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""" Test refcounting and behavior of SCXX.
"""
import time
import os,sys
from numpy.testing import *
set_package_path()
from weave import inline_tools
restore_path()
class test_dict_construct(NumpyTestCase):
#------------------------------------------------------------------------
# Check that construction from basic types is allowed and have correct
# reference counts
#------------------------------------------------------------------------
def check_empty(self,level=5):
# strange int value used to try and make sure refcount is 2.
code = """
py::dict val;
return_val = val;
"""
res = inline_tools.inline(code)
assert sys.getrefcount(res) == 2
assert res == {}
class test_dict_has_key(NumpyTestCase):
def check_obj(self,level=5):
class foo:
pass
key = foo()
a = {}
a[key] = 12345
code = """
return_val = a.has_key(key);
"""
res = inline_tools.inline(code,['a','key'])
assert res
def check_int(self,level=5):
a = {}
a[1234] = 12345
code = """
return_val = a.has_key(1234);
"""
res = inline_tools.inline(code,['a'])
assert res
def check_double(self,level=5):
a = {}
a[1234.] = 12345
code = """
return_val = a.has_key(1234.);
"""
res = inline_tools.inline(code,['a'])
assert res
def check_complex(self,level=5):
a = {}
a[1+1j] = 12345
key = 1+1j
code = """
return_val = a.has_key(key);
"""
res = inline_tools.inline(code,['a','key'])
assert res
def check_string(self,level=5):
a = {}
a["b"] = 12345
code = """
return_val = a.has_key("b");
"""
res = inline_tools.inline(code,['a'])
assert res
def check_std_string(self,level=5):
a = {}
a["b"] = 12345
key_name = "b"
code = """
return_val = a.has_key(key_name);
"""
res = inline_tools.inline(code,['a','key_name'])
assert res
def check_string_fail(self,level=5):
a = {}
a["b"] = 12345
code = """
return_val = a.has_key("c");
"""
res = inline_tools.inline(code,['a'])
assert not res
class test_dict_get_item_op(NumpyTestCase):
def generic_get(self,code,args=['a']):
a = {}
a['b'] = 12345
res = inline_tools.inline(code,args)
assert res == a['b']
def check_char(self,level=5):
self.generic_get('return_val = a["b"];')
def DOESNT_WORK_check_char_fail(self,level=5):
# We can't through a KeyError for dicts on RHS of
# = but not on LHS. Not sure how to deal with this.
try:
self.generic_get('return_val = a["c"];')
except KeyError:
pass
def check_string(self,level=5):
self.generic_get('return_val = a[std::string("b")];')
def check_obj(self,level=5):
code = """
py::object name = "b";
return_val = a[name];
"""
self.generic_get(code,['a'])
def DOESNT_WORK_check_obj_fail(self,level=5):
# We can't through a KeyError for dicts on RHS of
# = but not on LHS. Not sure how to deal with this.
try:
code = """
py::object name = "c";
return_val = a[name];
"""
self.generic_get(code,['a'])
except KeyError:
pass
class test_dict_set_operator(NumpyTestCase):
def generic_new(self,key,val):
# test that value is set correctly and that reference counts
# on dict, key, and val are being handled correctly.
a = {}
# call once to handle mysterious addition of one ref count
# on first call to inline.
inline_tools.inline("a[key] = val;",['a','key','val'])
assert a[key] == val
before = sys.getrefcount(a), sys.getrefcount(key), sys.getrefcount(val)
inline_tools.inline("a[key] = val;",['a','key','val'])
assert a[key] == val
after = sys.getrefcount(a), sys.getrefcount(key), sys.getrefcount(val)
assert before == after
def generic_overwrite(self,key,val):
a = {}
overwritten = 1
a[key] = overwritten # put an item in the dict to be overwritten
# call once to handle mysterious addition of one ref count
# on first call to inline.
before_overwritten = sys.getrefcount(overwritten)
inline_tools.inline("a[key] = val;",['a','key','val'])
assert a[key] == val
before = sys.getrefcount(a), sys.getrefcount(key), sys.getrefcount(val)
inline_tools.inline("a[key] = val;",['a','key','val'])
assert a[key] == val
after = sys.getrefcount(a), sys.getrefcount(key), sys.getrefcount(val)
after_overwritten = sys.getrefcount(overwritten)
assert before == after
assert before_overwritten == after_overwritten
def check_new_int_int(self,level=5):
key,val = 1234,12345
self.generic_new(key,val)
def check_new_double_int(self,level=5):
key,val = 1234.,12345
self.generic_new(key,val)
def check_new_std_string_int(self,level=5):
key,val = "hello",12345
self.generic_new(key,val)
def check_new_complex_int(self,level=5):
key,val = 1+1j,12345
self.generic_new(key,val)
def check_new_obj_int(self,level=5):
class foo:
pass
key,val = foo(),12345
self.generic_new(key,val)
def check_overwrite_int_int(self,level=5):
key,val = 1234,12345
self.generic_overwrite(key,val)
def check_overwrite_double_int(self,level=5):
key,val = 1234.,12345
self.generic_overwrite(key,val)
def check_overwrite_std_string_int(self,level=5):
key,val = "hello",12345
self.generic_overwrite(key,val)
def check_overwrite_complex_int(self,level=5):
key,val = 1+1j,12345
self.generic_overwrite(key,val)
def check_overwrite_obj_int(self,level=5):
class foo:
pass
key,val = foo(),12345
self.generic_overwrite(key,val)
class test_dict_del(NumpyTestCase):
def generic(self,key):
# test that value is set correctly and that reference counts
# on dict, key, are being handled correctly. after deletion,
# the keys refcount should be one less than before.
a = {}
a[key] = 1
inline_tools.inline("a.del(key);",['a','key'])
assert not a.has_key(key)
a[key] = 1
before = sys.getrefcount(a), sys.getrefcount(key)
inline_tools.inline("a.del(key);",['a','key'])
assert not a.has_key(key)
after = sys.getrefcount(a), sys.getrefcount(key)
assert before[0] == after[0]
assert before[1] == after[1] + 1
def check_int(self,level=5):
key = 1234
self.generic(key)
def check_double(self,level=5):
key = 1234.
self.generic(key)
def check_std_string(self,level=5):
key = "hello"
self.generic(key)
def check_complex(self,level=5):
key = 1+1j
self.generic(key)
def check_obj(self,level=5):
class foo:
pass
key = foo()
self.generic(key)
class test_dict_others(NumpyTestCase):
def check_clear(self,level=5):
a = {}
a["hello"] = 1
inline_tools.inline("a.clear();",['a'])
assert not a
def check_items(self,level=5):
a = {}
a["hello"] = 1
items = inline_tools.inline("return_val = a.items();",['a'])
assert items == a.items()
def check_values(self,level=5):
a = {}
a["hello"] = 1
values = inline_tools.inline("return_val = a.values();",['a'])
assert values == a.values()
def check_keys(self,level=5):
a = {}
a["hello"] = 1
keys = inline_tools.inline("return_val = a.keys();",['a'])
assert keys == a.keys()
def check_update(self,level=5):
a,b = {},{}
a["hello"] = 1
b["hello"] = 2
inline_tools.inline("a.update(b);",['a','b'])
assert a == b
if __name__ == "__main__":
NumpyTest().run()
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