FLIP-379: Support dynamic source parallelism inference for batch jobs

In Flink 1.19, we have supported dynamic source parallelism inference for batch jobs, which allows source connectors to dynamically infer the parallelism based on the actual amount of data to consume. This feature is a significant improvement over previous versions, which only assigned a fixed default parallelism to source vertices. Source connectors need to implement the inference interface to enable dynamic parallelism inference. Currently, the FileSource connector has already been developed with this functionality in place. Additionally, the configuration `execution.batch.adaptive.auto-parallelism.default-source-parallelism` will be used as the upper bound of source parallelism inference. And now it will not default to 1. Instead, if it is not set, the upper bound of allowed parallelism set via `execution.batch.adaptive.auto-parallelism.max-parallelism` will be used. If that configuration is also not set, the default parallelism set via `parallelism.default` or StreamExecutionEnvironment#setParallelism() will be used instead.