benchmarks/temporal_decay_prototype.py:176:67: invalid-argument-type: Argument to function `requantize_3to2` is incorrect: Expected `int | float`, found `floating[Any]` benchmarks/temporal_decay_prototype.py:93:5: info: Function defined here benchmarks/temporal_decay_prototype.py:93:47: Parameter declared here

benchmarks/temporal_decay_prototype.py:172:67: invalid-argument-type: Argument to function `dequantize_2bit` is incorrect: Expected `int | float`, found `floating[Any]` benchmarks/temporal_decay_prototype.py:82:5: info: Function defined here benchmarks/temporal_decay_prototype.py:82:42: Parameter declared here

benchmarks/temporal_decay_prototype.py:167:60: invalid-argument-type: Argument to function `dequantize_3bit` is incorrect: Expected `int | float`, found `floating[Any]` benchmarks/temporal_decay_prototype.py:70:5: info: Function defined here benchmarks/temporal_decay_prototype.py:70:42: Parameter declared here

benchmarks/temporal_decay_prototype.py:125:12: invalid-return-type: Return type does not match returned value: expected `tuple[ndarray[Unknown, Unknown], int | float]`, found `tuple[ndarray[Unknown, Unknown], Unknown | floating[Any] | float]` benchmarks/temporal_decay_prototype.py:93:68: Expected `tuple[ndarray[Unknown, Unknown], int | float]` because of return type info: the second tuple element is not compatible: `Unknown | floating[Any] | float` is not assignable to `int | float` info: └── element `floating[Any]` of union `Unknown | floating[Any] | float` is not assignable to `int | float`

benchmarks/benchmark_ppl_tq_vs_rq.py:218:17: call-non-callable: Object of type `None` is not callable info: Union variant `None` is incompatible with this call site info: Attempted to call union type `Unknown | TokenizersBackend | None | SentencePieceBackend`

benchmarks/benchmark_ppl_tq_vs_rq.py:211:10: invalid-argument-type: Argument to bound method `_Wrapped.__call__` is incorrect: Expected `PreTrainedModel`, found `Literal["mps", "cpu"]` info: element `Literal["mps"]` of union `Literal["mps", "cpu"]` is not assignable to `PreTrainedModel` stdlib/functools.pyi:181:9: info: Method defined here stdlib/functools.pyi:181:24: Parameter declared here info: Union variant `_Wrapped[Overload[(self, device: str | device | int | None = ..., dtype: dtype | None = ..., non_blocking: bool = ...) -> Unknown, (self, dtype: dtype, non_blocking: bool = ...) -> Unknown, (self, tensor: Tensor, non_blocking: bool = ...) -> Unknown], _BaseModelWithGenerate, (self, *args, **kwargs), Unknown]` is incompatible with this call site info: Attempted to call union type `Unknown | _Wrapped[Overload[(self, device: str | device | int | None = ..., dtype: dtype | None = ..., non_blocking: bool = ...) -> Unknown, (self, dtype: dtype, non_blocking: bool = ...) -> Unknown, (self, tensor: Tensor, non_blocking: bool = ...) -> Unknown], _BaseModelWithGenerate, (self, *args, **kwargs), Unknown]`

benchmarks/benchmark_ppl_tq_vs_rq.py:25:6: unresolved-import: Cannot resolve imported module `turboquant.rotorquant_numpy` info: Searched in the following paths during module resolution: info: 1. /home/runner/work/llama.cpp/llama.cpp/gguf-py (extra search path specified on the CLI or in your config file) info: 2. /home/runner/work/llama.cpp/llama.cpp/examples/model-conversion/scripts (extra search path specified on the CLI or in your config file) info: 3. /home/runner/work/llama.cpp/llama.cpp/tools/server/tests (extra search path specified on the CLI or in your config file) info: 4. /home/runner/work/llama.cpp/llama.cpp/scripts/snapdragon/qdc/tests (extra search path specified on the CLI or in your config file) info: 5. /home/runner/work/llama.cpp/llama.cpp/src (first-party code) info: ... and 3 more paths. Run with `-v` to see all paths. info: make sure your Python environment is properly configured: https://docs.astral.sh/ty/modules/#python-environment

benchmarks/benchmark_norm_correction.py:201:17: call-non-callable: Object of type `None` is not callable info: Union variant `None` is incompatible with this call site info: Attempted to call union type `Unknown | TokenizersBackend | None | SentencePieceBackend`

benchmarks/benchmark_norm_correction.py:191:10: invalid-argument-type: Argument to bound method `_Wrapped.__call__` is incorrect: Expected `PreTrainedModel`, found `Literal["mps", "cpu"]` info: element `Literal["mps"]` of union `Literal["mps", "cpu"]` is not assignable to `PreTrainedModel` stdlib/functools.pyi:181:9: info: Method defined here stdlib/functools.pyi:181:24: Parameter declared here info: Union variant `_Wrapped[Overload[(self, device: str | device | int | None = ..., dtype: dtype | None = ..., non_blocking: bool = ...) -> Unknown, (self, dtype: dtype, non_blocking: bool = ...) -> Unknown, (self, tensor: Tensor, non_blocking: bool = ...) -> Unknown], _BaseModelWithGenerate, (self, *args, **kwargs), Unknown]` is incompatible with this call site info: Attempted to call union type `Unknown | _Wrapped[Overload[(self, device: str | device | int | None = ..., dtype: dtype | None = ..., non_blocking: bool = ...) -> Unknown, (self, dtype: dtype, non_blocking: bool = ...) -> Unknown, (self, tensor: Tensor, non_blocking: bool = ...) -> Unknown], _BaseModelWithGenerate, (self, *args, **kwargs), Unknown]`