ulpwise 0.3.4

• Regression corpus case for pytorch/rl #4504, merged upstream: MultiCategorical.to_one_hot iterated over self.nvec,
  a 2-D tensor for a spec with a batch shape, so one_hot got a tensor as num_classes and raised TypeError, and the
  0-D sample of a shape [1] spec raised IndexError on val[..., i]. The case one-hot encodes a sample of
  MultiCategorical([3, 2], shape=(4, 2)) and the scalar sample of MultiCategorical([5]).
• ulpwise scan: new dropout-never-applied rule (medium), the first that reads a whole file rather than one
  function: a Dropout, DropPath or a ModuleDict or ModuleList under a dropout name is assigned to self
  and then never called, never passed on, never returned or iterated and its rate never read, anywhere in the file.
  The option is accepted and does nothing, so the model trains without the regularisation it reports. peft #3830 is
  the example: OFTLayer built module_dropout into self.oft_dropout, filled it in update_layer and never
  called it. Reading the rate counts as use (scaled_dot_product_attention(dropout_p=self.dropout.p)), as does
  passing the module to another one; filling it does not, and subclasses of Sequential, which run every
  attribute, are not read. On kornia, ultralytics, torchvision, diffusers, torchrl, vllm and detectron2 main the
  rule reports nothing; on peft main it reports the #3830 line, on timm main one attn_drop in coat.py that a
  comment already calls unused, and on transformers main nine lines, four of them modular files whose forward
  lives in another file.