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.

gguf-py/scripts/__init__.py

@@ -1,3 +1,5 @@
+# pyright: reportUnusedImport=false
+
 from .gguf_convert_endian import main as gguf_convert_endian_entrypoint
 from .gguf_dump import main as gguf_dump_entrypoint
 from .gguf_set_metadata import main as gguf_set_metadata_entrypoint

gguf-py/scripts/gguf_hash.py

@@ -63,9 +63,9 @@ def gguf_hash(reader: GGUFReader, filename: str, disable_progress_bar) -> None:
         bar.update(sum_weights_in_tensor)
 
         sha1_layer = hashlib.sha1()
-        sha1_layer.update(tensor.data)
-        sha1.update(tensor.data)
-        uuidv5_sha1.update(tensor.data)
+        sha1_layer.update(tensor.data.data)
+        sha1.update(tensor.data.data)
+        uuidv5_sha1.update(tensor.data.data)
         print("sha1    {0}  {1}:{2}".format(sha1_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
 
     # Flush Hash Progress Bar

gguf-py/scripts/gguf_new_metadata.py

@@ -1,4 +1,6 @@
 #!/usr/bin/env python3
+from __future__ import annotations
+
 import logging
 import argparse
 import os