


'''simple docstring'''
import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


UpperCamelCase__    					=      HUGGINGFACE_HUB_CACHE


UpperCamelCase__    					=      '''config.json'''
UpperCamelCase__    					=      '''diffusion_pytorch_model.bin'''
UpperCamelCase__    					=      '''diffusion_flax_model.msgpack'''
UpperCamelCase__    					=      '''model.onnx'''
UpperCamelCase__    					=      '''diffusion_pytorch_model.safetensors'''
UpperCamelCase__    					=      '''weights.pb'''
UpperCamelCase__    					=      '''https://huggingface.co'''
UpperCamelCase__    					=      default_cache_path
UpperCamelCase__    					=      '''diffusers_modules'''
UpperCamelCase__    					=      os.getenv('''HF_MODULES_CACHE''', os.path.join(hf_cache_home, '''modules'''))
UpperCamelCase__    					=      ['''fp16''', '''non-ema''']
UpperCamelCase__    					=      '''.self_attn'''




'''simple docstring'''
import re

from filelock import FileLock


try:
  import nltk

  UpperCamelCase__    					=      True
except (ImportError, ModuleNotFoundError):
  UpperCamelCase__    					=      False

if NLTK_AVAILABLE:
  with FileLock('''.lock''') as lock:
    nltk.download('''punkt''', quiet=True)





def 					a__       (					lowerCAmelCase__						)    ->	str:
    re.sub('''<n>'''  ,					''''''  ,					lowerCAmelCase__						)  # remove pegasus newline char
    assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
    return "\n".join(nltk.sent_tokenize(lowerCAmelCase__						)						)
