evgeny.bovykin 6a772de5d5 PY-85638 PY-85893 Use soft-key soft-value map for TypeEvalContext caches ...

This prevents the caches from blowing up in size when analyzing a lot of files in a row

The most obvious example is running `Analyze code` on the whole project. Previously, all PSI elements from all files would pollute the cache, potentially consuming multiple Gb of memory. See PyDjangoSourcesPerformanceTest as an example. It used to require 16 Gb of heap, and it would still sometimes fail with OOM. Now, it runs smoothly with 2Gb of heap

GitOrigin-RevId: f9854f8abdd7086414df8f610b0f2d611ca0d455

2025-12-09 17:41:26 +00:00

..

gen/com/jetbrains/python/psi/icons

[python] PY-84203 Reuse PythonParserIcons.PythonFile icon everywhere

2025-09-14 23:47:27 +00:00

resources

[python] PY-83505 ExternalTypeProvider extension point

2025-10-30 09:00:10 +00:00

src/com/jetbrains/python

PY-85638 PY-85893 Use soft-key soft-value map for TypeEvalContext caches

2025-12-09 17:41:26 +00:00

BUILD.bazel

[internal] IJPL-215577 add kotlin-annotations-jvm as a dependency

2025-10-30 06:32:23 +00:00

intellij.python.psi.iml

[internal] IJPL-215577 add kotlin-annotations-jvm as a dependency

2025-10-30 06:32:23 +00:00