init

myresources/crocodile/core.py

@@ -89,7 +89,9 @@ def toml(obj: dict[Any, Any], path: PLike, encoding: str = 'utf-8'): return Path
  @staticmethod
  @save_decorator(".ini")
  def ini(obj: dict[Any, Any], path: PLike, **kwargs: Any):
- conf = install_n_import("configparser").ConfigParser()
+ # conf = install_n_import("configparser").ConfigParser()
+ import configparser
+ conf = configparser.ConfigParser()
  conf.read_dict(obj)
  with open(path, 'w', encoding="utf-8") as configfile: conf.write(configfile, **kwargs)
  @staticmethod

myresources/crocodile/deeplearning.py

@@ -392,8 +392,10 @@ def compile(self, loss: Optional[Any] = None, optimizer: Optional[Any] = None, m
  print(f"💥 Error while compiling the model.")
  pass
 
- def fit(self, viz: bool = True, weight_name: Optional[str] = None,
- val_sample_weight: Optional['npt.NDArray[np.float64]'] = None, sample_weight: Optional['npt.NDArray[np.float64]'] = None,
+ def fit(self, viz: bool = True,
+ weight_name: Optional[str] = None,
+ val_sample_weight: Optional['npt.NDArray[np.float64]'] = None,
+ sample_weight: Optional['npt.NDArray[np.float64]'] = None,
  verbose: Union[int, str] = "auto", callbacks: Optional[list[Any]] = None,
  validation_freq: int = 1,
  **kwargs: Any):
@@ -408,12 +410,12 @@ def fit(self, viz: bool = True, weight_name: Optional[str] = None,
  train_weight_str = self.data.specs.get_split_names(names=[weight_name], which_split="train")[0]
  sample_weight = self.data.split[train_weight_str]
  else:
- print(f"⚠️ sample_weight is passed directly to `fit` method, ignoring `weight_string` argument.")
+ print(f"⚠️ sample_weight is passed directly to `fit` method, ignoring `weight_name` argument.")
  if val_sample_weight is None:
  test_weight_str = self.data.specs.get_split_names(names=[weight_name], which_split="test")[0]
  val_sample_weight = self.data.split[test_weight_str]
  else:
- print(f"⚠️ val_sample_weight is passed directly to `fit` method, ignoring `weight_string` argument.")
+ print(f"⚠️ val_sample_weight is passed directly to `fit` method, ignoring `weight_name` argument.")
 
  x_test = x_test[0] if len(x_test) == 1 else x_test
  y_test = y_test[0] if len(y_test) == 1 else y_test

myresources/crocodile/file_management.py

@@ -129,11 +129,11 @@ def yaml(path: PLike, r: bool = False) -> Any: # return could be list or dict e
  _ = r
  return mydict
  @staticmethod
- def ini(path: PLike):
+ def ini(path: PLike, encoding: Optional[str] = None):
  if not Path(path).exists() or Path(path).is_dir(): raise FileNotFoundError(f"File not found: {path}")
  import configparser
  res = configparser.ConfigParser()
- res.read(filenames=[str(path)])
+ res.read(filenames=[str(path)], encoding=encoding)
  return res
  @staticmethod
  def toml(path: PLike): return install_n_import("tomli").loads(P(path).read_text())
@@ -466,7 +466,7 @@ def write_bytes(self, data: bytes, overwrite: bool = False) -> 'P':
  if res == 0: raise RuntimeError(f"Could not save file on disk.")
  return self
  def touch(self, mode: int = 0o666, parents: bool = True, exist_ok: bool = True) -> 'P': # pylint: disable=W0237
- if parents: self.parent.create(parents=parents) 
+ if parents: self.parent.create(parents=parents)
  super(P, self).touch(mode=mode, exist_ok=exist_ok)
  return self
  def symlink_from(self, src_folder: OPLike = None, src_file: OPLike = None, verbose: bool = False, overwrite: bool = False):