import numpy as np

# Note: we use dtype objects instead of dtype classes. The spec does not
# require any behavior on dtypes other than equality.
int8 = np.dtype('int8')
int16 = np.dtype('int16')
int32 = np.dtype('int32')
int64 = np.dtype('int64')
uint8 = np.dtype('uint8')
uint16 = np.dtype('uint16')
uint32 = np.dtype('uint32')
uint64 = np.dtype('uint64')
float32 = np.dtype('float32')
float64 = np.dtype('float64')
# Note: This name is changed
bool = np.dtype('bool')

_all_dtypes = (int8, int16, int32, int64, uint8, uint16, uint32, uint64,
               float32, float64, bool)
_boolean_dtypes = (bool)
_floating_dtypes = (float32, float64)
_integer_dtypes = (int8, int16, int32, int64, uint8, uint16, uint32, uint64)
_integer_or_boolean_dtypes = (bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64)
_numeric_dtypes = (float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64)

import numpy as np

# Note: we use dtype objects instead of dtype classes. The spec does not
# require any behavior on dtypes other than equality.
int8 = np.dtype('int8')
int16 = np.dtype('int16')
int32 = np.dtype('int32')
int64 = np.dtype('int64')
uint8 = np.dtype('uint8')
uint16 = np.dtype('uint16')
uint32 = np.dtype('uint32')
uint64 = np.dtype('uint64')
float32 = np.dtype('float32')
float64 = np.dtype('float64')
# Note: This name is changed
bool = np.dtype('bool')

_all_dtypes = [int8, int16, int32, int64, uint8, uint16, uint32, uint64,
               float32, float64, bool]
_boolean_dtypes = [bool]
_floating_dtypes = [float32, float64]
_integer_dtypes = [int8, int16, int32, int64, uint8, uint16, uint32, uint64]
_integer_or_boolean_dtypes = [bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64]
_numeric_dtypes = [float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64]

--- 
+++ 
@@ -15,10 +15,10 @@
 # Note: This name is changed
 bool = np.dtype('bool')
 
-_all_dtypes = [int8, int16, int32, int64, uint8, uint16, uint32, uint64,
-               float32, float64, bool]
-_boolean_dtypes = [bool]
-_floating_dtypes = [float32, float64]
-_integer_dtypes = [int8, int16, int32, int64, uint8, uint16, uint32, uint64]
-_integer_or_boolean_dtypes = [bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64]
-_numeric_dtypes = [float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64]
+_all_dtypes = (int8, int16, int32, int64, uint8, uint16, uint32, uint64,
+               float32, float64, bool)
+_boolean_dtypes = (bool)
+_floating_dtypes = (float32, float64)
+_integer_dtypes = (int8, int16, int32, int64, uint8, uint16, uint32, uint64)
+_integer_or_boolean_dtypes = (bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64)
+_numeric_dtypes = (float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64)
Use tuples for internal type lists in the array API

These are easier for type checkers to handle.
