{"\x80\x80\x00\x00\x00\x00\x00\x00\x00", 0, false},
		{"\xff\x80\x00\x00\x00\x00\x00\x00\x00", math.MinInt64, true},
		{"\xff\x7f\xff\xff\xff\xff\xff\xff\xff", 0, false},
		{"\xf5\xec\xd1\xc7\x7e\x5f\x26\x48\x81\x9f\x8f\x9b", 0, false},

		// Test base-8 (octal) encoded values.
		{"0000000\x00", 0, true},
		{" \x0000000\x00", 0, true},
		{" \x0000003\x00", 3, true},
		{"00000000227\x00", 0227, true},

# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

* 📝 Add link to New Relic article: "How to monitor FastAPI application performance using Python agent". PR [#5260](https://github.com/tiangolo/fastapi/pull/5260) by [@sjyothi54](https://github.com/sjyothi54).