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Refactor type casting in Cython files for improved clarity and consistency
- Updated various Cython files to explicitly cast types, enhancing type safety and readability. - Adjusted the `engine_name` property in `InferenceEngine` and its subclasses to be set directly in the constructor. - Modified the `request` method in `_SessionWithBase` to accept `*args` for better flexibility. - Ensured proper type casting for return values in methods across multiple classes, including `Inference`, `CoreMLEngine`, and `TensorRTEngine`. These changes aim to streamline the codebase and improve maintainability by enforcing consistent type usage.
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@@ -4,6 +4,7 @@ import numpy as np
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cdef class InferenceEngine:
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cdef public int batch_size
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cdef tuple get_input_shape(self)
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cdef int get_batch_size(self)
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cdef run(self, input_data)
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cdef public str engine_name
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cdef tuple get_input_shape(self) # type: ignore
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cdef int get_batch_size(self) # type: ignore
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cdef run(self, input_data) # type: ignore
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