MATTER-Adaptation_Layer/scripts/tools/memory/memdf

This package contains routines to to collect, aggregate, and report memory usage, using Pandas DataFrame as the primary representation.

• memdf.collect — Helpers to read memory information from various sources (e.g. executables) according to command line options.
• memdf.df — DataFrame utilities, in particular definitions of columns and types for the main uses of data frames.
• memdf.name — Names for synthetic symbols, etc. Individual readers are located under memdf.collector.
• memdf.report — Helpers to write data frames in various formats according to command line or configured options.
• memdf.select — Helpers to select relevant subsets of data frames according to command line or configured options.
• memdf.sizedb — Helpers for a database of size information.

Modules under memdf.util are not specifically tied to memory usage.

• memdf.util.config — Config utility class for managing command line or other options according to a declarative description.
• memdf.util.github — Utilities for communicating with GitHub.
• memdf.util.markdown — Utilities for manipulating Markdown text.
• memdf.util.nd — Nested dictionary utilities, used by Config.
• memdf.util.pretty — Pretty-printed logging utility functions.
• memdf.util.sqlite - Utilities for connecting to a sqlite3 database.
• memdf.util.subprocess — Utilities for executing external commands.