1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
|
""" Load or save values to a file.
Shelves work well for storing data, but they are slow to access
repeatedly - especially for large data sets. This module allows
you to store data to a file and then load it back into the workspace.
When the data is stored, a python module is also created as the
"namespace for the data"
>>> import data_store
>>> import os
>>> a = 1
>>> data_store.save('c:/temp/junker',{'a':a})
>>> os.chdir('c:/temp')
>>> import junker
>>> junker.a
1
"""
__all__ = ['load', 'save', 'create_module', 'create_shelf']
import dumb_shelve
import os
def load(module):
""" Load data into module from a shelf with
the same name as the module.
"""
dir,filename = os.path.split(module.__file__)
filebase = filename.split('.')[0]
fn = os.path.join(dir, filebase)
f = dumb_shelve.open(fn, "r")
#exec( 'import ' + module.__name__)
for i in f.keys():
exec( 'import ' + module.__name__+ ';' +
module.__name__+'.'+i + '=' + 'f["' + i + '"]')
# print i, 'loaded...'
# print 'done'
def save(file_name=None,data=None):
""" Save the dictionary "data" into
a module and shelf named save
"""
import dumb_shelve
create_module(file_name)
create_shelf(file_name,data)
def create_module(file_name):
""" Create the module file.
"""
if not os.path.exists(file_name+'.py'): # don't clobber existing files
module_name = os.path.split(file_name)[-1]
f = open(file_name+'.py','w')
f.write('import scipy.io.data_store as data_store\n')
f.write('import %s\n' % module_name)
f.write('data_store.load(%s)' % module_name)
f.close()
def create_shelf(file_name,data):
"""Use this to write the data to a new file
"""
shelf_name = file_name.split('.')[0]
f = dumb_shelve.open(shelf_name,'w')
for i in data.keys():
# print 'saving...',i
f[i] = data[i]
# print 'done'
f.close()
|
