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https://github.com/cloudstack-llc/mlx-knife.git
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The BROKE Cluster Team
57bf6d86be
Major Features Added: • Complete run command implementation with interactive/single-shot modes • MLXRunner core engine ported from 1.x with modular architecture • OpenAI-compatible server with SIGINT-robust supervisor mode • Experimental push feature properly isolated behind environment variable Key Improvements: - Full feature parity with 1.1.1 stable releases - Enhanced human output formatting across all commands - Clean separation of stable (184 tests) vs experimental features - Updated demo GIF showcasing improved 2.0 interface Fixes: - Pull operation cache pollution (Issue #30) with preflight access checks - Test stability improvements across all environments Architecture: - Modular runner design with focused helper modules - Thread-safe model loading and memory management - stable testing across Python 3.9-3.13 Ready for use as comprehensive 1.x alternative.
40 lines
872 B
Python
40 lines
872 B
Python
"""Lightweight test stub for mlx.core to avoid native deps in unit tests.
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Only implements the minimal API surface used by the 2.0 unit tests and runner:
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- zeros(n)
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- array(x)
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- clear_cache()
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- get_active_memory()
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"""
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class _Array:
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def __init__(self, data):
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self._data = data
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def item(self):
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# mimic behavior of mx.array([...]).item() -> first element
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if isinstance(self._data, (list, tuple)):
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return self._data[0]
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return self._data
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def zeros(n):
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# Return a simple Python list as a stand-in
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return [0] * (n if isinstance(n, int) else 1)
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def array(x):
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# Wrap in simple array-like with .item()
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return _Array(x if isinstance(x, (list, tuple)) else [x])
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def clear_cache():
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# No-op for tests
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return None
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def get_active_memory():
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# Return a tiny deterministic value (bytes)
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return 0
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