from typing import 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/")
async def read_items(filter_query: FilterParams = Query()):

from typing_extensions import Annotated, Literal

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    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/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

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

app = FastAPI()


class FilterParams(BaseModel):
    class Config:
        extra = "forbid"

    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/")
async def read_items(filter_query: FilterParams = Query()):

	VST1.P	[V4.S4,V5.S4], 48(R1)                            // ERROR "invalid post-increment offset"
	VST1.P	[V4.S4], 8(R1)                                   // ERROR "invalid post-increment offset"
	VLD1.P	32(R1), [V8.S4, V9.S4, V10.S4]                   // ERROR "invalid post-increment offset"
	VLD1.P	48(R1), [V7.S4, V8.S4, V9.S4, V10.S4]            // ERROR "invalid post-increment offset"

ding"+Q[a],!0,i),"padding"!==n?u+=ce.css(e,"border"+Q[a]+"Width",!0,i):s+=ce.css(e,"border"+Q[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u+l}function ot(e,t,n){var r=Xe(e),i=(!le.boxSizingReliable()||n)&&"border-box"===ce.css(e,"boxSizing",!1,r),o=i,a=Ge(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(_e.test(a)){if(!n)return a;a="auto"}return(!le.boxSizingReliable()&&i||!le.reliableTrDimensions()&&fe(e,"tr")||"auto"===a...

				fmt.Println("Read err:", err)
			}
		}
	}()
	// First, if there is any unread data, copy it to the client
	// provided buffer.
	if cr.offset > 0 {
		n = copy(buf, cr.buffer[cr.offset:])
		if n == len(buf) {
			cr.offset += n
			return n, nil
		}
		cr.offset = 0
		buf = buf[n:]
	}

	var size int
	for {
		b, err := cr.reader.ReadByte()
		if err == io.EOF {
			err = io.ErrUnexpectedEOF

				done <- true
			}(j, ft)
			n++
		}
	}
	for ; n > 0; n-- {
		<-done
	}
}

func equalTimeAndZone(t1, t2 time.Time) bool {
	name1, offset1 := t1.Zone()
	name2, offset2 := t2.Zone()
	return t1.Equal(t2) && name1 == name2 && offset1 == offset2
}

func readTestFile(t *testing.T, zt ZipTest, ft ZipTestFile, f *File, raw []byte) {
	if f.Name != ft.Name {
		t.Errorf("name=%q, want %q", f.Name, ft.Name)

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

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/")
async def read_items(filter_query: FilterParams = Query()):

	ReadFile(ctx context.Context, volume string, path string, offset int64, buf []byte, verifier *BitrotVerifier) (n int64, err error)
	AppendFile(ctx context.Context, volume string, path string, buf []byte) (err error)
	CreateFile(ctx context.Context, origvolume, olume, path string, size int64, reader io.Reader) error
	ReadFileStream(ctx context.Context, volume, path string, offset, length int64) (io.ReadCloser, error)

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

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    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/")
async def read_items(filter_query: FilterParams = Query()):