





import copy
import re





class  lowerCAmelCase							:
  __lowerCamelCase		=      """hp"""
  __lowerCamelCase		=      {}
  __lowerCamelCase		=      None







  @classmethod
  def   UpperCAmelCase					(      cls  :Optional[int]   ,							_lowercase  :int   ,							_lowercase  :int ):






     '''simple docstring'''





     lowercase__			       =  prefix
     lowercase__			       =  defaults
     cls.build_naming_info()







  @staticmethod
  def   UpperCAmelCase					(      _lowercase  :Optional[int]   ,							_lowercase  :Dict ):






     '''simple docstring'''





     if len(lowerCAmelCase__ ) == 0:
        return ""
     lowercase__			       =  None
     if any(char.isdigit() for char in word ):
        raise Exception(f'''Parameters should not contain numbers: \'{word}\' contains a number''' )
     if word in info["short_word"]:
        return info["short_word"][word]
     for prefix_len in range(1   ,							len(lowerCAmelCase__ ) + 1 ):
        lowercase__			       =  word[:prefix_len]
        if prefix in info["reverse_short_word"]:
           continue
        else:
           lowercase__			       =  prefix
           break

     if short_word is None:
        # Paranoid fallback
        def int_to_alphabetic(_lowercase  :Any ):
           lowercase__			       =  ""
           while integer != 0:
              lowercase__			       =  chr(ord("A" ) + integer % 10 ) + s
              integer //= 10
           return s

        lowercase__			       =  0
        while True:
           lowercase__			       =  word + "#" + int_to_alphabetic(lowerCAmelCase__ )
           if sword in info["reverse_short_word"]:
              continue
           else:
              lowercase__			       =  sword
              break

     lowercase__			       =  short_word
     lowercase__			       =  word
     return short_word







  @staticmethod
  def   UpperCAmelCase					(      _lowercase  :str   ,							_lowercase  :Optional[int] ):






     '''simple docstring'''





     lowercase__			       =  param_name.split("_" )

     lowercase__			       =  [TrialShortNamer.shortname_for_word(lowerCAmelCase__   ,							lowerCAmelCase__ ) for word in words]

     # We try to create a separatorless short name, but if there is a collision we have to fallback
     # to a separated short name
     lowercase__			       =  ["", "_"]

     for separator in separators:
        lowercase__			       =  separator.join(lowerCAmelCase__ )
        if shortname not in info["reverse_short_param"]:
           lowercase__			       =  shortname
           lowercase__			       =  param_name
           return shortname

     return param_name







  @staticmethod
  def   UpperCAmelCase					(      _lowercase  :str   ,							_lowercase  :str ):






     '''simple docstring'''





     lowercase__			       =  TrialShortNamer.shortname_for_key(lowerCAmelCase__   ,							lowerCAmelCase__ )
     lowercase__			       =  short_name
     lowercase__			       =  param_name







  @classmethod
  def   UpperCAmelCase					(      cls  :Tuple ):






     '''simple docstring'''





     if cls.NAMING_INFO is not None:
        return

     lowercase__			       =  {
         "short_word": {},
         "reverse_short_word": {},
         "short_param": {},
         "reverse_short_param": {},
     }

     lowercase__			       =  list(cls.DEFAULTS.keys() )

     for k in field_keys:
        cls.add_new_param_name(lowerCAmelCase__   ,							lowerCAmelCase__ )

     lowercase__			       =  info







  @classmethod
  def   UpperCAmelCase					(      cls  :Optional[Any]   ,							_lowercase  :List[Any] ):






     '''simple docstring'''





     cls.build_naming_info()
     assert cls.PREFIX is not None
     lowercase__			       =  [copy.copy(cls.PREFIX )]

     for k, v in params.items():
        if k not in cls.DEFAULTS:
           raise Exception(f'''You should provide a default value for the param name {k} with value {v}''' )
        if v == cls.DEFAULTS[k]:
           # The default value is not added to the name
           continue

        lowercase__			       =  cls.NAMING_INFO["short_param"][k]

        if isinstance(lowerCAmelCase__   ,							lowerCAmelCase__ ):
           lowercase__			       =  1 if v else 0

        lowercase__			       =  "" if isinstance(lowerCAmelCase__   ,							(int, float) ) else "-"
        lowercase__			       =  f'''{key}{sep}{v}'''
        name.append(lowerCAmelCase__ )

     return "_".join(lowerCAmelCase__ )







  @classmethod
  def   UpperCAmelCase					(      cls  :int   ,							_lowercase  :Optional[int] ):






     '''simple docstring'''





     lowercase__			       =  repr[len(cls.PREFIX ) + 1 :]
     if repr == "":
        lowercase__			       =  []
     else:
        lowercase__			       =  repr.split("_" )

     lowercase__			       =  {}

     for value in values:
        if "-" in value:
           lowercase__       ,							lowercase__			       =  value.split("-" )
        else:
           lowercase__			       =  re.sub("[0-9.]"   ,							""   ,							lowerCAmelCase__ )
           lowercase__			       =  float(re.sub("[^0-9.]"   ,							""   ,							lowerCAmelCase__ ) )

        lowercase__			       =  cls.NAMING_INFO["reverse_short_param"][p_k]

        lowercase__			       =  p_v

     for k in cls.DEFAULTS:
        if k not in parameters:
           lowercase__			       =  cls.DEFAULTS[k]

     return parameters













from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case           =			{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case           =			[
      """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """AutoformerForPrediction""",
      """AutoformerModel""",
      """AutoformerPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_autoformer import (
      AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      AutoformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_autoformer import (
        AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        AutoformerForPrediction,
        AutoformerModel,
        AutoformerPreTrainedModel,
    )

else:
  import sys

  _snake_case           =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






