Code for "Cold Dark Matter Cannot Supply Local Dissipative Friction to Dark Energy: A Structural No-Go from the Influence Kernel"

Self-contained Python scripts reproducing every numerical claim of the manuscript "Cold Dark Matter Cannot Supply Local Dissipative Friction to Dark Energy: A Structural No-Go from the Influence Kernel" (E. Behenck, 2026, submitted to Physical Review D). Includes: closed-form verification of the bath Green's function and the exact scaling law of the influence kernel (to ~1e-12); reconstruction of the kernel and its spectral exponent; canonical fluid normalization; kernel moments and the secular memory constant; the cs > 0 contrast cases; and the numerical verification of the integration-by-parts dephasing bound. See README.md for a script-by-script map to the paper. Requirements: Python >= 3.9, numpy, scipy, matplotlib. License: MIT.