| ---
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| license: mit
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| tags:
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| - pytorch
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| - safetensors
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| - threshold-logic
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| - neuromorphic
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| ---
|
|
|
| # threshold-7segment
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|
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| BCD to 7-segment display decoder.
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|
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| ## Function
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|
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| segment_decode(B3, B2, B1, B0) -> {a, b, c, d, e, f, g}
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| Converts 4-bit BCD input (0-9) to 7 segment control signals.
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|
|
| ## Segment Layout
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|
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| ```
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| aaa
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| f b
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| ggg
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| e c
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| ddd
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| ```
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|
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| ## Digit Patterns
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| | Digit | a | b | c | d | e | f | g | Display |
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| |-------|---|---|---|---|---|---|---|---------|
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| | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | `0` |
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| | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | `1` |
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| | 2 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | `2` |
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| | 3 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | `3` |
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| | 4 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | `4` |
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| | 5 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | `5` |
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| | 6 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | `6` |
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| | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | `7` |
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| | 8 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | `8` |
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| | 9 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | `9` |
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|
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| ## Architecture
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|
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| Two-layer design:
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|
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| ```
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| B3,B2,B1,B0 ─► [d0] ─┐
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| [d1] ─┤
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| [d2] ─┤ [OR] ─► a
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| [d3] ─┼─────► [OR] ─► b
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| [d4] ─┤ [OR] ─► c
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| [d5] ─┤ [OR] ─► d
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| [d6] ─┤ [OR] ─► e
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| [d7] ─┤ [OR] ─► f
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| [d8] ─┤ [OR] ─► g
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| [d9] ─┘
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| ```
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|
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| Layer 1: 10 digit detectors (pattern matchers)
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| Layer 2: 7 OR gates combining relevant digits for each segment
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|
|
| ## Parameters
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|
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| | | |
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| |---|---|
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| | Inputs | 4 |
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| | Outputs | 7 |
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| | Neurons | 17 |
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| | Layers | 2 |
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| | Parameters | 127 |
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| | Magnitude | 111 |
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|
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| ## Usage
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|
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| ```python
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| from safetensors.torch import load_file
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| # Full implementation in model.py
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|
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| # Example: Display digit 5
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| # result = segment_decode(0, 1, 0, 1, weights)
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| # -> {'a':1, 'b':0, 'c':1, 'd':1, 'e':0, 'f':1, 'g':1}
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| ```
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|
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| ## License
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|
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| MIT
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| |
