*  In the `keras` PyPI package, accessible symbols are now restricted to symbols that are intended to be public. This may affect your code if you were using `import keras` and you used `keras` functions that were not public APIs, but were accessible in earlier versions with direct imports. In those cases, please use the following guideline:

standard block element.\n  // See https://github.com/twbs/bootstrap/issues/12359\n  // and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n  min-width: 0;\n  // Reset the default outline behavior of fieldsets so they don't affect page layout.\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\n\n// 1. Correct the text wrapping in Edge and IE.\n// 2. Correct the color inheritance from `fieldset` elements in IE.\nlegend {\n  display: block;\n  width: 100%;\n  max-width: 100%; //...

more like a standard block element.\n//    See https://github.com/twbs/bootstrap/issues/12359\n//    and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n// 2. Reset the default outline behavior of fieldsets so they don't affect page layout.\n\nfieldset {\n  min-width: 0; // 1\n  padding: 0; // 2\n  margin: 0; // 2\n  border: 0; // 2\n}\n\n// 1. By using `float: left`, the legend will behave like a block element.\n//    This way the border of a fieldset wraps around the legend...

  means setting the this means setting the registry value of hostname for the registry key HKEY_LOCAL_MACHINE\\SYSTEM\\CurrentControlSet\\Services\\Tcpip\\Parameters to FQDN. 
  If a pod does not have FQDN, this has no effect. ([#91699](https://github.com/kubernetes/kubernetes/pull/91699), [@javidiaz](https://github.com/javidiaz)) [SIG Apps, Network, Node and Testing]

### Breaking Changes

* PR [#2434](https://github.com/tiangolo/fastapi/pull/2434) includes several improvements that shouldn't affect normal use cases, but could affect in advanced scenarios:

overflowed). // // The paper suggests in Section 4 that we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken invariant is // highly undesirable (see https://go.dev/issue/13907). copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) // The following specialized cases follow the exact same algorithm, but // optimized...

FFEA          ; mapped                 ; 2191          # 1.1  HALFWIDTH UPWARDS ARROW
FFEB          ; mapped                 ; 2192          # 1.1  HALFWIDTH RIGHTWARDS ARROW
FFEC          ; mapped                 ; 2193          # 1.1  HALFWIDTH DOWNWARDS ARROW
FFED          ; mapped                 ; 25A0          # 1.1  HALFWIDTH BLACK SQUARE