private fun readWindowUpdate(
    handler: Handler,
    length: Int,
    flags: Int,
    streamId: Int,
  ) {
    val increment: Long
    try {
      if (length != 4) throw IOException("TYPE_WINDOW_UPDATE length !=4: $length")
      increment = source.readInt() and 0x7fffffffL
      if (increment == 0L) throw IOException("windowSizeIncrement was 0")
    } catch (e: Exception) {

    var bias = INITIAL_BIAS
    var h = b
    while (h < input.size) {
      val m = input.minBy { if (it >= n) it else Int.MAX_VALUE }

      val increment = (m - n) * (h + 1)
      if (delta > Int.MAX_VALUE - increment) return false // Prevent overflow.
      delta += increment

      n = m

      for (c in input) {
        if (c < n) {
          if (delta == Int.MAX_VALUE) return false // Prevent overflow.

 * the response, the client will issue a conditional `GET`. The server will then send either
 * the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable

    #
    #; skipSheet = P.+
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isIncrementSequenceToDataMax: (NotRequired - Default false)
    #  Does it increment sequence values to max value of table data?
    #  Referring the property 'sequenceDefinitionMap'.
    #
    #; isIncrementSequenceToDataMax = false
    # - - - - - - - - - -/

      length,
      formattedType,
      formattedFlags,
    )
  }

  /**
   * Returns a human-readable representation of a `WINDOW_UPDATE` frame. This frame includes the
   * window size increment instead of flags.
   */
  fun frameLogWindowUpdate(
    inbound: Boolean,
    streamId: Int,
    length: Int,
    windowSizeIncrement: Long,
  ): String {

        val unaryExpression = parentOfType<KtUnaryExpression>() ?: return null
        if (deparenthesize(unaryExpression.baseExpression) != baseExpression ||
            unaryExpression.operationToken !in KtTokens.INCREMENT_AND_DECREMENT
        ) return null
        return unaryExpression
    }

    /**
     * When resolving selector expression of a [KtDotQualifiedExpression], we instead resolve the containing qualified expression. This way

            if (fir.lValue.source?.psi == expression) {
                fir.lValue.resolvedType.asKtType()
            } else if (expression is KtUnaryExpression && expression.operationToken in KtTokens.INCREMENT_AND_DECREMENT) {
                fir.rValue.resolvedType.asKtType()
            } else {
                analysisSession.builtinTypes.UNIT
            }
        }
        is FirExpression -> fir.resolvedType.asKtType()

This code is something you can actually use in your application, save the password hashes in your database, etc.

We are going to start from where we left in the previous chapter and increment it.

## About JWT

JWT means "JSON Web Tokens".

It's a standard to codify a JSON object in a long dense string without spaces. It looks like this:

```

    }

    private fun handleAsIncOrDecOperator(context: BindingContext, unaryExpression: KtUnaryExpression): KtCallInfo? {
        if (unaryExpression.operationToken !in KtTokens.INCREMENT_AND_DECREMENT) return null
        val operatorCall = unaryExpression.getResolvedCall(context) ?: return null
        val resolvedCalls = mutableListOf(operatorCall)

- [`KT-56659`](https://youtrack.jetbrains.com/issue/KT-56659) FIR: Increment operator on object leads to exception from resolve
- [`KT-56771`](https://youtrack.jetbrains.com/issue/KT-56771) FIR: Increment operator on qualified expressions leads to exception from resolve