fix ruff lint

src/gluonts/core/component.py

@@ -132,7 +132,7 @@ def equals_default_impl(this: Any, that: Any) -> bool:
  A boolean value indicating whether ``this`` and ``that`` are
  structurally equal.
  """
- if type(this) != type(that):
+ if type(this) is not type(that):
  return False
 
  if hasattr(this, "__init_args__") and hasattr(that, "__init_args__"):

src/gluonts/dataset/arrow/dec.py

@@ -42,7 +42,7 @@ def decode_batch(self, batch):
  )
 
  for name, value in row.items():
- if type(value) == np.ndarray and value.dtype == object:
+ if type(value) is np.ndarray and value.dtype == object:
  row[name] = np.stack(value)
 
  yield row

src/gluonts/mx/component.py

@@ -58,7 +58,7 @@ def equals_parameter_dict(
  equals
  Dispatching function.
  """
- if type(this) != type(that):
+ if type(this) is not type(that):
  return False
 
  def strip_prefix_enumeration(key, prefix):

src/gluonts/mx/model/n_beats/_ensemble.py

@@ -215,7 +215,7 @@ def __eq__(self, that):
  if this returns false if for some reason the order of the predictors
  list has been altered.
  """
- if type(self) != type(that):
+ if type(self) is not type(that):
  return False
 
  try:

src/gluonts/mx/model/predictor.py

@@ -174,7 +174,7 @@ def predict(
  )
 
  def __eq__(self, that):
- if type(self) != type(that):
+ if type(self) is not type(that):
  return False
 
  if not equals(self.prediction_length, that.prediction_length):

src/gluonts/testutil/equality.py

@@ -65,7 +65,7 @@ def assert_recursively_close(
 
 
 def _assert_recursively_close(obj_a, obj_b, location, *args, **kwargs):
- assert type(obj_a) == type(
+ assert type(obj_a) is type(
  obj_b
  ), f"types don't match (at {location}) {type(obj_a)} != {type(obj_b)}"
  if isinstance(obj_a, (str, int)):

src/gluonts/torch/model/deep_npts/_network.py

@@ -39,7 +39,7 @@
 
 
 def init_weights(module: nn.Module, scale: float = 1.0):
- if type(module) == nn.Linear:
+ if type(module) is nn.Linear:
  nn.init.uniform_(module.weight, -scale, scale)
  nn.init.zeros_(module.bias)
 

src/gluonts/zebras/_time_series.py

@@ -98,7 +98,7 @@ def pad(self, value, left: int = 0, right: int = 0) -> TimeSeries:
  @staticmethod
  def _batch(xs: List[TimeSeries]) -> BatchTimeSeries:
  for series in xs:
- assert type(series) == TimeSeries
+ assert type(series) is TimeSeries
 
  pluck = pluck_attr(xs)