"""Pure-PyTorch stand-in for the parts of `mamba-ssm` that Mage-VL needs.
`microsoft/Mage-VL`'s remote code (`streammind_gate.py`) does
    from mamba_ssm.models.mixer_seq_simple import create_block
at module level, and `transformers.dynamic_module_utils.check_imports` imports
every top-level dependency of every remote file before it will load the model —
so `mamba_ssm` must be importable even though only the StreamMind cognition gate
uses it.
The real `mamba-ssm` ships CUDA extensions (`selective_scan_cuda`,
`causal_conv1d_cuda`) with no wheel for the ZeroGPU Blackwell (sm_120) /
torch-2.11 / cp312 runtime, and compiling them from source is not viable inside
a Space build. This package therefore provides a faithful pure-PyTorch port of
Mamba-1 (`mamba_ssm.modules.mamba_simple.Mamba` + `mamba_ssm.modules.block.Block`
with the defaults `create_block` uses: rms_norm=False, fused_add_norm=False,
residual_in_fp32=False, d_intermediate=0) built on the upstream
`selective_scan_ref` reference recurrence, with identical parameter names and
shapes so `streammind_gate.safetensors` loads with `strict=True`.
The gate runs over a handful of EPFE tokens (one per codec canvas), so the slow
sequential scan costs milliseconds — the CUDA kernel buys nothing here.
"""

__version__ = "2.2.6.mage-vl-pure-torch"