back quote. The value of a raw string literal is the
string composed of the uninterpreted (implicitly UTF-8-encoded) characters
between the quotes;
in particular, backslashes have no special meaning and the string may
contain newlines.
Carriage return characters ('\r') inside raw string literals
are discarded from the raw string value.
</p>

<p>

- Server Side Apply now treats LabelSelector fields as atomic (meaning the entire selector is managed by a single writer and updated together), since they contain interrelated and inseparable fields that do not merge in intuitive ways. ([#93901](https://github.com/kubernetes/kubernetes/pull/93901), [@jpbetz](https:/...

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## Changes by Kind

### Deprecation

JSON API clients should tolerate `null` values for such fields, and treat `null` and `[]` as equivalent in meaning unless specifically documented otherwise for a particular field. ([#44593](https://github.com/kubernetes/kubernetes/pull/44593))

(xLimbs[i] ^ dLimbs[i])) xLimbs[i], carry = bits.Add(l, l, carry) dLimbs[i], borrow = bits.Sub(xLimbs[i], mLimbs[i], borrow) } // Like in maybeSubtractModulus, we need the subtraction if either it // didn't underflow (meaning 2x + b > m) or if computing 2x + b // overflowed (meaning 2x + b > 2^_W*n > m). needSubtraction = not(choice(borrow)) | choice(carry) } return x.assign(needSubtraction, d) } // Mod calculates out = x mod m. // // This works regardless how large the value of x is. // // The output...

(xLimbs[i] ^ dLimbs[i])) xLimbs[i], carry = bits.Add(l, l, carry) dLimbs[i], borrow = bits.Sub(xLimbs[i], mLimbs[i], borrow) } // Like in maybeSubtractModulus, we need the subtraction if either it // didn't underflow (meaning 2x + b > m) or if computing 2x + b // overflowed (meaning 2x + b > 2^_W*n > m). needSubtraction = not(choice(borrow)) | choice(carry) } return x.assign(needSubtraction, d) } // Mod calculates out = x mod m. // // This works regardless how large the value of x is. // // The output...

### Other notable changes

### Other notable changes

tf.audio_summary, tf.image_summary with tf.summary.scalar, tf.summary.histogram,
tf.summary.audio, tf.summary.image, respectively. The new summary ops take name
rather than tag as their first argument, meaning summary ops now respect
TensorFlow name scopes. * Replace tf.train.SummaryWriter and
tf.train.SummaryWriterCache with tf.summary.FileWriter and
tf.summary.FileWriterCache. * Removes RegisterShape from public API. Use C++