simplification of imports

[LemurPwned]

Summary by Sourcery

Simplify import statements by using contextlib to handle optional dependencies and update type hinting for a method parameter.

Enhancements:

• Simplify import statements by using contextlib to suppress ImportError for optional dependencies pysrt and spacy.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request simplifies imports and makes minor adjustments to improve code organization and type hinting. The changes focus on conditional imports, error handling, and type annotations.

Class diagram for updated imports and type hinting

classDiagram
    class KeywordCapture {
        +contextlib
        +collections
        +collections.abc
        +requests
        +requests.exceptions
        +pysrt
        +spacy
        +Color
        +console
    }
    class Gating {
        +_embed_frames(frames: list[Image.Image])
        +_get_margins(frame_embeds: "torch.Tensor")
    }
    KeywordCapture --> Gating : uses
    KeywordCapture : +subtitle_line
    Gating : +_embed_frames
    Gating : +_get_margins

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File-Level Changes

Change	Details	Files
Implement conditional imports for optional dependencies	Add contextlib import Move pysrt and spacy imports inside a contextlib.suppress(ImportError) block Remove direct imports of pysrt and spacy from the top of the file	video_sampler/language/keyword_capture.py
Improve type hinting	Add quotes around 'torch.Tensor' in the _get_margins method signature	video_sampler/gating.py

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[sourcery-ai]

Hey @LemurPwned - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider separating the suppressed imports for pysrt and spacy. This would allow for more granular error handling if one package is available but the other isn't.
• Can you clarify why the torch.Tensor type hint needed to be quoted? Is there a circular import issue, or is it not available at runtime?

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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