Sofie Van Landeghem <******@****.***> 1774370372 +0100

# Other Tools

## uv

If uv is available, use it to manage dependencies.

## Ruff

If Ruff is available, use it to lint and format the code. Consider enabling the FastAPI rules.

## ty

If ty is available, use it to check types.

## Asyncer

When needing to run blocking code inside of async functions, or async code inside of blocking functions, suggest using Asyncer.

Prefer it over AnyIO or asyncio.

Install:

"docs_src/stream_data/tutorial001_py310.py" = ["UP028"]
"docs_src/stream_data/tutorial002_py310.py" = ["UP028"]
"docs_src/server_sent_events/tutorial001_py310.py" = ["UP028"]

[tool.ruff.lint.isort]
known-third-party = ["fastapi", "pydantic", "starlette"]

[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
keep-runtime-typing = true

[tool.inline-snapshot]
# default-flags=["fix"]

kotlin-serialization = { id = "org.jetbrains.kotlin.plugin.serialization", version.ref = "kotlin" }
ksp = { id = "com.google.devtools.ksp", version.ref = "ksp" }
gradle-lint = { id = "com.android.lint", version.ref = "lint-gradle" }
maven-publish = { id = "com.vanniktech.maven.publish.base", version.ref = "maven-publish" }
maven-sympathy = { id = "io.github.usefulness.maven-sympathy", version.ref = "maven-sympathy" }

  implementation(libs.gradlePlugin.graalvm)
  implementation(libs.gradlePlugin.ksp)
  implementation(libs.gradlePlugin.mrjar)
  implementation(libs.gradlePlugin.tapmoc)
  implementation(libs.androidx.lint.gradle)
  implementation(libs.kotlin.gradle.plugin.api)

- Prevented any type of CPU/Memory alignment or hint generation with the Topology Manager from the CPU or Memory Manager when pod-level resources were used in the Pod spec. ([#133279](https://github.com/kubernetes/kubernetes/pull/133279), [@ffromani](https://github.com/ffromani)) [SIG Node and Testing]...

package_group(name = "types_allowlist")

# Packages that use StructuredTensors.
# TODO(b/159007891) Remove this package once StructuredTensor is exported.
# LINT.IfChange
package_group(name = "structured_tensor_allowlist")
# LINT.ThenChange(copy.bara.sky)

filegroup(
    name = "intel_binary_blob",
    data = if_mkl_ml(
        [
            "@xla//xla/tsl/mkl:intel_binary_blob",
        ],

#     release_cpu_macos:               Toolchain and CUDA options for MacOS CPU builds.
#     release_cpu_windows:             Toolchain and CUDA options for Windows CPU builds.
# LINT.IfChange
# Default build options. These are applied first and unconditionally.

# These are used to generate the ML wheel version string.
# See the explanation in the file comment of
# @xla//third_party/py/python_wheel.bzl.

- Implemented a queueing hint for PersistentVolumeClaim/Add event in the `CSILimit` plugin. ([#124703](https://github.com/kubernetes/kubernetes/pull/124703), [@utam0k](https://github.com/utam0k)) [SIG Scheduling and Storage]

from typing import Annotated, Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")