Lookup.py
61 lines
| 2.8 KiB
| text/x-python
|
PythonLexer
Miguel Valdez
|
r568 | ''' | ||
| Helper module for DynamicObject module - contains dictionaries | ||||
| of data types built-in to our YAML IDL, converting backing and forth between | ||||
| strings / YAML tags and python class instances. | ||||
| $Id$ | ||||
| ''' | ||||
| import datetime | ||||
| import numpy as np | ||||
| import PrecisionTime | ||||
| import DynamicObject | ||||
| Binary = DynamicObject.Binary | ||||
| import platform | ||||
| import collections | ||||
| # Implicit Types: | ||||
George Yong
|
r1167 | python_dtypes = tuple([bool,int,int,float,str,datetime.datetime,list, | ||
| set,dict,tuple,str]) | ||||
|
Miguel Valdez
|
r568 | |||
| # Numpy Data-types: | ||||
| numpy_dtypes = {'dtype.bool': bool, 'dtype.int': np.int, 'dtype.int8': np.int8, | ||||
| 'dtype.int16': np.int16, 'dtype.int32': np.int32, 'dtype.int64': np.int64, | ||||
| 'dtype.uint8': np.uint8, 'dtype.uint16': np.uint16, 'dtype.uint32': np.uint32, | ||||
| 'dtype.uint64': np.uint64, 'dtype.float': np.float, 'dtype.float16': np.float16, | ||||
| 'dtype.float32': np.float32, 'dtype.float64': np.float64, 'dtype.complex': np.complex, | ||||
| 'dtype.complex64': np.complex64, 'dtype.complex128': np.complex128, | ||||
| 'dtype.byte': np.byte, 'dtype.short': np.short, 'dtype.intc': np.intc, | ||||
| 'dtype.longlong': np.longlong, 'dtype.intp': np.intp, 'dtype.ubyte': np.ubyte, | ||||
| 'dtype.ushort': np.ushort, 'dtype.uintc': np.uintc, 'dtype.uint': np.uint, | ||||
| 'dtype.uintc': np.uintc, 'dtype.uint': np.uint, 'dtype.ulonglong': np.ulonglong, | ||||
| 'dtype.uintp': np.uintp, 'dtype.half': np.half, 'dtype.single': np.single, | ||||
| 'dtype.double': np.double, 'dtype.longfloat': np.longfloat, | ||||
| 'dtype.csingle': np.csingle, 'dtype.clongfloat': np.clongfloat, 'dtype.long': np.long} | ||||
| if platform.architecture()[0] != '32bit': # 64bit - certain numpy types exist | ||||
| numpy_dtypes.update({'dtype.float128': np.float128, 'dtype.complex256': np.complex256}) | ||||
| bit32 = False | ||||
| else: | ||||
| bit32 = True | ||||
| #else: # 32 bit - fix 32 bit integer issue. | ||||
| # np.int32 = np.int | ||||
| # bit32 = True | ||||
| # Built-in objects: | ||||
| builtin_objects = {'binary': Binary, 'nsTime': PrecisionTime.nsTime, 'psTime': PrecisionTime.psTime, | ||||
| 'timestamp_ns': PrecisionTime.nsTime, 'timestamp_ps': PrecisionTime.psTime, | ||||
| 'timestamp_nanosecond': PrecisionTime.nsTime, 'timestamp_picosecond': PrecisionTime.psTime, | ||||
| 'datetime': datetime.datetime, 'Binary': Binary} | ||||
| builtin_objects_simple = {'nsTime': PrecisionTime.nsTime, 'psTime': PrecisionTime.psTime, | ||||
| 'binary': Binary, 'datetime': datetime.datetime, | ||||
| 'Binary': Binary} | ||||
| # Inverse lookup for accessing tags given a class instance: | ||||
|
George Yong
|
r1167 | cls_dtypes = dict([(v,k) for (k,v) in list(numpy_dtypes.items())]) | ||
| obj_dtypes = dict([(v,k) for (k,v) in list(builtin_objects_simple.items())]) | ||||
|
Miguel Valdez
|
r568 | |||
| # Pointer to the list of all Object classes created, as located in the Object module / class: | ||||
| dynamicClasses = DynamicObject.Object.dynamicClasses | ||||