelCase			) if g == main_target[position]]			)
 return (item, float(_UpperCAmelCase			))

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str  ,     _UpperCAmelCase					:    str			):
 lowerCAmelCase    				= random.randint(0  ,     len(_UpperCAmelCase			) - 1			)
 lowerCAmelCase    				= parent_a[:random_slice] + parent_a[random_slice:]
 lowerCAmelCase    				= parent_a[:random_slice] + parent_a[random_slice:]
 return (child_a, child_a)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str  ,     _UpperCAmelCase					:    list[str]			):
 lowerCAmelCase    				= list(_UpperCAmelCase			)
 if random.uniform(0  ,     1			) < MUTATION_PROBABILITY:
  lowerCAmelCase    				= random.choice(_UpperCAmelCase			)
 return "".join(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    tuple[str, float]  ,     _UpperCAmelCase					:    list[tuple[str, float]]  ,     _UpperCAmelCase					:    list[str]  ,     ):
 lowerCAmelCase    				= []
 # Generate more children proportionally to the fitness score.
 lowerCAmelCase    				= int(parent_a[1] * 100			) + 1
 lowerCAmelCase    				= 10 if child_n >= 10 else child_n
 for _ in range(_UpperCAmelCase			):
  lowerCAmelCase    				= population_score[random.randint(0  ,     _UpperCAmelCase			)][0]

  lowerCAmelCase				,lowerCAmelCase    				= crossover(parent_a[0]  ,     _UpperCAmelCase			)
  # Append new string to the population list.
  pop.append(mutate(_UpperCAmelCase  ,     _UpperCAmelCase			)			)
  pop.append(mutate(_UpperCAmelCase  ,     _UpperCAmelCase			)			)
 return pop

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str  ,     _UpperCAmelCase					:    list[str]  ,     _UpperCAmelCase					:    bool = True			):

 # Verify if N_POPULATION is bigger than N_SELECTED
 if N_POPULATION < N_SELECTED:
  lowerCAmelCase    				= F'{N_POPULATION} must be bigger than {N_SELECTED}'
  raise ValueError(_UpperCAmelCase			)
 # Verify that the target contains no genes besides the ones inside genes variable.
 lowerCAmelCase    				= sorted({c for c in target if c not in genes}			)
 if not_in_genes_list:
  lowerCAmelCase    				= F'{not_in_genes_list} is not in genes list, evolution cannot converge'
  raise ValueError(_UpperCAmelCase			)

 # Generate random starting population.
 lowerCAmelCase    				= []
 for _ in range(_UpperCAmelCase			):
  population.append(''.join([random.choice(_UpperCAmelCase			) for i in range(len(_UpperCAmelCase			)			)]			)			)

 # Just some logs to know what the algorithms is doing.
 lowerCAmelCase				,lowerCAmelCase    				= 0, 0

 # This loop will end when we find a perfect match for our target.
 while True:
  generation += 1
  total_population += len(_UpperCAmelCase			)

  # Random population created. Now it's time to evaluate.

  # Adding a bit of concurrency can make everything faster,
  #
  # import concurrent.futures
  # population_score: list[tuple[str, float]] = []
  # with concurrent.futures.ThreadPoolExecutor(
  #                                   max_workers=NUM_WORKERS) as executor:
  #     futures = {executor.submit(evaluate, item) for item in population}
  #     concurrent.futures.wait(futures)
  #     population_score = [item.result() for item in futures]
  #
  # but with a simple algorithm like this, it will probably be slower.
  # We just need to call evaluate for every item inside the population.
  lowerCAmelCase    				= [evaluate(_UpperCAmelCase  ,     _UpperCAmelCase			) for item in population]

  # Check if there is a matching evolution.
  lowerCAmelCase    				= sorted(_UpperCAmelCase  ,     key=lambda _UpperCAmelCase			: x[1]  ,     reverse=_UpperCAmelCase			)
  if population_score[0][0] == target:
   return (generation, total_population, population_score[0][0])

  # Print the best result every 10 generation.
  # Just to know that the algorithm is working.
  if debug and generation % 10 == 0:
   print(
       F'\nGeneration: {generation}'
       F'\nTotal Population:{total_population}'
       F'\nBest score: {population_score[0][1]}'
       F'\nBest string: {population_score[0][0]}'			)

  # Flush the old population, keeping some of the best evolutions.
  # Keeping this avoid regression of evolution.
  lowerCAmelCase    				= population[: int(N_POPULATION / 3			)]
  population.clear()
  population.extend(_UpperCAmelCase			)
  # Normalize population score to be between 0 and 1.
  lowerCAmelCase    				= [
      (item, score / len(_UpperCAmelCase			)) for item, score in population_score
  ]

  # This is selection
  for i in range(_UpperCAmelCase			):
   population.extend(select(population_score[int(_UpperCAmelCase			)]  ,     _UpperCAmelCase  ,     _UpperCAmelCase			)			)
   # Check if the population has already reached the maximum value and if so,
   # break the cycle.  If this check is disabled, the algorithm will take
   # forever to compute large strings, but will also calculate small strings in
   # a far fewer generations.
   if len(_UpperCAmelCase			) > N_POPULATION:
    break


if __name__ == "__main__":
       __UpperCamelCase     :						List[Any]						       =  (
           '''This is a genetic algorithm to evaluate, combine, evolve, and mutate a string!'''
       )
       __UpperCamelCase     :						str						       =  list(
           ''' ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklm'''
           '''nopqrstuvwxyz.,;!?+-*#@^\'èéòà€ù=)(&%$£/\\'''
       )
       __UpperCamelCase       ,__UpperCamelCase       ,__UpperCamelCase     :						Any						       =  basic(target_str, genes_list)
       print(
           f'''\nGeneration: {generation}\nTotal Population: {population}\nTarget: {target}'''
       )












"""simple docstring"""
import argparse
import os
import re

import packaging.version


__UpperCamelCase     :						Union[str, Any]						       =  '''examples/'''
__UpperCamelCase     :						str						       =  {
    '''examples''': (re.compile(R'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(R'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(R'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), R'''\1version="VERSION",'''),
    '''doc''': (re.compile(R'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
__UpperCamelCase     :						List[str]						       =  {
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
__UpperCamelCase     :						Optional[int]						       =  '''README.md'''

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Any  ,     _UpperCAmelCase					:    Dict  ,     _UpperCAmelCase					:    Any			):
 with open(_UpperCAmelCase  ,     'r'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  lowerCAmelCase    				= f.read()
 lowerCAmelCase				,lowerCAmelCase    				= REPLACE_PATTERNS[pattern]
 lowerCAmelCase    				= replace.replace('VERSION'  ,     _UpperCAmelCase			)
 lowerCAmelCase    				= re_pattern.sub(_UpperCAmelCase  ,     _UpperCAmelCase			)
 with open(_UpperCAmelCase  ,     'w'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  f.write(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Union[str, Any]			):
 for folder, directories, fnames in os.walk(_UpperCAmelCase			):
  # Removing some of the folders with non-actively maintained examples from the walk
  if "research_projects" in directories:
   directories.remove('research_projects'			)
  if "legacy" in directories:
   directories.remove('legacy'			)
  for fname in fnames:
   if fname.endswith('.py'			):
    update_version_in_file(os.path.join(_UpperCAmelCase  ,     _UpperCAmelCase			)  ,     _UpperCAmelCase  ,     pattern='examples'			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    List[str]  ,     _UpperCAmelCase					:    Dict=False			):
 for pattern, fname in REPLACE_FILES.items():
  update_version_in_file(_UpperCAmelCase  ,     _UpperCAmelCase  ,     _UpperCAmelCase			)
 if not patch:
  update_version_in_examples(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			():
 lowerCAmelCase    				= '🤗 Transformers currently provides the following architectures'
 lowerCAmelCase    				= '1. Want to contribute a new model?'
 with open(_UpperCAmelCase  ,     'r'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  lowerCAmelCase    				= f.readlines()

 # Find the start of the list.
 lowerCAmelCase    				= 0
 while not lines[start_index].startswith(_start_prompt			):
  start_index += 1
 start_index += 1

 lowerCAmelCase    				= start_index
 # Update the lines in the model list.
 while not lines[index].startswith(_end_prompt			):
  if lines[index].startswith('1.'			):
   lowerCAmelCase    				= lines[index].replace(
       'https://huggingface.co/docs/transformers/main/model_doc'  ,     'https://huggingface.co/docs/transformers/model_doc'  ,     )
  index += 1

 with open(_UpperCAmelCase  ,     'w'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  f.writelines(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			():
 with open(REPLACE_FILES['init']  ,     'r'			) as f:
  lowerCAmelCase    				= f.read()
 lowerCAmelCase    				= REPLACE_PATTERNS['init'][0].search(_UpperCAmelCase			).groups()[0]
 return packaging.version.parse(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Tuple=False			):
 lowerCAmelCase    				= get_version()
 if patch and default_version.is_devrelease:
  raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'			)
 if default_version.is_devrelease:
  lowerCAmelCase    				= default_version.base_version
 elif patch:
  lowerCAmelCase    				= F'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
 else:
  lowerCAmelCase    				= F'{default_version.major}.{default_version.minor + 1}.0'

 # Now let's ask nicely if that's the right one.
 lowerCAmelCase    				= input(F'Which version are you releasing? [{default_version}]'			)
 if len(_UpperCAmelCase			) == 0:
  lowerCAmelCase    				= default_version

 print(F'Updating version to {version}.'			)
 global_version_update(_UpperCAmelCase  ,     patch=_UpperCAmelCase			)
 if not patch:
  print('Cleaning main README, don\'t forget to run `make fix-copies`.'			)
  clean_main_ref_in_model_list()

def 		_SCREAMING_SNAKE_CASE			():
 lowerCAmelCase    				= get_version()
 lowerCAmelCase    				= F'{current_version.major}.{current_version.minor + 1}.0.dev0'
 lowerCAmelCase    				= current_version.base_version

 # Check with the user we got that right.
 lowerCAmelCase    				= input(F'Which version are we developing now? [{dev_version}]'			)
 if len(_UpperCAmelCase			) == 0:
  lowerCAmelCase    				= dev_version

 print(F'Updating version to {version}.'			)
 global_version_update(_UpperCAmelCase			)
 print('Cleaning main README, don\'t forget to run `make fix-copies`.'			)
 clean_main_ref_in_model_list()


if __name__ == "__main__":
       __UpperCamelCase     :						Optional[int]						       =  argparse.ArgumentParser()
       parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
       parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
       __UpperCamelCase     :						Optional[int]						       =  parser.parse_args()
       if not args.post_release:
              pre_release_work(patch=args.patch)
       elif args.patch:
              print('''Nothing to do after a patch :-)''')
       else:
              post_release_work()





