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     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements
     * for this with respect to reads.
     *
     * As a guide, all critical volatile reads and writes to the count field are marked in code

     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements
     * for this with respect to reads.
     *
     * As a guide, all critical volatile reads and writes to the count field are marked in code

     * concurrent read operation to see inconsistent data. This is made easier by the nature of the
     * read operations in Map. For example, no operation can reveal that the table has grown but the
     * threshold has not yet been updated, so there are no atomicity requirements for this with
     * respect to reads.
     *

     * concurrent read operation to see inconsistent data. This is made easier by the nature of the
     * read operations in Map. For example, no operation can reveal that the table has grown but the
     * threshold has not yet been updated, so there are no atomicity requirements for this with
     * respect to reads.
     *