[`tf.debugging`](https://www.tensorflow.org/versions/master/api_docs/python/tf/debugging),
    [`tf.dtypes`](https://www.tensorflow.org/versions/master/api_docs/python/tf/dtypes),
    [`tf.image`](https://www.tensorflow.org/versions/master/api_docs/python/tf/image),
    [`tf.io`](https://www.tensorflow.org/versions/master/api_docs/python/tf/io),
    [`tf.linalg`](https://www.tensorflow.org/versions/master/api_docs/python/tf/linalg),

copy(em[k-len(prefix)-len(hashed):], prefix) copy(em[k-len(hashed):], hashed) return em, nil } // VerifyPKCS1v15 verifies an RSASSA-PKCS1-v1.5 signature. // // hash is the name of the hash function as returned by [crypto.Hash.String] // or the empty string to indicate that the message is signed directly. func VerifyPKCS1v15(pub *PublicKey, hash string, hashed []byte, sig []byte) error { fipsSelfTest() fips140.RecordApproved() checkApprovedHashNam(hash) return verifyPKCS1v15(pub, hash, hashed, sig) } func verifyPKCS1v15(pub...

## 0.119.0

FastAPI now (temporarily) supports both Pydantic v2 models and `pydantic.v1` models at the same time in the same app, to make it easier for any FastAPI apps still using Pydantic v1 to gradually but quickly **migrate to Pydantic v2**.

```Python
from fastapi import FastAPI
from pydantic import BaseModel as BaseModelV2
from pydantic.v1 import BaseModel

copy(em[k-len(prefix)-len(hashed):], prefix) copy(em[k-len(hashed):], hashed) return em, nil } // VerifyPKCS1v15 verifies an RSASSA-PKCS1-v1.5 signature. // // hash is the name of the hash function as returned by [crypto.Hash.String] // or the empty string to indicate that the message is signed directly. func VerifyPKCS1v15(pub *PublicKey, hash string, hashed []byte, sig []byte) error { fipsSelfTest() fips140.RecordApproved() checkApprovedHashNam(hash) return verifyPKCS1v15(pub, hash, hashed, sig) } func verifyPKCS1v15(pub...