Fix typo: 'lenght' to 'length'

src/transformers/generation/continuous_batching.py

@@ -132,7 +132,7 @@ def update_with_token(self, token_id: int) -> bool:
         return False
 
     def __repr__(self):
-        return f"RequestState(\n\trequest_id={self.request_id},\n\tstatus={self.status},\n\tout_tokens={self.generated_len()},\n\tquery_length={len(self.prompt_ids)}, \n\tremaining_tokens={len(self.remaining_prompt_ids)}, \n\tkv_length={self.position_offset}\n\tfull_prompt_lenght={len(self.full_prompt_ids)},\n\tallocated_blocks={self.allocated_blocks},\n\tgenerated_tokens={self.static_outputs}\n)"
+        return f"RequestState(\n\trequest_id={self.request_id},\n\tstatus={self.status},\n\tout_tokens={self.generated_len()},\n\tquery_length={len(self.prompt_ids)}, \n\tremaining_tokens={len(self.remaining_prompt_ids)}, \n\tkv_length={self.position_offset}\n\tfull_prompt_length={len(self.full_prompt_ids)},\n\tallocated_blocks={self.allocated_blocks},\n\tgenerated_tokens={self.static_outputs}\n)"
 
     def to_generation_output(self):
         """Convert the request state to a GenerationOutput object."""

src/transformers/models/mimi/modeling_mimi.py

@@ -314,10 +314,10 @@ def _get_output_length(self, input_length: torch.LongTensor) -> torch.LongTensor
         input_length = input_length + padding_left + padding_right
 
         # conv
-        output_lenght = (
+        output_length = (
             input_length + 2 * self.conv.padding[0] - self.conv.dilation[0] * (self.conv.kernel_size[0] - 1) - 1
         ) // self.conv.stride[0] + 1
-        return output_lenght
+        return output_length
 
     def forward(self, hidden_states, padding_cache=None):
         extra_padding = self._get_extra_padding_for_conv1d(hidden_states)

tests/models/kyutai_speech_to_text/test_modeling_kyutai_speech_to_text.py

@@ -717,7 +717,7 @@ def test_generation(self):
         reproduce test expected outputs using original codebase: https://gist.github.com/eustlb/7a9aa6139d11e0103c6b65bac103da52
 
         DISCLAIMER: we are testing for pretty short inputs. Indeed, reproducing correct expected outputs for longer is not possible
-        as implementation choices (qkv matrix in one linear for original code vs three for hf) create growing divergence with context lenght,
+        as implementation choices (qkv matrix in one linear for original code vs three for hf) create growing divergence with context length,
         ultimately giving different outputs.
         """
         processor = KyutaiSpeechToTextProcessor.from_pretrained(self.model_checkpoint)
@@ -747,7 +747,7 @@ def test_generation_batched(self):
         reproduce test expected outputs using original codebase: https://gist.github.com/eustlb/b58c217c75124d405ec1c13877c7ece8
 
         DISCLAIMER: we are testing for pretty short inputs. Indeed, reproducing correct expected outputs for longer is not possible
-        as implementation choices (qkv matrix in one linear for original code vs three for hf) create growing divergence with context lenght,
+        as implementation choices (qkv matrix in one linear for original code vs three for hf) create growing divergence with context length,
         ultimately giving different outputs.
         """
         processor = KyutaiSpeechToTextProcessor.from_pretrained(self.model_checkpoint)