alterColumn = true
			}
		}
	} else {
		if precision, _, ok := columnType.DecimalSize(); ok && int64(field.Precision) != precision {
			if regexp.MustCompile(fmt.Sprintf("[^0-9]%d[^0-9]", field.Precision)).MatchString(m.DataTypeOf(field)) {
				alterColumn = true
			}
		}
	}

	// check nullable
	if nullable, ok := columnType.Nullable(); ok && nullable == field.NotNull {

	FNMADDS	F1, F2, F3, F4				// 4f822018

	// 20.8: Single-Precision Floating-Point Compare Instructions
	FEQS	F0, F1, X7				// d3a300a0
	FLTS	F0, F1, X7				// d39300a0
	FLES	F0, F1, X7				// d38300a0

	// 20.9: Single-Precision Floating-Point Classify Instruction
	FCLASSS	F0, X5					// d31200e0

	// 21.3: Double-Precision Load and Store Instructions
	FLD	(X5), F0				// 07b00200
	FLD	4(X5), F0				// 07b04200

	}

	if num, ok := field.TagSettings["SIZE"]; ok {
		if field.Size, err = strconv.Atoi(num); err != nil {
			field.Size = -1
		}
	}

	if p, ok := field.TagSettings["PRECISION"]; ok {
		field.Precision, _ = strconv.Atoi(p)
	}

	if s, ok := field.TagSettings["SCALE"]; ok {
		field.Scale, _ = strconv.Atoi(s)
	}

	// default value is function or null or blank (primary keys)

   * with any fraction rounded down.
   *
   * <p><b>Note:</b> the overhead of measurement can be more than a microsecond, so it is generally
   * not useful to specify {@link TimeUnit#NANOSECONDS} precision here.
   *
   * <p>It is generally not a good idea to use an ambiguous, unitless {@code long} to represent
   * elapsed time. Therefore, we recommend using {@link #elapsed()} instead, which returns a

			tests.AssertObjEqual(t, parsedField, f, "Name", "DBName", "BindNames", "DataType", "PrimaryKey", "AutoIncrement", "Creatable", "Updatable", "Readable", "HasDefaultValue", "DefaultValue", "NotNull", "Unique", "Comment", "Size", "Precision", "TagSettings")

			if f.DBName != "" {
				if field, ok := s.FieldsByDBName[f.DBName]; !ok || parsedField != field {
					t.Errorf("schema %v failed to look up field with dbname %v", s, f.DBName)
				}
			}

            return true;
        }

        try (Stream<Path> outputFiles = Files.walk(outputDirectory)) {
            // Not using File#lastModified() to avoid a Linux JDK8 milliseconds precision bug: JDK-8177809.
            long artifactLastModified =
                    Files.getLastModifiedTime(packagedArtifactFile.toPath()).toMillis();

to the precision specified by the destination type.
For instance, the value of a variable <code>x</code> of type <code>float32</code>
may be stored using additional precision beyond that of an IEEE 754 32-bit number,
but float32(x) represents the result of rounding <code>x</code>'s value to
32-bit precision. Similarly, <code>x + 0.1</code> may use more than 32 bits

*   TF Core:

    *   Certain float32 ops run in lower precision on Ampere based GPUs,
        including matmuls and convolutions, due to the use of
        [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/).
        Specifically, inputs to such ops are rounded from 23 bits of precision
        to 10 bits of precision. This is unlikely to cause issues in practice

      return Arrays.copyOfRange(array, start, end);
    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Parses the specified string as a single-precision floating point value. The ASCII character
   * {@code '-'} (<code>'&#92;u002D'</code>) is recognized as the minus sign.
   *
   * <p>Unlike {@link Float#parseFloat(String)}, this method returns {@code null} instead of

            "#",
            "+"
            );
    return
    java.util.regex.Pattern
        .compile(fpPattern);
  }

  /**
   * Parses the specified string as a double-precision floating point value. The ASCII character
   * {@code '-'} (<code>'&#92;u002D'</code>) is recognized as the minus sign.
   *
   * <p>Unlike {@link Double#parseDouble(String)}, this method returns {@code null} instead of