and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.
    *   New `tf.data.Dataset.window()` API allows users to create finite windows
        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.

V15 value with 9 keys XXLOR VS10, VS10, V23 // Last key -> V23 for later vcipiherlast // Key length based on CR2. (LT=10, EQ=12, GT=14) BLT CR2, block16_last // Finish for key size 10 VCIPHER_1X2_KEYS(V15, VS10, VS11) // Encrypt V15 with 2 more keys XXLOR VS12, VS12, V23 // Last key -> V23 for later vcipherlast BEQ CR2, block16_last // Finish for key size 12 VCIPHER_1X2_KEYS(V15, VS12, VS13) // Encrypt V15 with last 2 keys XXLOR VS14, VS14, V23 // Last key -> V23 for vcipherlast with key size 14 block16_last:...

2A0C          ; mapped                 ; 222B 222B 222B 222B #3.2 QUADRUPLE INTEGRAL OPERATOR
2A0D..2A73    ; valid                  ;      ; NV8    # 3.2  FINITE PART INTEGRAL..EQUALS SIGN ABOVE TILDE OPERATOR
2A74          ; disallowed_STD3_mapped ; 003A 003A 003D #3.2  DOUBLE COLON EQUAL
2A75          ; disallowed_STD3_mapped ; 003D 003D     # 3.2  TWO CONSECUTIVE EQUALS SIGNS

This was designed this way mainly to allow using the same objects "yielded" by dependencies inside of background tasks, because the exit code would be executed after the background tasks were finished.

Nevertheless, as this would mean waiting for the response to travel through the network while unnecessarily holding a resource in a dependency with yield (for example a database connection), this was changed in FastAPI 0.106.0.