2.718281828459045   float32     2.718281828459045 rounds to 2.7182817 which is in the set of float32 values
-1e-1000            float64     -1e-1000 rounds to IEEE -0.0 which is further simplified to 0.0
0i                  int         0 is an integer value
(42 + 0i)           float32     42.0 (with zero imaginary part) is in the set of float32 values
</pre>

<pre>

			NumericRegexp: nil,
			Vars:          []interface{}{"jinzhu", 1, float32(999.99), true, []byte("12345"), tt, &tt, nil, "w@g.\"com", myrole, pwd, &js, &es},

			} else if se.GetConvertedType() == parquettypes.ConvertedType_TIMESTAMP_MICROS {
				duration := time.Duration(val) * time.Microsecond
				value = sql.FormatSQLTimestamp(time.Unix(0, 0).Add(duration))
			}
		}
	case float32:
		value = float64(val)
	default:
		value = v
	}
	return value, nil

    for p in testsuite._elem.xpath(".//error | .//failure"):
      # Sharded tests have target names like this:
      # WindowOpsTest.test_tflite_convert0 (<function hann_window at
      #     0x7fc61728dd40>, 10, False, tf.float32)
      # Where 0x... is a thread ID (or something) that is not important for
      # debugging, but breaks this "number of failures" counter because it's
      # different for repetitions of the same test. We use re.sub(r"0x\w+")

	m.lock.Lock()
	defer m.lock.Unlock()
	return m.expMovingAvg
}

// ActiveWorkerStat is stat for active replication workers
type ActiveWorkerStat struct {
	Curr int     `json:"curr"`
	Avg  float32 `json:"avg"`
	Max  int     `json:"max"`
	hist metrics.Histogram
}

func newActiveWorkerStat(r metrics.Registry) *ActiveWorkerStat {
	h := metrics.NewHistogram(metrics.NewUniformSample(100))

pkg go/types, const Complex64 = 15
pkg go/types, const Complex64 BasicKind
pkg go/types, const FieldVal = 0
pkg go/types, const FieldVal SelectionKind
pkg go/types, const Float32 = 13
pkg go/types, const Float32 BasicKind
pkg go/types, const Float64 = 14
pkg go/types, const Float64 BasicKind
pkg go/types, const Int = 2
pkg go/types, const Int BasicKind
pkg go/types, const Int16 = 4

		Int64Field         int64
		UIntField          uint
		UInt8Field         uint8
		UInt16Field        uint16
		UInt32Field        uint32
		UInt64Field        uint64
		Float32Field       float32
		Float64Field       float64
		StringField        string
		TimeField          time.Time
		TimePtrField       *time.Time
		EmbeddedStruct     `gorm:"embedded"`
		*EmbeddedPtrStruct `gorm:"embedded"`
	}

   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`
    * Strided_Slice now supports `UINT32`.

* `tf.config.experimental.enable_tensor_float_32_execution`

	c.int64 = c.Ident("int64")
	c.uint8 = c.Ident("uint8")
	c.uint16 = c.Ident("uint16")
	c.uint32 = c.Ident("uint32")
	c.uint64 = c.Ident("uint64")
	c.uintptr = c.Ident("uintptr")
	c.float32 = c.Ident("float32")
	c.float64 = c.Ident("float64")
	c.complex64 = c.Ident("complex64")
	c.complex128 = c.Ident("complex128")
	c.void = c.Ident("void")
	c.string = c.Ident("string")
	c.goVoid = c.Ident("_Ctype_void")

func TestMigrateAutoIncrement(t *testing.T) {
	type AutoIncrementStruct struct {
		ID     int64   `gorm:"primarykey;autoIncrement"`
		Field1 uint32  `gorm:"column:field1"`
		Field2 float32 `gorm:"column:field2"`
	}

	if err := DB.AutoMigrate(&AutoIncrementStruct{}); err != nil {
		t.Fatalf("AutoMigrate err: %v", err)
	}

	const ROWS = 10
	for idx := 0; idx < ROWS; idx++ {