G-Cubed
Python G-Cubed 5.0.2.0 · build 1
Generation details
Source revision
4c4a95aded1b5ca5e8f9c292ad8250440cd9c18b (modified inputs)
Source fingerprint
e2c719b38e03c6b1748f10e26bc1caf1ead5674dd1beee6628a6ccf7b90fd39b
Generated (UTC)
2026-11-11T03:06:22.844261+00:00
Generator
pdoc 16.0.0, CPython 3.14.8
Generation metadata

gcubed.exogenous_adjustments.technology_advancement

Resolve technology-frontier deviations against configured long-run growth.

def load_technology_advancement_rates( configuration: gcubed.model_configuration.ModelConfiguration, sectors: list[str]) -> pandas.DataFrame:

Return actual decimal log frontier rates from percentage-point deviations.

Rows follow the requested model sectors and columns follow configured projection years. The configuration property is already a decimal rate. Every configured projection cell must be finite, resolved rates must be nonnegative, and deviations in the final 50 years must be exactly zero.