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] | 8
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"https"}}, "comparators": [{"_type": "Name", "_fields": {"id": "ua_handlers", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self):
_opener.OpenerDirector.__init__(self)
ua_handlers = self._ua_handlers = {}
for scheme in (self.default_schemes+
self.default_others+
self.default_features):
klass = self.handler_classes[scheme]
ua_handlers[scheme] = klass()
for handler in ua_handlers.itervalues():
self.add_handler(handler)
# Yuck.
# Ensure correct default constructor args were passed to
# HTTPRefreshProcessor and HTTPEquivProcessor.
if "_refresh" in ua_handlers:
self.set_handle_refresh(True)
if "_equiv" in ua_handlers:
self.set_handle_equiv(True)
# Ensure default password managers are installed.
pm = ppm = None
if "_basicauth" in ua_handlers or "_digestauth" in ua_handlers:
pm = _urllib2.HTTPPasswordMgrWithDefaultRealm()
if ("_proxy_basicauth" in ua_handlers or
"_proxy_digestauth" in ua_handlers):
ppm = _auth.HTTPProxyPasswordMgr()
self.set_password_manager(pm)
self.set_proxy_password_manager(ppm)
# set default certificate manager
if "https" in ua_handlers:
cm = _urllib2.HTTPSClientCertMgr()
self.set_client_cert_manager(cm)
|
|
16,002
|
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] | 8
|
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|
def __init__(self):
self.supports_check_mode = True
argument_spec = dict(
reset=dict(
type='bool',
default=False
),
merge_content=dict(),
verify=dict(
type='bool',
default=False
),
save=dict(
type='bool',
default='yes'
)
)
self.argument_spec = {}
self.argument_spec.update(f5_argument_spec)
self.argument_spec.update(argument_spec)
|
|
16,003
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-0.0008333126897923648
] | 11
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "newhandler", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ua_handlers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "handler", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "handler", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "remove", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handlers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "test": {"_type": "Name", "_fields": {"id": "handler", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_handler", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ua_handlers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "name": "_replace_handler", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _replace_handler(self, name, newhandler=None):
# first, if handler was previously added, remove it
if name is not None:
handler = self._ua_handlers.get(name)
if handler:
try:
self.handlers.remove(handler)
except ValueError:
pass
# then add the replacement, if any
if newhandler is not None:
self.add_handler(newhandler)
self._ua_handlers[name] = newhandler
|
|
16,004
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "handle", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "obj", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "constructor_args", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "constructor_kwds", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Dict", "_fields": {"keys": [], "values": []}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "handle", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "handle", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handler_classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "handler_class", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "handler_class", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "constructor_args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "handler_class", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "constructor_kwds", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}], "test": {"_type": "Name", "_fields": {"id": "handle", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "newhandler", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_replace_handler", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_set_handler", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _set_handler(self, name, handle=None, obj=None,
constructor_args=(), constructor_kwds={}):
if handle is None:
handle = obj is not None
if handle:
handler_class = self.handler_classes[name]
if obj is not None:
newhandler = handler_class(obj)
else:
newhandler = handler_class(
*constructor_args, **constructor_kwds)
else:
newhandler = None
self._replace_handler(name, newhandler)
|
|
16,005
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "scalar", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "string"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "scalar", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "container", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "one"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "container", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "test_list", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "test_list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "id", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "test_list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "id", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "test_to_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_to_list():
for scalar in ('string', 1, True, False, None):
assert isinstance(to_list(scalar), list)
for container in ([1, 2, 3], {'one': 1}):
assert isinstance(to_list(container), list)
test_list = [1, 2, 3]
assert id(test_list) != id(to_list(test_list))
|
|
16,006
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "fullurl", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "timeout", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_GLOBAL_DEFAULT_TIMEOUT", "value": {"_type": "Name", "_fields": {"id": "_sockettimeout", "ctx": {"_type": "Load", "_fields": {}}}}}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "fullurl", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "timeout", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_GLOBAL_DEFAULT_TIMEOUT", "value": {"_type": "Name", "_fields": {"id": "_sockettimeout", "ctx": {"_type": "Load", "_fields": {}}}}}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "fullurl", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "timeout", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "open", "value": {"_type": "Name", "_fields": {"id": "UserAgentBase", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "bound_open", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "bound_open", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seek_wrapped_response", "value": {"_type": "Name", "_fields": {"id": "_response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "fullurl", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "timeout", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wrapped_open", "value": {"_type": "Name", "_fields": {"id": "_opener", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_seekable", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "fullurl", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "open", "value": {"_type": "Name", "_fields": {"id": "UserAgentBase", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "open", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def open(self, fullurl, data=None,
timeout=_sockettimeout._GLOBAL_DEFAULT_TIMEOUT):
if self._seekable:
def bound_open(fullurl, data=None,
timeout=_sockettimeout._GLOBAL_DEFAULT_TIMEOUT):
return UserAgentBase.open(self, fullurl, data, timeout)
response = _opener.wrapped_open(
bound_open, _response.seek_wrapped_response, fullurl, data,
timeout)
else:
response = UserAgentBase.open(self, fullurl, data)
return response
|
|
16,007
|
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"_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "b1"}}, "comparators": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "b2"}}, "comparators": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b3"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b4"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "test_dict_merge", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_dict_merge():
base = dict(obj2=dict(), b1=True, b2=False, b3=False,
one=1, two=2, three=3, obj1=dict(key1=1, key2=2),
l1=[1, 3], l2=[1, 2, 3], l4=[4],
nested=dict(n1=dict(n2=2)))
other = dict(b1=True, b2=False, b3=True, b4=True,
one=1, three=4, four=4, obj1=dict(key1=2),
l1=[2, 1], l2=[3, 2, 1], l3=[1],
nested=dict(n1=dict(n2=2, n3=3)))
result = dict_merge(base, other)
# string assertions
assert 'one' in result
assert 'two' in result
assert result['three'] == 4
assert result['four'] == 4
# dict assertions
assert 'obj1' in result
assert 'key1' in result['obj1']
assert 'key2' in result['obj1']
# list assertions
assert result['l1'] == [1, 2, 3]
assert 'l2' in result
assert result['l3'] == [1]
assert 'l4' in result
# nested assertions
assert 'obj1' in result
assert result['obj1']['key1'] == 2
assert 'key2' in result['obj1']
# bool assertions
assert 'b1' in result
assert 'b2' in result
assert result['b3']
assert result['b4']
|
|
16,008
|
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"Constant", "_fields": {"kind": null, "value": "b1"}}, "comparators": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "b2"}}, "comparators": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b3"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b4"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "test_dict_diff", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_dict_diff():
base = dict(obj2=dict(), b1=True, b2=False, b3=False,
one=1, two=2, three=3, obj1=dict(key1=1, key2=2),
l1=[1, 3], l2=[1, 2, 3], l4=[4],
nested=dict(n1=dict(n2=2)))
other = dict(b1=True, b2=False, b3=True, b4=True,
one=1, three=4, four=4, obj1=dict(key1=2),
l1=[2, 1], l2=[3, 2, 1], l3=[1],
nested=dict(n1=dict(n2=2, n3=3)))
result = dict_diff(base, other)
# string assertions
assert 'one' not in result
assert 'two' not in result
assert result['three'] == 4
assert result['four'] == 4
# dict assertions
assert 'obj1' in result
assert 'key1' in result['obj1']
assert 'key2' not in result['obj1']
# list assertions
assert result['l1'] == [2, 1]
assert 'l2' not in result
assert result['l3'] == [1]
assert 'l4' not in result
# nested assertions
assert 'obj1' in result
assert result['obj1']['key1'] == 2
assert 'key2' not in result['obj1']
# bool assertions
assert 'b1' not in result
assert 'b2' not in result
assert result['b3']
assert result['b4']
|
|
16,009
|
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] | 6
|
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"_fields": {"id": "conditional", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "exactly(1)"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Name", "_fields": {"id": "conditional", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_conditional", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_conditional():
assert conditional(10, 10)
assert conditional('10', '10')
assert conditional('foo', 'foo')
assert conditional(True, True)
assert conditional(False, False)
assert conditional(None, None)
assert conditional("ge(1)", 1)
assert conditional("gt(1)", 2)
assert conditional("le(2)", 2)
assert conditional("lt(3)", 2)
assert conditional("eq(1)", 1)
assert conditional("neq(0)", 1)
assert conditional("min(1)", 1)
assert conditional("max(1)", 1)
assert conditional("exactly(1)", 1)
|
|
16,010
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringIO", "value": {"_type": "Name", "_fields": {"id": "io", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "this is some text"}}], "func": {"_type": "Name", "_fields": {"id": "Element", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "and this is some more text"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seek", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_contents", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "this is some text"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_contents", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "and this is some more text"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_contents", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_contents", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_contents", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "</html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_contents", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "test_render", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_render():
outfile = io.StringIO()
e = Element("this is some text")
e.append("and this is some more text")
# with open("test1.html", 'w') as outfile:
e.render(outfile, "")
(outfile.seek(0))
file_contents = outfile.read()
assert("this is some text") in file_contents
assert("and this is some more text") in file_contents
print(file_contents)
assert file_contents.strip().startswith("<html>")
assert file_contents.strip().endswith("</html>")
|
|
16,011
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringIO", "value": {"_type": "Name", "_fields": {"id": "io", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Html", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "PythonClass - Session 6"}}], "func": {"_type": "Name", "_fields": {"id": "Body", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "</html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "test_html_body", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_html_body():
outfile = io.StringIO()
h = Html()
b = Body("PythonClass - Session 6")
h.append(b)
h.render(outfile)
file_output = outfile.getvalue()
print(file_output)
assert file_output.strip().startswith("<html>")
assert file_output.strip().endswith("</html>")
|
|
16,012
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringIO", "value": {"_type": "Name", "_fields": {"id": "io", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Html", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "PythonClass - Session 6"}}], "func": {"_type": "Name", "_fields": {"id": "Body", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Here is a paragraph of text -- there could be more of them, but this is enough to show that we can do some text"}}], "func": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Adding plain text for verification."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "</html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Adding plain text for verification"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "<body>"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_html_body_p", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_html_body_p():
outfile = io.StringIO()
h = Html()
b = Body("PythonClass - Session 6")
p = P("Here is a paragraph of text -- there could be more of them, but this is enough to show that we can do some text")
h.append(b)
b.append(p)
b.append("Adding plain text for verification.")
h.render(outfile)
file_output = outfile.getvalue()
print(file_output)
assert file_output.strip().startswith("<html>")
assert file_output.strip().endswith("</html>")
assert "Adding plain text for verification" in file_output
assert "<body>" in file_output
|
|
16,013
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringIO", "value": {"_type": "Name", "_fields": {"id": "io", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Test contents"}}], "func": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": " "}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": " "}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": " T"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": " <"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "test_indent", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_indent():
outfile = io.StringIO()
p = P("Test contents")
p.render(outfile, " ")
file_output = outfile.getvalue()
lines = file_output.split("\n")
print(file_output)
assert file_output.startswith(" ")
assert lines[1].startswith(" T")
assert lines[2].startswith(" <")
|
|
16,014
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringIO", "value": {"_type": "Name", "_fields": {"id": "io", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Body", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Test contents."}}], "func": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<body>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "Element", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "<p>"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "Element", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "T"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "Element", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "</p>"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "</body>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "test_indent_subtag", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_indent_subtag():
outfile = io.StringIO()
b = Body()
b.append(P("Test contents."))
b.render(outfile)
file_output = outfile.getvalue()
lines = file_output.split("\n")
print(file_output)
assert file_output.startswith("<body>")
assert lines[1].startswith(Element.ind + "<p>")
assert lines[2].startswith(Element.ind + b.ind + "T")
assert lines[3].startswith(Element.ind + "</p>")
assert lines[4].startswith("</body>")
|
|
16,015
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringIO", "value": {"_type": "Name", "_fields": {"id": "io", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "charset", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "UTF-8"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "encode_attributes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Encoding", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "encode_attributes", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "meta charset=\"UTF-8\"/"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_meta", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_meta():
outfile = io.StringIO()
encode_attributes = dict(charset="UTF-8")
e = Encoding(**encode_attributes)
e.render(outfile)
file_output = outfile.getvalue()
print(file_output)
assert 'meta charset="UTF-8"/' in file_output
|
|
16,016
|
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{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "TheList"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ul_attributes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Ul", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "ul_attributes", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ul", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "The first item in a list"}}], "func": {"_type": "Name", "_fields": {"id": "Li", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "li1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "style", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "color: red"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "li2_attributes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This is the second item"}}], "func": {"_type": "Name", "_fields": {"id": "Li", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "li2_attributes", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "li2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "And this is a"}}], "func": {"_type": "Name", "_fields": {"id": "Li", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "li3", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "http://google.com"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "link to google"}}], "func": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "dt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "hd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "hd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "hd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "hr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "br", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ul", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "li1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "ul", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "li2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "ul", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "li3", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "ul", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "li3", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<!DOCTYPE html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "<head>"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "hd", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "<meta"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ind", "value": {"_type": "Name", "_fields": {"id": "hd", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "<title"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, "value": {"_type": "Name", "_fields": {"id": "lines", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "p style=\"text-align: center; font-style: oblique;\" clas=\"intro\""}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Here is a paragraph"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Ul style=\"line-height:200%\" id=\"TheList\""}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "<Li>"}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "href=\"http://google.com\""}}, "comparators": [{"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "</html>"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "file_output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "test_full_rendering", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_full_rendering():
outfile = io.StringIO()
dt = Doctype()
h = Html()
hd = Head()
encode_attributes = dict(charset="UTF-8")
e = Encoding(**encode_attributes)
t = Title("PythonClass - Session6")
b = Body()
header = Header(2, "Text for header")
p_attributes = dict(style="text-align: center; font-style: oblique;", clas= 'intro')
p = P("Here is a paragraph of text -- there could be more of them, but this is enough to show that we can do some text",
**p_attributes)
hr = Hr()
br = Br()
ul_attributes = dict(style="line-height:200%", id="TheList")
ul = Ul(**ul_attributes)
li1 = Li("The first item in a list",)
li2_attributes = dict(style="color: red")
li2 = Li("This is the second item", **li2_attributes)
li3 = Li("And this is a")
a = A("http://google.com", "link to google")
dt.render(outfile)
h.append(hd)
hd.append(e)
hd.append(t)
h.append(b)
b.append(header)
b.append(p)
b.append(hr)
b.append(br)
b.append(ul)
ul.append(li1)
ul.append(li2)
ul.append(li3)
li3.append(a)
h.render(outfile)
file_output = outfile.getvalue()
lines = file_output.split("\n")
print(file_output)
assert file_output.startswith("<!DOCTYPE html>")
assert lines[1].startswith("<html>")
assert lines[2].startswith(h.ind + "<head>")
assert lines[3].startswith(h.ind + hd.ind + "<meta")
assert lines[4].startswith(h.ind + hd.ind + "<title")
# The order of attributes passed in a dict can change resulting in test failure.
assert 'p style="text-align: center; font-style: oblique;" clas="intro"' in file_output
assert "Here is a paragraph" in file_output
# The order of attributes passed in a dict can change resulting in test failure.
assert 'Ul style="line-height:200%" id="TheList"' in file_output
assert "<Li>" in file_output
assert 'href="http://google.com"' in file_output
assert file_output.strip().endswith("</html>")
|
|
16,017
|
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"Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_escaped_colon_in_regexp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "year:1999"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "year"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1999"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NumericQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pqp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_single_year", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "year:1999..2010"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "year"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1999..2010"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NumericQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pqp", "value": {"_type": "Name", "_fields": {"id": 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"type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SubstringQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pqp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_empty_query_part", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "QueryParseTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "_common", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class QueryParseTest(_common.TestCase):
def pqp(self, part):
return beets.library.parse_query_part(
part,
{'year': dbcore.query.NumericQuery},
{':': dbcore.query.RegexpQuery},
)
def test_one_basic_term(self):
q = 'test'
r = (None, 'test', dbcore.query.SubstringQuery)
self.assertEqual(self.pqp(q), r)
def test_one_keyed_term(self):
q = 'test:val'
r = ('test', 'val', dbcore.query.SubstringQuery)
self.assertEqual(self.pqp(q), r)
def test_colon_at_end(self):
q = 'test:'
r = ('test', '', dbcore.query.SubstringQuery)
self.assertEqual(self.pqp(q), r)
def test_one_basic_regexp(self):
q = r':regexp'
r = (None, 'regexp', dbcore.query.RegexpQuery)
self.assertEqual(self.pqp(q), r)
def test_keyed_regexp(self):
q = r'test::regexp'
r = ('test', 'regexp', dbcore.query.RegexpQuery)
self.assertEqual(self.pqp(q), r)
def test_escaped_colon(self):
q = r'test\:val'
r = (None, 'test:val', dbcore.query.SubstringQuery)
self.assertEqual(self.pqp(q), r)
def test_escaped_colon_in_regexp(self):
q = r':test\:regexp'
r = (None, 'test:regexp', dbcore.query.RegexpQuery)
self.assertEqual(self.pqp(q), r)
def test_single_year(self):
q = 'year:1999'
r = ('year', '1999', dbcore.query.NumericQuery)
self.assertEqual(self.pqp(q), r)
def test_multiple_years(self):
q = 'year:1999..2010'
r = ('year', '1999..2010', dbcore.query.NumericQuery)
self.assertEqual(self.pqp(q), r)
def test_empty_query_part(self):
q = ''
r = (None, '', dbcore.query.SubstringQuery)
self.assertEqual(self.pqp(q), r)
|
|
16,018
|
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[]}}], "type_ignores": []}}
|
def check_exponential(inverse_scale):
rng = check_random_state(1)
p_carl = Exponential(inverse_scale=inverse_scale)
p_scipy = st.expon(scale=1. / inverse_scale)
X = rng.rand(50, 1)
assert_array_almost_equal(p_carl.pdf(X),
p_scipy.pdf(X.ravel()))
assert_array_almost_equal(p_carl.cdf(X),
p_scipy.cdf(X.ravel()))
assert_array_almost_equal(-np.log(p_carl.pdf(X)),
p_carl.nll(X))
|
|
16,019
|
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "SubstringQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AnyFieldQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_restriction_soundness", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "AnyFieldQueryTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LibTestCase", "value": {"_type": "Name", "_fields": {"id": "_common", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class AnyFieldQueryTest(_common.LibTestCase):
def test_no_restriction(self):
q = dbcore.query.AnyFieldQuery('title', beets.library.ITEM_KEYS,
dbcore.query.SubstringQuery)
self.assertEqual(self.lib.items(q).get().title, 'the title')
def test_restriction_completeness(self):
q = dbcore.query.AnyFieldQuery('title', ['title'],
dbcore.query.SubstringQuery)
self.assertEqual(self.lib.items(q).get().title, 'the title')
def test_restriction_soundness(self):
q = dbcore.query.AnyFieldQuery('title', ['artist'],
dbcore.query.SubstringQuery)
self.assertEqual(self.lib.items(q).get(), None)
|
|
16,020
|
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"type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "three"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "artist", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "album", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], 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"type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_album", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "results", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo bar"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "baz qux"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "beets 4 eva"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "assert_matched_all", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "DummyDataTestCase", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "_common", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "AssertsMixin", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class DummyDataTestCase(_common.TestCase, AssertsMixin):
def setUp(self):
super(DummyDataTestCase, self).setUp()
self.lib = beets.library.Library(':memory:')
items = [_common.item() for _ in range(3)]
items[0].title = 'foo bar'
items[0].artist = 'one'
items[0].album = 'baz'
items[0].year = 2001
items[0].comp = True
items[1].title = 'baz qux'
items[1].artist = 'two'
items[1].album = 'baz'
items[1].year = 2002
items[1].comp = True
items[2].title = 'beets 4 eva'
items[2].artist = 'three'
items[2].album = 'foo'
items[2].year = 2003
items[2].comp = False
for item in items:
self.lib.add(item)
self.lib.add_album(items[:2])
def assert_matched_all(self, results):
self.assert_matched(results, [
'foo bar',
'baz qux',
'beets 4 eva',
])
|
|
16,021
|
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"Constant", "_fields": {"kind": null, "value": "baz qux"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "title", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "two"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "artist", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "baz"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "album", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 2002}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "year", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", 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"_fields": {"kind": null, "value": "three"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "artist", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "album", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 2003}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "year", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "comp", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_album", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setUp(self):
super(DummyDataTestCase, self).setUp()
self.lib = beets.library.Library(':memory:')
items = [_common.item() for _ in range(3)]
items[0].title = 'foo bar'
items[0].artist = 'one'
items[0].album = 'baz'
items[0].year = 2001
items[0].comp = True
items[1].title = 'baz qux'
items[1].artist = 'two'
items[1].album = 'baz'
items[1].year = 2002
items[1].comp = True
items[2].title = 'beets 4 eva'
items[2].artist = 'three'
items[2].album = 'foo'
items[2].year = 2003
items[2].comp = False
for item in items:
self.lib.add(item)
self.lib.add_album(items[:2])
|
|
16,022
|
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[{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo bar"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "baz qux"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_compilation_true", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "comp:false"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "beets 4 eva"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_compilation_false", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "xyzzy:nonsense"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "title", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "titles", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "titles", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_unknown_field_name_no_results", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "xyzzy:nonsense"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "albums", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "album", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_unknown_field_name_no_results_in_album_query", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "format:nonsense"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "albums", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "album", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_item_field_name_matches_nothing_in_album_query", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": "u", "value": "café"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "title", "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "store", "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": "u", "value": "title:café"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": "u", "value": "café"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_unicode_query", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "year"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "2001"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NumericQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_numeric_search_positive", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "year"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1999"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NumericQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_numeric_search_negative", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "year"}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NumericQuery", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "dbcore", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_numeric_empty", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "GetTest", "bases": [{"_type": "Name", "_fields": {"id": "DummyDataTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class GetTest(DummyDataTestCase):
def test_get_empty(self):
q = ''
results = self.lib.items(q)
self.assert_matched_all(results)
def test_get_none(self):
q = None
results = self.lib.items(q)
self.assert_matched_all(results)
def test_get_one_keyed_term(self):
q = 'title:qux'
results = self.lib.items(q)
self.assert_matched(results, ['baz qux'])
def test_get_one_keyed_regexp(self):
q = r'artist::t.+r'
results = self.lib.items(q)
self.assert_matched(results, ['beets 4 eva'])
def test_get_one_unkeyed_term(self):
q = 'three'
results = self.lib.items(q)
self.assert_matched(results, ['beets 4 eva'])
def test_get_one_unkeyed_regexp(self):
q = r':x$'
results = self.lib.items(q)
self.assert_matched(results, ['baz qux'])
def test_get_no_matches(self):
q = 'popebear'
results = self.lib.items(q)
self.assert_matched(results, [])
def test_invalid_key(self):
q = 'pope:bear'
results = self.lib.items(q)
# Matches nothing since the flexattr is not present on the
# objects.
self.assert_matched(results, [])
def test_term_case_insensitive(self):
q = 'oNE'
results = self.lib.items(q)
self.assert_matched(results, ['foo bar'])
def test_regexp_case_sensitive(self):
q = r':oNE'
results = self.lib.items(q)
self.assert_matched(results, [])
q = r':one'
results = self.lib.items(q)
self.assert_matched(results, ['foo bar'])
def test_term_case_insensitive_with_key(self):
q = 'artist:thrEE'
results = self.lib.items(q)
self.assert_matched(results, ['beets 4 eva'])
def test_key_case_insensitive(self):
q = 'ArTiST:three'
results = self.lib.items(q)
self.assert_matched(results, ['beets 4 eva'])
def test_unkeyed_term_matches_multiple_columns(self):
q = 'baz'
results = self.lib.items(q)
self.assert_matched(results, [
'foo bar',
'baz qux',
])
def test_unkeyed_regexp_matches_multiple_columns(self):
q = r':z$'
results = self.lib.items(q)
self.assert_matched(results, [
'foo bar',
'baz qux',
])
def test_keyed_term_matches_only_one_column(self):
q = 'title:baz'
results = self.lib.items(q)
self.assert_matched(results, ['baz qux'])
def test_keyed_regexp_matches_only_one_column(self):
q = r'title::baz'
results = self.lib.items(q)
self.assert_matched(results, [
'baz qux',
])
def test_multiple_terms_narrow_search(self):
q = 'qux baz'
results = self.lib.items(q)
self.assert_matched(results, [
'baz qux',
])
def test_multiple_regexps_narrow_search(self):
q = r':baz :qux'
results = self.lib.items(q)
self.assert_matched(results, ['baz qux'])
def test_mixed_terms_regexps_narrow_search(self):
q = r':baz qux'
results = self.lib.items(q)
self.assert_matched(results, ['baz qux'])
def test_single_year(self):
q = 'year:2001'
results = self.lib.items(q)
self.assert_matched(results, ['foo bar'])
def test_year_range(self):
q = 'year:2000..2002'
results = self.lib.items(q)
self.assert_matched(results, [
'foo bar',
'baz qux',
])
def test_bad_year(self):
q = 'year:delete from items'
results = self.lib.items(q)
self.assert_matched(results, [])
def test_singleton_true(self):
q = 'singleton:true'
results = self.lib.items(q)
self.assert_matched(results, ['beets 4 eva'])
def test_singleton_false(self):
q = 'singleton:false'
results = self.lib.items(q)
self.assert_matched(results, ['foo bar', 'baz qux'])
def test_compilation_true(self):
q = 'comp:true'
results = self.lib.items(q)
self.assert_matched(results, ['foo bar', 'baz qux'])
def test_compilation_false(self):
q = 'comp:false'
results = self.lib.items(q)
self.assert_matched(results, ['beets 4 eva'])
def test_unknown_field_name_no_results(self):
q = 'xyzzy:nonsense'
results = self.lib.items(q)
titles = [i.title for i in results]
self.assertEqual(titles, [])
def test_unknown_field_name_no_results_in_album_query(self):
q = 'xyzzy:nonsense'
results = self.lib.albums(q)
names = [a.album for a in results]
self.assertEqual(names, [])
def test_item_field_name_matches_nothing_in_album_query(self):
q = 'format:nonsense'
results = self.lib.albums(q)
names = [a.album for a in results]
self.assertEqual(names, [])
def test_unicode_query(self):
item = self.lib.items().get()
item.title = u'caf\xe9'
item.store()
q = u'title:caf\xe9'
results = self.lib.items(q)
self.assert_matched(results, [u'caf\xe9'])
def test_numeric_search_positive(self):
q = dbcore.query.NumericQuery('year', '2001')
results = self.lib.items(q)
self.assertTrue(results)
def test_numeric_search_negative(self):
q = dbcore.query.NumericQuery('year', '1999')
results = self.lib.items(q)
self.assertFalse(results)
def test_numeric_empty(self):
q = dbcore.query.NumericQuery('year', '')
results = self.lib.items(q)
self.assertTrue(results)
|
|
16,023
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": "u", "value": "café"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "title", "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "store", "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": "u", "value": "title:café"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": "u", "value": "café"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_unicode_query", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_unicode_query(self):
item = self.lib.items().get()
item.title = u'caf\xe9'
item.store()
q = u'title:caf\xe9'
results = self.lib.items(q)
self.assert_matched(results, [u'caf\xe9'])
|
|
16,024
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class MatchTest(_common.TestCase):
def setUp(self):
super(MatchTest, self).setUp()
self.item = _common.item()
def test_regex_match_positive(self):
q = dbcore.query.RegexpQuery('album', '^the album$')
self.assertTrue(q.match(self.item))
def test_regex_match_negative(self):
q = dbcore.query.RegexpQuery('album', '^album$')
self.assertFalse(q.match(self.item))
def test_regex_match_non_string_value(self):
q = dbcore.query.RegexpQuery('disc', '^6$')
self.assertTrue(q.match(self.item))
def test_substring_match_positive(self):
q = dbcore.query.SubstringQuery('album', 'album')
self.assertTrue(q.match(self.item))
def test_substring_match_negative(self):
q = dbcore.query.SubstringQuery('album', 'ablum')
self.assertFalse(q.match(self.item))
def test_substring_match_non_string_value(self):
q = dbcore.query.SubstringQuery('disc', '6')
self.assertTrue(q.match(self.item))
def test_year_match_positive(self):
q = dbcore.query.NumericQuery('year', '1')
self.assertTrue(q.match(self.item))
def test_year_match_negative(self):
q = dbcore.query.NumericQuery('year', '10')
self.assertFalse(q.match(self.item))
def test_bitrate_range_positive(self):
q = dbcore.query.NumericQuery('bitrate', '100000..200000')
self.assertTrue(q.match(self.item))
def test_bitrate_range_negative(self):
q = dbcore.query.NumericQuery('bitrate', '200000..300000')
self.assertFalse(q.match(self.item))
|
|
16,025
|
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"assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_fragment_no_match", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "path:/x/../a/b"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "path item"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_nonnorm_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "/a/b"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "path item"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_slashed_query_matches_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "c.mp3"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], 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"Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_slashes_in_explicit_field_does_not_match_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "path::\\.mp3$"}}, "targets": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "q", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lib", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "path item"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_matched", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_path_regex", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "PathQueryTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LibTestCase", "value": {"_type": "Name", "_fields": {"id": "_common", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "AssertsMixin", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class PathQueryTest(_common.LibTestCase, AssertsMixin):
def setUp(self):
super(PathQueryTest, self).setUp()
self.i.path = '/a/b/c.mp3'
self.i.title = 'path item'
self.i.store()
def test_path_exact_match(self):
q = 'path:/a/b/c.mp3'
results = self.lib.items(q)
self.assert_matched(results, ['path item'])
def test_parent_directory_no_slash(self):
q = 'path:/a'
results = self.lib.items(q)
self.assert_matched(results, ['path item'])
def test_parent_directory_with_slash(self):
q = 'path:/a/'
results = self.lib.items(q)
self.assert_matched(results, ['path item'])
def test_no_match(self):
q = 'path:/xyzzy/'
results = self.lib.items(q)
self.assert_matched(results, [])
def test_fragment_no_match(self):
q = 'path:/b/'
results = self.lib.items(q)
self.assert_matched(results, [])
def test_nonnorm_path(self):
q = 'path:/x/../a/b'
results = self.lib.items(q)
self.assert_matched(results, ['path item'])
def test_slashed_query_matches_path(self):
q = '/a/b'
results = self.lib.items(q)
self.assert_matched(results, ['path item'])
def test_non_slashed_does_not_match_path(self):
q = 'c.mp3'
results = self.lib.items(q)
self.assert_matched(results, [])
def test_slashes_in_explicit_field_does_not_match_path(self):
q = 'title:/a/b'
results = self.lib.items(q)
self.assert_matched(results, [])
def test_path_regex(self):
q = 'path::\\.mp3$'
results = self.lib.items(q)
self.assert_matched(results, ['path item'])
|
|
16,026
|
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|
class DefaultSearchFieldsTest(DummyDataTestCase):
def test_albums_matches_album(self):
albums = list(self.lib.albums('baz'))
self.assertEqual(len(albums), 1)
def test_albums_matches_albumartist(self):
albums = list(self.lib.albums(['album artist']))
self.assertEqual(len(albums), 1)
def test_items_matches_title(self):
items = self.lib.items('beets')
self.assert_matched(items, ['beets 4 eva'])
def test_items_does_not_match_year(self):
items = self.lib.items('2001')
self.assert_matched(items, [])
|
|
16,027
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"_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "cs", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Delete", "_fields": {"targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Del", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "cs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": 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{"kind": null, "value": "switchFilter"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Delete", "_fields": {"targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Del", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "cs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/group/plane"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringVectorData", "value": {"_type": "Name", "_fields": {"id": "IECore", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setValue", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "paths"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "planeSet"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "comparators": [{"_type": "ListComp", "_fields": {"elt": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "cs", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", 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"setExpression", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "expression"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setFrame", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "context", "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/group/plane"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "attributes", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/group/sphere"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "attributes", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setFrame", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "context", "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": 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{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/group/sphere"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "attributes", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "context", "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Delete", "_fields": {"targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Del", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "cs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/group"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/group/plane"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StringVectorData", "value": {"_type": "Name", "_fields": {"id": "IECore", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setValue", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "paths"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "planeSet"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "attributes"}}, "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "comparators": [{"_type": "ListComp", "_fields": {"elt": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "cs", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testSwitch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testSwitch( self ) :
# Build a scene with a sphere, a plane, and
# a filter switch controlling an attribute
# assignment. Index 0 should assign to the
# plane and index 1 should assign to the
# sphere.
script = Gaffer.ScriptNode()
script["plane"] = GafferScene.Plane()
script["sphere"] = GafferScene.Sphere()
script["group"] = GafferScene.Group()
script["group"]["in"][0].setInput( script["plane"]["out"] )
script["group"]["in"][1].setInput( script["sphere"]["out"] )
script["planeSet"] = GafferScene.Set()
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group/plane" ] ) )
script["planeSet"]["in"].setInput( script["group"]["out"] )
script["attributes"] = GafferScene.StandardAttributes()
script["attributes"]["attributes"]["visibility"]["enabled"].setValue( True )
script["attributes"]["in"].setInput( script["planeSet"]["out"] )
script["setFilter"] = GafferScene.SetFilter()
script["setFilter"]["setExpression"].setValue( "set" )
script["pathFilter"] = GafferScene.PathFilter()
script["pathFilter"]["paths"].setValue( IECore.StringVectorData( [ "/group/sphere" ] ) )
script["switchFilter"] = Gaffer.Switch()
script["switchFilter"].setup( script["setFilter"]["out"] )
script["switchFilter"]["in"][0].setInput( script["setFilter"]["out"] )
script["switchFilter"]["in"][1].setInput( script["pathFilter"]["out"] )
script["attributes"]["filter"].setInput( script["switchFilter"]["out"] )
# Check that we get the assignments we expect for each index.
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 0 )
script["switchFilter"]["index"].setValue( 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 0 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 1 )
# Check that we get dirtiness signalled when changing the
# index.
cs = GafferTest.CapturingSlot( script["attributes"].plugDirtiedSignal() )
self.assertEqual( len( cs ), 0 )
script["switchFilter"]["index"].setValue( 0 )
self.assertTrue( script["attributes"]["out"] in [ c[0] for c in cs ] )
# Check that we get dirtiness signalled for the attributes
# when changing the set used by the set filter.
del cs[:]
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group", "/group/plane" ] ) )
self.assertTrue( script["attributes"]["out"]["attributes"] in [ c[0] for c in cs ] )
# But also check that we don't get it signalled unnecessarily when
# the set filter isn't the current index.
script["switchFilter"]["index"].setValue( 1 )
del cs[:]
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group/plane" ] ) )
self.assertFalse( script["attributes"]["out"]["attributes"] in [ c[0] for c in cs ] )
# Now check that we can use expressions successfully on the index.
script["expression"] = Gaffer.Expression()
script["expression"].setExpression( 'parent["switchFilter"]["index"] = int( context.getFrame() )' )
with script.context() :
script.context().setFrame( 0 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 0 )
script.context().setFrame( 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 0 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 1 )
# Now we have an expression based on the context, changing the upstream set should
# always signal dirtiness for the attributes, because we don't know which index
# the switch will use until we actually compute.
del cs[:]
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group", "/group/plane" ] ) )
self.assertTrue( script["attributes"]["out"]["attributes"] in [ c[0] for c in cs ] )
|
|
16,028
|
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0.024301068857312202,
-0.0007917599286884069,
-0.05693860352039337,
-0.002193089807406068,
0.011680587194859982,
-0.008840467780828476,
0.027270594611763954,
0.05710206553339958,
-0.012695401906967163,
0.05960845202207565,
-0.012334427796304226,
-0.006521377246826887,
0.05105404183268547,
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{}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ss", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "FilterSwitch"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Box"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Box"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "fs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Name", "_fields": {"id": "fs", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "in1"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "in"}}, "value": {"_type": "Name", "_fields": {"id": "fs", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testSwitchConnectionSerializationProblem", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ScriptNode", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Isolate", "value": {"_type": "Name", "_fields": {"id": "GafferScene", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "i"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PathFilter", "value": {"_type": "Name", "_fields": {"id": "GafferScene", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Switch", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setup", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "in"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "in"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "i"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}], "name": "testConnectWithoutInputs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ScriptNode", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PathFilter", "value": {"_type": "Name", "_fields": {"id": "GafferScene", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Dot", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "IntPlug", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setup", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "in"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Switch", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setup", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "script[\"s\"][\"in\"][0].setInput( script[\"d\"][\"out\"] )"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Box", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", 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{"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Switch", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setup", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "script[\"b\"][\"s\"][\"in\"][0].setInput( script[\"b\"][\"filter\"] )"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testCompatibilityWithIntPlugs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "FilterSwitchTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SceneTestCase", "value": {"_type": "Name", "_fields": {"id": "GafferSceneTest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class FilterSwitchTest( GafferSceneTest.SceneTestCase ) :
def testConstruct( self ) :
f = GafferScene.FilterSwitch()
self.assertEqual( f.getName(), "FilterSwitch" )
def testSwitch( self ) :
# Build a scene with a sphere, a plane, and
# a filter switch controlling an attribute
# assignment. Index 0 should assign to the
# plane and index 1 should assign to the
# sphere.
script = Gaffer.ScriptNode()
script["plane"] = GafferScene.Plane()
script["sphere"] = GafferScene.Sphere()
script["group"] = GafferScene.Group()
script["group"]["in"][0].setInput( script["plane"]["out"] )
script["group"]["in"][1].setInput( script["sphere"]["out"] )
script["planeSet"] = GafferScene.Set()
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group/plane" ] ) )
script["planeSet"]["in"].setInput( script["group"]["out"] )
script["attributes"] = GafferScene.StandardAttributes()
script["attributes"]["attributes"]["visibility"]["enabled"].setValue( True )
script["attributes"]["in"].setInput( script["planeSet"]["out"] )
script["setFilter"] = GafferScene.SetFilter()
script["setFilter"]["setExpression"].setValue( "set" )
script["pathFilter"] = GafferScene.PathFilter()
script["pathFilter"]["paths"].setValue( IECore.StringVectorData( [ "/group/sphere" ] ) )
script["switchFilter"] = Gaffer.Switch()
script["switchFilter"].setup( script["setFilter"]["out"] )
script["switchFilter"]["in"][0].setInput( script["setFilter"]["out"] )
script["switchFilter"]["in"][1].setInput( script["pathFilter"]["out"] )
script["attributes"]["filter"].setInput( script["switchFilter"]["out"] )
# Check that we get the assignments we expect for each index.
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 0 )
script["switchFilter"]["index"].setValue( 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 0 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 1 )
# Check that we get dirtiness signalled when changing the
# index.
cs = GafferTest.CapturingSlot( script["attributes"].plugDirtiedSignal() )
self.assertEqual( len( cs ), 0 )
script["switchFilter"]["index"].setValue( 0 )
self.assertTrue( script["attributes"]["out"] in [ c[0] for c in cs ] )
# Check that we get dirtiness signalled for the attributes
# when changing the set used by the set filter.
del cs[:]
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group", "/group/plane" ] ) )
self.assertTrue( script["attributes"]["out"]["attributes"] in [ c[0] for c in cs ] )
# But also check that we don't get it signalled unnecessarily when
# the set filter isn't the current index.
script["switchFilter"]["index"].setValue( 1 )
del cs[:]
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group/plane" ] ) )
self.assertFalse( script["attributes"]["out"]["attributes"] in [ c[0] for c in cs ] )
# Now check that we can use expressions successfully on the index.
script["expression"] = Gaffer.Expression()
script["expression"].setExpression( 'parent["switchFilter"]["index"] = int( context.getFrame() )' )
with script.context() :
script.context().setFrame( 0 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 0 )
script.context().setFrame( 1 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/plane" ) ), 0 )
self.assertEqual( len( script["attributes"]["out"].attributes( "/group/sphere" ) ), 1 )
# Now we have an expression based on the context, changing the upstream set should
# always signal dirtiness for the attributes, because we don't know which index
# the switch will use until we actually compute.
del cs[:]
script["planeSet"]["paths"].setValue( IECore.StringVectorData( [ "/group", "/group/plane" ] ) )
self.assertTrue( script["attributes"]["out"]["attributes"] in [ c[0] for c in cs ] )
def testSwitchConnectionSerializationProblem( self ):
s = Gaffer.ScriptNode()
b1 = Gaffer.Box()
s.addChild( b1 )
b2 = Gaffer.Box()
b1.addChild( b2 )
fs = Gaffer.Switch( "FilterSwitch" )
fs.setup( GafferScene.FilterPlug() )
b2.addChild( fs )
f1 = GafferScene.PathFilter()
b2.addChild( f1 )
f2 = GafferScene.PathFilter()
b2.addChild( f2 )
fs["in"]["in0"].setInput( f1["out"] )
fs["in"]["in1"].setInput( f2["out"] )
promoted = Gaffer.PlugAlgo.promote( fs["index"] )
promoted = Gaffer.PlugAlgo.promote( promoted )
promoted.setValue(1)
# correctly connected internally:
self.assertEqual( fs["out"].getInput(), fs["in"]["in1"] )
# serialize/deserialize:
ss = s.serialise()
s = Gaffer.ScriptNode()
s.execute( ss )
fs = s["Box"]["Box"]["FilterSwitch"]
# should still be correctly connected internally:
self.assertEqual( fs["out"].getInput(), fs["in"]["in1"] )
def testConnectWithoutInputs( self ) :
s = Gaffer.ScriptNode()
s["i"] = GafferScene.Isolate()
s["p"] = GafferScene.PathFilter()
s["s"] = Gaffer.Switch()
s["s"].setup( s["p"]["out"] )
s["s"]["in"][0].setInput( s["p"]["out"] )
s["s"]["in"][0].setInput( None )
s["i"]["filter"].setInput( s["s"]["out"] )
def testCompatibilityWithIntPlugs( self ) :
s = Gaffer.ScriptNode()
s["p"] = GafferScene.PathFilter()
s["d"] = Gaffer.Dot()
s["d"].setup( Gaffer.IntPlug() )
s["d"]["in"].setInput( s["p"]["out"] )
s["s"] = Gaffer.Switch()
s["s"].setup( s["p"]["out"] )
# We use `execute()` here because the compatibility with int
# plugs only applies when loading.
s.execute( """script["s"]["in"][0].setInput( script["d"]["out"] )""" )
s["b"] = Gaffer.Box()
s["b"]["filter"] = Gaffer.IntPlug()
s["b"]["filter"].setInput( s["p"]["out"] )
s["b"]["s"] = Gaffer.Switch()
s["b"]["s"].setup( s["p"]["out"] )
s.execute( """script["b"]["s"]["in"][0].setInput( script["b"]["filter"] )""" )
|
|
16,029
|
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] | 10
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ScriptNode", "value": {"_type": "Name", "_fields": {"id": "Gaffer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Isolate", "value": {"_type": "Name", "_fields": {"id": 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"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "in"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "out"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setInput", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "i"}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}], "name": "testConnectWithoutInputs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testConnectWithoutInputs( self ) :
s = Gaffer.ScriptNode()
s["i"] = GafferScene.Isolate()
s["p"] = GafferScene.PathFilter()
s["s"] = Gaffer.Switch()
s["s"].setup( s["p"]["out"] )
s["s"]["in"][0].setInput( s["p"]["out"] )
s["s"]["in"][0].setInput( None )
s["i"]["filter"].setInput( s["s"]["out"] )
|
|
16,030
|
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] | 9
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|
def testSwitchConnectionSerializationProblem( self ):
s = Gaffer.ScriptNode()
b1 = Gaffer.Box()
s.addChild( b1 )
b2 = Gaffer.Box()
b1.addChild( b2 )
fs = Gaffer.Switch( "FilterSwitch" )
fs.setup( GafferScene.FilterPlug() )
b2.addChild( fs )
f1 = GafferScene.PathFilter()
b2.addChild( f1 )
f2 = GafferScene.PathFilter()
b2.addChild( f2 )
fs["in"]["in0"].setInput( f1["out"] )
fs["in"]["in1"].setInput( f2["out"] )
promoted = Gaffer.PlugAlgo.promote( fs["index"] )
promoted = Gaffer.PlugAlgo.promote( promoted )
promoted.setValue(1)
# correctly connected internally:
self.assertEqual( fs["out"].getInput(), fs["in"]["in1"] )
# serialize/deserialize:
ss = s.serialise()
s = Gaffer.ScriptNode()
s.execute( ss )
fs = s["Box"]["Box"]["FilterSwitch"]
# should still be correctly connected internally:
self.assertEqual( fs["out"].getInput(), fs["in"]["in1"] )
|
|
16,031
|
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{}}, "attr": "execute", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testCompatibilityWithIntPlugs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testCompatibilityWithIntPlugs( self ) :
s = Gaffer.ScriptNode()
s["p"] = GafferScene.PathFilter()
s["d"] = Gaffer.Dot()
s["d"].setup( Gaffer.IntPlug() )
s["d"]["in"].setInput( s["p"]["out"] )
s["s"] = Gaffer.Switch()
s["s"].setup( s["p"]["out"] )
# We use `execute()` here because the compatibility with int
# plugs only applies when loading.
s.execute( """script["s"]["in"][0].setInput( script["d"]["out"] )""" )
s["b"] = Gaffer.Box()
s["b"]["filter"] = Gaffer.IntPlug()
s["b"]["filter"].setInput( s["p"]["out"] )
s["b"]["s"] = Gaffer.Switch()
s["b"]["s"].setup( s["p"]["out"] )
s.execute( """script["b"]["s"]["in"][0].setInput( script["b"]["filter"] )""" )
|
|
16,032
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|
def parse_dictionary(filename):
dict_anagrams = defaultdict(set)
with open(filename) as dictionary:
for word in dictionary:
word = word.rstrip()
dict_anagrams[''.join(sorted(word))].add(word)
return dict_anagrams
|
|
16,033
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"Name", "_fields": {"id": "word", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "sorted_word", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "word_anagrams", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "word", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "sorted_word", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "word_anagrams", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No anagrams found."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "name": "POST", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "index", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class index:
def GET(self):
form_word = input_word()
return render.formtemplate(form_word)
def POST(self):
form_word = input_word()
if not form_word.validates():
return render.formtemplate(form_word)
else:
anagram_list=set()
sorted_word = ''.join(sorted(form_word.d.Word))
if word_anagrams[sorted_word]:
for word in word_anagrams[sorted_word]:
anagram_list.add(word)
else:
anagram_list.add("No anagrams found.")
return(anagram_list)
|
|
16,034
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "input_word", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "form_word", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "form_word", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "formtemplate", "value": {"_type": "Name", "_fields": {"id": "render", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "validates", "value": {"_type": "Name", "_fields": {"id": "form_word", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Word", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "d", "value": {"_type": "Name", "_fields": {"id": "form_word", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "sorted", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sorted_word", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "word", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "sorted_word", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "word_anagrams", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "word", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "sorted_word", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "word_anagrams", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No anagrams found."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "anagram_list", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "name": "POST", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def POST(self):
form_word = input_word()
if not form_word.validates():
return render.formtemplate(form_word)
else:
anagram_list=set()
sorted_word = ''.join(sorted(form_word.d.Word))
if word_anagrams[sorted_word]:
for word in word_anagrams[sorted_word]:
anagram_list.add(word)
else:
anagram_list.add("No anagrams found.")
return(anagram_list)
|
|
16,035
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "s", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}], "name": null, "type": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "finalbody": []}}], "name": "tryint", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tryint", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__version__", "value": {"_type": "Name", "_fields": {"id": "sa", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "map", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sa", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "__version__"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}], "name": "sa_version", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def sa_version():
if hasattr(sa, '__version__'):
def tryint(s):
try:
return int(s)
except (ValueError, TypeError):
return -1
return tuple(map(tryint, sa.__version__.split('.')))
return (0, 0, 0)
|
|
16,036
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"brown"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_python", "value": {"_type": "Name", "_fields": {"id": "User", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "interface", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "fixture", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": 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"_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_json", "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_json", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "interface", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}}}], "name": "test_serialize_unserialize_behavior", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "UserTest", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class UserTest(TestCase):
@fixture
def event(self):
return mock.Mock(spec=Event())
@fixture
def interface(self):
return User.to_python(dict(
id=1,
email='lol@example.com',
favorite_color='brown',
))
def test_path(self):
assert self.interface.get_path() == 'sentry.interfaces.User'
def test_serialize_behavior(self):
assert self.interface.to_json() == {
'id': 1,
'email': 'lol@example.com',
'data': {'favorite_color': 'brown'}
}
def test_serialize_unserialize_behavior(self):
result = type(self.interface).to_python(self.interface.to_json())
assert result.to_json() == self.interface.to_json()
|
|
16,037
|
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{"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dialect", "value": {"_type": "Name", "_fields": {"id": "engine", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "sqlite"}}]}}, "orelse": []}}]}}], "name": "withoutSqliteForeignKeys", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def withoutSqliteForeignKeys(engine, connection=None):
conn = connection
if engine.dialect.name == 'sqlite':
if conn is None:
conn = engine.connect()
# This context is not re-entrant. Ensure it.
assert not getattr(engine, 'fk_disabled', False)
engine.fk_disabled = True
conn.execute('pragma foreign_keys=OFF')
try:
yield
finally:
if engine.dialect.name == 'sqlite':
engine.fk_disabled = False
conn.execute('pragma foreign_keys=ON')
if connection is None:
conn.close()
|
|
16,038
|
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|
class MatrixDiagTest(test.TestCase):
def testVector(self):
with self.test_session(use_gpu=True):
v = np.array([1.0, 2.0, 3.0])
mat = np.diag(v)
v_diag = array_ops.matrix_diag(v)
self.assertEqual((3, 3), v_diag.get_shape())
self.assertAllEqual(v_diag.eval(), mat)
def _testBatchVector(self, dtype):
with self.test_session(use_gpu=True):
v_batch = np.array([[1.0, 0.0, 3.0], [4.0, 5.0, 6.0]]).astype(dtype)
mat_batch = np.array([[[1.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 3.0]],
[[4.0, 0.0, 0.0], [0.0, 5.0, 0.0],
[0.0, 0.0, 6.0]]]).astype(dtype)
v_batch_diag = array_ops.matrix_diag(v_batch)
self.assertEqual((2, 3, 3), v_batch_diag.get_shape())
self.assertAllEqual(v_batch_diag.eval(), mat_batch)
def testBatchVector(self):
self._testBatchVector(np.float32)
self._testBatchVector(np.float64)
self._testBatchVector(np.int32)
self._testBatchVector(np.int64)
self._testBatchVector(np.bool)
def testInvalidShape(self):
with self.assertRaisesRegexp(ValueError, "must be at least rank 1"):
array_ops.matrix_diag(0)
def testInvalidShapeAtEval(self):
with self.test_session(use_gpu=True):
v = array_ops.placeholder(dtype=dtypes_lib.float32)
with self.assertRaisesOpError("input must be at least 1-dim"):
array_ops.matrix_diag(v).eval(feed_dict={v: 0.0})
def testGrad(self):
shapes = ((3,), (7, 4))
with self.test_session(use_gpu=True):
for shape in shapes:
x = constant_op.constant(np.random.rand(*shape), np.float32)
y = array_ops.matrix_diag(x)
error = gradient_checker.compute_gradient_error(x,
x.get_shape().as_list(),
y,
y.get_shape().as_list())
self.assertLess(error, 1e-4)
|
|
16,039
|
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|
def _testBatchVector(self, dtype):
with self.test_session(use_gpu=True):
v_batch = np.array([[1.0, 0.0, 3.0], [4.0, 5.0, 6.0]]).astype(dtype)
mat_batch = np.array([[[1.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 3.0]],
[[4.0, 0.0, 0.0], [0.0, 5.0, 0.0],
[0.0, 0.0, 6.0]]]).astype(dtype)
v_batch_diag = array_ops.matrix_diag(v_batch)
self.assertEqual((2, 3, 3), v_batch_diag.get_shape())
self.assertAllEqual(v_batch_diag.eval(), mat_batch)
|
|
16,040
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "shapes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "For", 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[], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "testGrad", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testGrad(self):
shapes = ((3,), (7, 4))
with self.test_session(use_gpu=True):
for shape in shapes:
x = constant_op.constant(np.random.rand(*shape), np.float32)
y = array_ops.matrix_diag(x)
error = gradient_checker.compute_gradient_error(x,
x.get_shape().as_list(),
y,
y.get_shape().as_list())
self.assertLess(error, 1e-4)
|
|
16,041
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|
def testSquare(self):
with self.test_session(use_gpu=True):
v = np.array([1.0, 2.0, 3.0])
mat = np.array([[0.0, 1.0, 0.0], [1.0, 0.0, 1.0], [1.0, 1.0, 1.0]])
mat_set_diag = np.array([[1.0, 1.0, 0.0], [1.0, 2.0, 1.0],
[1.0, 1.0, 3.0]])
output = array_ops.matrix_set_diag(mat, v)
self.assertEqual((3, 3), output.get_shape())
self.assertAllEqual(mat_set_diag, output.eval())
|
|
16,042
|
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|
class MatrixSetDiagTest(test.TestCase):
def testSquare(self):
with self.test_session(use_gpu=True):
v = np.array([1.0, 2.0, 3.0])
mat = np.array([[0.0, 1.0, 0.0], [1.0, 0.0, 1.0], [1.0, 1.0, 1.0]])
mat_set_diag = np.array([[1.0, 1.0, 0.0], [1.0, 2.0, 1.0],
[1.0, 1.0, 3.0]])
output = array_ops.matrix_set_diag(mat, v)
self.assertEqual((3, 3), output.get_shape())
self.assertAllEqual(mat_set_diag, output.eval())
def testRectangular(self):
with self.test_session(use_gpu=True):
v = np.array([3.0, 4.0])
mat = np.array([[0.0, 1.0, 0.0], [1.0, 0.0, 1.0]])
expected = np.array([[3.0, 1.0, 0.0], [1.0, 4.0, 1.0]])
output = array_ops.matrix_set_diag(mat, v)
self.assertEqual((2, 3), output.get_shape())
self.assertAllEqual(expected, output.eval())
v = np.array([3.0, 4.0])
mat = np.array([[0.0, 1.0], [1.0, 0.0], [1.0, 1.0]])
expected = np.array([[3.0, 1.0], [1.0, 4.0], [1.0, 1.0]])
output = array_ops.matrix_set_diag(mat, v)
self.assertEqual((3, 2), output.get_shape())
self.assertAllEqual(expected, output.eval())
def _testSquareBatch(self, dtype):
with self.test_session(use_gpu=True):
v_batch = np.array([[-1.0, 0.0, -3.0], [-4.0, -5.0, -6.0]]).astype(dtype)
mat_batch = np.array([[[1.0, 0.0, 3.0], [0.0, 2.0, 0.0], [1.0, 0.0, 3.0]],
[[4.0, 0.0, 4.0], [0.0, 5.0, 0.0],
[2.0, 0.0, 6.0]]]).astype(dtype)
mat_set_diag_batch = np.array([[[-1.0, 0.0, 3.0], [0.0, 0.0, 0.0],
[1.0, 0.0, -3.0]],
[[-4.0, 0.0, 4.0], [0.0, -5.0, 0.0],
[2.0, 0.0, -6.0]]]).astype(dtype)
output = array_ops.matrix_set_diag(mat_batch, v_batch)
self.assertEqual((2, 3, 3), output.get_shape())
self.assertAllEqual(mat_set_diag_batch, output.eval())
def testSquareBatch(self):
self._testSquareBatch(np.float32)
self._testSquareBatch(np.float64)
self._testSquareBatch(np.int32)
self._testSquareBatch(np.int64)
self._testSquareBatch(np.bool)
def testRectangularBatch(self):
with self.test_session(use_gpu=True):
v_batch = np.array([[-1.0, -2.0], [-4.0, -5.0]])
mat_batch = np.array([[[1.0, 0.0, 3.0], [0.0, 2.0, 0.0]],
[[4.0, 0.0, 4.0], [0.0, 5.0, 0.0]]])
mat_set_diag_batch = np.array([[[-1.0, 0.0, 3.0], [0.0, -2.0, 0.0]],
[[-4.0, 0.0, 4.0], [0.0, -5.0, 0.0]]])
output = array_ops.matrix_set_diag(mat_batch, v_batch)
self.assertEqual((2, 2, 3), output.get_shape())
self.assertAllEqual(mat_set_diag_batch, output.eval())
def testInvalidShape(self):
with self.assertRaisesRegexp(ValueError, "must be at least rank 2"):
array_ops.matrix_set_diag(0, [0])
with self.assertRaisesRegexp(ValueError, "must be at least rank 1"):
array_ops.matrix_set_diag([[0]], 0)
def testInvalidShapeAtEval(self):
with self.test_session(use_gpu=True):
v = array_ops.placeholder(dtype=dtypes_lib.float32)
with self.assertRaisesOpError("input must be at least 2-dim"):
array_ops.matrix_set_diag(v, [v]).eval(feed_dict={v: 0.0})
with self.assertRaisesOpError(
r"but received input shape: \[1,1\] and diagonal shape: \[\]"):
array_ops.matrix_set_diag([[v]], v).eval(feed_dict={v: 0.0})
def testGrad(self):
shapes = ((3, 4, 4), (3, 3, 4), (3, 4, 3), (7, 4, 8, 8))
with self.test_session(use_gpu=True):
for shape in shapes:
x = constant_op.constant(
np.random.rand(*shape), dtype=dtypes_lib.float32)
diag_shape = shape[:-2] + (min(shape[-2:]),)
x_diag = constant_op.constant(
np.random.rand(*diag_shape), dtype=dtypes_lib.float32)
y = array_ops.matrix_set_diag(x, x_diag)
error_x = gradient_checker.compute_gradient_error(
x,
x.get_shape().as_list(), y,
y.get_shape().as_list())
self.assertLess(error_x, 1e-4)
error_x_diag = gradient_checker.compute_gradient_error(
x_diag,
x_diag.get_shape().as_list(), y,
y.get_shape().as_list())
self.assertLess(error_x_diag, 1e-4)
def testGradWithNoShapeInformation(self):
with self.test_session(use_gpu=True) as sess:
v = array_ops.placeholder(dtype=dtypes_lib.float32)
mat = array_ops.placeholder(dtype=dtypes_lib.float32)
grad_input = array_ops.placeholder(dtype=dtypes_lib.float32)
output = array_ops.matrix_set_diag(mat, v)
grads = gradients_impl.gradients(output, [mat, v], grad_ys=grad_input)
grad_input_val = np.random.rand(3, 3).astype(np.float32)
grad_vals = sess.run(
grads,
feed_dict={
v: 2 * np.ones(3),
mat: np.ones((3, 3)),
grad_input: grad_input_val
})
self.assertAllEqual(np.diag(grad_input_val), grad_vals[1])
self.assertAllEqual(grad_input_val - np.diag(np.diag(grad_input_val)),
grad_vals[0])
|
|
16,043
|
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|
def testRectangular(self):
with self.test_session(use_gpu=True):
v = np.array([3.0, 4.0])
mat = np.array([[0.0, 1.0, 0.0], [1.0, 0.0, 1.0]])
expected = np.array([[3.0, 1.0, 0.0], [1.0, 4.0, 1.0]])
output = array_ops.matrix_set_diag(mat, v)
self.assertEqual((2, 3), output.get_shape())
self.assertAllEqual(expected, output.eval())
v = np.array([3.0, 4.0])
mat = np.array([[0.0, 1.0], [1.0, 0.0], [1.0, 1.0]])
expected = np.array([[3.0, 1.0], [1.0, 4.0], [1.0, 1.0]])
output = array_ops.matrix_set_diag(mat, v)
self.assertEqual((3, 2), output.get_shape())
self.assertAllEqual(expected, output.eval())
|
|
16,044
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|
def _testSquareBatch(self, dtype):
with self.test_session(use_gpu=True):
v_batch = np.array([[-1.0, 0.0, -3.0], [-4.0, -5.0, -6.0]]).astype(dtype)
mat_batch = np.array([[[1.0, 0.0, 3.0], [0.0, 2.0, 0.0], [1.0, 0.0, 3.0]],
[[4.0, 0.0, 4.0], [0.0, 5.0, 0.0],
[2.0, 0.0, 6.0]]]).astype(dtype)
mat_set_diag_batch = np.array([[[-1.0, 0.0, 3.0], [0.0, 0.0, 0.0],
[1.0, 0.0, -3.0]],
[[-4.0, 0.0, 4.0], [0.0, -5.0, 0.0],
[2.0, 0.0, -6.0]]]).astype(dtype)
output = array_ops.matrix_set_diag(mat_batch, v_batch)
self.assertEqual((2, 3, 3), output.get_shape())
self.assertAllEqual(mat_set_diag_batch, output.eval())
|
|
16,045
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|
def testInvalidShapeAtEval(self):
with self.test_session(use_gpu=True):
v = array_ops.placeholder(dtype=dtypes_lib.float32)
with self.assertRaisesOpError("input must be at least 2-dim"):
array_ops.matrix_set_diag(v, [v]).eval(feed_dict={v: 0.0})
with self.assertRaisesOpError(
r"but received input shape: \[1,1\] and diagonal shape: \[\]"):
array_ops.matrix_set_diag([[v]], v).eval(feed_dict={v: 0.0})
|
|
16,046
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"Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mat_set_diag_batch", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "testRectangularBatch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testRectangularBatch(self):
with self.test_session(use_gpu=True):
v_batch = np.array([[-1.0, -2.0], [-4.0, -5.0]])
mat_batch = np.array([[[1.0, 0.0, 3.0], [0.0, 2.0, 0.0]],
[[4.0, 0.0, 4.0], [0.0, 5.0, 0.0]]])
mat_set_diag_batch = np.array([[[-1.0, 0.0, 3.0], [0.0, -2.0, 0.0]],
[[-4.0, 0.0, 4.0], [0.0, -5.0, 0.0]]])
output = array_ops.matrix_set_diag(mat_batch, v_batch)
self.assertEqual((2, 2, 3), output.get_shape())
self.assertAllEqual(mat_set_diag_batch, output.eval())
|
|
16,047
|
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"_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": {"_type": "Name", "_fields": {"id": "sess", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "testGradWithNoShapeInformation", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testGradWithNoShapeInformation(self):
with self.test_session(use_gpu=True) as sess:
v = array_ops.placeholder(dtype=dtypes_lib.float32)
mat = array_ops.placeholder(dtype=dtypes_lib.float32)
grad_input = array_ops.placeholder(dtype=dtypes_lib.float32)
output = array_ops.matrix_set_diag(mat, v)
grads = gradients_impl.gradients(output, [mat, v], grad_ys=grad_input)
grad_input_val = np.random.rand(3, 3).astype(np.float32)
grad_vals = sess.run(
grads,
feed_dict={
v: 2 * np.ones(3),
mat: np.ones((3, 3)),
grad_input: grad_input_val
})
self.assertAllEqual(np.diag(grad_input_val), grad_vals[1])
self.assertAllEqual(grad_input_val - np.diag(np.diag(grad_input_val)),
grad_vals[0])
|
|
16,048
|
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"Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_shape", "value": {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute_gradient_error", "value": {"_type": "Name", "_fields": {"id": "gradient_checker", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "error_x_diag", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "error_x_diag", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0001}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertLess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "shapes", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "shape", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "testGrad", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testGrad(self):
shapes = ((3, 4, 4), (3, 3, 4), (3, 4, 3), (7, 4, 8, 8))
with self.test_session(use_gpu=True):
for shape in shapes:
x = constant_op.constant(
np.random.rand(*shape), dtype=dtypes_lib.float32)
diag_shape = shape[:-2] + (min(shape[-2:]),)
x_diag = constant_op.constant(
np.random.rand(*diag_shape), dtype=dtypes_lib.float32)
y = array_ops.matrix_set_diag(x, x_diag)
error_x = gradient_checker.compute_gradient_error(
x,
x.get_shape().as_list(), y,
y.get_shape().as_list())
self.assertLess(error_x, 1e-4)
error_x_diag = gradient_checker.compute_gradient_error(
x_diag,
x_diag.get_shape().as_list(), y,
y.get_shape().as_list())
self.assertLess(error_x_diag, 1e-4)
|
|
16,049
|
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|
class MatrixDiagPartTest(test.TestCase):
def testSquare(self):
with self.test_session(use_gpu=True):
v = np.array([1.0, 2.0, 3.0])
mat = np.diag(v)
mat_diag = array_ops.matrix_diag_part(mat)
self.assertEqual((3,), mat_diag.get_shape())
self.assertAllEqual(mat_diag.eval(), v)
def testRectangular(self):
with self.test_session(use_gpu=True):
mat = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
mat_diag = array_ops.matrix_diag_part(mat)
self.assertAllEqual(mat_diag.eval(), np.array([1.0, 5.0]))
mat = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])
mat_diag = array_ops.matrix_diag_part(mat)
self.assertAllEqual(mat_diag.eval(), np.array([1.0, 4.0]))
def _testSquareBatch(self, dtype):
with self.test_session(use_gpu=True):
v_batch = np.array([[1.0, 0.0, 3.0], [4.0, 5.0, 6.0]]).astype(dtype)
mat_batch = np.array([[[1.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 3.0]],
[[4.0, 0.0, 0.0], [0.0, 5.0, 0.0],
[0.0, 0.0, 6.0]]]).astype(dtype)
self.assertEqual(mat_batch.shape, (2, 3, 3))
mat_batch_diag = array_ops.matrix_diag_part(mat_batch)
self.assertEqual((2, 3), mat_batch_diag.get_shape())
self.assertAllEqual(mat_batch_diag.eval(), v_batch)
def testSquareBatch(self):
self._testSquareBatch(np.float32)
self._testSquareBatch(np.float64)
self._testSquareBatch(np.int32)
self._testSquareBatch(np.int64)
self._testSquareBatch(np.bool)
def testRectangularBatch(self):
with self.test_session(use_gpu=True):
v_batch = np.array([[1.0, 2.0], [4.0, 5.0]])
mat_batch = np.array([[[1.0, 0.0, 0.0], [0.0, 2.0, 0.0]],
[[4.0, 0.0, 0.0], [0.0, 5.0, 0.0]]])
self.assertEqual(mat_batch.shape, (2, 2, 3))
mat_batch_diag = array_ops.matrix_diag_part(mat_batch)
self.assertEqual((2, 2), mat_batch_diag.get_shape())
self.assertAllEqual(mat_batch_diag.eval(), v_batch)
def testInvalidShape(self):
with self.assertRaisesRegexp(ValueError, "must be at least rank 2"):
array_ops.matrix_diag_part(0)
def testInvalidShapeAtEval(self):
with self.test_session(use_gpu=True):
v = array_ops.placeholder(dtype=dtypes_lib.float32)
with self.assertRaisesOpError("input must be at least 2-dim"):
array_ops.matrix_diag_part(v).eval(feed_dict={v: 0.0})
def testGrad(self):
shapes = ((3, 3), (2, 3), (3, 2), (5, 3, 3))
with self.test_session(use_gpu=True):
for shape in shapes:
x = constant_op.constant(np.random.rand(*shape), dtype=np.float32)
y = array_ops.matrix_diag_part(x)
error = gradient_checker.compute_gradient_error(x,
x.get_shape().as_list(),
y,
y.get_shape().as_list())
self.assertLess(error, 1e-4)
|
|
16,050
|
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|
def testRectangular(self):
with self.test_session(use_gpu=True):
mat = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
mat_diag = array_ops.matrix_diag_part(mat)
self.assertAllEqual(mat_diag.eval(), np.array([1.0, 5.0]))
mat = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])
mat_diag = array_ops.matrix_diag_part(mat)
self.assertAllEqual(mat_diag.eval(), np.array([1.0, 4.0]))
|
|
16,051
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|
def _testSquareBatch(self, dtype):
with self.test_session(use_gpu=True):
v_batch = np.array([[1.0, 0.0, 3.0], [4.0, 5.0, 6.0]]).astype(dtype)
mat_batch = np.array([[[1.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 3.0]],
[[4.0, 0.0, 0.0], [0.0, 5.0, 0.0],
[0.0, 0.0, 6.0]]]).astype(dtype)
self.assertEqual(mat_batch.shape, (2, 3, 3))
mat_batch_diag = array_ops.matrix_diag_part(mat_batch)
self.assertEqual((2, 3), mat_batch_diag.get_shape())
self.assertAllEqual(mat_batch_diag.eval(), v_batch)
|
|
16,052
|
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Name", "_fields": {"id": "mat_batch_diag", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "v_batch", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "testRectangularBatch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testRectangularBatch(self):
with self.test_session(use_gpu=True):
v_batch = np.array([[1.0, 2.0], [4.0, 5.0]])
mat_batch = np.array([[[1.0, 0.0, 0.0], [0.0, 2.0, 0.0]],
[[4.0, 0.0, 0.0], [0.0, 5.0, 0.0]]])
self.assertEqual(mat_batch.shape, (2, 2, 3))
mat_batch_diag = array_ops.matrix_diag_part(mat_batch)
self.assertEqual((2, 2), mat_batch_diag.get_shape())
self.assertAllEqual(mat_batch_diag.eval(), v_batch)
|
|
16,053
|
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|
class DiagPartOpTest(test.TestCase):
def setUp(self):
np.random.seed(0)
def _diagPartOp(self, tensor, dtype, expected_ans, use_gpu):
with self.test_session(use_gpu=use_gpu):
tensor = ops.convert_to_tensor(tensor.astype(dtype))
tf_ans_inv = array_ops.diag_part(tensor)
inv_out = tf_ans_inv.eval()
self.assertAllClose(inv_out, expected_ans)
self.assertShapeEqual(expected_ans, tf_ans_inv)
def diagPartOp(self, tensor, dtype, expected_ans):
self._diagPartOp(tensor, dtype, expected_ans, False)
self._diagPartOp(tensor, dtype, expected_ans, True)
def testRankTwoFloatTensor(self):
x = np.random.rand(3, 3)
i = np.arange(3)
expected_ans = x[i, i]
self.diagPartOp(x, np.float32, expected_ans)
self.diagPartOp(x, np.float64, expected_ans)
def testRankFourFloatTensorUnknownShape(self):
x = np.random.rand(3, 3)
i = np.arange(3)
expected_ans = x[i, i]
for shape in None, (None, 3), (3, None):
with self.test_session(use_gpu=False):
t = ops.convert_to_tensor(x.astype(np.float32))
t.set_shape(shape)
tf_ans = array_ops.diag_part(t)
out = tf_ans.eval()
self.assertAllClose(out, expected_ans)
self.assertShapeEqual(expected_ans, tf_ans)
def testRankFourFloatTensor(self):
x = np.random.rand(2, 3, 2, 3)
i = np.arange(2)[:, None]
j = np.arange(3)
expected_ans = x[i, j, i, j]
self.diagPartOp(x, np.float32, expected_ans)
self.diagPartOp(x, np.float64, expected_ans)
def testRankSixFloatTensor(self):
x = np.random.rand(2, 2, 2, 2, 2, 2)
i = np.arange(2)[:, None, None]
j = np.arange(2)[:, None]
k = np.arange(2)
expected_ans = x[i, j, k, i, j, k]
self.diagPartOp(x, np.float32, expected_ans)
self.diagPartOp(x, np.float64, expected_ans)
def testRankEightComplexTensor(self):
x = np.random.rand(2, 2, 2, 3, 2, 2, 2, 3)
i = np.arange(2)[:, None, None, None]
j = np.arange(2)[:, None, None]
k = np.arange(2)[:, None]
l = np.arange(3)
expected_ans = x[i, j, k, l, i, j, k, l]
self.diagPartOp(x, np.complex64, expected_ans)
self.diagPartOp(x, np.complex128, expected_ans)
def testOddRank(self):
w = np.random.rand(2)
x = np.random.rand(2, 2, 2)
self.assertRaises(ValueError, self.diagPartOp, w, np.float32, 0)
self.assertRaises(ValueError, self.diagPartOp, x, np.float32, 0)
with self.assertRaises(ValueError):
array_ops.diag_part(0.0)
def testUnevenDimensions(self):
w = np.random.rand(2, 5)
x = np.random.rand(2, 1, 2, 3)
self.assertRaises(ValueError, self.diagPartOp, w, np.float32, 0)
self.assertRaises(ValueError, self.diagPartOp, x, np.float32, 0)
|
|
16,054
|
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|
def testGrad(self):
shapes = ((3, 3), (2, 3), (3, 2), (5, 3, 3))
with self.test_session(use_gpu=True):
for shape in shapes:
x = constant_op.constant(np.random.rand(*shape), dtype=np.float32)
y = array_ops.matrix_diag_part(x)
error = gradient_checker.compute_gradient_error(x,
x.get_shape().as_list(),
y,
y.get_shape().as_list())
self.assertLess(error, 1e-4)
|
|
16,055
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|
def testRankFourFloatTensorUnknownShape(self):
x = np.random.rand(3, 3)
i = np.arange(3)
expected_ans = x[i, i]
for shape in None, (None, 3), (3, None):
with self.test_session(use_gpu=False):
t = ops.convert_to_tensor(x.astype(np.float32))
t.set_shape(shape)
tf_ans = array_ops.diag_part(t)
out = tf_ans.eval()
self.assertAllClose(out, expected_ans)
self.assertShapeEqual(expected_ans, tf_ans)
|
|
16,056
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def testRankSixFloatTensor(self):
x = np.random.rand(2, 2, 2, 2, 2, 2)
i = np.arange(2)[:, None, None]
j = np.arange(2)[:, None]
k = np.arange(2)
expected_ans = x[i, j, k, i, j, k]
self.diagPartOp(x, np.float32, expected_ans)
self.diagPartOp(x, np.float64, expected_ans)
|
|
16,057
|
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|
def testRankEightComplexTensor(self):
x = np.random.rand(2, 2, 2, 3, 2, 2, 2, 3)
i = np.arange(2)[:, None, None, None]
j = np.arange(2)[:, None, None]
k = np.arange(2)[:, None]
l = np.arange(3)
expected_ans = x[i, j, k, l, i, j, k, l]
self.diagPartOp(x, np.complex64, expected_ans)
self.diagPartOp(x, np.complex128, expected_ans)
|
|
16,058
|
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|
class DiagGradOpTest(test.TestCase):
def testDiagGrad(self):
np.random.seed(0)
shapes = ((3,), (3, 3), (3, 3, 3))
dtypes = (dtypes_lib.float32, dtypes_lib.float64)
with self.test_session(use_gpu=False):
errors = []
for shape in shapes:
for dtype in dtypes:
x1 = constant_op.constant(np.random.rand(*shape), dtype=dtype)
y = array_ops.diag(x1)
error = gradient_checker.compute_gradient_error(
x1,
x1.get_shape().as_list(), y,
y.get_shape().as_list())
tf_logging.info("error = %f", error)
self.assertLess(error, 1e-4)
|
|
16,059
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|
def testDiagGrad(self):
np.random.seed(0)
shapes = ((3,), (3, 3), (3, 3, 3))
dtypes = (dtypes_lib.float32, dtypes_lib.float64)
with self.test_session(use_gpu=False):
errors = []
for shape in shapes:
for dtype in dtypes:
x1 = constant_op.constant(np.random.rand(*shape), dtype=dtype)
y = array_ops.diag(x1)
error = gradient_checker.compute_gradient_error(
x1,
x1.get_shape().as_list(), y,
y.get_shape().as_list())
tf_logging.info("error = %f", error)
self.assertLess(error, 1e-4)
|
|
16,060
|
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{"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_list", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_shape", "value": {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute_gradient_error", "value": {"_type": "Name", "_fields": {"id": "gradient_checker", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "error", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "error = %f"}}, {"_type": "Name", "_fields": {"id": "error", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "tf_logging", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "error", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0001}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertLess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "dtypes", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "shapes", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "shape", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "testDiagPartGrad", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "DiagGradPartOpTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class DiagGradPartOpTest(test.TestCase):
def testDiagPartGrad(self):
np.random.seed(0)
shapes = ((3, 3), (3, 3, 3, 3))
dtypes = (dtypes_lib.float32, dtypes_lib.float64)
with self.test_session(use_gpu=False):
errors = []
for shape in shapes:
for dtype in dtypes:
x1 = constant_op.constant(np.random.rand(*shape), dtype=dtype)
y = array_ops.diag_part(x1)
error = gradient_checker.compute_gradient_error(
x1,
x1.get_shape().as_list(), y,
y.get_shape().as_list())
tf_logging.info("error = %f", error)
self.assertLess(error, 1e-4)
|
|
16,061
|
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"Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "tf_logging", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "error", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0001}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertLess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "dtypes", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "shapes", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "shape", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "testDiagPartGrad", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testDiagPartGrad(self):
np.random.seed(0)
shapes = ((3, 3), (3, 3, 3, 3))
dtypes = (dtypes_lib.float32, dtypes_lib.float64)
with self.test_session(use_gpu=False):
errors = []
for shape in shapes:
for dtype in dtypes:
x1 = constant_op.constant(np.random.rand(*shape), dtype=dtype)
y = array_ops.diag_part(x1)
error = gradient_checker.compute_gradient_error(
x1,
x1.get_shape().as_list(), y,
y.get_shape().as_list())
tf_logging.info("error = %f", error)
self.assertLess(error, 1e-4)
|
|
16,062
|
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|
class Laplacian(Benchmark):
params = [
[30, 300, 900],
['dense', 'coo', 'csc', 'csr', 'dia'],
[True, False]
]
param_names = ['n', 'format', 'normed']
def setup(self, n, format, normed):
data = scipy.sparse.rand(9, n, density=0.5, random_state=42).toarray()
data = np.vstack((data, data))
diags = list(range(-9, 0)) + list(range(1, 10))
A = scipy.sparse.spdiags(data, diags, n, n)
if format == 'dense':
self.A = A.toarray()
else:
self.A = A.asformat(format)
def time_laplacian(self, n, format, normed):
laplacian(self.A, normed=normed)
|
|
16,063
|
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|
def setup(self, n, format, normed):
data = scipy.sparse.rand(9, n, density=0.5, random_state=42).toarray()
data = np.vstack((data, data))
diags = list(range(-9, 0)) + list(range(1, 10))
A = scipy.sparse.spdiags(data, diags, n, n)
if format == 'dense':
self.A = A.toarray()
else:
self.A = A.asformat(format)
|
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16,064
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Name", "_fields": {"id": "CourseFactory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "default_store", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Type", "value": {"_type": "Name", "_fields": {"id": "ModuleStoreEnum", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Name", "_fields": {"id": "ItemFactory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "category", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "chapter"}}}}, {"_type": "keyword", "_fields": {"arg": "parent_location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_course", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "store", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "chapter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "DanglingPointer"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "make_usage_key", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dangling_pointer", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dangling_pointer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update_item", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "store", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dangling_pointer", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "fix_not_found"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "unicode", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "call_command", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_course", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "store", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dangling_pointer", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "course", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_fix_not_found", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_fix_not_found(self):
course = CourseFactory.create(default_store=ModuleStoreEnum.Type.split)
ItemFactory.create(category='chapter', parent_location=course.location)
# get course again in order to update its children list
course = self.store.get_course(course.id)
# create a dangling usage key that we'll add to the course's children list
dangling_pointer = course.id.make_usage_key('chapter', 'DanglingPointer')
course.children.append(dangling_pointer)
self.store.update_item(course, self.user.id)
# the course block should now point to two children, one of which
# doesn't actually exist
self.assertEqual(len(course.children), 2)
self.assertIn(dangling_pointer, course.children)
call_command("fix_not_found", unicode(course.id))
# make sure the dangling pointer was removed from
# the course block's children
course = self.store.get_course(course.id)
self.assertEqual(len(course.children), 1)
self.assertNotIn(dangling_pointer, course.children)
|
|
16,065
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "_step", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n $('{selector}')\n .prop('disabled', false)\n .removeClass('is-disabled')\n .val('')\n .trigger('input');\n "}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "selector", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "url_inputs"}}, "value": {"_type": "Name", "_fields": {"id": "SELECTORS", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_script", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "browser", "value": {"_type": "Name", "_fields": {"id": "world", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "DELAY", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait", "value": {"_type": "Name", "_fields": {"id": "world", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait_for_ajax_complete", "value": {"_type": "Name", "_fields": {"id": "world", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "clear_fields", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def clear_fields(_step):
# Clear the input fields and trigger an 'input' event
script = """
$('{selector}')
.prop('disabled', false)
.removeClass('is-disabled')
.val('')
.trigger('input');
""".format(selector=SELECTORS['url_inputs'])
world.browser.execute_script(script)
world.wait(DELAY)
world.wait_for_ajax_complete()
|
|
16,066
|
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|
def test_multiplication():
a=Matrix((
(1, 2),
(3, 1),
(0, 6),
))
b = Matrix ((
(1, 2),
(3, 0),
))
c= a*b
assert c[0,0]==7
assert c[0,1]==2
assert c[1,0]==6
assert c[1,1]==6
assert c[2,0]==18
assert c[2,1]==0
x = Symbol("x")
c = b * Symbol("x")
assert isinstance(c,Matrix)
assert c[0,0] == x
assert c[0,1] == 2*x
assert c[1,0] == 3*x
assert c[1,1] == 0
c2 = x * b
assert c == c2
c = 5 * b
assert isinstance(c,Matrix)
assert c[0,0] == 5
assert c[0,1] == 2*5
assert c[1,0] == 3*5
assert c[1,1] == 0
|
|
16,067
|
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"_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cols", "value": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_creation", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_creation():
x = Symbol("x")
a = Matrix([x, 0], [0, 0])
m = a
assert m.cols == m.lines
assert m.cols == 2
assert m[:] == [x,0,0,0]
b = Matrix(2,2, [x, 0, 0, 0])
m = b
assert m.cols == m.lines
assert m.cols == 2
assert m[:] == [x,0,0,0]
assert a == b
|
|
16,068
|
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"_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "eye", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 10000000}}}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "eye", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "test_power", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_power():
A = Matrix([[2,3],[4,5]])
assert (A**5)[:] == [6140, 8097, 10796, 14237]
A = Matrix([[2, 1, 3],[4,2, 4], [6,12, 1]])
assert (A**3)[:] == [290, 262, 251, 448, 440, 368, 702, 954, 433]
assert A**0 == eye(3)
assert A**1 == A
assert (Matrix([[2]]) ** 100)[0,0] == 2**100
assert eye(2)**10000000 == eye(2)
|
|
16,069
|
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{}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "z", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "name": "test_determinant", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_determinant():
x, y, z = Symbol('x'), Symbol('y'), Symbol('z')
assert Matrix([ [1] ]).det() == 1
assert Matrix(( (-3, 2),
( 8, -5) )).det() == -1
assert Matrix(( (x, 1),
(y, 2*y) )).det() == 2*x*y-y
assert Matrix(( (1, 1, 1),
(1, 2, 3),
(1, 3, 6) )).det() == 1
assert Matrix(( ( 3, -2, 0, 5),
(-2, 1, -2, 2),
( 0, -2, 5, 0),
( 5, 0, 3, 4) )).det() == -289
assert Matrix(( ( 1, 2, 3, 4),
( 5, 6, 7, 8),
( 9, 10, 11, 12),
(13, 14, 15, 16) )).det() == 0
assert Matrix(( (3, 2, 0, 0, 0),
(0, 3, 2, 0, 0),
(0, 0, 3, 2, 0),
(0, 0, 0, 3, 2),
(2, 0, 0, 0, 3) )).det() == 275
assert Matrix(( (1, 0, 1, 2, 12),
(2, 0, 1, 1, 4),
(2, 1, 1, -1, 3),
(3, 2, -1, 1, 8),
(1, 1, 1, 0, 6) )).det() == -55
assert Matrix(( (-5, 2, 3, 4, 5),
( 1, -4, 3, 4, 5),
( 1, 2, -3, 4, 5),
( 1, 2, 3, -2, 5),
( 1, 2, 3, 4, -1) )).det() == 11664
assert Matrix(( ( 2, 7, -1, 3, 2),
( 0, 0, 1, 0, 1),
(-2, 0, 7, 0, 2),
(-3, -2, 4, 5, 3),
( 1, 0, 0, 0, 1) )).det() == 123
assert Matrix([ [x,y,z],[1,0,0],[y,z,x]] ).det() == z**2 - x*y
|
|
16,070
|
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|
def test_submatrix():
m0 = eye(4)
assert m0[0:3, 0:3] == eye(3)
assert m0[2:4, 0:2] == zero(2)
m1 = Matrix(3,3, lambda i,j: i+j)
assert m1[0,:] == Matrix(1,3,(0,1,2))
assert m1[1:3, 1] == Matrix(2,1,(2,3))
m2 = Matrix([0,1,2,3],[4,5,6,7],[8,9,10,11],[12,13,14,15])
assert m2[:,-1] == Matrix(4,1,[3,7,11,15])
assert m2[-2:,:] == Matrix([[8,9,10,11],[12,13,14,15]])
|
|
16,071
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{}}, "elts": [{"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "L", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Dee", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "U", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "M", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "L", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inv", "value": {"_type": "Name", "_fields": {"id": "Dee", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "right": {"_type": "Name", "_fields": {"id": "U", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "test_LUdecomp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_LUdecomp():
testmat = Matrix([[0,2,5,3],
[3,3,7,4],
[8,4,0,2],
[-2,6,3,4]])
L,U,p = testmat.LUdecomposition()
assert L.is_lower()
assert U.is_upper()
assert (L*U).permuteBkwd(p)-testmat == zero(4)
testmat = Matrix([[6,-2,7,4],
[0,3,6,7],
[1,-2,7,4],
[-9,2,6,3]])
L,U,p = testmat.LUdecomposition()
assert L.is_lower()
assert U.is_upper()
assert (L*U).permuteBkwd(p)-testmat == zero(4)
x, y, z = Symbol('x'), Symbol('y'), Symbol('z')
M = Matrix((1, x, 1), (2, y, 0), (y, 0, z))
L, U, p = M.LUdecomposition()
assert L.is_lower()
assert U.is_upper()
assert (L*U).permuteBkwd(p)-M == zero(3)
# test FF LUdecomp
M = Matrix([[1, 3, 3],
[3, 2, 6],
[3, 2, 2]])
P, L, Dee, U = M.LUdecompositionFF()
assert P*M == L*Dee.inv()*U
M = Matrix([[1, 2, 3, 4],
[3, -1, 2, 3],
[3, 1, 3, -2],
[6, -1, 0, 2]])
P, L, Dee, U = M.LUdecompositionFF()
assert P*M == L*Dee.inv()*U
|
|
16,072
|
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"Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "test_submatrix_assignment", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_submatrix_assignment():
m = zero(4)
m[2:4, 2:4] = eye(2)
assert m == Matrix((0,0,0,0),
(0,0,0,0),
(0,0,1,0),
(0,0,0,1))
m[0:2, 0:2] = eye(2)
assert m == eye(4)
m[:,0] = Matrix(4,1,(1,2,3,4))
assert m == Matrix((1,0,0,0),
(2,1,0,0),
(3,0,1,0),
(4,0,0,1))
m[:,:] = zero(4)
assert m == zero(4)
m[:,:] = ((1,2,3,4),(5,6,7,8),(9, 10, 11, 12),(13,14,15,16))
assert m == Matrix(((1,2,3,4),
(5,6,7,8),
(9, 10, 11, 12),
(13,14,15,16)))
m[0:2, 0] = [0,0]
assert m == Matrix(((0,2,3,4),
(0,6,7,8),
(9, 10, 11, 12),
(13,14,15,16)))
|
|
16,073
|
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] | 8
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "eye", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inv", "value": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "eye", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}]}}]}}], "func": {"_type": "Name", "_fields": {"id": "Matrix", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inv", "value": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "Ainv", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "Ainv", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "eye", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "LU"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inv", "value": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "Ainv2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "Ainv", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "Ainv2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_inverse", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_inverse():
A = eye(4)
assert A.inv() == eye(4)
A = Matrix([[2,3,5],
[3,6,2],
[8,3,6]])
Ainv = A.inv()
assert A*Ainv == eye(3)
Ainv2 = A.inv("LU")
assert Ainv == Ainv2
|
|
16,074
|
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|
def test_LUsolve():
A = Matrix([[2,3,5],
[3,6,2],
[8,3,6]])
x = Matrix(3,1,[3,7,5])
b = A*x
soln = A.LUsolve(b)
assert soln == x
A = Matrix([[0,-1,2],
[5,10,7],
[8,3,4]])
x = Matrix(3,1,[-1,2,5])
b = A*x
soln = A.LUsolve(b)
assert soln == x
|
|
16,075
|
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|
def test_util():
v1 = Matrix(1,3,[1,2,3])
v2 = Matrix(1,3,[3,4,5])
assert v1.cross(v2) == Matrix(1,3,[-2,4,-2])
assert v1.norm() == sqrt(14)
# cofactor
assert eye(3) == eye(3).cofactorMatrix()
test = Matrix([[1,3,2],[2,6,3],[2,3,6]])
assert test.cofactorMatrix() == Matrix([[27,-6,-6],[-12,2,3],[-3,1,0]])
test = Matrix([[1,2,3],[4,5,6],[7,8,9]])
assert test.cofactorMatrix() == Matrix([[-3,6,-3],[6,-12,6],[-3,6,-3]])
|
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16,076
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def test_jacobian_hessian():
x = Symbol('x')
y = Symbol('y')
L = Matrix(1,2,[x**2*y, 2*y**2 + x*y])
syms = [x,y]
assert L.jacobian(syms) == Matrix([[2*x*y, x**2],[y, 4*y+x]])
L = Matrix(1,2,[x, x**2*y**3])
assert L.jacobian(syms) == Matrix([[1, 0], [2*x*y**3, x**2*3*y**2]])
f = x**2*y
syms = [x,y]
assert hessian(f, syms) == Matrix([[2*y, 2*x], [2*x, 0]])
f = x**2*y**3
assert hessian(f, syms) == Matrix([[2*y**3, 6*x*y**2],[6*x*y**2, 6*x**2*y]])
|
|
16,077
|
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"BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}], "func": {"_type": "Name", "_fields": {"id": "R", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Name", "_fields": {"id": "Matrix", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "test_nullspace", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_nullspace():
# first test reduced row-ech form
R = Rational
M = Matrix([[5,7,2,1],
[1,6,2,-1]])
out, tmp = M.rref()
assert out == Matrix([[1,0,-R(2)/23,R(13)/23],
[0,1,R(8)/23, R(-6)/23]])
M = Matrix([[1,3,0,2,6,3,1],
[-2,-6,0,-2,-8,3,1],
[3,9,0,0,6,6,2],
[-1,-3,0,1,0,9,3]])
out, tmp = M.rref()
assert out == Matrix([[1,3,0,0,2,0,0],
[0,0,0,1,2,0,0],
[0,0,0,0,0,1,R(1)/3],
[0,0,0,0,0,0,0]])
# now check the vectors
basis = M.nullspace()
assert basis[0] == Matrix([-3,1,0,0,0,0,0])
assert basis[1] == Matrix([0,0,1,0,0,0,0])
assert basis[2] == Matrix([-2,0,0,-2,1,0,0])
assert basis[3] == Matrix([0,0,0,0,0,R(-1)/3, 1])
|
|
16,078
|
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|
def test_QR():
A = Matrix([[1,2],[2,3]])
Q, S = A.QRdecomposition()
R = Rational
assert Q == Matrix([[5**R(-1,2), (R(2)/5)*(R(1)/5)**R(-1,2)], [2*5**R(-1,2), (-R(1)/5)*(R(1)/5)**R(-1,2)]])
assert S == Matrix([[5**R(1,2), 8*5**R(-1,2)], [0, (R(1)/5)**R(1,2)]])
assert Q*S == A
assert Q.T * Q == eye(2)
A = Matrix([[1,1,1],[1,1,3],[2,3,4]])
Q, R = A.QRdecomposition()
assert Q*Q.T == eye(Q.lines)
assert R.is_upper()
assert A == Q*R
|
|
16,079
|
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|
def test_eigen():
# test charpoly
x = Symbol('x')
y = Symbol('y')
eye3 = eye(3)
assert eye3.charpoly(x) == ((1-x)**3).expand()
assert eye3.charpoly(y) == ((1-y)**3).expand()
# test values
M = Matrix([(0,1,-1),
(1,1,0),
(-1,0,1) ])
vals = M.eigenvals()
vals.sort()
assert vals == [[-1,1],[1,1],[2,1]]
# test vectors
R = Rational
M = Matrix([ [1,0,0],
[0,1,0],
[0,0,1]])
assert M.eigenvects() == [[1, 3, [Matrix([1,0,0]), Matrix([0,1,0]), Matrix([0,0,1])]]]
M = Matrix([ [5,0,2],
[3,2,0],
[0,0,1]])
assert M.eigenvects() == [[1, 1, [Matrix([R(-1)/2,R(3)/2,1])]],
[2, 1, [Matrix([0,1,0])]],
[5, 1, [Matrix([1,1,0])]]]
|
|
16,080
|
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|
def test_wronskian():
x = Symbol('x')
assert wronskian([cos(x), sin(x)], x) == cos(x)**2 + sin(x)**2
assert wronskian([exp(x), exp(2*x)], x) == exp(3*x)
assert wronskian([exp(x), x], x) == exp(x) - x*exp(x)
assert wronskian([1, x, x**2], x) == 2
assert wronskian([exp(x), cos(x), x**3], x).expand() == \
-6*exp(x)*sin(x)*x + 6*cos(x)*exp(x)*x**2 - 6*exp(x)*cos(x)*x - \
exp(x)*cos(x)*x**3 + exp(x)*sin(x)*x**3
|
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16,081
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|
def test_sparse_matrix():
return
def eye(n):
tmp = SMatrix(n,n,lambda i,j:0)
for i in range(tmp.lines):
tmp[i,i] = 1
return tmp
def zero(n):
return SMatrix(n,n,lambda i,j:0)
# test_multiplication
a=SMatrix((
(1, 2),
(3, 1),
(0, 6),
))
b = SMatrix ((
(1, 2),
(3, 0),
))
c= a*b
assert c[0,0]==7
assert c[0,1]==2
assert c[1,0]==6
assert c[1,1]==6
assert c[2,0]==18
assert c[2,1]==0
x = Symbol("x")
c = b * Symbol("x")
assert isinstance(c,SMatrix)
assert c[0,0] == x
assert c[0,1] == 2*x
assert c[1,0] == 3*x
assert c[1,1] == 0
c = 5 * b
assert isinstance(c,SMatrix)
assert c[0,0] == 5
assert c[0,1] == 2*5
assert c[1,0] == 3*5
assert c[1,1] == 0
#test_power
A = SMatrix([[2,3],[4,5]])
assert (A**5)[:] == [6140, 8097, 10796, 14237]
A = SMatrix([[2, 1, 3],[4,2, 4], [6,12, 1]])
assert (A**3)[:] == [290, 262, 251, 448, 440, 368, 702, 954, 433]
# test_creation
x = Symbol("x")
a = SMatrix([x, 0], [0, 0])
m = a
assert m.cols == m.lines
assert m.cols == 2
assert m[:] == [x,0,0,0]
b = SMatrix(2,2, [x, 0, 0, 0])
m = b
assert m.cols == m.lines
assert m.cols == 2
assert m[:] == [x,0,0,0]
assert a == b
# test_determinant
x, y = Symbol('x'), Symbol('y')
assert SMatrix([ [1] ]).det() == 1
assert SMatrix(( (-3, 2),
( 8, -5) )).det() == -1
assert SMatrix(( (x, 1),
(y, 2*y) )).det() == 2*x*y-y
assert SMatrix(( (1, 1, 1),
(1, 2, 3),
(1, 3, 6) )).det() == 1
assert SMatrix(( ( 3, -2, 0, 5),
(-2, 1, -2, 2),
( 0, -2, 5, 0),
( 5, 0, 3, 4) )).det() == -289
assert SMatrix(( ( 1, 2, 3, 4),
( 5, 6, 7, 8),
( 9, 10, 11, 12),
(13, 14, 15, 16) )).det() == 0
assert SMatrix(( (3, 2, 0, 0, 0),
(0, 3, 2, 0, 0),
(0, 0, 3, 2, 0),
(0, 0, 0, 3, 2),
(2, 0, 0, 0, 3) )).det() == 275
assert SMatrix(( (1, 0, 1, 2, 12),
(2, 0, 1, 1, 4),
(2, 1, 1, -1, 3),
(3, 2, -1, 1, 8),
(1, 1, 1, 0, 6) )).det() == -55
assert SMatrix(( (-5, 2, 3, 4, 5),
( 1, -4, 3, 4, 5),
( 1, 2, -3, 4, 5),
( 1, 2, 3, -2, 5),
( 1, 2, 3, 4, -1) )).det() == 11664
assert SMatrix(( ( 2, 7, -1, 3, 2),
( 0, 0, 1, 0, 1),
(-2, 0, 7, 0, 2),
(-3, -2, 4, 5, 3),
( 1, 0, 0, 0, 1) )).det() == 123
# test_submatrix
m0 = eye(4)
assert m0[0:3, 0:3] == eye(3)
assert m0[2:4, 0:2] == zero(2)
m1 = SMatrix(3,3, lambda i,j: i+j)
assert m1[0,:] == SMatrix(1,3,(0,1,2))
assert m1[1:3, 1] == SMatrix(2,1,(2,3))
m2 = SMatrix([0,1,2,3],[4,5,6,7],[8,9,10,11],[12,13,14,15])
assert m2[:,-1] == SMatrix(4,1,[3,7,11,15])
assert m2[-2:,:] == SMatrix([[8,9,10,11],[12,13,14,15]])
# test_submatrix_assignment
m = zero(4)
m[2:4, 2:4] = eye(2)
assert m == SMatrix((0,0,0,0),
(0,0,0,0),
(0,0,1,0),
(0,0,0,1))
m[0:2, 0:2] = eye(2)
assert m == eye(4)
m[:,0] = SMatrix(4,1,(1,2,3,4))
assert m == SMatrix((1,0,0,0),
(2,1,0,0),
(3,0,1,0),
(4,0,0,1))
m[:,:] = zero(4)
assert m == zero(4)
m[:,:] = ((1,2,3,4),(5,6,7,8),(9, 10, 11, 12),(13,14,15,16))
assert m == SMatrix(((1,2,3,4),
(5,6,7,8),
(9, 10, 11, 12),
(13,14,15,16)))
m[0:2, 0] = [0,0]
assert m == SMatrix(((0,2,3,4),
(0,6,7,8),
(9, 10, 11, 12),
(13,14,15,16)))
# test_reshape
m0 = eye(3)
assert m0.reshape(1,9) == SMatrix(1,9,(1,0,0,0,1,0,0,0,1))
m1 = SMatrix(3,4, lambda i,j: i+j)
assert m1.reshape(4,3) == SMatrix((0,1,2), (3,1,2), (3,4,2), (3,4,5))
assert m1.reshape(2,6) == SMatrix((0,1,2,3,1,2), (3,4,2,3,4,5))
# test_applyfunc
m0 = eye(3)
assert m0.applyfunc(lambda x:2*x) == eye(3)*2
assert m0.applyfunc(lambda x: 0 ) == zero(3)
# test_LUdecomp
testmat = SMatrix([[0,2,5,3],
[3,3,7,4],
[8,4,0,2],
[-2,6,3,4]])
L,U,p = testmat.LUdecomposition()
assert L.is_lower()
assert U.is_upper()
assert (L*U).permuteBkwd(p)-testmat == zero(4)
testmat = SMatrix([[6,-2,7,4],
[0,3,6,7],
[1,-2,7,4],
[-9,2,6,3]])
L,U,p = testmat.LUdecomposition()
assert L.is_lower()
assert U.is_upper()
assert (L*U).permuteBkwd(p)-testmat == zero(4)
x, y, z = Symbol('x'), Symbol('y'), Symbol('z')
M = Matrix((1, x, 1), (2, y, 0), (y, 0, z))
L, U, p = M.LUdecomposition()
assert L.is_lower()
assert U.is_upper()
assert (L*U).permuteBkwd(p)-M == zero(3)
# test_LUsolve
A = SMatrix([[2,3,5],
[3,6,2],
[8,3,6]])
x = SMatrix(3,1,[3,7,5])
b = A*x
soln = A.LUsolve(b)
assert soln == x
A = SMatrix([[0,-1,2],
[5,10,7],
[8,3,4]])
x = SMatrix(3,1,[-1,2,5])
b = A*x
soln = A.LUsolve(b)
assert soln == x
# test_inverse
A = eye(4)
assert A.inv() == eye(4)
A = SMatrix([[2,3,5],
[3,6,2],
[8,3,6]])
Ainv = A.inv()
assert A*Ainv == eye(3)
Ainv2 = A.inv("LU")
assert Ainv == Ainv2
# test_cross
v1 = Matrix(1,3,[1,2,3])
v2 = Matrix(1,3,[3,4,5])
assert v1.cross(v2) == Matrix(1,3,[-2,4,-2])
assert v1.norm(v1) == 14
# test_cofactor
assert eye(3) == eye(3).cofactorMatrix()
test = SMatrix([[1,3,2],[2,6,3],[2,3,6]])
assert test.cofactorMatrix() == SMatrix([[27,-6,-6],[-12,2,3],[-3,1,0]])
test = SMatrix([[1,2,3],[4,5,6],[7,8,9]])
assert test.cofactorMatrix() == SMatrix([[-3,6,-3],[6,-12,6],[-3,6,-3]])
# test_jacobian
x = Symbol('x')
y = Symbol('y')
L = SMatrix(1,2,[x**2*y, 2*y**2 + x*y])
syms = [x,y]
assert L.jacobian(syms) == Matrix([[2*x*y, x**2],[y, 4*y+x]])
L = SMatrix(1,2,[x, x**2*y**3])
assert L.jacobian(syms) == SMatrix([[1, 0], [2*x*y**3, x**2*3*y**2]])
# test_QR
A = Matrix([[1,2],[2,3]])
Q, S = A.QRdecomposition()
R = Rational
assert Q == Matrix([[5**R(-1,2), (R(2)/5)*(R(1)/5)**R(-1,2)], [2*5**R(-1,2), (-R(1)/5)*(R(1)/5)**R(-1,2)]])
assert S == Matrix([[5**R(1,2), 8*5**R(-1,2)], [0, (R(1)/5)**R(1,2)]])
assert Q*S == A
assert Q.T * Q == eye(2)
# test nullspace
# first test reduced row-ech form
R = Rational
M = Matrix([[5,7,2,1],
[1,6,2,-1]])
out, tmp = M.rref()
assert out == Matrix([[1,0,-R(2)/23,R(13)/23],
[0,1,R(8)/23, R(-6)/23]])
M = Matrix([[1,3,0,2,6,3,1],
[-2,-6,0,-2,-8,3,1],
[3,9,0,0,6,6,2],
[-1,-3,0,1,0,9,3]])
out, tmp = M.rref()
assert out == Matrix([[1,3,0,0,2,0,0],
[0,0,0,1,2,0,0],
[0,0,0,0,0,1,R(1)/3],
[0,0,0,0,0,0,0]])
# now check the vectors
basis = M.nullspace()
assert basis[0] == Matrix([[-3,1,0,0,0,0,0]])
assert basis[1] == Matrix([[0,0,1,0,0,0,0]])
assert basis[2] == Matrix([[-2,0,0,-2,1,0,0]])
assert basis[3] == Matrix([[0,0,0,0,0,R(-1)/3, 1]])
# test eigen
x = Symbol('x')
y = Symbol('y')
eye3 = eye(3)
assert eye3.charpoly(x) == (1-x)**3
assert eye3.charpoly(y) == (1-y)**3
# test values
M = Matrix([(0,1,-1),
(1,1,0),
(-1,0,1) ])
vals = M.eigenvals()
vals.sort()
assert vals == [-1, 1, 2]
R = Rational
M = Matrix([ [1,0,0],
[0,1,0],
[0,0,1]])
assert M.eigenvects() == [[1, 3, [Matrix(1,3,[1,0,0]), Matrix(1,3,[0,1,0]), Matrix(1,3,[0,0,1])]]]
M = Matrix([ [5,0,2],
[3,2,0],
[0,0,1]])
assert M.eigenvects() == [[1, 1, [Matrix(1,3,[R(-1)/2,R(3)/2,1])]],
[2, 1, [Matrix(1,3,[0,1,0])]],
[5, 1, [Matrix(1,3,[1,1,0])]]]
|
|
16,082
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] | 10
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|
def test_conjugate():
M = Matrix([ [0,I,5],
[1,2,0]])
assert M.T == Matrix([ [0,1],
[I,2],
[5,0]])
assert M.C == Matrix([ [0,-I,5],
[1,2,0]])
assert M.H == M.T.C
assert M.H == Matrix([ [0,1],
[-I,2],
[5,0]])
|
|
16,083
|
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"UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "I", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "I", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "I", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "I", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "I", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}]}}], "func": {"_type": "Name", "_fields": {"id": "Matrix", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "test_conj_dirac", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_conj_dirac():
py.test.raises(ShapeError, "eye(3).D")
M = Matrix([ [1,I,I,I],
[0,1,I,I],
[0,0,1,I],
[0,0,0,1] ])
assert M.D == Matrix([
[1,0,0,0],
[-I,1,0,0],
[-I,-I,-1,0],
[-I,-I,I,-1] ])
|
|
16,084
|
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] | 10
|
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|
def test_col_row():
x, y = symbols("xy")
M = Matrix([[x,0,0],
[0,y,0]])
M.row(1,lambda x,i: x+i+1)
assert M == Matrix([[x,0,0],
[1,y+2,3]])
M.col(0,lambda x,i: x+y**i)
assert M == Matrix([[x+1,0,0],
[1+y,y+2,3]])
|
|
16,085
|
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{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "ui", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "topic", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "opts", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ui", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "topic", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "opts", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Name", "_fields": {"id": "baseformatter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s = {\n"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_topic", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ui", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": 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{"_type": "Name", "_fields": {"id": "repr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ",\n"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ui", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "_showitem", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "end", "value": {"_type": "Name", "_fields": {"id": "baseformatter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "}\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ui", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "end", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "debugformatter", "bases": [{"_type": "Name", "_fields": {"id": "baseformatter", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class debugformatter(baseformatter):
def __init__(self, ui, topic, opts):
baseformatter.__init__(self, ui, topic, opts)
self._ui.write("%s = {\n" % self._topic)
def _showitem(self):
self._ui.write(" " + repr(self._item) + ",\n")
def end(self):
baseformatter.end(self)
self._ui.write("}\n")
|
|
16,086
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"_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Box", "value": {"_type": "Name", "_fields": {"id": "QFrame", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setFrameShape", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__hiddenText", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "__ConfigureWidgets", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __ConfigureWidgets(self):
# configures widgets in base class:
Viewer._ConfigureWidgets(self)
self.connect(self._btnLoad, SIGNAL('clicked()'), self.LoadImage)
B = self._border
Wi, Wb, Wt = self._imageWidth , self._btnWidth , self._textWidth
Hi, Hb, Ht = self._imageHeight, self._btnHeight, self._textHeight
# resizes, moves and connects the button "Decode":
self.__btnDecode.resize(Wb, Hb)
self.__btnDecode.move(B+Wi+B, B+Hb+B)
self.connect(self.__btnDecode, SIGNAL('clicked()'), self.Decode)
# resizes, moves and configures the text area:
self.__hiddenText.move(B, B+Hb+B/2+Hi+B)
self.__hiddenText.resize(Wt, Ht)
self.__hiddenText.setText("")
self.__hiddenText.setWordWrap(True)
self.__hiddenText.setFrameShape(QFrame.Box)
|
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16,087
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "autoreset", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "convert", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "strip", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "wrap", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", 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"_fields": {"id": "wrap_stream", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "orig_stderr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "convert", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "strip", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "autoreset", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "wrap", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "wrap_stream", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "stderr", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Global", "_fields": {"names": ["atexit_done"]}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reset_all", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "register", "value": {"_type": "Name", "_fields": {"id": "atexit", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "atexit_done", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "atexit_done", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "init", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def init(autoreset=False, convert=None, strip=None, wrap=True):
if wrap==False and (autoreset==True or convert==True or strip==True):
raise ValueError('wrap=False conflicts with any other arg=True')
sys.stdout = wrap_stream(orig_stdout, convert, strip, autoreset, wrap)
sys.stderr = wrap_stream(orig_stderr, convert, strip, autoreset, wrap)
global atexit_done
if not atexit_done:
atexit.register(reset_all)
atexit_done = True
|
|
16,088
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|
def test_delete_some_group(app, db, check_ui):
if len (db.get_group_list()) == 0:
app.group.create(Group(name="test"))
old_groups = db.get_group_list()
group = random.choice(old_groups)
app.group.delete_group_by_id(group.id)
new_groups = db.get_group_list()
assert len(old_groups) - 1 == len(new_groups)
old_groups.remove(group)
assert old_groups == new_groups
if check_ui:
assert sorted(new_groups, key=Group.id_or_max) == sorted(app.group.get_group_list(), key=Group.id_or_max)
|
|
16,089
|
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] | 10
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|
def create_from_object(session, sector):
data = Sector.get_schema_query(session, sector.uid).first()
if not data: data = Sector()
data.copy_from_object(sector)
for location in sector.locations:
location_data = Location.create_from_object(session, location)
if location_data: data.locations.append(location_data)
return data
|
|
16,090
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Repositories"}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "render_title", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "prompt", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": 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"_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "order", "value": {"_type": "Name", "_fields": {"id": "order", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "run", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def run(self, **kwargs):
self.prompt.render_title(_('Repositories'))
# Limit to only repositories of a specific type
if kwargs.get('str-eq', None) is None:
kwargs['str-eq'] = []
kwargs['str-eq'].append(['notes.%s' % constants.REPO_NOTE_TYPE_KEY, self.repo_type])
# Server call
repo_list = self.context.server.repo_search.search(**kwargs)
# Display the results
order = ['id', 'display_name', 'description']
self.prompt.render_document_list(repo_list, order=order)
|
|
16,091
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"position", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "position", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "Name", "_fields": {"id": "number_txt", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 255}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "Name", "_fields": {"id": "font", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "img", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Draw", "value": {"_type": "Name", "_fields": {"id": "ImageDraw", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "img", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "write_number", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def write_number(image_file_path, number=1):
img = Image.open(image_file_path)
font_size = img.size[0] if img.size[0] < img.size[1] else img.size[1]
font_size = font_size / 4
number_txt = str(number) + ' ' if number < 100 else '99+'
font = ImageFont.truetype("arial.ttf", size=font_size)
if font.getsize(number_txt)[0] > img.size[0] or font.getsize(number_txt)[1] > img.size[1]:
return img
position = img.size[0] - font.getsize(number_txt)[0]
ImageDraw.Draw(img).text((position, 0), number_txt, (255, 0, 0), font)
return img
|
|
16,092
|
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column type"}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "types", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colTypes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "types", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_confirm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _confirm(self,tblName):
conn = DbConnect(self.dbName,tblName)
res = conn.GetColumnNamesAndTypes()
assert len(res)==len(self.colHeads),'bad number of columns'
names = [x[0] for x in res]
for i in range(len(names)):
assert names[i].upper()==self.colHeads[i].upper(),'bad column head'
if RDConfig.useSqlLite:
# doesn't seem to be any column type info available
return
types = [x[1] for x in res]
for i in range(len(types)):
assert types[i]==self.colTypes[i],'bad column type'
|
|
16,093
|
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|
def test_kernel_gradient():
# Compare analytic and numeric gradient of kernels.
for kernel in kernels:
K, K_gradient = kernel(X, eval_gradient=True)
assert_equal(K_gradient.shape[0], X.shape[0])
assert_equal(K_gradient.shape[1], X.shape[0])
assert_equal(K_gradient.shape[2], kernel.theta.shape[0])
def eval_kernel_for_theta(theta):
kernel_clone = kernel.clone_with_theta(theta)
K = kernel_clone(X, eval_gradient=False)
return K
K_gradient_approx = \
_approx_fprime(kernel.theta, eval_kernel_for_theta, 1e-10)
assert_almost_equal(K_gradient, K_gradient_approx, 4)
|
|
16,094
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "kernel_white", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "K_auto", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "K_cross", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "K_auto", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "K_cross", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "kernels", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_auto_vs_cross", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_auto_vs_cross():
# Auto-correlation and cross-correlation should be consistent.
for kernel in kernels:
if kernel == kernel_white:
continue # Identity is not satisfied on diagonal
K_auto = kernel(X)
K_cross = kernel(X, X)
assert_almost_equal(K_auto, K_cross, 5)
|
|
16,095
|
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|
def test_kernel_operator_commutative():
# Adding kernels and multiplying kernels should be commutative.
# Check addition
assert_almost_equal((RBF(2.0) + 1.0)(X),
(1.0 + RBF(2.0))(X))
# Check multiplication
assert_almost_equal((3.0 * RBF(2.0))(X),
(RBF(2.0) * 3.0)(X))
|
|
16,096
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|
def test_kernel_anisotropic():
# Anisotropic kernel should be consistent with isotropic kernels.
kernel = 3.0 * RBF([0.5, 2.0])
K = kernel(X)
X1 = np.array(X)
X1[:, 0] *= 4
K1 = 3.0 * RBF(2.0)(X1)
assert_almost_equal(K, K1)
X2 = np.array(X)
X2[:, 1] /= 4
K2 = 3.0 * RBF(0.5)(X2)
assert_almost_equal(K, K2)
# Check getting and setting via theta
kernel.theta = kernel.theta + np.log(2)
assert_array_equal(kernel.theta, np.log([6.0, 1.0, 4.0]))
assert_array_equal(kernel.k2.length_scale, [1.0, 4.0])
|
|
16,097
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def test_matern_kernel():
# Test consistency of Matern kernel for special values of nu.
K = Matern(nu=1.5, length_scale=1.0)(X)
# the diagonal elements of a matern kernel are 1
assert_array_almost_equal(np.diag(K), np.ones(X.shape[0]))
# matern kernel for coef0==0.5 is equal to absolute exponential kernel
K_absexp = np.exp(-euclidean_distances(X, X, squared=False))
K = Matern(nu=0.5, length_scale=1.0)(X)
assert_array_almost_equal(K, K_absexp)
# test that special cases of matern kernel (coef0 in [0.5, 1.5, 2.5])
# result in nearly identical results as the general case for coef0 in
# [0.5 + tiny, 1.5 + tiny, 2.5 + tiny]
tiny = 1e-10
for nu in [0.5, 1.5, 2.5]:
K1 = Matern(nu=nu, length_scale=1.0)(X)
K2 = Matern(nu=nu + tiny, length_scale=1.0)(X)
assert_array_almost_equal(K1, K2)
|
|
16,098
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def test_kernel_clone():
# Test that sklearn's clone works correctly on kernels.
bounds = (1e-5, 1e5)
for kernel in kernels:
kernel_cloned = clone(kernel)
# XXX: Should this be fixed?
# This differs from the sklearn's estimators equality check.
assert_equal(kernel, kernel_cloned)
assert_not_equal(id(kernel), id(kernel_cloned))
# Check that all constructor parameters are equal.
assert_equal(kernel.get_params(), kernel_cloned.get_params())
# Check that all hyperparameters are equal.
yield check_hyperparameters_equal, kernel, kernel_cloned
# This test is to verify that using set_params does not
# break clone on kernels.
# This used to break because in kernels such as the RBF, non-trivial
# logic that modified the length scale used to be in the constructor
# See https://github.com/scikit-learn/scikit-learn/issues/6961
# for more details.
params = kernel.get_params()
# RationalQuadratic kernel is isotropic.
isotropic_kernels = (ExpSineSquared, RationalQuadratic)
if 'length_scale' in params and not isinstance(kernel,
isotropic_kernels):
length_scale = params['length_scale']
if np.iterable(length_scale):
params['length_scale'] = length_scale[0]
params['length_scale_bounds'] = bounds
else:
params['length_scale'] = [length_scale] * 2
params['length_scale_bounds'] = bounds * 2
kernel_cloned.set_params(**params)
kernel_cloned_clone = clone(kernel_cloned)
assert_equal(kernel_cloned_clone.get_params(),
kernel_cloned.get_params())
assert_not_equal(id(kernel_cloned_clone), id(kernel_cloned))
yield (check_hyperparameters_equal, kernel_cloned,
kernel_cloned_clone)
|
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|
def test_kernel_versus_pairwise():
# Check that GP kernels can also be used as pairwise kernels.
for kernel in kernels:
# Test auto-kernel
if kernel != kernel_white:
# For WhiteKernel: k(X) != k(X,X). This is assumed by
# pairwise_kernels
K1 = kernel(X)
K2 = pairwise_kernels(X, metric=kernel)
assert_array_almost_equal(K1, K2)
# Test cross-kernel
K1 = kernel(X, Y)
K2 = pairwise_kernels(X, Y, metric=kernel)
assert_array_almost_equal(K1, K2)
|
|
16,100
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{"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "theta", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exp", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hyperparameters", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "targets": [{"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bounds", "value": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "fixed"}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "n_elements", "value": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_params", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Load", "_fields": {}}}}}}], "values": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "right": {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "upper": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "theta", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exp", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "right": {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_params", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Load", "_fields": {}}}}}}], "values": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "theta", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exp", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hyperparameters", "value": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "hyperparameter", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "kernels", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "kernel", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_set_get_params", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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def test_set_get_params():
# Check that set_params()/get_params() is consistent with kernel.theta.
for kernel in kernels:
# Test get_params()
index = 0
params = kernel.get_params()
for hyperparameter in kernel.hyperparameters:
if hyperparameter.bounds == "fixed":
continue
size = hyperparameter.n_elements
if size > 1: # anisotropic kernels
assert_almost_equal(np.exp(kernel.theta[index:index + size]),
params[hyperparameter.name])
index += size
else:
assert_almost_equal(np.exp(kernel.theta[index]),
params[hyperparameter.name])
index += 1
# Test set_params()
index = 0
value = 10 # arbitrary value
for hyperparameter in kernel.hyperparameters:
if hyperparameter.bounds == "fixed":
continue
size = hyperparameter.n_elements
if size > 1: # anisotropic kernels
kernel.set_params(**{hyperparameter.name: [value] * size})
assert_almost_equal(np.exp(kernel.theta[index:index + size]),
[value] * size)
index += size
else:
kernel.set_params(**{hyperparameter.name: value})
assert_almost_equal(np.exp(kernel.theta[index]), value)
index += 1
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