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[ -0.0072172898799180984, -0.014249362982809544, 0.03106706775724888, -0.049712248146533966, 0.009878241457045078, -0.012174932286143303, 0.006667812820523977, 0.014805013313889503, 0.0011190194636583328, 0.034203410148620605, 0.01708935759961605, -0.04521764814853668, -0.0028955594170838594, ...
10
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def get_candidate(module): candidate = NetworkConfig(indent=1) if module.params['src']: candidate.load(module.params['src']) elif module.params['lines']: candidate.add(module.params['lines']) candidate = dumps(candidate, 'raw') return candidate
12,702
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8
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def save_config(module, result): result['changed'] = True if not module.check_mode: command = {"command": "save configuration", "prompt": "Do you want to save configuration", "answer": "y"} run_commands(module, command) else: module.warn('Skipping command `save configuration` ' 'due to check_mode. Configuration not copied to ' 'non-volatile storage')
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10
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"_fields": {"id": "thing_states", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "things", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "thing", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "thing_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expand_used_states", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "thing_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "used_states", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "weapon", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_states", "value": {"_type": "Name", "_fields": {"id": "WeaponStateFilter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "weapon_states", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "weapon_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expand_used_states", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "weapon", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "weapon_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "process_states", "value": {"_type": "Name", "_fields": {"id": "WeaponStateFilter", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "weapon_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "used_states", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "weapons", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "weapon", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "used_states", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "engine", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "engine_used_states", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "engine_used_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expand_used_states", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "engine_used_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "used_states", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "used_states", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "difference", "value": {"_type": "Name", "_fields": {"id": "state_indices", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "apply", "returns": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "Set", "ctx": {"_type": "Load", "_fields": {}}}}}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "UnusedStateFilter", "bases": [{"_type": "Name", "_fields": {"id": "StateFilterBase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class UnusedStateFilter(StateFilterBase): def apply(self, state_indices: Set[int]) -> Set[int]: used_states = set() # Add all states used by things. thing_states = set() for thing in self.patch.things: thing_states.update(ThingStateFilter.get_states(thing)) self.expand_used_states(thing_states) used_states.update(thing_states) # Add all states used by weapons. Weapon states are further processed per weapon to take care of the # usesExtraFlashState property of some actions. for weapon in self.patch.weapons: weapon_states = WeaponStateFilter.get_states(weapon) self.expand_used_states(weapon_states) WeaponStateFilter.process_states(self.patch, weapon, weapon_states) used_states.update(weapon_states) # Add states that are hardcoded by the engine. engine_used_states = set(self.patch.engine.used_states) self.expand_used_states(engine_used_states) used_states.update(engine_used_states) return state_indices.difference(used_states)
12,704
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def apply(self, state_indices: Set[int]) -> Set[int]: used_states = set() # Add all states used by things. thing_states = set() for thing in self.patch.things: thing_states.update(ThingStateFilter.get_states(thing)) self.expand_used_states(thing_states) used_states.update(thing_states) # Add all states used by weapons. Weapon states are further processed per weapon to take care of the # usesExtraFlashState property of some actions. for weapon in self.patch.weapons: weapon_states = WeaponStateFilter.get_states(weapon) self.expand_used_states(weapon_states) WeaponStateFilter.process_states(self.patch, weapon, weapon_states) used_states.update(weapon_states) # Add states that are hardcoded by the engine. engine_used_states = set(self.patch.engine.used_states) self.expand_used_states(engine_used_states) used_states.update(engine_used_states) return state_indices.difference(used_states)
12,705
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def echo(time: datetime.datetime, rdd: RDD[Tuple[str, int]]) -> None: # Get or register the excludeList Broadcast excludeList = getWordExcludeList(rdd.context) # Get or register the droppedWordsCounter Accumulator droppedWordsCounter = getDroppedWordsCounter(rdd.context) # Use excludeList to drop words and use droppedWordsCounter to count them def filterFunc(wordCount: Tuple[str, int]) -> bool: if wordCount[0] in excludeList.value: droppedWordsCounter.add(wordCount[1]) return False else: return True counts = "Counts at time %s %s" % (time, rdd.filter(filterFunc).collect()) print(counts) print("Dropped %d word(s) totally" % droppedWordsCounter.value) print("Appending to " + os.path.abspath(outputPath)) with open(outputPath, 'a') as f: f.write(counts + "\n")
12,706
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"left": {"_type": "Constant", "_fields": {"kind": null, "value": "Counts at time %s %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "collect", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filterFunc", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Name", "_fields": {"id": "rdd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "counts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "counts", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "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": "Dropped %d word(s) totally"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "droppedWordsCounter", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outputPath", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "echo", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "echo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "foreachRDD", "value": {"_type": "Name", "_fields": {"id": "wordCounts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ssc", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "createContext", "returns": {"_type": "Name", "_fields": {"id": "StreamingContext", "ctx": {"_type": "Load", "_fields": {}}}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def createContext(host: str, port: int, outputPath: str) -> StreamingContext: # If you do not see this printed, that means the StreamingContext has been loaded # from the new checkpoint print("Creating new context") if os.path.exists(outputPath): os.remove(outputPath) sc = SparkContext(appName="PythonStreamingRecoverableNetworkWordCount") ssc = StreamingContext(sc, 1) # Create a socket stream on target ip:port and count the # words in input stream of \n delimited text (e.g. generated by 'nc') lines = ssc.socketTextStream(host, port) words = lines.flatMap(lambda line: line.split(" ")) wordCounts = words.map(lambda x: (x, 1)).reduceByKey(lambda x, y: x + y) def echo(time: datetime.datetime, rdd: RDD[Tuple[str, int]]) -> None: # Get or register the excludeList Broadcast excludeList = getWordExcludeList(rdd.context) # Get or register the droppedWordsCounter Accumulator droppedWordsCounter = getDroppedWordsCounter(rdd.context) # Use excludeList to drop words and use droppedWordsCounter to count them def filterFunc(wordCount: Tuple[str, int]) -> bool: if wordCount[0] in excludeList.value: droppedWordsCounter.add(wordCount[1]) return False else: return True counts = "Counts at time %s %s" % (time, rdd.filter(filterFunc).collect()) print(counts) print("Dropped %d word(s) totally" % droppedWordsCounter.value) print("Appending to " + os.path.abspath(outputPath)) with open(outputPath, 'a') as f: f.write(counts + "\n") wordCounts.foreachRDD(echo) return ssc
12,707
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9
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"ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "hash", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "__hash__", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "<NameAttribute(oid={0.oid}, value={0.value!r})>"}}}}, "keywords": []}}}}], "name": "__repr__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "NameAttribute", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class NameAttribute(object): def __init__(self, oid, value): if not isinstance(oid, ObjectIdentifier): raise TypeError( "oid argument must be an ObjectIdentifier instance." ) if not isinstance(value, six.text_type): raise TypeError( "value argument must be a text type." ) self._oid = oid self._value = value oid = utils.read_only_property("_oid") value = utils.read_only_property("_value") def __eq__(self, other): if not isinstance(other, NameAttribute): return NotImplemented return ( self.oid == other.oid and self.value == other.value ) def __ne__(self, other): return not self == other def __hash__(self): return hash((self.oid, self.value)) def __repr__(self): return "<NameAttribute(oid={0.oid}, value={0.value!r})>".format(self)
12,708
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def run_test(tmpdir): assert(sys.platform.startswith('linux')) # due to OS-specific network stats queries, this test works only on Linux # find the first non-loopback interface for testing non_loopback_ip = None for name,ip in all_interfaces(): if ip != '127.0.0.1': non_loopback_ip = ip break if non_loopback_ip is None: assert(not 'This test requires at least one non-loopback IPv4 interface') print("Using interface %s for testing" % non_loopback_ip) defaultport = rpc_port(0) # check default without rpcallowip (IPv4 and IPv6 localhost) run_bind_test(tmpdir, None, '127.0.0.1', [], [('127.0.0.1', defaultport), ('::1', defaultport)]) # check default with rpcallowip (IPv6 any) run_bind_test(tmpdir, ['127.0.0.1'], '127.0.0.1', [], [('::0', defaultport)]) # check only IPv4 localhost (explicit) run_bind_test(tmpdir, ['127.0.0.1'], '127.0.0.1', ['127.0.0.1'], [('127.0.0.1', defaultport)]) # check only IPv4 localhost (explicit) with alternative port run_bind_test(tmpdir, ['127.0.0.1'], '127.0.0.1:32171', ['127.0.0.1:32171'], [('127.0.0.1', 32171)]) # check only IPv4 localhost (explicit) with multiple alternative ports on same host run_bind_test(tmpdir, ['127.0.0.1'], '127.0.0.1:32171', ['127.0.0.1:32171', '127.0.0.1:32172'], [('127.0.0.1', 32171), ('127.0.0.1', 32172)]) # check only IPv6 localhost (explicit) run_bind_test(tmpdir, ['[::1]'], '[::1]', ['[::1]'], [('::1', defaultport)]) # check both IPv4 and IPv6 localhost (explicit) run_bind_test(tmpdir, ['127.0.0.1'], '127.0.0.1', ['127.0.0.1', '[::1]'], [('127.0.0.1', defaultport), ('::1', defaultport)]) # check only non-loopback interface run_bind_test(tmpdir, [non_loopback_ip], non_loopback_ip, [non_loopback_ip], [(non_loopback_ip, defaultport)]) # Check that with invalid rpcallowip, we are denied run_allowip_test(tmpdir, [non_loopback_ip], non_loopback_ip, defaultport) try: run_allowip_test(tmpdir, ['1.1.1.1'], non_loopback_ip, defaultport) assert(not 'Connection not denied by rpcallowip as expected') except ValueError: pass
12,709
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"posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_attributes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "iter", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "__iter__", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_attributes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "__len__", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_attributes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "<Name({0!r})>"}}}}, "keywords": []}}}}], "name": "__repr__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Name", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Name(object): def __init__(self, attributes): self._attributes = attributes def get_attributes_for_oid(self, oid): return [i for i in self if i.oid == oid] def __eq__(self, other): if not isinstance(other, Name): return NotImplemented return self._attributes == other._attributes def __ne__(self, other): return not self == other def __hash__(self): # TODO: this is relatively expensive, if this looks like a bottleneck # for you, consider optimizing! return hash(tuple(self._attributes)) def __iter__(self): return iter(self._attributes) def __len__(self): return len(self._attributes) def __repr__(self): return "<Name({0!r})>".format(self._attributes)
12,710
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8
{"_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": "oid", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "oid argument must be an ObjectIdentifier instance."}}], "func": {"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "oid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ObjectIdentifier", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "value argument must be a text type."}}], "func": {"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "oid", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_oid", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_value", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, oid, value): if not isinstance(oid, ObjectIdentifier): raise TypeError( "oid argument must be an ObjectIdentifier instance." ) if not isinstance(value, six.text_type): raise TypeError( "value argument must be a text type." ) self._oid = oid self._value = value
12,711
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21
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def filter_by_and_query(username, customer_name, keys_to_pluck, key = AgentKey.ComputerName, count=30, offset=0, query=None, uri=None, method=None, conn=None): if query: count = ( r .table(AgentsCollection) .get_all(customer_name, index=AgentKey.CustomerName) .filter( (r.row[AgentKey.ComputerName].match("(?i)"+query)) ) .count() .run(conn) ) data = list( r .table(AgentsCollection) .get_all(customer_name, index=AgentKey.CustomerName) .filter( (r.row[key].match("(?i)"+query)) ) .pluck(keys_to_pluck) .skip(offset) .limit(count) .run(conn) ) else: count = ( r .table(AgentsCollection) .get_all(customer_name, index=AgentKey.CustomerName) .count() .run(conn) ) data = list( r .table(AgentsCollection) .get_all(customer_name, index=AgentKey.CustomerName) .pluck(keys_to_pluck) .skip(offset) .limit(count) .run(conn) ) return(data)
12,712
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21
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def get_all_agentids(username, customer_name, count=30, offset=0, uri=None, method=None, conn=None): try: count = ( r .table(AgentsCollection) .get_all(customer_name, index=AgentKey.CustomerName) .count() .run(conn) ) data = list( r .table(AgentsCollection) .get_all(customer_name, index=AgentKey.CustomerName) .pluck(AgentKey.AgentId) .order_by(AgentKey.ComputerName) .skip(offset) .limit(count) .run(conn) ) if data: for agent in data: agent[BASIC_RV_STATS] = ( get_all_app_stats_by_agentid(agent[AgentKey.AgentId]) ) status = ( GenericResults( username, uri, method ).information_retrieved(data, count) ) logger.info(status['message']) except Exception as e: status = ( GenericResults( username, uri, method ).something_broke('get_all_agents', 'agent', e) ) return(status)
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def systems_os_details(username, customer_name, key, query, uri=None, method=None): keys_to_pluck = [AgentKey.ComputerName, AgentKey.OsCode, AgentKey.OsString, AgentKey.MachineType, AgentKey.SysArch] data = filter_by_and_query(username=username, customer_name=customer_name, key=key, query=query,keys_to_pluck=keys_to_pluck) try: data = data results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
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def system_hardware_details(agent_info): if agent_info: hardware_info=agent_info.get(AgentKey.Hardware) data={ "computer-name":agent_info.get(AgentKey.ComputerName), "cpu":hardware_info.get('cpu'), "disk":hardware_info.get('storage'), "display":hardware_info.get('display'), "ram":hardware_info.get('memory'), } return(data)
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def systems_network_details(username, customer_name, key, query, uri=None, method=None): network_stats=[] keys_to_pluck = [AgentKey.ComputerName, AgentKey.Hardware] data = filter_by_and_query(username=username, customer_name=customer_name, key=key, query=query,keys_to_pluck=keys_to_pluck) for d in data: network_data= { "computer_name" : d[AgentKey.ComputerName], "network" : d['hardware']['nic'] } network_stats.append(network_data) try: data = network_stats results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
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def systems_hardware_details (username, customer_name, key, query, uri=None, method=None): keys_to_pluck = [AgentKey.ComputerName, AgentKey.Hardware] data = filter_by_and_query(username=username, customer_name=customer_name, key=key, query=query,keys_to_pluck=keys_to_pluck) try: data = data results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
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[{"_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": "exception", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Systems_os_details"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "failed to retrieve data"}}, {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "something_broke", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "username", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": 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def systems_cpu_details (username, customer_name, key, query, uri=None, method=None): cpu_stats=[] keys_to_pluck = [AgentKey.ComputerName, AgentKey.MonitStats,] data = filter_by_and_query(username=username, customer_name=customer_name, key=key, query=query,keys_to_pluck=keys_to_pluck) for d in data: cpu_data = { "computer-name" : d[AgentKey.ComputerName], "last-updated-at": time.ctime(d[AgentKey.MonitStats]['timestamp']), "idle": d[AgentKey.MonitStats]['cpu']['idle'], "user":d[AgentKey.MonitStats]['cpu']['user'], "system":d[AgentKey.MonitStats]['cpu']['system'] } cpu_stats.append(cpu_data) try: data = cpu_stats results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
12,718
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11
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def systems_memory_stats(username, customer_name, key, query, uri=None, method=None): memory_stats = [] keys_to_pluck = [AgentKey.ComputerName, AgentKey.MonitStats,] data = filter_by_and_query(username=username, customer_name=customer_name, key=key, query=query, keys_to_pluck=keys_to_pluck) for d in data: memory_data = { "computer-name": d[AgentKey.ComputerName], "last-updated-at": time.ctime(d[AgentKey.MonitStats]['timestamp']), "total" : d[AgentKey.MonitStats]['memory']['total'], "used" : d[AgentKey.MonitStats]['memory']['used'], "used-percentage": d[AgentKey.MonitStats]['memory']['used_percent'], "free":d[AgentKey.MonitStats]['memory']['free'], "free-percent": d[AgentKey.MonitStats]['memory']['free_percent'], } memory_stats.append(memory_data) try: data = memory_stats results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
12,719
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11
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def system_disk_stats(agent_info): if agent_info: monit_stats=agent_info.get('monit_stats') if monit_stats: file_system=monit_stats.get('file_system') if file_system: data ={ "computer-name": agent_info.get(AgentKey.ComputerName), "disk-usage":file_system, } return(data)
12,720
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10
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def systems_disk_stats(username, customer_name, key, query, uri=None, method=None): fs_stats =[] keys_to_pluck = [AgentKey.ComputerName, AgentKey.MonitStats,] data = filter_by_and_query(username=username, customer_name=customer_name, key=key, query=query,keys_to_pluck=keys_to_pluck) for d in data: fs_data = { "computer-name": d[AgentKey.ComputerName], "disk-usage": d[AgentKey.MonitStats]['file_system'], } fs_stats.append(fs_data) try: data = fs_stats results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
12,721
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10
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def agents_last_updated(username, customer_name, os_code=None, tag_id=None, uri=None, method=None): agents_uptime_info=[] agentids=get_agentids(os_code=os_code, customer_name=customer_name, tag_id=tag_id) for agentid in agentids: agent_info=get_agent_info(agentid=agentid) last_updated=agent_last_updated(agent_info) if last_updated: agents_uptime_info.append(last_updated) try: data = agents_uptime_info results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
12,722
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def agent_last_updated(agent_info): if agent_info: last_updated= agent_info.get('last_agent_update') data = { "computer-name": agent_info.get(AgentKey.ComputerName), "last_agent_update": last_updated.strftime("%b %d %Y %H:%M:%S"), } return (data)
12,723
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def agents_reboot_pending(username, customer_name, os_code=None, tag_id=None, uri=None, method=None): agents_need_reboot = [] agents_not_need_reboot =[] agentids=get_agentids(os_code=os_code, customer_name=customer_name, tag_id=tag_id) for agentid in agentids: agent_info=get_agent_info(agentid=agentid) if agent_info: computer_name = agent_info.get('computer_name') needs_reboot= agent_info.get('needs_reboot') if needs_reboot == 'yes': agents_need_reboot.append(computer_name) elif needs_reboot == 'no' : agents_not_need_reboot.append(computer_name) data = { 'reboot_required': agents_need_reboot, 'reboot_not_required': agents_not_need_reboot, } try: data = data results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
12,724
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"GenericResults", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "agents_status", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def agents_status(username, customer_name, os_code=None, tag_id=None, uri=None, method=None): nodes_status=[] agents_up = [] agents_down = [] agentids=get_agentids(os_code=os_code, customer_name=customer_name, tag_id=tag_id) for agentid in agentids: agent_info=get_agent_info(agentid=agentid) computer_name = agent_info.get('computer_name') node_status=agent_status(agent_info) if node_status == 'down': agents_down.append(computer_name) elif node_status == 'up': agents_up.append(computer_name) data = { 'agents_up':agents_up, 'agents_down':agents_down, } try: data = data results = ( GenericResults( username, uri, method, ).information_retrieved(data, len(data)) ) except Exception as e: logger.exception(e) results = ( GenericResults( username, uri, method ).something_broke('Systems_os_details', 'failed to retrieve data', e) ) return(results)
12,725
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12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "client", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "image", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "enable", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "state", "value": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Cannot enable "}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": " image!"}}}}}}]}}}}], "test": {"_type": "Name", "_fields": {"id": "enable", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Cannot disable "}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": " image!"}}}}}}]}}}}]}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "READY"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "index", "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "DISABLED"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "index", "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "ERROR"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "index", "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "enable", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "READY"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "index", "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}]}}, {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "enable", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "DISABLED"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "index", "value": {"_type": "Name", "_fields": {"id": "IMAGE_STATES", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "image.enable"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "enable", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call", "value": {"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "check_mode", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_image_info", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "changed"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "enable_image", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def enable_image(module, client, image, enable): image.info() changed = False state = image.state if state not in [IMAGE_STATES.index('READY'), IMAGE_STATES.index('DISABLED'), IMAGE_STATES.index('ERROR')]: if enable: module.fail_json(msg="Cannot enable " + IMAGE_STATES[state] + " image!") else: module.fail_json(msg="Cannot disable " + IMAGE_STATES[state] + " image!") if ((enable and state != IMAGE_STATES.index('READY')) or (not enable and state != IMAGE_STATES.index('DISABLED'))): changed = True if changed and not module.check_mode: client.call('image.enable', image.id, enable) result = get_image_info(image) result['changed'] = changed return result
12,726
[ 0.004700095392763615, 0.03272232785820961, -0.013139556162059307, -0.007777880877256393, -0.012334153987467289, -0.0003703410329762846, -0.023678814992308617, 0.056700292974710464, 0.00451312679797411, 0.014428199268877506, 0.05103946849703789, -0.07649016380310059, -0.005324281752109528, ...
7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "client", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "predicate", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ImagePool", "value": {"_type": "Name", "_fields": {"id": "oca", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pool", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "pool", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "filter", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}}}]}}}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "predicate", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "pool", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}], "name": "get_image", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def get_image(module, client, predicate): pool = oca.ImagePool(client) # Filter -2 means fetch all images user can Use pool.info(filter=-2) for image in pool: if predicate(image): return image return None
12,727
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11
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[{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "changed"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "new_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "new_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_image_by_name", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tmp_image", "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": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Name '"}}, "right": {"_type": "Name", "_fields": {"id": "new_name", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "' is already taken by IMAGE with id="}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "tmp_image", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}}}]}}}}], "test": {"_type": "Name", "_fields": {"id": "tmp_image", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "image.rename"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "new_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call", "value": {"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "check_mode", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_image_info", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "changed"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "rename_image", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def rename_image(module, client, image, new_name): if new_name is None: module.fail_json(msg="'new_name' option has to be specified when the state is 'renamed'") if new_name == image.name: result = get_image_info(image) result['changed'] = False return result tmp_image = get_image_by_name(module, client, new_name) if tmp_image: module.fail_json(msg="Name '" + new_name + "' is already taken by IMAGE with id=" + str(tmp_image.id)) if not module.check_mode: client.call('image.rename', image.id, new_name) result = get_image_info(image) result['changed'] = True return result
12,728
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8
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def clone_image(module, client, image, new_name): if new_name is None: new_name = "Copy of " + image.name tmp_image = get_image_by_name(module, client, new_name) if tmp_image: result = get_image_info(tmp_image) result['changed'] = False return result if image.state == IMAGE_STATES.index('DISABLED'): module.fail_json(msg="Cannot clone DISABLED image") if not module.check_mode: new_id = client.call('image.clone', image.id, new_name) image = get_image_by_id(module, client, new_id) wait_for_ready(module, image) result = get_image_info(image) result['changed'] = True return result
12,729
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12
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def delete_image(module, client, image): if not image: return {'changed': False} if image.running_vms > 0: module.fail_json(msg="Cannot delete image. There are " + str(image.running_vms) + " VMs using it.") if not module.check_mode: client.call('image.delete', image.id) wait_for_delete(module, image) return {'changed': True}
12,730
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"Name", "_fields": {"id": "rename_image", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "renamed"}}]}}, "orelse": []}}]}}, {"_type": "Assign", "_fields": {"value": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "changed"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "changed"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], 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def main(): fields = { "api_url": {"required": False, "type": "str"}, "api_username": {"required": False, "type": "str"}, "api_password": {"required": False, "type": "str", "no_log": True}, "id": {"required": False, "type": "int"}, "name": {"required": False, "type": "str"}, "state": { "default": "present", "choices": ['present', 'absent', 'cloned', 'renamed'], "type": "str" }, "enabled": {"required": False, "type": "bool"}, "new_name": {"required": False, "type": "str"}, } module = AnsibleModule(argument_spec=fields, mutually_exclusive=[['id', 'name']], supports_check_mode=True) if not HAS_OCA: module.fail_json(msg='This module requires python-oca to work!') auth = get_connection_info(module) params = module.params id = params.get('id') name = params.get('name') state = params.get('state') enabled = params.get('enabled') new_name = params.get('new_name') client = oca.Client(auth.username + ':' + auth.password, auth.url) result = {} if not id and state == 'renamed': module.fail_json(msg="Option 'id' is required when the state is 'renamed'") image = get_image_instance(module, client, id, name) if not image and state != 'absent': if id: module.fail_json(msg="There is no image with id=" + str(id)) else: module.fail_json(msg="There is no image with name=" + name) if state == 'absent': result = delete_image(module, client, image) else: result = get_image_info(image) changed = False result['changed'] = False if enabled is not None: result = enable_image(module, client, image, enabled) if state == "cloned": result = clone_image(module, client, image, new_name) elif state == "renamed": result = rename_image(module, client, image, new_name) changed = changed or result['changed'] result['changed'] = changed module.exit_json(**result)
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"type_comment": null}}], "name": "test_not_implemented_rules", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestSPBuilder", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestSPBuilder(unittest.TestCase): def setUp(self): nest.ResetKernel() def test_synapse_initialisation_one_to_one(self): syn_model = 'static_synapse' syn_dict = {'model': syn_model, 'pre_synaptic_element': 'SE1', 'post_synaptic_element': 'SE2'} neurons = nest.Create('iaf_neuron', 2, { 'synaptic_elements': { 'SE1': {'z': 0.0, 'growth_rate': 0.0}, 'SE2': {'z': 0.0, 'growth_rate': 0.0} } }) nest.Connect(neurons, neurons, "one_to_one", syn_dict) status_list = nest.GetStatus(neurons, 'synaptic_elements') for status in status_list: self.assertEqual(1, status['SE1']['z_connected']) self.assertEqual(1, status['SE2']['z_connected']) def test_synapse_initialisation_all_to_all(self): syn_model = 'static_synapse' syn_dict = {'model': syn_model, 'pre_synaptic_element': 'SE1', 'post_synaptic_element': 'SE2'} neurons = nest.Create('iaf_neuron', 2, { 'synaptic_elements': { 'SE1': {'z': 0.0, 'growth_rate': 0.0}, 'SE2': {'z': 0.0, 'growth_rate': 0.0} } }) nest.Connect(neurons, neurons, "all_to_all", syn_dict) status_list = nest.GetStatus(neurons, 'synaptic_elements') for status in status_list: self.assertEqual(2, status['SE1']['z_connected']) self.assertEqual(2, status['SE2']['z_connected']) def test_not_implemented_rules(self): syn_model = 'static_synapse' syn_dict = {'model': syn_model, 'pre_synaptic_element': 'SE1', 'post_synaptic_element': 'SE2'} neurons = nest.Create('iaf_neuron', 2, { 'synaptic_elements': { 'SE1': {'z': 0.0, 'growth_rate': 0.0}, 'SE2': {'z': 0.0, 'growth_rate': 0.0} } }) for conn_dict in [ {'rule': 'fixed_indegree', 'indegree': 1}, {'rule': 'fixed_outdegree', 'outdegree': 1}, {'rule': 'fixed_total_number', 'N': 1}, {'rule': 'pairwise_bernoulli', 'p': 0.5}, ]: try: nest.Connect(neurons, neurons, conn_dict, syn_dict) except nest.NESTError as e: self.assertRegexpMatches( str(e), 'This connection rule is not implemented ' + 'for structural plasticity' )
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"_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "xml"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "selector", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "selector", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_register_namespaces", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "//%s"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "itertag", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xpath", "value": {"_type": "Name", "_fields": {"id": "selector", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "nodes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "iterator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "xml"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Selector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "html"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "selector", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "selector", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_register_namespaces", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "//%s"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "itertag", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xpath", "value": {"_type": "Name", "_fields": {"id": "selector", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "nodes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "iterator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "html"}}]}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Unsupported node iterator"}}], "func": {"_type": "Name", "_fields": {"id": "NotSupported", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}]}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "nodes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse_nodes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "parse", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def parse(self, response): if not hasattr(self, 'parse_node'): raise NotConfigured('You must define parse_node method in order to scrape this XML feed') response = self.adapt_response(response) if self.iterator == 'iternodes': nodes = self._iternodes(response) elif self.iterator == 'xml': selector = Selector(response, type='xml') self._register_namespaces(selector) nodes = selector.xpath('//%s' % self.itertag) elif self.iterator == 'html': selector = Selector(response, type='html') self._register_namespaces(selector) nodes = selector.xpath('//%s' % self.itertag) else: raise NotSupported('Unsupported node iterator') return self.parse_nodes(response, nodes)
12,733
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9
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"neurons", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "one_to_one"}}, {"_type": "Name", "_fields": {"id": "syn_dict", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Connect", "value": {"_type": "Name", "_fields": {"id": "nest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "neurons", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "synaptic_elements"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "GetStatus", "value": {"_type": "Name", "_fields": {"id": "nest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "status_list", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "z_connected"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "SE1"}}, "value": {"_type": "Name", "_fields": {"id": "status", "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": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "z_connected"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "SE2"}}, "value": {"_type": "Name", "_fields": {"id": "status", "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": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "status_list", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "status", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_synapse_initialisation_one_to_one", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_synapse_initialisation_one_to_one(self): syn_model = 'static_synapse' syn_dict = {'model': syn_model, 'pre_synaptic_element': 'SE1', 'post_synaptic_element': 'SE2'} neurons = nest.Create('iaf_neuron', 2, { 'synaptic_elements': { 'SE1': {'z': 0.0, 'growth_rate': 0.0}, 'SE2': {'z': 0.0, 'growth_rate': 0.0} } }) nest.Connect(neurons, neurons, "one_to_one", syn_dict) status_list = nest.GetStatus(neurons, 'synaptic_elements') for status in status_list: self.assertEqual(1, status['SE1']['z_connected']) self.assertEqual(1, status['SE2']['z_connected'])
12,734
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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": "Constant", "_fields": {"kind": null, "value": "static_synapse"}}, "targets": [{"_type": "Name", "_fields": {"id": "syn_model", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "model"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pre_synaptic_element"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "post_synaptic_element"}}], "values": [{"_type": "Name", "_fields": {"id": "syn_model", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "SE1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "SE2"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "syn_dict", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "iaf_neuron"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "synaptic_elements"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "SE1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "SE2"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "z"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "growth_rate"}}], "values": [{"_type": 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"neurons", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "all_to_all"}}, {"_type": "Name", "_fields": {"id": "syn_dict", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Connect", "value": {"_type": "Name", "_fields": {"id": "nest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "neurons", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "synaptic_elements"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "GetStatus", "value": {"_type": "Name", "_fields": {"id": "nest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "status_list", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "z_connected"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "SE1"}}, "value": {"_type": "Name", "_fields": {"id": "status", "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": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, 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"type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_synapse_initialisation_all_to_all(self): syn_model = 'static_synapse' syn_dict = {'model': syn_model, 'pre_synaptic_element': 'SE1', 'post_synaptic_element': 'SE2'} neurons = nest.Create('iaf_neuron', 2, { 'synaptic_elements': { 'SE1': {'z': 0.0, 'growth_rate': 0.0}, 'SE2': {'z': 0.0, 'growth_rate': 0.0} } }) nest.Connect(neurons, neurons, "all_to_all", syn_dict) status_list = nest.GetStatus(neurons, 'synaptic_elements') for status in status_list: self.assertEqual(2, status['SE1']['z_connected']) self.assertEqual(2, status['SE2']['z_connected'])
12,735
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11
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class TwitchAccount(ProviderAccount): def get_profile_url(self): return 'http://twitch.tv/' + self.account.extra_data.get('name') def get_avatar_url(self): return self.account.extra_data.get('logo') def to_str(self): dflt = super(TwitchAccount, self).to_str() return self.account.extra_data.get('name', dflt)
12,736
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10
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"left": {"_type": "Constant", "_fields": {"kind": null, "value": "This connection rule is not implemented "}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "for structural plasticity"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRegexpMatches", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NESTError", "value": {"_type": "Name", "_fields": {"id": "nest", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "rule"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "indegree"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "fixed_indegree"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "rule"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outdegree"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "fixed_outdegree"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "rule"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "N"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "fixed_total_number"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "rule"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "pairwise_bernoulli"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.5}}]}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "conn_dict", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_not_implemented_rules", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_not_implemented_rules(self): syn_model = 'static_synapse' syn_dict = {'model': syn_model, 'pre_synaptic_element': 'SE1', 'post_synaptic_element': 'SE2'} neurons = nest.Create('iaf_neuron', 2, { 'synaptic_elements': { 'SE1': {'z': 0.0, 'growth_rate': 0.0}, 'SE2': {'z': 0.0, 'growth_rate': 0.0} } }) for conn_dict in [ {'rule': 'fixed_indegree', 'indegree': 1}, {'rule': 'fixed_outdegree', 'outdegree': 1}, {'rule': 'fixed_total_number', 'N': 1}, {'rule': 'pairwise_bernoulli', 'p': 0.5}, ]: try: nest.Connect(neurons, neurons, conn_dict, syn_dict) except nest.NESTError as e: self.assertRegexpMatches( str(e), 'This connection rule is not implemented ' + 'for structural plasticity' )
12,737
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10
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class TwitchProvider(OAuth2Provider): id = 'twitch' name = 'Twitch' package = 'allauth.socialaccount.providers.twitch' account_class = TwitchAccount def extract_uid(self, data): return str(data['_id']) def extract_common_fields(self, data): return dict(username=data.get('name'), name=data.get('display_name'), email=data.get('email'))
12,738
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9
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class RetryTest(unittest.TestCase): tags = 'unittest', 'utils', 'retry' def test_fail_after_n_tries(self): x = RaisesNTypeErrors(5) x = retry(4, TypeError, 0.01, 'ERROR')(x) with self.assertRaises(TypeError): x() def test_succeeds_after_retries(self): x = RaisesNTypeErrors(5) x = retry(5, TypeError, 0.01, 'ERROR')(x) x()
12,739
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10
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class CartesianTest(unittest.TestCase): tags = 'unittest', 'utils', 'cartesian_product' def test_cartesian_product(self): cartesian_dict=cartesian_product({'param1':[1,2,3], 'param2':[42.0, 52.5]}, ('param1','param2')) result_dict = {'param1':[1,1,2,2,3,3],'param2': [42.0,52.5,42.0,52.5,42.0,52.5]} self.assertTrue(nested_equal(cartesian_dict,result_dict), '%s != %s' % (str(cartesian_dict),str(result_dict))) def test_cartesian_product_combined_params(self): cartesian_dict=cartesian_product( {'param1': [42.0, 52.5], 'param2':['a', 'b'],\ 'param3' : [1,2,3]}, (('param3',),('param1', 'param2'))) result_dict={'param3':[1,1,2,2,3,3],'param1' : [42.0,52.5,42.0,52.5,42.0,52.5], 'param2':['a','b','a','b','a','b']} self.assertTrue(nested_equal(cartesian_dict,result_dict), '%s != %s' % (str(cartesian_dict),str(result_dict)))
12,740
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9
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def test_cartesian_product(self): cartesian_dict=cartesian_product({'param1':[1,2,3], 'param2':[42.0, 52.5]}, ('param1','param2')) result_dict = {'param1':[1,1,2,2,3,3],'param2': [42.0,52.5,42.0,52.5,42.0,52.5]} self.assertTrue(nested_equal(cartesian_dict,result_dict), '%s != %s' % (str(cartesian_dict),str(result_dict)))
12,741
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9
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def test_cartesian_product_combined_params(self): cartesian_dict=cartesian_product( {'param1': [42.0, 52.5], 'param2':['a', 'b'],\ 'param3' : [1,2,3]}, (('param3',),('param1', 'param2'))) result_dict={'param3':[1,1,2,2,3,3],'param1' : [42.0,52.5,42.0,52.5,42.0,52.5], 'param2':['a','b','a','b','a','b']} self.assertTrue(nested_equal(cartesian_dict,result_dict), '%s != %s' % (str(cartesian_dict),str(result_dict)))
12,742
[ -0.001436398713849485, -0.023018859326839447, 0.047715798020362854, -0.031056612730026245, 0.014895986765623093, 0.01348542794585228, 0.009606391191482544, 0.005447675008326769, 0.06537210196256638, 0.008584952913224697, 0.004903515800833702, -0.012828788720071316, -0.0055905552580952644, ...
9
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{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "percentage_step", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "progressbar", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "time", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "shows_time", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": 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"_fields": {"id": "progressbar", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.005}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sleep", "value": {"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": 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"type_comment": null}}], "name": "test_progressbar_float", "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": "Name", "_fields": {"id": "get_root_logger", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 33}}, "targets": [{"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.005}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sleep", "value": {"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "progressbar", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "logger", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.005}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sleep", "value": {"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "progressbar", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "logger", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "GetLogger"}}}}]}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_progressbar_logging", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ProgressBarTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], 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class ProgressBarTest(unittest.TestCase): tags = 'unittest', 'utils', 'progress_bar' def test_progressbar(self): total = 55 percentage_step = 17 for irun in range(total): time.sleep(0.005) progressbar(irun, total, percentage_step) def test_progressbar_w_wo_time(self): total = 55 percentage_step = 17 shows_time = False for irun in range(total): time.sleep(0.005) s = progressbar(irun, total, percentage_step, time=True) if s and 'remaining' in s: shows_time = True self.assertTrue(shows_time) shows_time = False for irun in range(total): time.sleep(0.005) s = progressbar(irun, total, percentage_step, time=False) if s and 'remaining' in s: shows_time = True self.assertFalse(shows_time) def test_progressbar_resume(self): total = 55 for irun in range(total): time.sleep(0.005) progressbar(irun, total, 5) for irun in range(2*total): time.sleep(0.005) progressbar(irun, 2*total, 10) def test_progressbar_float(self): total = 55 for irun in range(total): time.sleep(0.005) progressbar(irun, total, 5.1) for irun in range(2*total): time.sleep(0.005) progressbar(irun, 2*total, 0.5) def test_progressbar_logging(self): logger = get_root_logger() total = 33 for irun in range(total): time.sleep(0.005) progressbar(irun, total, logger=logger) for irun in range(total): time.sleep(0.005) progressbar(irun, total, logger='GetLogger')
12,743
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def test_progressbar(self): total = 55 percentage_step = 17 for irun in range(total): time.sleep(0.005) progressbar(irun, total, percentage_step)
12,744
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"keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "shows_time", "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_progressbar_w_wo_time", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_progressbar_w_wo_time(self): total = 55 percentage_step = 17 shows_time = False for irun in range(total): time.sleep(0.005) s = progressbar(irun, total, percentage_step, time=True) if s and 'remaining' in s: shows_time = True self.assertTrue(shows_time) shows_time = False for irun in range(total): time.sleep(0.005) s = progressbar(irun, total, percentage_step, time=False) if s and 'remaining' in s: shows_time = True self.assertFalse(shows_time)
12,745
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def test_progressbar_float(self): total = 55 for irun in range(total): time.sleep(0.005) progressbar(irun, total, 5.1) for irun in range(2*total): time.sleep(0.005) progressbar(irun, 2*total, 0.5)
12,746
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def test_progressbar_resume(self): total = 55 for irun in range(total): time.sleep(0.005) progressbar(irun, total, 5) for irun in range(2*total): time.sleep(0.005) progressbar(irun, 2*total, 10)
12,747
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"value": 3}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "unique_elements", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_find_unique", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestFindUnique", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestFindUnique(unittest.TestCase): tags = 'unittest', 'utils', 'find_unique' def test_find_unique(self): paramA = Parameter('ggg', 33) paramA._explore([1, 2, 1, 2, 1, 2]) paramB = Parameter('hhh', 'a') paramB._explore(['a', 'a', 'a', 'a', 'b', 'b']) unique_elements = find_unique_points([paramA, paramB]) self.assertTrue(len(unique_elements) == 4) self.assertTrue(len(unique_elements[1][1]) == 2) self.assertTrue(len(unique_elements[3][1]) == 1) paramC = ArrayParameter('jjj', np.zeros((3,3))) paramC._explore([np.ones((3,3)), np.ones((3,3)), np.ones(499), np.ones((3,3)), np.zeros((3,3,3)), np.ones(1)]) unique_elements = find_unique_points([paramA, paramC]) self.assertTrue(len(unique_elements) == 5) self.assertTrue(len(unique_elements[1][1]) == 2) self.assertTrue(len(unique_elements[0][1]) == 1) unique_elements = find_unique_points([paramC, paramB]) self.assertTrue((len(unique_elements))==4) self.assertTrue(len(unique_elements[0][1])==3) self.assertTrue(len(unique_elements[3][1])==1)
12,748
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8
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def test_progressbar_logging(self): logger = get_root_logger() total = 33 for irun in range(total): time.sleep(0.005) progressbar(irun, total, logger=logger) for irun in range(total): time.sleep(0.005) progressbar(irun, total, logger='GetLogger')
12,749
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class TestDictionaryMethods(unittest.TestCase): tags = 'unittest', 'utils' def test_nest_dicitionary(self): mydict = {'a.b.c' : 4, 'a.c' : 5, 'd':4} nested = nest_dictionary(mydict, separator='.') expected = {'a':{'b':{'c':4}, 'c':5}, 'd':4} self.assertTrue(expected == nested) def test_flatten_dictionary(self): mydict = {'a':{'b':{'c':4}, 'c':5}, 'd':4} flattened = flatten_dictionary(mydict, separator='.') expected = {'a.b.c' : 4, 'a.c' : 5, 'd':4} self.assertTrue(flattened == expected)
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def test_find_unique(self): paramA = Parameter('ggg', 33) paramA._explore([1, 2, 1, 2, 1, 2]) paramB = Parameter('hhh', 'a') paramB._explore(['a', 'a', 'a', 'a', 'b', 'b']) unique_elements = find_unique_points([paramA, paramB]) self.assertTrue(len(unique_elements) == 4) self.assertTrue(len(unique_elements[1][1]) == 2) self.assertTrue(len(unique_elements[3][1]) == 1) paramC = ArrayParameter('jjj', np.zeros((3,3))) paramC._explore([np.ones((3,3)), np.ones((3,3)), np.ones(499), np.ones((3,3)), np.zeros((3,3,3)), np.ones(1)]) unique_elements = find_unique_points([paramA, paramC]) self.assertTrue(len(unique_elements) == 5) self.assertTrue(len(unique_elements[1][1]) == 2) self.assertTrue(len(unique_elements[0][1]) == 1) unique_elements = find_unique_points([paramC, paramB]) self.assertTrue((len(unique_elements))==4) self.assertTrue(len(unique_elements[0][1])==3) self.assertTrue(len(unique_elements[3][1])==1)
12,751
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12
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class ResultSortFuncTest(unittest.TestCase): tags = 'unittest', 'utils', 'result_sort' def result_sort_sorted(the_list, start_index=0): to_sort = the_list[start_index:] sorted_list = sorted(to_sort, key=lambda key: key[0]) for idx_count, elem in enumerate(sorted_list): the_list[idx_count+start_index] = elem return the_list def test_sort(self, start_index=0, n=100): to_sort = list(range(n)) # list for Python 3 random.shuffle(to_sort) to_sort = [(x,x) for x in to_sort] result_sort(to_sort, start_index) if start_index == 0: compare = [(x,x,) for x in range(n)] else: copy_to_sort = cp.deepcopy(to_sort) compare = result_sort(copy_to_sort, start_index) self.assertEqual(to_sort, compare) if start_index != 0: self.assertNotEqual(to_sort[:start_index], [(x,x,) for x in range(n)][:start_index]) def test_sort_with_index(self): self.test_sort(500, 1000)
12,752
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{"args": [{"_type": "Name", "_fields": {"id": "to_sort", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "deepcopy", "value": {"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "copy_to_sort", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "copy_to_sort", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "start_index", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "result_sort", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "compare", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "to_sort", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "compare", "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": []}}}}, {"_type": "If", "_fields": {"body": [{"_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": "Name", "_fields": {"id": "start_index", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "to_sort", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Name", "_fields": {"id": "start_index", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "start_index", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "name": "test_sort", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_sort(self, start_index=0, n=100): to_sort = list(range(n)) # list for Python 3 random.shuffle(to_sort) to_sort = [(x,x) for x in to_sort] result_sort(to_sort, start_index) if start_index == 0: compare = [(x,x,) for x in range(n)] else: copy_to_sort = cp.deepcopy(to_sort) compare = result_sort(copy_to_sort, start_index) self.assertEqual(to_sort, compare) if start_index != 0: self.assertNotEqual(to_sort[:start_index], [(x,x,) for x in range(n)][:start_index])
12,753
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class MyDummyList(Sequence): def __init__(self, *args, **kwargs): self._list = list(*args, **kwargs) def __len__(self): return self._list.__len__() def __getitem__(self, item): return self._list.__getitem__(item) def append(self, item): return self._list.append(item)
12,754
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"__contains__", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_set", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "__contains__", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__len__", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_set", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "__len__", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__iter__", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_set", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "__iter__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "MyDummySet", "bases": [{"_type": "Name", "_fields": {"id": "Set", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class MyDummySet(Set): def __init__(self, *args, **kwargs): self._set = set(*args, **kwargs) def __getattr__(self, item): return getattr(self._set, item) def __contains__(self, item): return self._set.__contains__(item) def __len__(self): return self._set.__len__() def __iter__(self): return self._set.__iter__()
12,755
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class MyDummyMapping(Mapping): def __init__(self, *args, **kwargs): self._dict = dict(*args, **kwargs) def __getitem__(self, item): return self._dict.__getitem__(item) def __iter__(self): return self._dict.__iter__() def __len__(self): return self._dict.__len__()
12,756
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class TestEqualityOperations(unittest.TestCase): tags = 'unittest', 'utils', 'equality' def test_nested_equal(self): self.assertTrue(nested_equal(4, 4)) self.assertFalse(nested_equal(4, 5)) self.assertFalse(nested_equal(5, 4)) self.assertTrue(nested_equal(4, np.int8(4))) self.assertTrue(nested_equal(np.int8(4), 4)) self.assertFalse(nested_equal(4, np.int8(5))) self.assertFalse(nested_equal( np.int8(5), 4)) frameA = pd.DataFrame(data={'a':[np.zeros((19,19))]}, dtype=object) frameB = pd.DataFrame(data={'a':[np.zeros((19,19))]}, dtype=object) self.assertTrue(nested_equal(frameA, frameB)) self.assertTrue(nested_equal(frameB, frameA)) frameB.loc[0,'a'][0,0] = 3 self.assertFalse(nested_equal(frameA, frameB)) self.assertFalse(nested_equal(frameB, frameA)) seriesA = pd.Series(data=[[np.zeros((19,19))]], dtype=object) seriesB = pd.Series(data=[[np.zeros((19,19))]], dtype=object) self.assertTrue(nested_equal(seriesA, seriesB)) self.assertTrue(nested_equal(seriesB, seriesA)) seriesA.loc[0] = 777 self.assertFalse(nested_equal(seriesA, seriesB)) self.assertFalse(nested_equal(seriesB, seriesA)) seriesA = pd.Series([1,2,3]) seriesB = pd.Series([1,2,3]) self.assertTrue(nested_equal(seriesA, seriesB)) self.assertTrue(nested_equal(seriesB, seriesA)) a = MyDummy() a.g = 4 b = MyDummy() b.g = 4 self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a.h = [1, 2, 42] b.h = [1, 2, 43] self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyWithSlots() a.a = 1 a.b = 2 b = MyDummyWithSlots2() b.a = 1 b.b = 2 self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummySet([1,2,3]) a.add(4) b = MyDummySet([1,2,3,4]) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummyList([1,2,3]) a.append(4) b = MyDummyList([1,2,3,4]) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummyMapping(a='b', c=42) b = MyDummyMapping(a='b', c=42) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummySet([1,2,3]) a.add(4) b = MyDummySet([1,2,3,5]) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyList([1,2,3]) a.append(5) b = MyDummyList([1,2,3,4]) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyMapping(a='b', c=a) b = MyDummyMapping(a='b', c=b) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyCMP(42) b = MyDummyCMP(42) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) b = MyDummyCMP(1) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) self.assertFalse(nested_equal(a, 22)) self.assertFalse(nested_equal(22, a)) self.assertFalse(nested_equal(None, a)) self.assertFalse(nested_equal(a, None)) self.assertTrue(nested_equal(None, None))
12,757
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11
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def test_nested_equal(self): self.assertTrue(nested_equal(4, 4)) self.assertFalse(nested_equal(4, 5)) self.assertFalse(nested_equal(5, 4)) self.assertTrue(nested_equal(4, np.int8(4))) self.assertTrue(nested_equal(np.int8(4), 4)) self.assertFalse(nested_equal(4, np.int8(5))) self.assertFalse(nested_equal( np.int8(5), 4)) frameA = pd.DataFrame(data={'a':[np.zeros((19,19))]}, dtype=object) frameB = pd.DataFrame(data={'a':[np.zeros((19,19))]}, dtype=object) self.assertTrue(nested_equal(frameA, frameB)) self.assertTrue(nested_equal(frameB, frameA)) frameB.loc[0,'a'][0,0] = 3 self.assertFalse(nested_equal(frameA, frameB)) self.assertFalse(nested_equal(frameB, frameA)) seriesA = pd.Series(data=[[np.zeros((19,19))]], dtype=object) seriesB = pd.Series(data=[[np.zeros((19,19))]], dtype=object) self.assertTrue(nested_equal(seriesA, seriesB)) self.assertTrue(nested_equal(seriesB, seriesA)) seriesA.loc[0] = 777 self.assertFalse(nested_equal(seriesA, seriesB)) self.assertFalse(nested_equal(seriesB, seriesA)) seriesA = pd.Series([1,2,3]) seriesB = pd.Series([1,2,3]) self.assertTrue(nested_equal(seriesA, seriesB)) self.assertTrue(nested_equal(seriesB, seriesA)) a = MyDummy() a.g = 4 b = MyDummy() b.g = 4 self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a.h = [1, 2, 42] b.h = [1, 2, 43] self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyWithSlots() a.a = 1 a.b = 2 b = MyDummyWithSlots2() b.a = 1 b.b = 2 self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummySet([1,2,3]) a.add(4) b = MyDummySet([1,2,3,4]) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummyList([1,2,3]) a.append(4) b = MyDummyList([1,2,3,4]) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummyMapping(a='b', c=42) b = MyDummyMapping(a='b', c=42) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) a = MyDummySet([1,2,3]) a.add(4) b = MyDummySet([1,2,3,5]) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyList([1,2,3]) a.append(5) b = MyDummyList([1,2,3,4]) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyMapping(a='b', c=a) b = MyDummyMapping(a='b', c=b) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) a = MyDummyCMP(42) b = MyDummyCMP(42) self.assertTrue(nested_equal(a, b)) self.assertTrue(nested_equal(b, a)) b = MyDummyCMP(1) self.assertFalse(nested_equal(a, b)) self.assertFalse(nested_equal(b, a)) self.assertFalse(nested_equal(a, 22)) self.assertFalse(nested_equal(22, a)) self.assertFalse(nested_equal(None, a)) self.assertFalse(nested_equal(a, None)) self.assertTrue(nested_equal(None, None))
12,758
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10
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class TestIteratorChain(unittest.TestCase): tags = 'unittest', 'utils', 'iterators' def test_next(self): l1 = (x for x in range(3)) l2 = iter([3,4,5]) l3 = iter([6]) l4 = iter([7,8]) chain = IteratorChain(l1, l2, l3) for irun in range(9): element = next(chain) self.assertEqual(irun, element) if irun == 4: chain.add(l4) def test_iter(self): l1 = (x for x in range(3)) l2 = iter([3,4,5]) l3 = iter([6]) l4 = iter([7,8]) chain = IteratorChain(l1, l2, l3) count = 0 elem_list = [] for elem in chain: self.assertEqual(elem, count) count += 1 elem_list.append(elem) if count == 3: chain.add(l4) self.assertEqual(len(elem_list), 9)
12,759
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9
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"Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "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": "count", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "elem", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "elem_list", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l4", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "chain", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "count", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "chain", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "elem", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "elem_list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_iter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_iter(self): l1 = (x for x in range(3)) l2 = iter([3,4,5]) l3 = iter([6]) l4 = iter([7,8]) chain = IteratorChain(l1, l2, l3) count = 0 elem_list = [] for elem in chain: self.assertEqual(elem, count) count += 1 elem_list.append(elem) if count == 3: chain.add(l4) self.assertEqual(len(elem_list), 9)
12,760
[ 0.040097229182720184, -0.024725081399083138, 0.030952652916312218, -0.06037735193967819, 0.044102322310209274, 0.030605390667915344, 0.02076628990471363, 0.031508274376392365, 0.018601687625050545, 0.004025349859148264, 0.004792220890522003, -0.02134506031870842, -0.022178491577506065, -0....
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": "GeneratorExp", "_fields": {"elt": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "l1", "ctx": {"_type": "Store", "_fields": 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{"id": "l3", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}]}}], "func": {"_type": "Name", "_fields": {"id": "iter", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "l4", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "l2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "l3", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "IteratorChain", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "chain", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "chain", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "next", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "element", "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": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l4", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "chain", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 9}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "irun", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_next", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_next(self): l1 = (x for x in range(3)) l2 = iter([3,4,5]) l3 = iter([6]) l4 = iter([7,8]) chain = IteratorChain(l1, l2, l3) for irun in range(9): element = next(chain) self.assertEqual(irun, element) if irun == 4: chain.add(l4)
12,761
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9
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "unittest"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "utils"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "naming"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "slots"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "test"}}], "func": {"_type": "Name", "_fields": {"id": "MyCustomLeaf", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "my_property", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vars", "value": {"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "v_my_property", "value": {"_type": "Name", "_fields": {"id": "cp", "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": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "v_my_other", "value": {"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_v_property", "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": "test"}}], "func": {"_type": "Name", "_fields": {"id": "MyCustomLeaf2", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "my_property", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vars", "value": {"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "v_my_property", "value": {"_type": "Name", "_fields": {"id": "cp", "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": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "v_my_other", "value": {"_type": "Name", "_fields": {"id": "cp", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_v_property_slots", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "NamingSchemeTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class NamingSchemeTest(unittest.TestCase): tags = 'unittest', 'utils', 'naming', 'slots' def test_v_property(self): cp = MyCustomLeaf('test') self.assertEqual(cp.vars.my_property, cp.v_my_property) with self.assertRaises(AttributeError): cp.v_my_other def test_v_property_slots(self): cp = MyCustomLeaf2('test') self.assertEqual(cp.vars.my_property, cp.v_my_property) with self.assertRaises(AttributeError): cp.v_my_other
12,762
[ 0.021425070241093636, -0.029048223048448563, 0.01048899907618761, -0.023775065317749977, -0.005588401574641466, -0.005774681456387043, -0.0143177704885602, -0.02171165496110916, 0.005880717653781176, -0.00999034196138382, 0.050255488604307175, -0.0035049307625740767, 0.043835993856191635, ...
9
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "unittest"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "utils"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "slots"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "Slots4", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "slot", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "hi"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ho"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "hu"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "he"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "__weakref__"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "all_slots", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "all_slots", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__all_slots__", "value": {"_type": "Name", "_fields": {"id": "slot", "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_all_slots", "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": "Name", "_fields": {"id": "Slots4", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "slot", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "hi"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ho"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "hu"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "he"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "__weakref__"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "all_slots", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "slot", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "pickle", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "pickle", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "new_slot", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "all_slots", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__all_slots__", "value": {"_type": "Name", "_fields": {"id": "new_slot", "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_pickling", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "SlotsTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class SlotsTest(unittest.TestCase): tags = 'unittest', 'utils', 'slots' def test_all_slots(self): slot = Slots4() all_slots = set(('hi', 'ho', 'hu', 'he', '__weakref__')) self.assertEqual(all_slots, slot.__all_slots__) def test_pickling(self): slot = Slots4() all_slots = set(('hi', 'ho', 'hu', 'he', '__weakref__')) new_slot = pickle.loads(pickle.dumps(slot)) self.assertEqual(all_slots, new_slot.__all_slots__)
12,763
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8
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{"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_no_match_no_init", "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": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "a", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 42}}}}, {"_type": "keyword", "_fields": {"arg": "f", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 43}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "kwargs_func", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_matching_kwargs", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "res", "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": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Name", "_fields": {"id": "res", "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": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 42}}], "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": "f"}}, {"_type": "Name", "_fields": {"id": "res", "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": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "f"}}, "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 43}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_kwargs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "MatchingkwargsTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class MatchingkwargsTest(unittest.TestCase): tags = 'unittest', 'utils', 'naming', 'argspec' def test_more_than_def(self): kwargs = dict(a=42, f=43) res = get_matching_kwargs(dummy, kwargs) self.assertEqual(len(res), 1) self.assertIn('a', res) self.assertEqual(res['a'], 42) def test_more_than_def_args(self): kwargs = dict(a=42, f=43) res = get_matching_kwargs(argsfunc, kwargs) self.assertEqual(len(res), 1) self.assertIn('a', res) self.assertEqual(res['a'], 42) def test_init_method(self): kwargs = dict(a=42, f=43) res = get_matching_kwargs(MyClass, kwargs) self.assertEqual(len(res), 1) self.assertIn('a', res) self.assertEqual(res['a'], 42) def test_no_match_no_init(self): kwargs = dict(a=42, f=43) res = get_matching_kwargs(MyClassNoInit, kwargs) self.assertEqual(len(res), 0) def test_kwargs(self): kwargs = dict(a=42, f=43) res = get_matching_kwargs(kwargs_func, kwargs) self.assertEqual(len(res), 2) self.assertIn('a', res) self.assertEqual(res['a'], 42) self.assertIn('f', res) self.assertEqual(res['f'], 43)
12,764
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7
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def test_kwargs(self): kwargs = dict(a=42, f=43) res = get_matching_kwargs(kwargs_func, kwargs) self.assertEqual(len(res), 2) self.assertIn('a', res) self.assertEqual(res['a'], 42) self.assertIn('f', res) self.assertEqual(res['f'], 43)
12,765
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12
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 60}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 20}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "process", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "callLater", "value": {"_type": "Name", "_fields": {"id": "reactor", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "process", "returns": null, 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def process(self): table_name = "log_{0}".format((datetime.datetime.now() + datetime.timedelta(hours=1)).strftime("%Y%m%d%H")) sqlstr = self.sql_tpl.format(table_name) with self.dbengine.begin() as conn: try: conn.execute(_sql(sqlstr)) log.msg("create table {0} success;".format(table_name)) except Exception as err: log.msg('create table error {0}'.format(err.message)) reactor.callLater(60 * 20, self.process, )
12,766
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13
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"attr": "callLater", "value": {"_type": "Name", "_fields": {"id": "reactor", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "process", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "CreateTableTask", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class CreateTableTask: def __init__(self, config): self.dbengine = get_engine(config) self.sql_tpl = 'mysql' in self.dbengine.driver and mysql_create_sql_tpl or create_sql_tpl def process(self): table_name = "log_{0}".format((datetime.datetime.now() + datetime.timedelta(hours=1)).strftime("%Y%m%d%H")) sqlstr = self.sql_tpl.format(table_name) with self.dbengine.begin() as conn: try: conn.execute(_sql(sqlstr)) log.msg("create table {0} success;".format(table_name)) except Exception as err: log.msg('create table error {0}'.format(err.message)) reactor.callLater(60 * 20, self.process, )
12,767
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12
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def __setstate__(self, data): self._fact_cache = data.get('fact_cache', defaultdict(dict)) self._nonpersistent_fact_cache = data.get('np_fact_cache', defaultdict(dict)) self._vars_cache = data.get('vars_cache', defaultdict(dict)) self._extra_vars = data.get('extra_vars', dict()) self._host_vars_files = data.get('host_vars_files', defaultdict(dict)) self._group_vars_files = data.get('group_vars_files', defaultdict(dict)) self._omit_token = data.get('omit_token', '__omit_place_holder__%s' % sha1(os.urandom(64)).hexdigest()) self._inventory = data.get('inventory', None) self._options_vars = data.get('options_vars', dict())
12,768
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11
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"_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_omit_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "defaultdict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_options_vars", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self): self._fact_cache = FactCache() self._nonpersistent_fact_cache = defaultdict(dict) self._vars_cache = defaultdict(dict) self._extra_vars = defaultdict(dict) self._host_vars_files = defaultdict(dict) self._group_vars_files = defaultdict(dict) self._inventory = None self._hostvars = None self._omit_token = '__omit_place_holder__%s' % sha1(os.urandom(64)).hexdigest() self._options_vars = defaultdict(dict)
12,769
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8
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def _get_cache_entry(self, play=None, host=None, task=None): play_id = "NONE" if play: play_id = play._uuid host_id = "NONE" if host: host_id = host.get_name() task_id = "NONE" if task: task_id = task._uuid return "PLAY:%s;HOST:%s;TASK:%s" % (play_id, host_id, task_id)
12,770
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def _get_delegated_vars(self, loader, play, task, existing_variables): # we unfortunately need to template the delegate_to field here, # as we're fetching vars before post_validate has been called on # the task that has been passed in vars_copy = existing_variables.copy() templar = Templar(loader=loader, variables=vars_copy) items = [] if task.loop is not None: if task.loop in lookup_loader: try: loop_terms = listify_lookup_plugin_terms(terms=task.loop_args, templar=templar, loader=loader, fail_on_undefined=True, convert_bare=False) items = lookup_loader.get(task.loop, loader=loader, templar=templar).run(terms=loop_terms, variables=vars_copy) except AnsibleUndefinedVariable as e: # This task will be skipped later due to this, so we just setup # a dummy array for the later code so it doesn't fail items = [None] else: raise AnsibleError("Unexpected failure in finding the lookup named '%s' in the available lookup plugins" % task.loop) else: items = [None] delegated_host_vars = dict() for item in items: # update the variables with the item value for templating, in case we need it if item is not None: vars_copy['item'] = item templar.set_available_variables(vars_copy) delegated_host_name = templar.template(task.delegate_to, fail_on_undefined=False) if delegated_host_name is None: raise AnsibleError(message="Undefined delegate_to host for task:", obj=task._ds) if delegated_host_name in delegated_host_vars: # no need to repeat ourselves, as the delegate_to value # does not appear to be tied to the loop item variable continue # a dictionary of variables to use if we have to create a new host below # we set the default port based on the default transport here, to make sure # we use the proper default for windows new_port = C.DEFAULT_REMOTE_PORT if C.DEFAULT_TRANSPORT == 'winrm': new_port = 5986 new_delegated_host_vars = dict( ansible_host=delegated_host_name, ansible_port=new_port, ansible_user=C.DEFAULT_REMOTE_USER, ansible_connection=C.DEFAULT_TRANSPORT, ) # now try to find the delegated-to host in inventory, or failing that, # create a new host on the fly so we can fetch variables for it delegated_host = None if self._inventory is not None: delegated_host = self._inventory.get_host(delegated_host_name) # try looking it up based on the address field, and finally # fall back to creating a host on the fly to use for the var lookup if delegated_host is None: if delegated_host_name in C.LOCALHOST: delegated_host = self._inventory.localhost else: for h in self._inventory.get_hosts(ignore_limits=True, ignore_restrictions=True): # check if the address matches, or if both the delegated_to host # and the current host are in the list of localhost aliases if h.address == delegated_host_name: delegated_host = h break else: delegated_host = Host(name=delegated_host_name) delegated_host.vars.update(new_delegated_host_vars) else: delegated_host = Host(name=delegated_host_name) delegated_host.vars.update(new_delegated_host_vars) # now we go fetch the vars for the delegated-to host and save them in our # master dictionary of variables to be used later in the TaskExecutor/PlayContext delegated_host_vars[delegated_host_name] = self.get_vars( loader=loader, play=play, host=delegated_host, task=task, include_delegate_to=False, include_hostvars=False, ) return delegated_host_vars
12,771
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11
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def clear_playbook_hostgroup_vars_files(self, path): for f in self._host_vars_files.keys(): keepers = [] for entry in self._host_vars_files[f]: if os.path.dirname(entry.path) != os.path.join(path, 'host_vars'): keepers.append(entry) self._host_vars_files[f] = keepers for f in self._group_vars_files.keys(): keepers = [] for entry in self._group_vars_files[f]: if os.path.dirname(entry.path) != os.path.join(path, 'group_vars'): keepers.append(entry) self._group_vars_files[f] = keepers
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class TestUpdateBuildingPreference(TestBrokerCommand): def test_000_justification(self): command = ["update_building_preference", "--building_pair", "utb1,utb2", "--archetype", "hacluster", "--prefer", "utb1"] self.justificationmissingtest(command, auth=True, msgcheck=False) def test_100_update_utb12(self): command = ["update_building_preference", "--building_pair", "utb1,utb2", "--archetype", "hacluster", "--prefer", "utb1"] + self.valid_just_tcm out = self.statustest(command) self.matchoutput(out, "Flushed 4/8 templates.", command) def test_105_show_utb12(self): command = ["show_building_preference", "--building_pair", "utb1,utb2", "--archetype", "hacluster"] out = self.commandtest(command) self.output_equals(out, """ Building Pair: utb1,utb2 Archetype: hacluster Prefer: utb1 """, command) def test_105_show_utb12_proto(self): # Different pair order command = ["show_building_preference", "--building_pair", "utb2,utb1", "--archetype", "hacluster", "--format", "proto"] pref = self.protobuftest(command, expect=1)[0] self.assertEqual(len(pref.location), 2) self.assertEqual(pref.location[0].location_type, "building") self.assertEqual(pref.location[0].name, "utb1") self.assertEqual(pref.location[1].location_type, "building") self.assertEqual(pref.location[1].name, "utb2") self.assertEqual(pref.prefer.location_type, "building") self.assertEqual(pref.prefer.name, "utb1") # TODO #self.assertEqual(pref.archetype.name, "hacluster") def test_105_cat_utbvcs2a(self): command = ["cat", "--cluster", "utbvcs2a", "--data"] out = self.commandtest(command) self.matchoutput(out, '"system/cluster/preferred_location/building" = "utb1";', command) def test_106_show_building_preference_utbvcs2a(self): command = ["show_building_preference", "--cluster", "utbvcs2a"] out = self.commandtest(command) self.matchoutput(out, 'Building Pair: utb1,utb2 Archetype: hacluster Prefer: utb1', command) def test_108_make_utbvcs2a(self): self.statustest(["make_cluster", "--cluster", "utbvcs2a"]) def test_200_single_building(self): command = ["update_building_preference", "--building_pair", "ut", "--archetype", "hacluster", "--prefer", "ut"] + self.valid_just_tcm out = self.badrequesttest(command) self.matchoutput(out, "should be two building codes", command) def test_201_three_buildings(self): command = ["update_building_preference", "--building_pair", "ut,utb1,utb2", "--archetype", "hacluster", "--prefer", "ut"] + self.valid_just_tcm out = self.badrequesttest(command) self.matchoutput(out, "should be two building codes", command) def test_202_repeated_building(self): command = ["update_building_preference", "--building_pair", "ut,ut", "--archetype", "hacluster", "--prefer", "ut"] + self.valid_just_tcm out = self.badrequesttest(command) self.matchoutput(out, "two different building codes", command) def test_203_preferred_outside(self): command = ["update_building_preference", "--building_pair", "utb1,utb2", "--archetype", "hacluster", "--prefer", "ut"] + self.valid_just_tcm out = self.badrequesttest(command) self.matchoutput(out, "Preferred building ut must be one of " "utb1 and utb2.", command) def test_210_update_missing_pair(self): command = ["update_building_preference", "--building_pair", "utb1,utb3", "--archetype", "hacluster", "--prefer", "utb3"] + self.valid_just_tcm out = self.notfoundtest(command) self.matchoutput(out, "Building pair utb1,utb3 does not have a " "preference for archetype hacluster.", command) def test_210_update_missing_archetype(self): command = ["update_building_preference", "--building_pair", "utb1,utb2", "--archetype", "esx_cluster", "--prefer", "utb2"] + self.valid_just_tcm out = self.notfoundtest(command) self.matchoutput(out, "Building pair utb1,utb2 does not have a " "preference for archetype esx_cluster.", command)
12,773
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12
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class VectorLayerBoundsAlgorithm(GeoAlgorithm): LAYER = 'LAYER' XMIN = 'XMIN' XMAX = 'XMAX' YMIN = 'YMIN' YMAX = 'YMAX' EXTENT = 'EXTENT' def defineCharacteristics(self): self.showInModeler = True self.showInToolbox = False self.name = self.tr('Vector layer bounds', 'VectorLayerBoundsAlgorithm') self.group = self.tr('Modeler-only tools', 'VectorLayerBoundsAlgorithm') self.addParameter(ParameterVector(self.LAYER, self.tr('Layer', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.XMIN, self.tr('min X', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.XMAX, self.tr('max X', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.YMIN, self.tr('min Y', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.YMAX, self.tr('max Y', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputExtent(self.EXTENT, self.tr('Extent', 'VectorLayerBoundsAlgorithm'))) def processAlgorithm(self, progress): uri = self.getParameterValue(self.LAYER) layer = dataobjects.getObjectFromUri(uri) self.setOutputValue(self.XMIN, layer.extent().xMinimum()) self.setOutputValue(self.XMAX, layer.extent().xMaximum()) self.setOutputValue(self.YMIN, layer.extent().yMinimum()) self.setOutputValue(self.YMAX, layer.extent().yMaximum()) self.setOutputValue(self.EXTENT, (layer.extent().xMinimum(), layer.extent().xMaximum(), layer.extent().yMinimum(), layer.extent().yMaximum()))
12,774
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9
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Name", "_fields": {"id": "pref", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "building"}}], "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Name", "_fields": {"id": "pref", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "utb1"}}], "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location_type", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Name", "_fields": {"id": "pref", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "building"}}], "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Name", "_fields": {"id": "pref", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "utb2"}}], "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "prefer", "value": {"_type": "Name", "_fields": {"id": "pref", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "building"}}], "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "prefer", "value": {"_type": "Name", "_fields": {"id": "pref", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "utb1"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_105_show_utb12_proto", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_105_show_utb12_proto(self): # Different pair order command = ["show_building_preference", "--building_pair", "utb2,utb1", "--archetype", "hacluster", "--format", "proto"] pref = self.protobuftest(command, expect=1)[0] self.assertEqual(len(pref.location), 2) self.assertEqual(pref.location[0].location_type, "building") self.assertEqual(pref.location[0].name, "utb1") self.assertEqual(pref.location[1].location_type, "building") self.assertEqual(pref.location[1].name, "utb2") self.assertEqual(pref.prefer.location_type, "building") self.assertEqual(pref.prefer.name, "utb1")
12,775
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11
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{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "yMaximum", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extent", "value": {"_type": "Name", "_fields": {"id": "layer", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setOutputValue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "processAlgorithm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def processAlgorithm(self, progress): uri = self.getParameterValue(self.LAYER) layer = dataobjects.getObjectFromUri(uri) self.setOutputValue(self.XMIN, layer.extent().xMinimum()) self.setOutputValue(self.XMAX, layer.extent().xMaximum()) self.setOutputValue(self.YMIN, layer.extent().yMinimum()) self.setOutputValue(self.YMAX, layer.extent().yMaximum()) self.setOutputValue(self.EXTENT, (layer.extent().xMinimum(), layer.extent().xMaximum(), layer.extent().yMinimum(), layer.extent().yMaximum()))
12,776
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9
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def defineCharacteristics(self): self.showInModeler = True self.showInToolbox = False self.name = self.tr('Vector layer bounds', 'VectorLayerBoundsAlgorithm') self.group = self.tr('Modeler-only tools', 'VectorLayerBoundsAlgorithm') self.addParameter(ParameterVector(self.LAYER, self.tr('Layer', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.XMIN, self.tr('min X', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.XMAX, self.tr('max X', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.YMIN, self.tr('min Y', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputNumber(self.YMAX, self.tr('max Y', 'VectorLayerBoundsAlgorithm'))) self.addOutput(OutputExtent(self.EXTENT, self.tr('Extent', 'VectorLayerBoundsAlgorithm')))
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def _log(self, level, level_str, msg, exc): if level >= self.log_level: msg = self.format_str % {'lvl': level_str, 'msg': msg, } if exc: # java.lang.System.err.println(msg, exc) self.log_ctx.log(msg, exc) else: # java.lang.System.err.println(msg) self.log_ctx.log(msg)
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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": "msg", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "exc", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Name", "_fields": {"id": "FATAL", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "exc", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "fatal", "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": "level_string", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "level_string", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "levels_dict", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "log_level", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Invalid log level: '%s'"}}, "right": {"_type": "Name", "_fields": {"id": "level_string", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "BadParameter", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "set_log_level", "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": "format_string", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "debug", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "This is a log formatting test"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Bad format string: '%s'"}}, "right": {"_type": "Name", "_fields": {"id": "format_string", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "BadParameter", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "set_log_format", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "modjy_logger", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class modjy_logger: def __init__(self, context): self.log_ctx = context self.format_str = "%(lvl)s:\t%(msg)s" self.log_level = levels_dict[DEBUG] def _log(self, level, level_str, msg, exc): if level >= self.log_level: msg = self.format_str % {'lvl': level_str, 'msg': msg, } if exc: # java.lang.System.err.println(msg, exc) self.log_ctx.log(msg, exc) else: # java.lang.System.err.println(msg) self.log_ctx.log(msg) def debug(self, msg, exc=None): self._log(0, DEBUG, msg, exc) def info(self, msg, exc=None): self._log(1, INFO, msg, exc) def warn(self, msg, exc=None): self._log(2, WARN, msg, exc) def error(self, msg, exc=None): self._log(3, ERROR, msg, exc) def fatal(self, msg, exc=None): self._log(4, FATAL, msg, exc) def set_log_level(self, level_string): try: self.log_level = levels_dict[level_string] except KeyError: raise BadParameter("Invalid log level: '%s'" % level_string) def set_log_format(self, format_string): # BUG! Format string never actually used in this function. try: self._log(debug, "This is a log formatting test", None) except KeyError: raise BadParameter("Bad format string: '%s'" % format_string)
12,779
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7
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def test_type_compare(): assert mpf(2) == mpc(2,0) assert mpf(0) == mpc(0) assert mpf(2) != mpc(2, 0.00001) assert mpf(2) == 2.0 assert mpf(2) != 3.0 assert mpf(2) == 2 assert mpf(2) != '2.0' assert mpc(2) != '2.0'
12,780
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9
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"keywords": []}}}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "mpf", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}, {"_type": "Eq", "_fields": {}}], "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 6.0}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "mpf", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}], "func": {"_type": "Name", "_fields": {"id": "mpf", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}}}], "name": "test_mixed_misc", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_mixed_misc(): assert 1 + mpf(3) == mpf(3) + 1 == 4 assert 1 - mpf(3) == -(mpf(3) - 1) == -2 assert 3 * mpf(2) == mpf(2) * 3 == 6 assert 6 / mpf(2) == mpf(6) / 2 == 3 assert 1.0 + mpf(3) == mpf(3) + 1.0 == 4 assert 1.0 - mpf(3) == -(mpf(3) - 1.0) == -2 assert 3.0 * mpf(2) == mpf(2) * 3.0 == 6 assert 6.0 / mpf(2) == mpf(6) / 2.0 == 3
12,781
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def test_add_misc(): mp.dps = 15 assert mpf(4) + mpf(-70) == -66 assert mpf(1) + mpf(1.1)/80 == 1 + 1.1/80 assert mpf((1, 10000000000)) + mpf(3) == mpf((1, 10000000000)) assert mpf(3) + mpf((1, 10000000000)) == mpf((1, 10000000000)) assert mpf((1, -10000000000)) + mpf(3) == mpf(3) assert mpf(3) + mpf((1, -10000000000)) == mpf(3) assert mpf(1) + 1e-15 != 1 assert mpf(1) + 1e-20 == 1 assert mpf(1.07e-22) + 0 == mpf(1.07e-22) assert mpf(0) + mpf(1.07e-22) == mpf(1.07e-22)
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{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "from_int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "from_int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "prec", "value": {"_type": "Name", "_fields": {"id": "mp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "rounding", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mpf_mul", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "from_int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "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}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "d"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "u"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "f"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "n"}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "rounding", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Constant", "_fields": {"kind": null, "value": 25}}, {"_type": "Constant", "_fields": {"kind": null, "value": 40}}, {"_type": "Constant", "_fields": {"kind": null, "value": 100}}, {"_type": "Constant", "_fields": {"kind": null, "value": 250}}, {"_type": "Constant", "_fields": {"kind": null, "value": 725}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "prec", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 15}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "dps", "value": {"_type": "Name", "_fields": {"id": "mp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_exact_integer_arithmetic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_exact_integer_arithmetic(): # XXX: re-fix this so that all operations are tested with all rounding modes random.seed(0) for prec in [6, 10, 25, 40, 100, 250, 725]: for rounding in ['d', 'u', 'f', 'c', 'n']: mp.dps = prec M = 10**(prec-2) M2 = 10**(prec//2-2) for i in range(10): a = random.randint(-M, M) b = random.randint(-M, M) assert mpf(a, rounding=rounding) == a assert int(mpf(a, rounding=rounding)) == a assert int(mpf(str(a), rounding=rounding)) == a assert mpf(a) + mpf(b) == a + b assert mpf(a) - mpf(b) == a - b assert -mpf(a) == -a a = random.randint(-M2, M2) b = random.randint(-M2, M2) assert mpf(a) * mpf(b) == a*b assert mpf_mul(from_int(a), from_int(b), mp.prec, rounding) == from_int(a*b) mp.dps = 15
12,783
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8
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def validate(self): self.update_status() self.validate_reference_doctype() self.validate_submit_on_creation() self.validate_dates() self.validate_email_id() self.validate_auto_repeat_days() self.set_dates() self.update_auto_repeat_id() self.unlink_if_applicable() validate_template(self.subject or "") validate_template(self.message or "")
12,784
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7
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def test_monitor(): f = lambda x: x**2 a = [] b = [] g = monitor(f, a.append, b.append) assert g(3) == 9 assert g(4) == 16 assert a[0] == ((3,), {}) assert b[0] == 9
12,785
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10
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def validate_reference_doctype(self): if frappe.flags.in_test or frappe.flags.in_patch: return if not frappe.get_meta(self.reference_doctype).allow_auto_repeat: frappe.throw( _("Enable Allow Auto Repeat for the doctype {0} in Customize Form").format( self.reference_doctype ) )
12,786
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def validate_dates(self): if frappe.flags.in_patch: return if self.end_date: self.validate_from_to_dates("start_date", "end_date") if self.end_date == self.start_date: frappe.throw( _("{0} should not be same as {1}").format(frappe.bold("End Date"), frappe.bold("Start Date")) )
12,787
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def update_auto_repeat_id(self): # check if document is already on auto repeat auto_repeat = frappe.db.get_value(self.reference_doctype, self.reference_document, "auto_repeat") if auto_repeat and auto_repeat != self.name and not frappe.flags.in_patch: frappe.throw( _("The {0} is already on auto repeat {1}").format(self.reference_document, auto_repeat) ) else: frappe.db.set_value(self.reference_doctype, self.reference_document, "auto_repeat", self.name)
12,788
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def validate_auto_repeat_days(self): auto_repeat_days = self.get_auto_repeat_days() if not len(set(auto_repeat_days)) == len(auto_repeat_days): repeated_days = get_repeated(auto_repeat_days) plural = "s" if len(repeated_days) > 1 else "" frappe.throw( _("Auto Repeat Day{0} {1} has been repeated.").format( plural, frappe.bold(", ".join(repeated_days)) ) )
12,789
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def get_auto_repeat_schedule(self): schedule_details = [] start_date = getdate(self.start_date) end_date = getdate(self.end_date) if not self.end_date: next_date = self.get_next_schedule_date(schedule_date=start_date) row = { "reference_document": self.reference_document, "frequency": self.frequency, "next_scheduled_date": next_date, } schedule_details.append(row) if self.end_date: next_date = self.get_next_schedule_date(schedule_date=start_date, for_full_schedule=True) while getdate(next_date) < getdate(end_date): row = { "reference_document": self.reference_document, "frequency": self.frequency, "next_scheduled_date": next_date, } schedule_details.append(row) next_date = self.get_next_schedule_date(schedule_date=next_date, for_full_schedule=True) return schedule_details
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def create_documents(self): try: new_doc = self.make_new_document() if self.notify_by_email and self.recipients: self.send_notification(new_doc) except Exception: error_log = self.log_error("Auto repeat failed") self.disable_auto_repeat() if self.reference_document and not frappe.flags.in_test: self.notify_error_to_user(error_log)
12,791
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def make_new_document(self): reference_doc = frappe.get_doc(self.reference_doctype, self.reference_document) new_doc = frappe.copy_doc(reference_doc, ignore_no_copy=False) self.update_doc(new_doc, reference_doc) new_doc.insert(ignore_permissions=True) if self.submit_on_creation: new_doc.submit() return new_doc
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def update_doc(self, new_doc, reference_doc): new_doc.docstatus = 0 if new_doc.meta.get_field("set_posting_time"): new_doc.set("set_posting_time", 1) if new_doc.meta.get_field("auto_repeat"): new_doc.set("auto_repeat", self.name) for fieldname in [ "naming_series", "ignore_pricing_rule", "posting_time", "select_print_heading", "user_remark", "remarks", "owner", ]: if new_doc.meta.get_field(fieldname): new_doc.set(fieldname, reference_doc.get(fieldname)) for data in new_doc.meta.fields: if data.fieldtype == "Date" and data.reqd: new_doc.set(data.fieldname, self.next_schedule_date) self.set_auto_repeat_period(new_doc) auto_repeat_doc = frappe.get_doc("Auto Repeat", self.name) # for any action that needs to take place after the recurring document creation # on recurring method of that doctype is triggered new_doc.run_method("on_recurring", reference_doc=reference_doc, auto_repeat_doc=auto_repeat_doc)
12,793
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def get_offset_for_weekly_frequency(self, schedule_date): # if weekdays are not set, offset is 7 from current schedule date if not self.repeat_on_days: return 7 repeat_on_days = self.get_auto_repeat_days() current_schedule_day = getdate(schedule_date).weekday() weekdays = list(week_map.keys()) # if repeats on more than 1 day or # start date's weekday is not in repeat days, then get next weekday # else offset is 7 if len(repeat_on_days) > 1 or weekdays[current_schedule_day] not in repeat_on_days: weekday = get_next_weekday(current_schedule_day, repeat_on_days) next_weekday_number = week_map.get(weekday, 0) # offset for upcoming weekday return timedelta((7 + next_weekday_number - current_schedule_day) % 7).days return 7
12,794
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def set_auto_repeat_period(self, new_doc): mcount = month_map.get(self.frequency) if mcount and new_doc.meta.get_field("from_date") and new_doc.meta.get_field("to_date"): last_ref_doc = frappe.get_all( doctype=self.reference_doctype, fields=["name", "from_date", "to_date"], filters=[ ["auto_repeat", "=", self.name], ["docstatus", "<", 2], ], order_by="creation desc", limit=1, ) if not last_ref_doc: return from_date = get_next_date(last_ref_doc[0].from_date, mcount) if (cstr(get_first_day(last_ref_doc[0].from_date)) == cstr(last_ref_doc[0].from_date)) and ( cstr(get_last_day(last_ref_doc[0].to_date)) == cstr(last_ref_doc[0].to_date) ): to_date = get_last_day(get_next_date(last_ref_doc[0].to_date, mcount)) else: to_date = get_next_date(last_ref_doc[0].to_date, mcount) new_doc.set("from_date", from_date) new_doc.set("to_date", to_date)
12,795
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"orelse": []}}], "name": "fetch_linked_contacts", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def fetch_linked_contacts(self): if self.reference_doctype and self.reference_document: res = get_contacts_linking_to( self.reference_doctype, self.reference_document, fields=["email_id"] ) res += get_contacts_linked_from( self.reference_doctype, self.reference_document, fields=["email_id"] ) email_ids = {d.email_id for d in res} if not email_ids: frappe.msgprint(_("No contacts linked to document"), alert=True) else: self.recipients = ", ".join(email_ids)
12,796
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"targets": [{"_type": "Name", "_fields": {"id": "error_log_message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sendmail", "value": {"_type": "Name", "_fields": {"id": "frappe", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "recipients", "value": {"_type": "Name", "_fields": {"id": "recipients", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "subject", "value": {"_type": "Name", "_fields": {"id": "subject", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "template", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "auto_repeat_fail"}}}}, {"_type": "keyword", "_fields": {"arg": "args", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": 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def notify_error_to_user(self, error_log): recipients = list(get_system_managers(only_name=True)) recipients.append(self.owner) subject = _("Auto Repeat Document Creation Failed") form_link = frappe.utils.get_link_to_form(self.reference_doctype, self.reference_document) auto_repeat_failed_for = _("Auto Repeat failed for {0}").format(form_link) error_log_link = frappe.utils.get_link_to_form("Error Log", error_log.name) error_log_message = _("Check the Error Log for more information: {0}").format(error_log_link) frappe.sendmail( recipients=recipients, subject=subject, template="auto_repeat_fail", args={"auto_repeat_failed_for": auto_repeat_failed_for, "error_log_message": error_log_message}, header=[subject, "red"], )
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def make_auto_repeat_entry(): enqueued_method = "frappe.automation.doctype.auto_repeat.auto_repeat.create_repeated_entries" jobs = get_jobs() if not jobs or enqueued_method not in jobs[frappe.local.site]: date = getdate(today()) data = get_auto_repeat_entries(date) frappe.enqueue(enqueued_method, data=data)
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def get_next_weekday(current_schedule_day, weekdays): days = list(week_map.keys()) if current_schedule_day > 0: days = days[(current_schedule_day + 1) :] + days[:current_schedule_day] else: days = days[(current_schedule_day + 1) :] for entry in days: if entry in weekdays: return entry
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def create_repeated_entries(data): for d in data: doc = frappe.get_doc("Auto Repeat", d.name) current_date = getdate(today()) schedule_date = getdate(doc.next_schedule_date) if schedule_date == current_date and not doc.disabled: doc.create_documents() schedule_date = doc.get_next_schedule_date(schedule_date=schedule_date) if schedule_date and not doc.disabled: frappe.db.set_value("Auto Repeat", doc.name, "next_schedule_date", schedule_date)
12,800
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def make_auto_repeat(doctype, docname, frequency="Daily", start_date=None, end_date=None): if not start_date: start_date = getdate(today()) doc = frappe.new_doc("Auto Repeat") doc.reference_doctype = doctype doc.reference_document = docname doc.frequency = frequency doc.start_date = start_date if end_date: doc.end_date = end_date doc.save() return doc