NEGD	F4, F5			// 85181401
	ABSD	F4, F5			// 85081401
	TRUNCDW	F4, F5			// 85881a01
	TRUNCFW	F4, F5			// 85841a01
	SQRTF	F4, F5			// 85441401
	SQRTD	F4, F5			// 85481401

	DBAR	 			// 00007238
	NOOP	 			// 00004003

	CMPEQF	F4, F5, FCC0		// a010120c
	CMPGTF	F4, F5, FCC1 		// a190110c
	CMPGTD	F4, F5, FCC2 		// a290210c
	CMPGEF	F4, F5, FCC3		// a390130c
	CMPGED	F4, F5, FCC4		// a490230c

		{
			name: "LeadingError",
			in:   "1.abc123",
			want: time.Time{},
			ok:   false,
		},
	}
	for _, tt := range tests {
		b.Run(tt.name, func(b *testing.B) {
			b.ReportAllocs()
			for b.Loop() {
				ts, err := parsePAXTime(tt.in)
				if (err == nil) != tt.ok {
					if err != nil {
						b.Fatal(err)
					}
					b.Fatal("expected error")
				}
				if !ts.Equal(tt.want) {

			// ~1.5-3x faster than Rabin-Karp since n is small.
			c0 := b[last]
			c1 := b[last-1] // There are at least 2 chars to match
		loop:
			for ; i < len(s); i++ {
				if s[i] == c0 && s[i-1] == c1 {
					for k := 2; k < n; k++ {
						if s[i-k] != b[last-k] {
							continue loop
						}
					}
					return i - last
				}
			}
		}
		return -1
	}
}

			if n < 0 {
				panic(errNegativeRead)
			}
			if n > 0 {
				b.lastByte = int(p[n-1])
				b.lastRuneSize = -1
			}
			return n, b.readErr()
		}
		// One read.
		// Do not use b.fill, which will loop.
		b.r = 0
		b.w = 0
		n, b.err = b.rd.Read(b.buf)
		if n < 0 {
			panic(errNegativeRead)
		}
		if n == 0 {
			return 0, b.readErr()
		}
		b.w += n
	}

	// copy as much as we can

		}

		written, err := erasure.Decode(ctx, writer, readers, partOffset, partLength, partSize, prefer)
		// Note: we should not be defer'ing the following closeBitrotReaders() call as
		// we are inside a for loop i.e if we use defer, we would accumulate a lot of open files by the time
		// we return from this function.
		closeBitrotReaders(readers)
		if err != nil {
			// If we have successfully written all the content that was asked

## 0.47.1

* Fix model filtering in `response_model`, cloning sub-models. PR [#889](https://github.com/tiangolo/fastapi/pull/889).
* Fix FastAPI serialization of Pydantic models using ORM mode blocking the event loop. PR [#888](https://github.com/tiangolo/fastapi/pull/888).

## 0.47.0