llama.cpp/requirements
compilade 3fd62a6b1c
py : type-check all Python scripts with Pyright (#8341)
* py : type-check all Python scripts with Pyright

* server-tests : use trailing slash in openai base_url

* server-tests : add more type annotations

* server-tests : strip "chat" from base_url in oai_chat_completions

* server-tests : model metadata is a dict

* ci : disable pip cache in type-check workflow

The cache is not shared between branches, and it's 250MB in size,
so it would become quite a big part of the 10GB cache limit of the repo.

* py : fix new type errors from master branch

* tests : fix test-tokenizer-random.py

Apparently, gcc applies optimisations even when pre-processing,
which confuses pycparser.

* ci : only show warnings and errors in python type-check

The "information" level otherwise has entries
from 'examples/pydantic_models_to_grammar.py',
which could be confusing for someone trying to figure out what failed,
considering that these messages can safely be ignored
even though they look like errors.
2024-07-07 15:04:39 -04:00
..
requirements-all.txt py : type-check all Python scripts with Pyright (#8341) 2024-07-07 15:04:39 -04:00
requirements-compare-llama-bench.txt py : type-check all Python scripts with Pyright (#8341) 2024-07-07 15:04:39 -04:00
requirements-convert_hf_to_gguf_update.txt py : use cpu-only torch in requirements.txt (#8335) 2024-07-07 14:23:38 +03:00
requirements-convert_hf_to_gguf.txt py : use cpu-only torch in requirements.txt (#8335) 2024-07-07 14:23:38 +03:00
requirements-convert_legacy_llama.txt py : switch to snake_case (#8305) 2024-07-05 07:53:33 +03:00
requirements-convert_llama_ggml_to_gguf.txt py : switch to snake_case (#8305) 2024-07-05 07:53:33 +03:00
requirements-pydantic.txt py : type-check all Python scripts with Pyright (#8341) 2024-07-07 15:04:39 -04:00
requirements-test-tokenizer-random.txt py : type-check all Python scripts with Pyright (#8341) 2024-07-07 15:04:39 -04:00