firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.VALUE_CLASS_NOT_TOP_LEVEL) { firDiagnostic ->
        ValueClassNotTopLevelImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.VALUE_CLASS_NOT_FINAL) { firDiagnostic ->
        ValueClassNotFinalImpl(
            firDiagnostic as KtPsiDiagnostic,

pkg unique, func Make[$0 comparable]($0) Handle[$0] #62483
pkg unique, method (Handle[$0]) Value() $0 #62483

    lock.assertHeld()

    while (true) {
      if (readyQueues.isEmpty()) {
        return null // Nothing to do.
      }

      val now = backend.nanoTime()
      var minDelayNanos = Long.MAX_VALUE
      var readyTask: Task? = null
      var multipleReadyTasks = false

      // Decide what to run. This loop's goal wants to:
      //  * Find out what this thread should do (either run a task or sleep)

            testJvmVendorParameter,
            JvmVendor.openjdk.name,
            display = ParameterDisplay.PROMPT,
            description = "Java vendor to run the test with",
            options = JvmVendor.values().map { it.displayName to it.name }
        )
        text(
            testTaskOptionsParameterName,
            "",
            display = ParameterDisplay.PROMPT,
            allowEmpty = true,

        leftOperandPsi: KtExpression
    ): KtPartiallyAppliedFunctionSymbol<KtFunctionSymbol>? {
        // The new value is a call to the appropriate operator function.
        val operationCall = fir.rValue as? FirFunctionCall ?: getInitializerOfReferencedLocalVariable(fir.rValue) ?: return null
        return operationCall.toPartiallyAppliedSymbol(leftOperandPsi)
    }

    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` means:

    Pass the keys and values of the `second_user_data` dict directly as key-value arguments, equivalent to: `User(id=4, name="Mary", joined="2018-11-30")`

### Editor support

        is CharValue -> KtConstantValue.KtCharConstantValue(value, sourcePsi = null)
        is IntValue -> KtConstantValue.KtIntConstantValue(value, sourcePsi = null)
        is LongValue -> KtConstantValue.KtLongConstantValue(value, sourcePsi = null)
        is ShortValue -> KtConstantValue.KtShortConstantValue(value, sourcePsi = null)

    type annotation for variables representing a Tensor or a value that can be
    converted to Tensor by `tf.convert_to_tensor`.
*   Calling ops with a python constants or numpy values is now consistent with
    tf.convert_to_tensor behavior. This avoids operations like tf.reshape
    truncating inputs such as from int64 to int32.
*   Adds `tf.sparse.map_values` to apply a function to the `.value`s of
    `SparseTensor` arguments.

                            public String getSourceCompatibility() {
                                return "";
                            }
                            public void setSourceCompatibility(String value) {
                            }
                        }
                    """
                )
            },
            v2 = {
                withFile(
                    "java/com/example/Task.java",

    ignoreIoExceptions {
      shutdown(connectionCode)
    }

    var streamsToClose: Array<Http2Stream>? = null
    this.withLock {
      if (streams.isNotEmpty()) {
        streamsToClose = streams.values.toTypedArray()
        streams.clear()
      }
    }

    streamsToClose?.forEach { stream ->
      ignoreIoExceptions {
        stream.close(streamCode, cause)
      }
    }