# Release 2.0.0

## Major Features and Improvements

TensorFlow 2.0 focuses on **simplicity** and **ease of use**, featuring updates
like:

*   Easy model building with Keras and eager execution.
*   Robust model deployment in production on any platform.
*   Powerful experimentation for research.
*   API simplification by reducing duplication and removing deprecated
    endpoints.

     * Get the value for the key 'crawler.ignore.robots.txt'. <br>
     * The value is, e.g. false <br>
     * comment: Whether to ignore robots.txt during crawling.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCrawlerIgnoreRobotsTxt();

    /**
     * Is the property for the key 'crawler.ignore.robots.txt' true? <br>
     * The value is, e.g. false <br>

## 0.130.0 (2026-02-22)

### Features

* ✨ Serialize JSON response with Pydantic (in Rust), when there's a Pydantic return type or response model. PR [#14962](https://github.com/fastapi/fastapi/pull/14962) by [@tiangolo](https://github.com/tiangolo).
    * This results in 2x (or more) performance increase for JSON responses.

use the exponentiation by (p + 1) / 4 like // for the other primes. Instead, implement a variation of Tonelli–Shanks. // The constant-time implementation is adapted from Thomas Pornin's ecGFp5. // // https://github.com/pornin/ecgfp5/blob/82325b965/rust/src/field.rs#L337-L385 // p = q*2^n + 1 with q odd -> q = 2^128 - 1 and n = 96 // g^(2^n) = 1 -> g = 11 ^ q (where 11 is the smallest non-square) // GG[j] = g^(2^j) for j = 0 to n-1 p224GGOnce.Do(func() { p224GG = new([96]fiat.P224Element) for i :=...