1785, 1806, 1820, 1841, 1854, 1876, 1899, 1915, 1930, 1945, 1966, 1984, 1999, 2016, 2041, 2059, 2082, 2097, 2116, 2132, 2151, 2172, 2186, 2198, 2211, 2230, 2249, 2259, 2274, 2310, 2341, 2374, 2403, 2415, 2435, 2459, 2483, 2504, 2528, 2547, 2568, 2585, 2595, 2618, 2640, 2666, 2687, 2705, 2732, 2763, 2790, 2811, 2832, 2856, 2881, 2909, 2937, 2953, 2976, 3006, 3017, 3029, 3046, 3061, 3079, 3108, 3125, 3141, 3157, 3175, 3193, 3216, 3237, 3260, 3271, 3287, 3310, 3327, 3355, 3374, 3404, 3424, 3452, 3467,...

// appropriate errors on validation
func TestInvalidRules(t *testing.T) {
	invalidTestCases := []struct {
		inputXML    string
		expectedErr error
	}{
		{ // Rule with ID longer than 255 characters
			inputXML: ` <Rule>

	}

	// Check each path segment length is > 255 on all Unix
	// platforms, look for this value as NAME_MAX in
	// /usr/include/linux/limits.h
	var count int64
	for _, p := range pathName {
		switch p {
		case '/':
			count = 0 // Reset
		case '\\':
			if runtime.GOOS == globalWindowsOSName {
				count = 0
			}
		default:
			count++
			if count > 255 {
				return errFileNameTooLong
			}
		}

*   Fixes a null dereference on ParallelConcat with XLA [CVE-2023-25676](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25676)
*   Fixes a segfault in Bincount with XLA [CVE-2023-25675](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25675)
*   Fixes an NPE in RandomShuffle with XLA enable [CVE-2023-25674](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25674)

plexus-utils Implementation-Version: 1.1 org/codehaus/plexus/util/Base64.class package org.codehaus.plexus.util; public synchronized class Base64 { static final int CHUNK_SIZE = 76; static final byte[] CHUNK_SEPARATOR; static final int BASELENGTH = 255; static final int LOOKUPLENGTH = 64; static final int EIGHTBIT = 8; static final int SIXTEENBIT = 16; static final int TWENTYFOURBITGROUP = 24; static final int FOURBYTE = 4; static final int SIGN = -128; static final byte PAD = 61; private static byte[]...

* 📝 Fix broken link to article: Machine learning model serving in Python using FastAPI and Streamlit. PR [#2557](https://github.com/tiangolo/fastapi/pull/2557) by [@davidefiocco](https://github.com/davidefiocco).
* 📝 Add FastAPI Medium Article: Deploy a dockerized FastAPI application to AWS. PR [#2515](https://github.com/tiangolo/fastapi/pull/2515) by [@vjanz](https://github.com/vjanz).