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{"_type": "Constant", "_fields": {"kind": null, "value": "yellow"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "firstaddress", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "empty", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "\n"}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": " %s"}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%-47s"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 47}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fullid", "value": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "blue"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": 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"Name", "_fields": {"id": "sensorname", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "magenta"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%-13s"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 13}}}}, "value": {"_type": "Name", "_fields": {"id": "lastvalue", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "red"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Name", "_fields": {"id": "first", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "first", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": " %s %s\n"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": 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{"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 13}}}}, "value": {"_type": "Name", "_fields": {"id": "lastvalue", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "red"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": " %s \n"}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%-33s"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 33}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "address", "value": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "yellow"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "address", "value": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "empty", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "address", "value": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "firstaddress", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sensors", "value": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "format_obj", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def format_obj(self, obj, alias): name = obj.name city = u"" if not empty(obj.city): city = obj.city if not obj.sensors or (len(obj.sensors) == 0): result = u' %s %s %s \n' %\ (self.colored('%-27s' % name[:27], 'red'), self.colored('%-10s' % obj.object[:10], 'yellow'), self.colored('%-10s' % city[:10], 'yellow') ) result += u' %s \n' % self.colored('%-47s' % obj.fullid[:47], 'blue') else: first = True firstaddress = obj.sensors[0].address for sensor in obj.sensors: sensorname = sensor.name # This is a int value, do not display it as a float if not empty(sensor.lastvalue.level): if int(sensor.lastvalue.level) == sensor.lastvalue.level: lastvalue = "%d " % sensor.lastvalue.level else: lastvalue = "%r " % sensor.lastvalue.level if not empty(sensor.unit): lastvalue += "%s" % sensor.unit else: lastvalue = u"? " if first: result = u' %s %s %s ' %\ (self.colored('%-27s' % name[:27], 'red'), self.colored('%-10s' % obj.object[:10], 'yellow'), self.colored('%-10s' % city[:10], 'yellow'), ) if not empty(firstaddress): result += u'%s' % self.colored('%-33s' % sensor.address[:33], 'yellow') result += u'\n' result += u' %s' % self.colored('%-47s' % obj.fullid[:47], 'blue') result += u' %s %s\n' %\ (self.colored('%-20s' % sensorname[:20], 'magenta'), self.colored('%-13s' % lastvalue[:13], 'red') ) first = False else: result += u' %s %s\n' %\ (self.colored('%-20s' % sensorname[:20], 'magenta'), self.colored('%-13s' % lastvalue[:13], 'red') ) if not empty(sensor.address) and sensor.address != firstaddress: result += u' %s \n' %\ self.colored('%-33s' % sensor.address[:33], 'yellow') return result
21,002
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{"_type": "Constant", "_fields": {"kind": null, "value": "yellow"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "firstaddress", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "empty", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "\n"}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": " %s"}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%-47s"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 47}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fullid", "value": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "blue"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": 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[{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%-33s"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 33}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "address", "value": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "yellow"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colored", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "address", "value": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "empty", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "address", "value": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "firstaddress", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sensors", "value": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "sensor", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "format_obj", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "GaugeFormatter", "bases": [{"_type": "Name", "_fields": {"id": "IFormatter", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class GaugeFormatter(IFormatter): MANDATORY_FIELDS = ('name', 'object', 'sensors') def start_format(self, **kwargs): # Name = 27 Object = 10 City = 10 Sensors = 33 self.output(' Name and ID Object City Sensors ') self.output('----------------------------+----------+----------+---------------------------------') def format_obj(self, obj, alias): name = obj.name city = u"" if not empty(obj.city): city = obj.city if not obj.sensors or (len(obj.sensors) == 0): result = u' %s %s %s \n' %\ (self.colored('%-27s' % name[:27], 'red'), self.colored('%-10s' % obj.object[:10], 'yellow'), self.colored('%-10s' % city[:10], 'yellow') ) result += u' %s \n' % self.colored('%-47s' % obj.fullid[:47], 'blue') else: first = True firstaddress = obj.sensors[0].address for sensor in obj.sensors: sensorname = sensor.name # This is a int value, do not display it as a float if not empty(sensor.lastvalue.level): if int(sensor.lastvalue.level) == sensor.lastvalue.level: lastvalue = "%d " % sensor.lastvalue.level else: lastvalue = "%r " % sensor.lastvalue.level if not empty(sensor.unit): lastvalue += "%s" % sensor.unit else: lastvalue = u"? " if first: result = u' %s %s %s ' %\ (self.colored('%-27s' % name[:27], 'red'), self.colored('%-10s' % obj.object[:10], 'yellow'), self.colored('%-10s' % city[:10], 'yellow'), ) if not empty(firstaddress): result += u'%s' % self.colored('%-33s' % sensor.address[:33], 'yellow') result += u'\n' result += u' %s' % self.colored('%-47s' % obj.fullid[:47], 'blue') result += u' %s %s\n' %\ (self.colored('%-20s' % sensorname[:20], 'magenta'), self.colored('%-13s' % lastvalue[:13], 'red') ) first = False else: result += u' %s %s\n' %\ (self.colored('%-20s' % sensorname[:20], 'magenta'), self.colored('%-13s' % lastvalue[:13], 'red') ) if not empty(sensor.address) and sensor.address != firstaddress: result += u' %s \n' %\ self.colored('%-33s' % sensor.address[:33], 'yellow') return result
21,003
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8
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def _shape(self): matrix_shape = tensor_shape.TensorShape((self._num_rows_static, self._num_columns_static)) if self._batch_shape_arg is None: return matrix_shape batch_shape = tensor_shape.TensorShape(self._batch_shape_static) return batch_shape.concatenate(matrix_shape)
21,004
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def _matmul(self, x, adjoint=False, adjoint_arg=False): if self._assert_proper_shapes: x = linalg.adjoint(x) if adjoint_arg else x aps = linear_operator_util.assert_compatible_matrix_dimensions(self, x) x = control_flow_ops.with_dependencies([aps], x) if self.is_square: # Note that adjoint has no effect since this matrix is self-adjoint. if adjoint_arg: output_shape = array_ops.concat([ array_ops.shape(x)[:-2], [array_ops.shape(x)[-1], array_ops.shape(x)[-2]]], axis=0) else: output_shape = array_ops.shape(x) return self._possibly_broadcast_batch_shape( array_ops.zeros(shape=output_shape, dtype=x.dtype)) x_shape = array_ops.shape(x) n = self._num_columns if adjoint else self._num_rows m = x_shape[-2] if adjoint_arg else x_shape[-1] output_shape = array_ops.concat([x_shape[:-2], [n, m]], axis=0) zeros = array_ops.zeros(shape=output_shape, dtype=x.dtype) return self._possibly_broadcast_batch_shape(zeros)
21,005
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14
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class Migration(migrations.Migration): dependencies = [ ('hives', '0003_inspectionframe_note'), ] operations = [ migrations.AlterField( model_name='inspectionframe', name='img_back', field=filer.fields.image.FilerImageField(on_delete=django.db.models.deletion.CASCADE, related_name='frame_backs', to='filer.Image'), ), migrations.AlterField( model_name='inspectionframe', name='img_front', field=filer.fields.image.FilerImageField(on_delete=django.db.models.deletion.CASCADE, related_name='frame_fronts', to='filer.Image'), ), ]
21,006
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9
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "captureMessage", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Something totally crazy was just done"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Task", "value": {"_type": "Name", "_fields": {"id": "gen", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "X-Sentry-ID"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "The ID"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_header", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "finish", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "get", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "asynchronous", "value": {"_type": "Name", "_fields": {"id": "web", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "engine", "value": {"_type": "Name", "_fields": {"id": "gen", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "John Doe"}}]}}}}], "name": "get_current_user", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "AsyncMessageHandler", "bases": [{"_type": "Name", "_fields": {"id": "SentryMixin", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "RequestHandler", "value": {"_type": "Name", "_fields": {"id": "web", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class AsyncMessageHandler(SentryMixin, web.RequestHandler): @web.asynchronous @gen.engine def get(self): # Compute something crazy yield gen.Task( self.captureMessage, "Something totally crazy was just done" ) self.set_header('X-Sentry-ID', 'The ID') self.finish() def get_current_user(self): return { 'name': 'John Doe' }
21,007
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"request"}}, "comparators": [{"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "exception"}}, "comparators": [{"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "request"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "http_data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": 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"_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "send", "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": "/http-error?code=400"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fetch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 400}}], "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": "call_count", "value": {"_type": "Name", "_fields": {"id": "send", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_http_error_400", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "raven.contrib.tornado.AsyncSentryClient.send"}}], "func": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}], "name": "TornadoAsyncClientTestCase", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AsyncHTTPTestCase", "value": {"_type": "Name", "_fields": {"id": "testing", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TornadoAsyncClientTestCase(testing.AsyncHTTPTestCase): def get_app(self): app = web.Application([ web.url(r'/an-error', AnErrorProneHandler), web.url(r'/an-async-message', AsyncMessageHandler), web.url(r'/send-error', SendErrorTestHandler), web.url(r'/send-error-async', SendErrorAsyncHandler), web.url(r'/an-error-with-custom-non-dict-data', AnErrorWithCustomNonDictData), web.url(r'/an-error-with-custom-dict-data', AnErrorWithCustomDictData), web.url(r'/http-error', HTTPErrorHandler) ]) app.sentry_client = AsyncSentryClient( 'http://public_key:secret_key@host:9000/project' ) return app @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_error_handler(self, send): response = self.fetch('/an-error?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_error_with_custom_non_dict_data_handler(self, send): response = self.fetch('/an-error-with-custom-non-dict-data?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs assert 'extra' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) assert 'extra_data' in kwargs['extra'] if six.PY3: expected = "'extra custom non-dict data'" else: expected = "u'extra custom non-dict data'" assert kwargs['extra']['extra_data'] == expected @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_error_with_custom_dict_data_handler(self, send): response = self.fetch('/an-error-with-custom-dict-data?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs assert 'extra' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) assert 'extra_data' in kwargs['extra'] if six.PY3: expected = "'extra custom dict data'" else: expected = "u'extra custom dict data'" assert kwargs['extra']['extra_data'] == expected @patch( 'raven.contrib.tornado.AsyncSentryClient.send', side_effect=lambda *args, **kwargs: kwargs['callback']("done")) def test_message_handler(self, send): response = self.fetch('/an-async-message?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'sentry.interfaces.Message' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], True) @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_send_error_handler(self, send): response = self.fetch('/send-error?qs=qs') self.assertEqual(response.code, 500) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_send_error_handler_async(self, send): response = self.fetch('/send-error-async?qs=qs') self.assertEqual(response.code, 500) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) @testing.gen_test def test_sending_to_unresponsive_sentry_server_logs_error(self): client = self.get_app().sentry_client with patch.object(client, '_failed_send') as mock_failed: client.send() yield gen.sleep(0.01) # we need to run after the async send assert mock_failed.called @testing.gen_test def test_non_successful_responses_marks_client_as_failed(self): client = self.get_app().sentry_client with patch.object(client, '_failed_send') as mock_failed: with patch.object(client, '_send_remote') as mock_send: f = Future() f.set_exception(HTTPError(499, 'error')) mock_send.return_value = f client.send() yield gen.sleep(0.01) # we need to run after the async send assert mock_failed.called @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_http_error_500(self, send): response = self.fetch('/http-error?code=500') self.assertEqual(response.code, 500) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'code=500') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) @patch('raven.contrib.tornado.AsyncSentryClient.send') def test_http_error_400(self, send): response = self.fetch('/http-error?code=400') self.assertEqual(response.code, 400) self.assertEqual(send.call_count, 0)
21,008
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9
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def get_app(self): app = web.Application([ web.url(r'/an-error', AnErrorProneHandler), web.url(r'/an-async-message', AsyncMessageHandler), web.url(r'/send-error', SendErrorTestHandler), web.url(r'/send-error-async', SendErrorAsyncHandler), web.url(r'/an-error-with-custom-non-dict-data', AnErrorWithCustomNonDictData), web.url(r'/an-error-with-custom-dict-data', AnErrorWithCustomDictData), web.url(r'/http-error', HTTPErrorHandler) ]) app.sentry_client = AsyncSentryClient( 'http://public_key:secret_key@host:9000/project' ) return app
21,009
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"Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "is_authenticated"}}, "value": {"_type": "Name", "_fields": {"id": "user_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_error_handler", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_error_handler(self, send): response = self.fetch('/an-error?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False)
21,010
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"_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "url"}}, "value": {"_type": "Name", "_fields": {"id": "http_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "effective_url", "value": {"_type": "Name", "_fields": {"id": "response", "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": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "query_string"}}, "value": {"_type": "Name", "_fields": {"id": "http_data", 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{}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "extra_data"}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "extra"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "'extra custom non-dict data'"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PY3", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "u'extra custom non-dict data'"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "extra_data"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "extra"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_error_with_custom_non_dict_data_handler", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_error_with_custom_non_dict_data_handler(self, send): response = self.fetch('/an-error-with-custom-non-dict-data?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs assert 'extra' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) assert 'extra_data' in kwargs['extra'] if six.PY3: expected = "'extra custom non-dict data'" else: expected = "u'extra custom non-dict data'" assert kwargs['extra']['extra_data'] == expected
21,011
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"user_data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "is_authenticated"}}, "value": {"_type": "Name", "_fields": {"id": "user_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_message_handler", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_message_handler(self, send): response = self.fetch('/an-async-message?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'sentry.interfaces.Message' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], True)
21,012
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8
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def test_error_with_custom_dict_data_handler(self, send): response = self.fetch('/an-error-with-custom-dict-data?qs=qs') self.assertEqual(response.code, 200) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs assert 'extra' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False) assert 'extra_data' in kwargs['extra'] if six.PY3: expected = "'extra custom dict data'" else: expected = "u'extra custom dict data'" assert kwargs['extra']['extra_data'] == expected
21,013
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7
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def test_send_error_handler_async(self, send): response = self.fetch('/send-error-async?qs=qs') self.assertEqual(response.code, 500) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False)
21,014
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7
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def test_send_error_handler(self, send): response = self.fetch('/send-error?qs=qs') self.assertEqual(response.code, 500) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'qs=qs') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False)
21,015
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7
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def test_http_error_500(self, send): response = self.fetch('/http-error?code=500') self.assertEqual(response.code, 500) self.assertEqual(send.call_count, 1) args, kwargs = send.call_args assert 'user' in kwargs assert 'request' in kwargs assert 'exception' in kwargs http_data = kwargs['request'] self.assertEqual(http_data['cookies'], None) self.assertEqual(http_data['url'], response.effective_url) self.assertEqual(http_data['query_string'], 'code=500') self.assertEqual(http_data['method'], 'GET') user_data = kwargs['user'] self.assertEqual(user_data['is_authenticated'], False)
21,016
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10
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def test_non_successful_responses_marks_client_as_failed(self): client = self.get_app().sentry_client with patch.object(client, '_failed_send') as mock_failed: with patch.object(client, '_send_remote') as mock_send: f = Future() f.set_exception(HTTPError(499, 'error')) mock_send.return_value = f client.send() yield gen.sleep(0.01) # we need to run after the async send assert mock_failed.called
21,017
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9
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class HTTPException(Response, Exception): # You should set in subclasses: # status = 200 status_code = None empty_body = False def __init__(self, *, headers=None, reason=None, body=None, text=None, content_type=None): Response.__init__(self, status=self.status_code, headers=headers, reason=reason, body=body, text=text, content_type=content_type) Exception.__init__(self, self.reason) if self.body is None and not self.empty_body: self.text = "{}: {}".format(self.status, self.reason)
21,018
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8
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def __init__(self, *, headers=None, reason=None, body=None, text=None, content_type=None): Response.__init__(self, status=self.status_code, headers=headers, reason=reason, body=body, text=text, content_type=content_type) Exception.__init__(self, self.reason) if self.body is None and not self.empty_body: self.text = "{}: {}".format(self.status, self.reason)
21,019
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9
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class _HTTPMove(HTTPRedirection): def __init__(self, location, *, headers=None, reason=None, body=None, text=None, content_type=None): if not location: raise ValueError("HTTP redirects need a location to redirect to.") super().__init__(headers=headers, reason=reason, body=body, text=text, content_type=content_type) self.headers['Location'] = str(location) self.location = location
21,020
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8
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def __init__(self, location, *, headers=None, reason=None, body=None, text=None, content_type=None): if not location: raise ValueError("HTTP redirects need a location to redirect to.") super().__init__(headers=headers, reason=reason, body=body, text=text, content_type=content_type) self.headers['Location'] = str(location) self.location = location
21,021
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class HTTPMethodNotAllowed(HTTPClientError): status_code = 405 def __init__(self, method, allowed_methods, *, headers=None, reason=None, body=None, text=None, content_type=None): allow = ','.join(sorted(allowed_methods)) super().__init__(headers=headers, reason=reason, body=body, text=text, content_type=content_type) self.headers['Allow'] = allow self.allowed_methods = allowed_methods self.method = method.upper()
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8
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def __init__(self, method, allowed_methods, *, headers=None, reason=None, body=None, text=None, content_type=None): allow = ','.join(sorted(allowed_methods)) super().__init__(headers=headers, reason=reason, body=body, text=text, content_type=content_type) self.headers['Allow'] = allow self.allowed_methods = allowed_methods self.method = method.upper()
21,023
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def fetch_impl( self, request: HTTPRequest, callback: Callable[[HTTPResponse], None] ) -> None: key = object() self.queue.append((key, request, callback)) assert request.connect_timeout is not None assert request.request_timeout is not None timeout_handle = None if len(self.active) >= self.max_clients: timeout = ( min(request.connect_timeout, request.request_timeout) or request.connect_timeout or request.request_timeout ) # min but skip zero if timeout: timeout_handle = self.io_loop.add_timeout( self.io_loop.time() + timeout, functools.partial(self._on_timeout, key, "in request queue"), ) self.waiting[key] = (request, callback, timeout_handle) self._process_queue() if self.queue: gen_log.debug( "max_clients limit reached, request queued. " "%d active, %d queued requests." % (len(self.active), len(self.queue)) )
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9
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class HTTPUnavailableForLegalReasons(HTTPClientError): status_code = 451 def __init__(self, link, *, headers=None, reason=None, body=None, text=None, content_type=None): super().__init__(headers=headers, reason=reason, body=body, text=text, content_type=content_type) self.headers['Link'] = '<%s>; rel="blocked-by"' % link self.link = link
21,025
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def __init__( self, client: Optional[SimpleAsyncHTTPClient], request: HTTPRequest, release_callback: Callable[[], None], final_callback: Callable[[HTTPResponse], None], max_buffer_size: int, tcp_client: TCPClient, max_header_size: int, max_body_size: int, ) -> None: self.io_loop = IOLoop.current() self.start_time = self.io_loop.time() self.start_wall_time = time.time() self.client = client self.request = request self.release_callback = release_callback self.final_callback = final_callback self.max_buffer_size = max_buffer_size self.tcp_client = tcp_client self.max_header_size = max_header_size self.max_body_size = max_body_size self.code = None # type: Optional[int] self.headers = None # type: Optional[httputil.HTTPHeaders] self.chunks = [] # type: List[bytes] self._decompressor = None # Timeout handle returned by IOLoop.add_timeout self._timeout = None # type: object self._sockaddr = None IOLoop.current().add_future( gen.convert_yielded(self.run()), lambda f: f.result() )
21,026
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9
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{"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "partial", "value": {"_type": "Name", "_fields": {"id": "functools", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "release_callback", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "release_callback", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "callback", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_handle_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "queue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "active", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "max_clients", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}], "name": "_process_queue", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _process_queue(self) -> None: while self.queue and len(self.active) < self.max_clients: key, request, callback = self.queue.popleft() if key not in self.waiting: continue self._remove_timeout(key) self.active[key] = (request, callback) release_callback = functools.partial(self._release_fetch, key) self._handle_request(request, release_callback, callback)
21,027
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[{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "method", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "req_path", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "RequestStartLine", "value": {"_type": "Name", "_fields": {"id": "httputil", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "start_line", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "start_line", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write_headers", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "connection", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Await", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_response", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "connection", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expect_100_continue", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Await", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_write_body", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}]}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": null, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc_info", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_handle_exception", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "orelse": []}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "run", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
async def run(self) -> None: try: self.parsed = urllib.parse.urlsplit(_unicode(self.request.url)) if self.parsed.scheme not in ("http", "https"): raise ValueError("Unsupported url scheme: %s" % self.request.url) # urlsplit results have hostname and port results, but they # didn't support ipv6 literals until python 2.7. netloc = self.parsed.netloc if "@" in netloc: userpass, _, netloc = netloc.rpartition("@") host, port = httputil.split_host_and_port(netloc) if port is None: port = 443 if self.parsed.scheme == "https" else 80 if re.match(r"^\[.*\]$", host): # raw ipv6 addresses in urls are enclosed in brackets host = host[1:-1] self.parsed_hostname = host # save final host for _on_connect if self.request.allow_ipv6 is False: af = socket.AF_INET else: af = socket.AF_UNSPEC ssl_options = self._get_ssl_options(self.parsed.scheme) source_ip = None if self.request.network_interface: if is_valid_ip(self.request.network_interface): source_ip = self.request.network_interface else: raise ValueError( "Unrecognized IPv4 or IPv6 address for network_interface, got %r" % (self.request.network_interface,) ) timeout = ( min(self.request.connect_timeout, self.request.request_timeout) or self.request.connect_timeout or self.request.request_timeout ) # min but skip zero if timeout: self._timeout = self.io_loop.add_timeout( self.start_time + timeout, functools.partial(self._on_timeout, "while connecting"), ) stream = await self.tcp_client.connect( host, port, af=af, ssl_options=ssl_options, max_buffer_size=self.max_buffer_size, source_ip=source_ip, ) if self.final_callback is None: # final_callback is cleared if we've hit our timeout. stream.close() return self.stream = stream self.stream.set_close_callback(self.on_connection_close) self._remove_timeout() if self.final_callback is None: return if self.request.request_timeout: self._timeout = self.io_loop.add_timeout( self.start_time + self.request.request_timeout, functools.partial(self._on_timeout, "during request"), ) if ( self.request.method not in self._SUPPORTED_METHODS and not self.request.allow_nonstandard_methods ): raise KeyError("unknown method %s" % self.request.method) for key in ( "proxy_host", "proxy_port", "proxy_username", "proxy_password", "proxy_auth_mode", ): if getattr(self.request, key, None): raise NotImplementedError("%s not supported" % key) if "Connection" not in self.request.headers: self.request.headers["Connection"] = "close" if "Host" not in self.request.headers: if "@" in self.parsed.netloc: self.request.headers["Host"] = self.parsed.netloc.rpartition("@")[ -1 ] else: self.request.headers["Host"] = self.parsed.netloc username, password = None, None if self.parsed.username is not None: username, password = self.parsed.username, self.parsed.password elif self.request.auth_username is not None: username = self.request.auth_username password = self.request.auth_password or "" if username is not None: assert password is not None if self.request.auth_mode not in (None, "basic"): raise ValueError("unsupported auth_mode %s", self.request.auth_mode) self.request.headers["Authorization"] = "Basic " + _unicode( base64.b64encode( httputil.encode_username_password(username, password) ) ) if self.request.user_agent: self.request.headers["User-Agent"] = self.request.user_agent elif self.request.headers.get("User-Agent") is None: self.request.headers["User-Agent"] = "Tornado/{}".format(version) if not self.request.allow_nonstandard_methods: # Some HTTP methods nearly always have bodies while others # almost never do. Fail in this case unless the user has # opted out of sanity checks with allow_nonstandard_methods. body_expected = self.request.method in ("POST", "PATCH", "PUT") body_present = ( self.request.body is not None or self.request.body_producer is not None ) if (body_expected and not body_present) or ( body_present and not body_expected ): raise ValueError( "Body must %sbe None for method %s (unless " "allow_nonstandard_methods is true)" % ("not " if body_expected else "", self.request.method) ) if self.request.expect_100_continue: self.request.headers["Expect"] = "100-continue" if self.request.body is not None: # When body_producer is used the caller is responsible for # setting Content-Length (or else chunked encoding will be used). self.request.headers["Content-Length"] = str(len(self.request.body)) if ( self.request.method == "POST" and "Content-Type" not in self.request.headers ): self.request.headers[ "Content-Type" ] = "application/x-www-form-urlencoded" if self.request.decompress_response: self.request.headers["Accept-Encoding"] = "gzip" req_path = (self.parsed.path or "/") + ( ("?" + self.parsed.query) if self.parsed.query else "" ) self.connection = self._create_connection(stream) start_line = httputil.RequestStartLine(self.request.method, req_path, "") self.connection.write_headers(start_line, self.request.headers) if self.request.expect_100_continue: await self.connection.read_response(self) else: await self._write_body(True) except Exception: if not self._handle_exception(*sys.exc_info()): raise
21,028
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10
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{"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "cafile", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ca_certs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ssl_ctx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "check_hostname", "value": {"_type": "Name", "_fields": {"id": "ssl_ctx", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CERT_NONE", "value": {"_type": "Name", "_fields": {"id": "ssl", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "verify_mode", "value": {"_type": "Name", "_fields": {"id": "ssl_ctx", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "validate_cert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_cert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_key", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "load_cert_chain", "value": {"_type": "Name", "_fields": {"id": "ssl_ctx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_cert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "BitOr", "_fields": {}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "OP_NO_COMPRESSION", "value": {"_type": "Name", "_fields": {"id": "ssl", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "options", "value": {"_type": "Name", "_fields": {"id": "ssl_ctx", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ssl", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "OP_NO_COMPRESSION"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ssl_ctx", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "scheme", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "https"}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}], "name": "_get_ssl_options", "returns": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Any", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "value": {"_type": "Name", "_fields": {"id": "Dict", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SSLContext", "value": {"_type": "Name", "_fields": {"id": "ssl", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "value": {"_type": "Name", "_fields": {"id": "Union", "ctx": {"_type": "Load", "_fields": {}}}}}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _get_ssl_options( self, scheme: str ) -> Union[None, Dict[str, Any], ssl.SSLContext]: if scheme == "https": if self.request.ssl_options is not None: return self.request.ssl_options # If we are using the defaults, don't construct a # new SSLContext. if ( self.request.validate_cert and self.request.ca_certs is None and self.request.client_cert is None and self.request.client_key is None ): return _client_ssl_defaults ssl_ctx = ssl.create_default_context( ssl.Purpose.SERVER_AUTH, cafile=self.request.ca_certs ) if not self.request.validate_cert: ssl_ctx.check_hostname = False ssl_ctx.verify_mode = ssl.CERT_NONE if self.request.client_cert is not None: ssl_ctx.load_cert_chain( self.request.client_cert, self.request.client_key ) if hasattr(ssl, "OP_NO_COMPRESSION"): # See netutil.ssl_options_to_context ssl_ctx.options |= ssl.OP_NO_COMPRESSION return ssl_ctx return None
21,029
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13
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async def _write_body(self, start_read: bool) -> None: if self.request.body is not None: self.connection.write(self.request.body) elif self.request.body_producer is not None: fut = self.request.body_producer(self.connection.write) if fut is not None: await fut self.connection.finish() if start_read: try: await self.connection.read_response(self) except StreamClosedError: if not self._handle_exception(*sys.exc_info()): raise
21,030
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11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "stream", "annotation": {"_type": "Name", "_fields": {"id": "IOStream", "ctx": {"_type": "Load", "_fields": {}}}}, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_nodelay", "value": {"_type": "Name", "_fields": {"id": "stream", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "stream", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "HTTP1ConnectionParameters", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "no_keep_alive", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "max_header_size", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "max_header_size", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "max_body_size", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "max_body_size", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "decompress", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "decompress_response", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "bool", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sockaddr", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTP1Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "connection", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "connection", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_create_connection", "returns": {"_type": "Name", "_fields": {"id": "HTTP1Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _create_connection(self, stream: IOStream) -> HTTP1Connection: stream.set_nodelay(True) connection = HTTP1Connection( stream, True, HTTP1ConnectionParameters( no_keep_alive=True, max_header_size=self.max_header_size, max_body_size=self.max_body_size, decompress=bool(self.request.decompress_response), ), self._sockaddr, ) return connection
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13
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def _handle_exception( self, typ: "Optional[Type[BaseException]]", value: Optional[BaseException], tb: Optional[TracebackType], ) -> bool: if self.final_callback: self._remove_timeout() if isinstance(value, StreamClosedError): if value.real_error is None: value = HTTPStreamClosedError("Stream closed") else: value = value.real_error self._run_callback( HTTPResponse( self.request, 599, error=value, request_time=self.io_loop.time() - self.start_time, start_time=self.start_wall_time, ) ) if hasattr(self, "stream"): # TODO: this may cause a StreamClosedError to be raised # by the connection's Future. Should we cancel the # connection more gracefully? self.stream.close() return True else: # If our callback has already been called, we are probably # catching an exception that is not caused by us but rather # some child of our callback. Rather than drop it on the floor, # pass it along, unless it's just the stream being closed. return isinstance(value, StreamClosedError)
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12
{"_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": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "Connection closed"}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stream", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "cause": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stream", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Try", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTPStreamClosedError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc_info", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_handle_exception", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "HTTPStreamClosedError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "final_callback", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "name": "on_connection_close", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def on_connection_close(self) -> None: if self.final_callback is not None: message = "Connection closed" if self.stream.error: raise self.stream.error try: raise HTTPStreamClosedError(message) except HTTPStreamClosedError: self._handle_exception(*sys.exc_info())
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10
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"_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "name": "headers_received", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
async def headers_received( self, first_line: Union[httputil.ResponseStartLine, httputil.RequestStartLine], headers: httputil.HTTPHeaders, ) -> None: assert isinstance(first_line, httputil.ResponseStartLine) if self.request.expect_100_continue and first_line.code == 100: await self._write_body(False) return self.code = first_line.code self.reason = first_line.reason self.headers = headers if self._should_follow_redirect(): return if self.request.header_callback is not None: # Reassemble the start line. self.request.header_callback("%s %s %s\r\n" % first_line) for k, v in self.headers.get_all(): self.request.header_callback("%s: %s\r\n" % (k, v)) self.request.header_callback("\r\n")
21,034
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class TestWeightstats(object): def __init__(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1) x2 = m2 + np.random.randn(n2) x1_2d = m1 + np.random.randn(n1, 3) x2_2d = m2 + np.random.randn(n2, 3) w1_ = 2. * np.ones(n1) w2_ = 2. * np.ones(n2) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.x1_2d, self.x2_2d = x1_2d, x2_2d def test_weightstats_1(self): x1, x2 = self.x1, self.x2 w1, w2 = self.w1, self.w2 w1_ = 2. * np.ones(len(x1)) w2_ = 2. * np.ones(len(x2)) d1 = DescrStatsW(x1) # print ttest_ind(x1, x2) # print ttest_ind(x1, x2, usevar='unequal') # #print ttest_ind(x1, x2, usevar='unequal') # print stats.ttest_ind(x1, x2) # print ttest_ind(x1, x2, usevar='unequal', alternative='larger') # print ttest_ind(x1, x2, usevar='unequal', alternative='smaller') # print ttest_ind(x1, x2, usevar='unequal', weights=(w1_, w2_)) # print stats.ttest_ind(np.r_[x1, x1], np.r_[x2,x2]) assert_almost_equal(ttest_ind(x1, x2, weights=(w1_, w2_))[:2], stats.ttest_ind(np.r_[x1, x1], np.r_[x2,x2])) def test_weightstats_2(self): x1, x2 = self.x1, self.x2 w1, w2 = self.w1, self.w2 d1 = DescrStatsW(x1) d1w = DescrStatsW(x1, weights=w1) d2w = DescrStatsW(x2, weights=w2) x1r = d1w.asrepeats() x2r = d2w.asrepeats() # print 'random weights' # print ttest_ind(x1, x2, weights=(w1, w2)) # print stats.ttest_ind(x1r, x2r) assert_almost_equal(ttest_ind(x1, x2, weights=(w1, w2))[:2], stats.ttest_ind(x1r, x2r), 14) #not the same as new version with random weights/replication # assert x1r.shape[0] == d1w.sum_weights # assert x2r.shape[0] == d2w.sum_weights assert_almost_equal(x2r.mean(0), d2w.mean, 14) assert_almost_equal(x2r.var(), d2w.var, 14) assert_almost_equal(x2r.std(), d2w.std, 14) #note: the following is for 1d assert_almost_equal(np.cov(x2r, bias=1), d2w.cov, 14) #assert_almost_equal(np.corrcoef(np.x2r), d2w.corrcoef, 19) #TODO: exception in corrcoef (scalar case) #one-sample tests # print d1.ttest_mean(3) # print stats.ttest_1samp(x1, 3) # print d1w.ttest_mean(3) # print stats.ttest_1samp(x1r, 3) assert_almost_equal(d1.ttest_mean(3)[:2], stats.ttest_1samp(x1, 3), 11) assert_almost_equal(d1w.ttest_mean(3)[:2], stats.ttest_1samp(x1r, 3), 11) def test_weightstats_3(self): x1_2d, x2_2d = self.x1_2d, self.x2_2d w1, w2 = self.w1, self.w2 d1w_2d = DescrStatsW(x1_2d, weights=w1) d2w_2d = DescrStatsW(x2_2d, weights=w2) x1r_2d = d1w_2d.asrepeats() x2r_2d = d2w_2d.asrepeats() assert_almost_equal(x2r_2d.mean(0), d2w_2d.mean, 14) assert_almost_equal(x2r_2d.var(0), d2w_2d.var, 14) assert_almost_equal(x2r_2d.std(0), d2w_2d.std, 14) assert_almost_equal(np.cov(x2r_2d.T, bias=1), d2w_2d.cov, 14) assert_almost_equal(np.corrcoef(x2r_2d.T), d2w_2d.corrcoef, 14) # print d1w_2d.ttest_mean(3) # #scipy.stats.ttest is also vectorized # print stats.ttest_1samp(x1r_2d, 3) t,p,d = d1w_2d.ttest_mean(3) assert_almost_equal([t, p], stats.ttest_1samp(x1r_2d, 3), 11) #print [stats.ttest_1samp(xi, 3) for xi in x1r_2d.T] cm = CompareMeans(d1w_2d, d2w_2d) ressm = cm.ttest_ind() resss = stats.ttest_ind(x1r_2d, x2r_2d) assert_almost_equal(ressm[:2], resss, 14) ## #doesn't work for 2d, levene doesn't use weights ## cm = CompareMeans(d1w_2d, d2w_2d) ## ressm = cm.test_equal_var() ## resss = stats.levene(x1r_2d, x2r_2d) ## assert_almost_equal(ressm[:2], resss, 14) def test_weightstats_ddof_tests(self): # explicit test that ttest and confint are independent of ddof # one sample case x1_2d = self.x1_2d w1 = self.w1 d1w_d0 = DescrStatsW(x1_2d, weights=w1, ddof=0) d1w_d1 = DescrStatsW(x1_2d, weights=w1, ddof=1) d1w_d2 = DescrStatsW(x1_2d, weights=w1, ddof=2) #check confint independent of user ddof res0 = d1w_d0.ttest_mean() res1 = d1w_d1.ttest_mean() res2 = d1w_d2.ttest_mean() # concatenate into one array with np.r_ assert_almost_equal(np.r_[res1], np.r_[res0], 14) assert_almost_equal(np.r_[res2], np.r_[res0], 14) res0 = d1w_d0.ttest_mean(0.5) res1 = d1w_d1.ttest_mean(0.5) res2 = d1w_d2.ttest_mean(0.5) assert_almost_equal(np.r_[res1], np.r_[res0], 14) assert_almost_equal(np.r_[res2], np.r_[res0], 14) #check confint independent of user ddof res0 = d1w_d0.tconfint_mean() res1 = d1w_d1.tconfint_mean() res2 = d1w_d2.tconfint_mean() assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14)
21,035
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10
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def test_weightstats_1(self): x1, x2 = self.x1, self.x2 w1, w2 = self.w1, self.w2 w1_ = 2. * np.ones(len(x1)) w2_ = 2. * np.ones(len(x2)) d1 = DescrStatsW(x1) # print ttest_ind(x1, x2) # print ttest_ind(x1, x2, usevar='unequal') # #print ttest_ind(x1, x2, usevar='unequal') # print stats.ttest_ind(x1, x2) # print ttest_ind(x1, x2, usevar='unequal', alternative='larger') # print ttest_ind(x1, x2, usevar='unequal', alternative='smaller') # print ttest_ind(x1, x2, usevar='unequal', weights=(w1_, w2_)) # print stats.ttest_ind(np.r_[x1, x1], np.r_[x2,x2]) assert_almost_equal(ttest_ind(x1, x2, weights=(w1_, w2_))[:2], stats.ttest_ind(np.r_[x1, x1], np.r_[x2,x2]))
21,036
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def __init__(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1) x2 = m2 + np.random.randn(n2) x1_2d = m1 + np.random.randn(n1, 3) x2_2d = m2 + np.random.randn(n2, 3) w1_ = 2. * np.ones(n1) w2_ = 2. * np.ones(n2) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.x1_2d, self.x2_2d = x1_2d, x2_2d
21,037
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10
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def test_weightstats_2(self): x1, x2 = self.x1, self.x2 w1, w2 = self.w1, self.w2 d1 = DescrStatsW(x1) d1w = DescrStatsW(x1, weights=w1) d2w = DescrStatsW(x2, weights=w2) x1r = d1w.asrepeats() x2r = d2w.asrepeats() # print 'random weights' # print ttest_ind(x1, x2, weights=(w1, w2)) # print stats.ttest_ind(x1r, x2r) assert_almost_equal(ttest_ind(x1, x2, weights=(w1, w2))[:2], stats.ttest_ind(x1r, x2r), 14) #not the same as new version with random weights/replication # assert x1r.shape[0] == d1w.sum_weights # assert x2r.shape[0] == d2w.sum_weights assert_almost_equal(x2r.mean(0), d2w.mean, 14) assert_almost_equal(x2r.var(), d2w.var, 14) assert_almost_equal(x2r.std(), d2w.std, 14) #note: the following is for 1d assert_almost_equal(np.cov(x2r, bias=1), d2w.cov, 14) #assert_almost_equal(np.corrcoef(np.x2r), d2w.corrcoef, 19) #TODO: exception in corrcoef (scalar case) #one-sample tests # print d1.ttest_mean(3) # print stats.ttest_1samp(x1, 3) # print d1w.ttest_mean(3) # print stats.ttest_1samp(x1r, 3) assert_almost_equal(d1.ttest_mean(3)[:2], stats.ttest_1samp(x1, 3), 11) assert_almost_equal(d1w.ttest_mean(3)[:2], stats.ttest_1samp(x1r, 3), 11)
21,038
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def test_weightstats_3(self): x1_2d, x2_2d = self.x1_2d, self.x2_2d w1, w2 = self.w1, self.w2 d1w_2d = DescrStatsW(x1_2d, weights=w1) d2w_2d = DescrStatsW(x2_2d, weights=w2) x1r_2d = d1w_2d.asrepeats() x2r_2d = d2w_2d.asrepeats() assert_almost_equal(x2r_2d.mean(0), d2w_2d.mean, 14) assert_almost_equal(x2r_2d.var(0), d2w_2d.var, 14) assert_almost_equal(x2r_2d.std(0), d2w_2d.std, 14) assert_almost_equal(np.cov(x2r_2d.T, bias=1), d2w_2d.cov, 14) assert_almost_equal(np.corrcoef(x2r_2d.T), d2w_2d.corrcoef, 14) # print d1w_2d.ttest_mean(3) # #scipy.stats.ttest is also vectorized # print stats.ttest_1samp(x1r_2d, 3) t,p,d = d1w_2d.ttest_mean(3) assert_almost_equal([t, p], stats.ttest_1samp(x1r_2d, 3), 11) #print [stats.ttest_1samp(xi, 3) for xi in x1r_2d.T] cm = CompareMeans(d1w_2d, d2w_2d) ressm = cm.ttest_ind() resss = stats.ttest_ind(x1r_2d, x2r_2d) assert_almost_equal(ressm[:2], resss, 14)
21,039
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null, "value": 14}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_weightstats_ddof_tests", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_weightstats_ddof_tests(self): # explicit test that ttest and confint are independent of ddof # one sample case x1_2d = self.x1_2d w1 = self.w1 d1w_d0 = DescrStatsW(x1_2d, weights=w1, ddof=0) d1w_d1 = DescrStatsW(x1_2d, weights=w1, ddof=1) d1w_d2 = DescrStatsW(x1_2d, weights=w1, ddof=2) #check confint independent of user ddof res0 = d1w_d0.ttest_mean() res1 = d1w_d1.ttest_mean() res2 = d1w_d2.ttest_mean() # concatenate into one array with np.r_ assert_almost_equal(np.r_[res1], np.r_[res0], 14) assert_almost_equal(np.r_[res2], np.r_[res0], 14) res0 = d1w_d0.ttest_mean(0.5) res1 = d1w_d1.ttest_mean(0.5) res2 = d1w_d2.ttest_mean(0.5) assert_almost_equal(np.r_[res1], np.r_[res0], 14) assert_almost_equal(np.r_[res2], np.r_[res0], 14) #check confint independent of user ddof res0 = d1w_d0.tconfint_mean() res1 = d1w_d1.tconfint_mean() res2 = d1w_d2.tconfint_mean() assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14)
21,040
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class CheckWeightstats1dMixin(object): def test_basic(self): x1r = self.x1r d1w = self.d1w assert_almost_equal(x1r.mean(0), d1w.mean, 14) assert_almost_equal(x1r.var(0, ddof=d1w.ddof), d1w.var, 14) assert_almost_equal(x1r.std(0, ddof=d1w.ddof), d1w.std, 14) var1 = d1w.var_ddof(ddof=1) assert_almost_equal(x1r.var(0, ddof=1), var1, 14) std1 = d1w.std_ddof(ddof=1) assert_almost_equal(x1r.std(0, ddof=1), std1, 14) assert_almost_equal(np.cov(x1r.T, bias=1-d1w.ddof), d1w.cov, 14) # #assert_almost_equal(np.corrcoef(x1r.T), d1w.corrcoef, 14) def test_ttest(self): x1r = self.x1r d1w = self.d1w assert_almost_equal(d1w.ttest_mean(3)[:2], stats.ttest_1samp(x1r, 3), 11) # def # assert_almost_equal(ttest_ind(x1, x2, weights=(w1, w2))[:2], # stats.ttest_ind(x1r, x2r), 14) def test_ttest_2sample(self): x1, x2 = self.x1, self.x2 x1r, x2r = self.x1r, self.x2r w1, w2 = self.w1, self.w2 #Note: stats.ttest_ind handles 2d/nd arguments res_sp = stats.ttest_ind(x1r, x2r) assert_almost_equal(ttest_ind(x1, x2, weights=(w1, w2))[:2], res_sp, 14) #check correct ttest independent of user ddof cm = CompareMeans(DescrStatsW(x1, weights=w1, ddof=0), DescrStatsW(x2, weights=w2, ddof=1)) assert_almost_equal(cm.ttest_ind()[:2], res_sp, 14) cm = CompareMeans(DescrStatsW(x1, weights=w1, ddof=1), DescrStatsW(x2, weights=w2, ddof=2)) assert_almost_equal(cm.ttest_ind()[:2], res_sp, 14) cm0 = CompareMeans(DescrStatsW(x1, weights=w1, ddof=0), DescrStatsW(x2, weights=w2, ddof=0)) cm1 = CompareMeans(DescrStatsW(x1, weights=w1, ddof=0), DescrStatsW(x2, weights=w2, ddof=1)) cm2 = CompareMeans(DescrStatsW(x1, weights=w1, ddof=1), DescrStatsW(x2, weights=w2, ddof=2)) res0 = cm0.ttest_ind(usevar='unequal') res1 = cm1.ttest_ind(usevar='unequal') res2 = cm2.ttest_ind(usevar='unequal') assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14) #check confint independent of user ddof res0 = cm0.tconfint_diff(usevar='pooled') res1 = cm1.tconfint_diff(usevar='pooled') res2 = cm2.tconfint_diff(usevar='pooled') assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14) res0 = cm0.tconfint_diff(usevar='unequal') res1 = cm1.tconfint_diff(usevar='unequal') res2 = cm2.tconfint_diff(usevar='unequal') assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14) def test_confint_mean(self): #compare confint_mean with ttest d1w = self.d1w alpha = 0.05 low, upp = d1w.tconfint_mean() t, p, d = d1w.ttest_mean(low) assert_almost_equal(p, alpha * np.ones(p.shape), 8) t, p, d = d1w.ttest_mean(upp) assert_almost_equal(p, alpha * np.ones(p.shape), 8) t, p, d = d1w.ttest_mean(np.vstack((low, upp))) assert_almost_equal(p, alpha * np.ones(p.shape), 8)
21,041
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10
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def test_ttest_2sample(self): x1, x2 = self.x1, self.x2 x1r, x2r = self.x1r, self.x2r w1, w2 = self.w1, self.w2 #Note: stats.ttest_ind handles 2d/nd arguments res_sp = stats.ttest_ind(x1r, x2r) assert_almost_equal(ttest_ind(x1, x2, weights=(w1, w2))[:2], res_sp, 14) #check correct ttest independent of user ddof cm = CompareMeans(DescrStatsW(x1, weights=w1, ddof=0), DescrStatsW(x2, weights=w2, ddof=1)) assert_almost_equal(cm.ttest_ind()[:2], res_sp, 14) cm = CompareMeans(DescrStatsW(x1, weights=w1, ddof=1), DescrStatsW(x2, weights=w2, ddof=2)) assert_almost_equal(cm.ttest_ind()[:2], res_sp, 14) cm0 = CompareMeans(DescrStatsW(x1, weights=w1, ddof=0), DescrStatsW(x2, weights=w2, ddof=0)) cm1 = CompareMeans(DescrStatsW(x1, weights=w1, ddof=0), DescrStatsW(x2, weights=w2, ddof=1)) cm2 = CompareMeans(DescrStatsW(x1, weights=w1, ddof=1), DescrStatsW(x2, weights=w2, ddof=2)) res0 = cm0.ttest_ind(usevar='unequal') res1 = cm1.ttest_ind(usevar='unequal') res2 = cm2.ttest_ind(usevar='unequal') assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14) #check confint independent of user ddof res0 = cm0.tconfint_diff(usevar='pooled') res1 = cm1.tconfint_diff(usevar='pooled') res2 = cm2.tconfint_diff(usevar='pooled') assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14) res0 = cm0.tconfint_diff(usevar='unequal') res1 = cm1.tconfint_diff(usevar='unequal') res2 = cm2.tconfint_diff(usevar='unequal') assert_almost_equal(res1, res0, 14) assert_almost_equal(res2, res0, 14)
21,042
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def test_basic(self): x1r = self.x1r d1w = self.d1w assert_almost_equal(x1r.mean(0), d1w.mean, 14) assert_almost_equal(x1r.var(0, ddof=d1w.ddof), d1w.var, 14) assert_almost_equal(x1r.std(0, ddof=d1w.ddof), d1w.std, 14) var1 = d1w.var_ddof(ddof=1) assert_almost_equal(x1r.var(0, ddof=1), var1, 14) std1 = d1w.std_ddof(ddof=1) assert_almost_equal(x1r.std(0, ddof=1), std1, 14) assert_almost_equal(np.cov(x1r.T, bias=1-d1w.ddof), d1w.cov, 14)
21,043
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def test_confint_mean(self): #compare confint_mean with ttest d1w = self.d1w alpha = 0.05 low, upp = d1w.tconfint_mean() t, p, d = d1w.ttest_mean(low) assert_almost_equal(p, alpha * np.ones(p.shape), 8) t, p, d = d1w.ttest_mean(upp) assert_almost_equal(p, alpha * np.ones(p.shape), 8) t, p, d = d1w.ttest_mean(np.vstack((low, upp))) assert_almost_equal(p, alpha * np.ones(p.shape), 8)
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class TestWeightstats1d_ddof(CheckWeightstats1dMixin): @classmethod def setup_class(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 1) x2 = m2 + np.random.randn(n2, 1) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1, ddof=1) self.d2w = DescrStatsW(x2, weights=w2, ddof=1) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
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class TestWeightstats2d(CheckWeightstats2dMixin): @classmethod def setup_class(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 3) x2 = m2 + np.random.randn(n2, 3) w1_ = 2. * np.ones(n1) w2_ = 2. * np.ones(n2) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1) self.d2w = DescrStatsW(x2, weights=w2) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
21,046
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def setup_class(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 1) x2 = m2 + np.random.randn(n2, 1) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1, ddof=1) self.d2w = DescrStatsW(x2, weights=w2, ddof=1) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
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class TestWeightstats2d_ddof(CheckWeightstats2dMixin): @classmethod def setup_class(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 3) x2 = m2 + np.random.randn(n2, 3) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1, ddof=1) self.d2w = DescrStatsW(x2, weights=w2, ddof=1) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
21,048
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def setup_class(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 3) x2 = m2 + np.random.randn(n2, 3) w1_ = 2. * np.ones(n1) w2_ = 2. * np.ones(n2) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1) self.d2w = DescrStatsW(x2, weights=w2) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
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class TestWeightstats2d_nobs(CheckWeightstats2dMixin): @classmethod def setup_class(self): np.random.seed(9876789) n1, n2 = 20,30 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 3) x2 = m2 + np.random.randn(n2, 3) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1, ddof=0) self.d2w = DescrStatsW(x2, weights=w2, ddof=1) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
21,050
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def setup_class(self): np.random.seed(9876789) n1, n2 = 20,20 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 3) x2 = m2 + np.random.randn(n2, 3) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1, ddof=1) self.d2w = DescrStatsW(x2, weights=w2, ddof=1) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
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def test_ttest_ind_with_uneq_var(): #from scipy # check vs. R a = (1, 2, 3) b = (1.1, 2.9, 4.2) pr = 0.53619490753126731 tr = -0.68649512735572582 t, p, df = ttest_ind(a, b, usevar='unequal') assert_almost_equal([t,p], [tr, pr], 13) a = (1, 2, 3, 4) pr = 0.84354139131608286 tr = -0.2108663315950719 t, p, df = ttest_ind(a, b, usevar='unequal') assert_almost_equal([t,p], [tr, pr], 13)
21,052
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def setup_class(self): np.random.seed(9876789) n1, n2 = 20,30 m1, m2 = 1, 1.2 x1 = m1 + np.random.randn(n1, 3) x2 = m2 + np.random.randn(n2, 3) w1 = np.random.randint(1,4, n1) w2 = np.random.randint(1,4, n2) self.x1, self.x2 = x1, x2 self.w1, self.w2 = w1, w2 self.d1w = DescrStatsW(x1, weights=w1, ddof=0) self.d2w = DescrStatsW(x2, weights=w2, ddof=1) self.x1r = self.d1w.asrepeats() self.x2r = self.d2w.asrepeats()
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class TestZTest(object): # all examples use the same data # no weights used in tests @classmethod def setup_class(cls): cls.x1 = np.array([7.8, 6.6, 6.5, 7.4, 7.3, 7., 6.4, 7.1, 6.7, 7.6, 6.8]) cls.x2 = np.array([4.5, 5.4, 6.1, 6.1, 5.4, 5., 4.1, 5.5]) cls.d1 = DescrStatsW(cls.x1) cls.d2 = DescrStatsW(cls.x2) cls.cm = CompareMeans(cls.d1, cls.d2) def test(self): x1, x2 = self.x1, self.x2 cm = self.cm # tc : test cases for tc in [ztest_, ztest_smaller, ztest_larger, ztest_mu, ztest_smaller_mu, ztest_larger_mu]: zstat, pval = ztest(x1, x2, value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) zstat, pval = cm.ztest_ind(value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) #overwrite nan in R's confint tc_conf_int = tc.conf_int.copy() if np.isnan(tc_conf_int[0]): tc_conf_int[0] = - np.inf if np.isnan(tc_conf_int[1]): tc_conf_int[1] = np.inf # Note: value is shifting our confidence interval in zconfint ci = zconfint(x1, x2, value=0, alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10) ci = cm.zconfint_diff(alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10) ci = zconfint(x1, x2, value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int - tc.null_value, rtol=1e-10) # 1 sample test copy-paste d1 = self.d1 for tc in [ztest_mu_1s, ztest_smaller_mu_1s, ztest_larger_mu_1s]: zstat, pval = ztest(x1, value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) zstat, pval = d1.ztest_mean(value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) #overwrite nan in R's confint tc_conf_int = tc.conf_int.copy() if np.isnan(tc_conf_int[0]): tc_conf_int[0] = - np.inf if np.isnan(tc_conf_int[1]): tc_conf_int[1] = np.inf # Note: value is shifting our confidence interval in zconfint ci = zconfint(x1, value=0, alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10) ci = d1.zconfint_mean(alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10)
21,054
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def test(self): x1, x2 = self.x1, self.x2 cm = self.cm # tc : test cases for tc in [ztest_, ztest_smaller, ztest_larger, ztest_mu, ztest_smaller_mu, ztest_larger_mu]: zstat, pval = ztest(x1, x2, value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) zstat, pval = cm.ztest_ind(value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) #overwrite nan in R's confint tc_conf_int = tc.conf_int.copy() if np.isnan(tc_conf_int[0]): tc_conf_int[0] = - np.inf if np.isnan(tc_conf_int[1]): tc_conf_int[1] = np.inf # Note: value is shifting our confidence interval in zconfint ci = zconfint(x1, x2, value=0, alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10) ci = cm.zconfint_diff(alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10) ci = zconfint(x1, x2, value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int - tc.null_value, rtol=1e-10) # 1 sample test copy-paste d1 = self.d1 for tc in [ztest_mu_1s, ztest_smaller_mu_1s, ztest_larger_mu_1s]: zstat, pval = ztest(x1, value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) zstat, pval = d1.ztest_mean(value=tc.null_value, alternative=alternatives[tc.alternative]) assert_allclose(zstat, tc.statistic, rtol=1e-10) assert_allclose(pval, tc.p_value, rtol=1e-10, atol=1e-16) #overwrite nan in R's confint tc_conf_int = tc.conf_int.copy() if np.isnan(tc_conf_int[0]): tc_conf_int[0] = - np.inf if np.isnan(tc_conf_int[1]): tc_conf_int[1] = np.inf # Note: value is shifting our confidence interval in zconfint ci = zconfint(x1, value=0, alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10) ci = d1.zconfint_mean(alternative=alternatives[tc.alternative]) assert_allclose(ci, tc_conf_int, rtol=1e-10)
21,055
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "driver_info"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "power"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "driver_info['power'] is required"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "OpenStackCloudException", "value": {"_type": "Name", "_fields": {"id": "shade", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "console"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "console"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "management"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "management"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "deploy"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "deploy"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "info", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_parse_driver_info", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _parse_driver_info(module): p = module.params['driver_info'] info = p.get('power') if not info: raise shade.OpenStackCloudException( "driver_info['power'] is required") if p.get('console'): info.update(p.get('console')) if p.get('management'): info.update(p.get('management')) if p.get('deploy'): info.update(p.get('deploy')) return info
21,056
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "properties"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "cpu_arch", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cpu_arch"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cpu_arch"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": "x86_64"}}}}}}, {"_type": "keyword", "_fields": {"arg": "cpus", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cpus"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cpus"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, {"_type": "keyword", "_fields": {"arg": "memory_mb", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "ram"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "ram"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, {"_type": "keyword", "_fields": {"arg": "local_gb", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "disk_size"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "disk_size"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "props", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "props", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_parse_properties", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _parse_properties(module): p = module.params['properties'] props = dict( cpu_arch=p.get('cpu_arch') if p.get('cpu_arch') else 'x86_64', cpus=p.get('cpus') if p.get('cpus') else 1, memory_mb=p.get('ram') if p.get('ram') else 1, local_gb=p.get('disk_size') if p.get('disk_size') else 1, ) return props
21,057
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16
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def main(): argument_spec = openstack_full_argument_spec( uuid=dict(required=False), name=dict(required=False), driver=dict(required=False), driver_info=dict(type='dict', required=True), nics=dict(type='list', required=True), properties=dict(type='dict', default={}), ironic_url=dict(required=False), chassis_uuid=dict(required=False), skip_update_of_masked_password=dict(required=False, type='bool'), state=dict(required=False, default='present') ) module_kwargs = openstack_module_kwargs() module = AnsibleModule(argument_spec, **module_kwargs) if not HAS_SHADE: module.fail_json(msg='shade is required for this module') if not HAS_JSONPATCH: module.fail_json(msg='jsonpatch is required for this module') if (module.params['auth_type'] in [None, 'None'] and module.params['ironic_url'] is None): module.fail_json(msg="Authentication appears to be disabled, " "Please define an ironic_url parameter") if (module.params['ironic_url'] and module.params['auth_type'] in [None, 'None']): module.params['auth'] = dict( endpoint=module.params['ironic_url'] ) node_id = _choose_id_value(module) try: cloud = shade.operator_cloud(**module.params) server = cloud.get_machine(node_id) if module.params['state'] == 'present': if module.params['driver'] is None: module.fail_json(msg="A driver must be defined in order " "to set a node to present.") properties = _parse_properties(module) driver_info = _parse_driver_info(module) kwargs = dict( driver=module.params['driver'], properties=properties, driver_info=driver_info, name=module.params['name'], ) if module.params['chassis_uuid']: kwargs['chassis_uuid'] = module.params['chassis_uuid'] if server is None: # Note(TheJulia): Add a specific UUID to the request if # present in order to be able to re-use kwargs for if # the node already exists logic, since uuid cannot be # updated. if module.params['uuid']: kwargs['uuid'] = module.params['uuid'] server = cloud.register_machine(module.params['nics'], **kwargs) module.exit_json(changed=True, uuid=server['uuid'], provision_state=server['provision_state']) else: # TODO(TheJulia): Presently this does not support updating # nics. Support needs to be added. # # Note(TheJulia): This message should never get logged # however we cannot realistically proceed if neither a # name or uuid was supplied to begin with. if not node_id: module.fail_json(msg="A uuid or name value " "must be defined") # Note(TheJulia): Constructing the configuration to compare # against. The items listed in the server_config block can # be updated via the API. server_config = dict( driver=server['driver'], properties=server['properties'], driver_info=server['driver_info'], name=server['name'], ) # Add the pre-existing chassis_uuid only if # it is present in the server configuration. if hasattr(server, 'chassis_uuid'): server_config['chassis_uuid'] = server['chassis_uuid'] # Note(TheJulia): If a password is defined and concealed, a # patch will always be generated and re-asserted. patch = jsonpatch.JsonPatch.from_diff(server_config, kwargs) if not patch: _exit_node_not_updated(module, server) elif _choose_if_password_only(module, list(patch)): # Note(TheJulia): Normally we would allow the general # exception catch below, however this allows a specific # message. try: server = cloud.patch_machine( server['uuid'], list(patch)) except Exception as e: module.fail_json(msg="Failed to update node, " "Error: %s" % e.message) # Enumerate out a list of changed paths. change_list = [] for change in list(patch): change_list.append(change['path']) module.exit_json(changed=True, result="Node Updated", changes=change_list, uuid=server['uuid'], provision_state=server['provision_state']) # Return not updated by default as the conditions were not met # to update. _exit_node_not_updated(module, server) if module.params['state'] == 'absent': if not node_id: module.fail_json(msg="A uuid or name value must be defined " "in order to remove a node.") if server is not None: cloud.unregister_machine(module.params['nics'], server['uuid']) module.exit_json(changed=True, result="deleted") else: module.exit_json(changed=False, result="Server not found") except shade.OpenStackCloudException as e: module.fail_json(msg=str(e))
21,058
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7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ArgumentParser", "value": {"_type": "Name", "_fields": {"id": "argparse", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "description", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Generate layer documenation from source."}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--in_headers"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "required", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Name", "_fields": {"id": "builtin_headers", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "The input layer header files from which code will be generated."}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--in_source"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "required", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Name", "_fields": {"id": "builtin_source", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "The input layer source files from which code will be generated."}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--layer_doc"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "required", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "layers/vk_validation_layer_details.md"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Existing layer document to be validated against actual layers."}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--validate"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Validate that there are no mismatches between layer documentation and source. This includes cross-checking the validation checks, and making sure documented Vulkan API calls exist."}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--print_structs"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Primarily a debug option that prints out internal data structs used to generate layer docs."}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--print_doc_checks"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Primarily a debug option that prints out all of the checks that are documented."}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse_args", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "handle_args", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def handle_args(): parser = argparse.ArgumentParser(description='Generate layer documenation from source.') parser.add_argument('--in_headers', required=False, default=builtin_headers, help='The input layer header files from which code will be generated.') parser.add_argument('--in_source', required=False, default=builtin_source, help='The input layer source files from which code will be generated.') parser.add_argument('--layer_doc', required=False, default='layers/vk_validation_layer_details.md', help='Existing layer document to be validated against actual layers.') parser.add_argument('--validate', action='store_true', default=False, help='Validate that there are no mismatches between layer documentation and source. This includes cross-checking the validation checks, and making sure documented Vulkan API calls exist.') parser.add_argument('--print_structs', action='store_true', default=False, help='Primarily a debug option that prints out internal data structs used to generate layer docs.') parser.add_argument('--print_doc_checks', action='store_true', default=False, help='Primarily a debug option that prints out all of the checks that are documented.') return parser.parse_args()
21,059
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def parse(self): # For each header file, parse details into dicts # TODO : Should have a global dict element to track overall list of checks store_enum = False for layer_name in layer_inputs: hf = layer_inputs[layer_name]['header'] self.layer_dict[layer_name] = {} # initialize a new dict for this layer self.layer_dict[layer_name]['CHECKS'] = [] # enum of checks is stored in a list #print('Parsing header file %s as layer name %s' % (hf, layer_name)) with open(hf) as f: for line in f: if True in [line.strip().startswith(comment) for comment in ['//', '/*']]: #print("Skipping comment line: %s" % line) # For now skipping lines starting w/ comment, may use these to capture # documentation in the future continue # Find enums if store_enum: if '}' in line: # we're done with enum definition store_enum = False continue # grab the enum name as a unique check if ',' in line: # TODO : When documentation for a check is contained in the source, # this is where we should also capture that documentation so that # it can then be transformed into desired doc format enum_name = line.split(',')[0].strip() # Flag an error if we have already seen this enum if enum_name in self.layer_dict[layer_name]['CHECKS']: print('ERROR : % layer has duplicate error enum: %s' % (layer_name, enum_name)) self.layer_dict[layer_name]['CHECKS'].append(enum_name) # If the line includes 'typedef', 'enum', and the expected enum name, start capturing enums if False not in [ex in line for ex in ['typedef', 'enum', layer_inputs[layer_name]['error_enum']]]: store_enum = True # For each source file, parse into dicts for sf in self.source_files: #print('Parsing source file %s' % sf) pass
21,060
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class LayerParser: def __init__(self, header_file_list, source_file_list): self.header_files = header_file_list self.source_files = source_file_list self.layer_dict = {} self.api_dict = {} # Parse layer header files into internal dict data structs def parse(self): # For each header file, parse details into dicts # TODO : Should have a global dict element to track overall list of checks store_enum = False for layer_name in layer_inputs: hf = layer_inputs[layer_name]['header'] self.layer_dict[layer_name] = {} # initialize a new dict for this layer self.layer_dict[layer_name]['CHECKS'] = [] # enum of checks is stored in a list #print('Parsing header file %s as layer name %s' % (hf, layer_name)) with open(hf) as f: for line in f: if True in [line.strip().startswith(comment) for comment in ['//', '/*']]: #print("Skipping comment line: %s" % line) # For now skipping lines starting w/ comment, may use these to capture # documentation in the future continue # Find enums if store_enum: if '}' in line: # we're done with enum definition store_enum = False continue # grab the enum name as a unique check if ',' in line: # TODO : When documentation for a check is contained in the source, # this is where we should also capture that documentation so that # it can then be transformed into desired doc format enum_name = line.split(',')[0].strip() # Flag an error if we have already seen this enum if enum_name in self.layer_dict[layer_name]['CHECKS']: print('ERROR : % layer has duplicate error enum: %s' % (layer_name, enum_name)) self.layer_dict[layer_name]['CHECKS'].append(enum_name) # If the line includes 'typedef', 'enum', and the expected enum name, start capturing enums if False not in [ex in line for ex in ['typedef', 'enum', layer_inputs[layer_name]['error_enum']]]: store_enum = True # For each source file, parse into dicts for sf in self.source_files: #print('Parsing source file %s' % sf) pass # TODO : In the source file we want to see where checks actually occur # Need to build function tree of checks so that we know all of the # checks that occur under a top-level Vulkan API call # Eventually in the validation we can flag ENUMs that aren't being # used in the source, and we can document source code lines as well # as Vulkan API calls where each specific ENUM check is made def print_structs(self): print('This is where I print the data structs') for layer in self.layer_dict: print('Layer %s has %i checks:\n%s' % (layer, len(self.layer_dict[layer]['CHECKS'])-1, "\n\t".join(self.layer_dict[layer]['CHECKS'])))
21,061
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16
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"_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "##"}}, "comparators": [{"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "layer_doc_filename", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "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": "parse", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def parse(self): layer_name = 'INIT' parse_layer_details = False detail_trigger = '| Check | ' parse_pending_work = False pending_trigger = ' Pending Work' parse_overview = False overview_trigger = ' Overview' enum_prefix = '' with open(self.layer_doc_filename) as f: for line in f: if parse_pending_work: if '.' in line and line.strip()[0].isdigit(): todo_item = line.split('.')[1].strip() self.layer_doc_dict[layer_name]['pending'].append(todo_item) if pending_trigger in line and '##' in line: parse_layer_details = False parse_pending_work = True parse_overview = False self.layer_doc_dict[layer_name]['pending'] = [] if parse_layer_details: # Grab details but skip the fomat line with a bunch of '-' chars if '|' in line and line.count('-') < 20: detail_sections = line.split('|') #print("Details elements from line %s: %s" % (line, detail_sections)) check_name = '%s%s' % (enum_prefix, detail_sections[3].strip()) if '_NA' in check_name: # TODO : Should clean up these NA checks in the doc, skipping them for now continue self.enum_list.append(check_name) self.layer_doc_dict[layer_name][check_name] = {} self.layer_doc_dict[layer_name][check_name]['summary_txt'] = detail_sections[1].strip() self.layer_doc_dict[layer_name][check_name]['details_txt'] = detail_sections[2].strip() self.layer_doc_dict[layer_name][check_name]['api_list'] = detail_sections[4].split() self.layer_doc_dict[layer_name][check_name]['tests'] = detail_sections[5].split() self.layer_doc_dict[layer_name][check_name]['notes'] = detail_sections[6].strip() # strip any unwanted commas from api and test names self.layer_doc_dict[layer_name][check_name]['api_list'] = [a.strip(',') for a in self.layer_doc_dict[layer_name][check_name]['api_list']] self.layer_doc_dict[layer_name][check_name]['tests'] = [a.strip(',') for a in self.layer_doc_dict[layer_name][check_name]['tests']] # Trigger details parsing when we have table header if detail_trigger in line: parse_layer_details = True parse_pending_work = False parse_overview = False enum_txt = line.split('|')[3] if '*' in enum_txt: enum_prefix = enum_txt.split()[-1].strip('*').strip() #print('prefix: %s' % enum_prefix) if parse_overview: self.layer_doc_dict[layer_name]['overview'] += line if overview_trigger in line and '##' in line: parse_layer_details = False parse_pending_work = False parse_overview = True layer_name = line.split()[1] self.layer_doc_dict[layer_name] = {} self.layer_doc_dict[layer_name]['overview'] = ''
21,062
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"Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "errors_found", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "validate", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Checks captured in doc:\n%s"}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "enum_list", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\t"}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "print_checks", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "LayerDoc", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class LayerDoc: def __init__(self, source_file): self.layer_doc_filename = source_file self.txt_color = bcolors() # Main data struct to store info from layer doc self.layer_doc_dict = {} # Comprehensive list of all validation checks recorded in doc self.enum_list = [] # Parse the contents of doc into data struct def parse(self): layer_name = 'INIT' parse_layer_details = False detail_trigger = '| Check | ' parse_pending_work = False pending_trigger = ' Pending Work' parse_overview = False overview_trigger = ' Overview' enum_prefix = '' with open(self.layer_doc_filename) as f: for line in f: if parse_pending_work: if '.' in line and line.strip()[0].isdigit(): todo_item = line.split('.')[1].strip() self.layer_doc_dict[layer_name]['pending'].append(todo_item) if pending_trigger in line and '##' in line: parse_layer_details = False parse_pending_work = True parse_overview = False self.layer_doc_dict[layer_name]['pending'] = [] if parse_layer_details: # Grab details but skip the fomat line with a bunch of '-' chars if '|' in line and line.count('-') < 20: detail_sections = line.split('|') #print("Details elements from line %s: %s" % (line, detail_sections)) check_name = '%s%s' % (enum_prefix, detail_sections[3].strip()) if '_NA' in check_name: # TODO : Should clean up these NA checks in the doc, skipping them for now continue self.enum_list.append(check_name) self.layer_doc_dict[layer_name][check_name] = {} self.layer_doc_dict[layer_name][check_name]['summary_txt'] = detail_sections[1].strip() self.layer_doc_dict[layer_name][check_name]['details_txt'] = detail_sections[2].strip() self.layer_doc_dict[layer_name][check_name]['api_list'] = detail_sections[4].split() self.layer_doc_dict[layer_name][check_name]['tests'] = detail_sections[5].split() self.layer_doc_dict[layer_name][check_name]['notes'] = detail_sections[6].strip() # strip any unwanted commas from api and test names self.layer_doc_dict[layer_name][check_name]['api_list'] = [a.strip(',') for a in self.layer_doc_dict[layer_name][check_name]['api_list']] self.layer_doc_dict[layer_name][check_name]['tests'] = [a.strip(',') for a in self.layer_doc_dict[layer_name][check_name]['tests']] # Trigger details parsing when we have table header if detail_trigger in line: parse_layer_details = True parse_pending_work = False parse_overview = False enum_txt = line.split('|')[3] if '*' in enum_txt: enum_prefix = enum_txt.split()[-1].strip('*').strip() #print('prefix: %s' % enum_prefix) if parse_overview: self.layer_doc_dict[layer_name]['overview'] += line if overview_trigger in line and '##' in line: parse_layer_details = False parse_pending_work = False parse_overview = True layer_name = line.split()[1] self.layer_doc_dict[layer_name] = {} self.layer_doc_dict[layer_name]['overview'] = '' # Verify that checks and api references in layer doc match reality # Report API calls from doc that are not found in API # Report checks from doc that are not in actual layers # Report checks from layers that are not captured in doc def validate(self, layer_dict): # Count number of errors found and return it errors_found = 0 # First we'll go through the doc datastructures and flag any issues for chk in self.enum_list: doc_layer_found = False for real_layer in layer_dict: if chk in layer_dict[real_layer]['CHECKS']: #print('Found actual layer check %s in doc' % (chk)) doc_layer_found = True continue if not doc_layer_found: print(self.txt_color.red() + 'Actual layers do not contain documented check: %s' % (chk) + self.txt_color.endc()) errors_found += 1 # Now go through API names in doc and verify they're real # First we're going to transform proto names from vulkan.py into single list core_api_names = [p.name for p in vulkan.core.protos] wsi_s_names = [p.name for p in vulkan.ext_khr_surface.protos] wsi_ds_names = [p.name for p in vulkan.ext_khr_device_swapchain.protos] dbg_rpt_names = [p.name for p in vulkan.lunarg_debug_report.protos] api_names = core_api_names + wsi_s_names + wsi_ds_names + dbg_rpt_names for ln in self.layer_doc_dict: for chk in self.layer_doc_dict[ln]: if chk in ['overview', 'pending']: continue for api in self.layer_doc_dict[ln][chk]['api_list']: if api[2:] not in api_names and api not in layer_extension_functions: print(self.txt_color.red() + 'Doc references invalid function: %s' % (api) + self.txt_color.endc()) errors_found += 1 # Now go through all of the actual checks in the layers and make sure they're covered in the doc for ln in layer_dict: for chk in layer_dict[ln]['CHECKS']: if chk not in self.enum_list: print(self.txt_color.red() + 'Doc is missing check: %s' % (chk) + self.txt_color.endc()) errors_found += 1 return errors_found # Print all of the checks captured in the doc def print_checks(self): print('Checks captured in doc:\n%s' % ('\n\t'.join(self.enum_list)))
21,063
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15
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def validate(self, layer_dict): # Count number of errors found and return it errors_found = 0 # First we'll go through the doc datastructures and flag any issues for chk in self.enum_list: doc_layer_found = False for real_layer in layer_dict: if chk in layer_dict[real_layer]['CHECKS']: #print('Found actual layer check %s in doc' % (chk)) doc_layer_found = True continue if not doc_layer_found: print(self.txt_color.red() + 'Actual layers do not contain documented check: %s' % (chk) + self.txt_color.endc()) errors_found += 1 # Now go through API names in doc and verify they're real # First we're going to transform proto names from vulkan.py into single list core_api_names = [p.name for p in vulkan.core.protos] wsi_s_names = [p.name for p in vulkan.ext_khr_surface.protos] wsi_ds_names = [p.name for p in vulkan.ext_khr_device_swapchain.protos] dbg_rpt_names = [p.name for p in vulkan.lunarg_debug_report.protos] api_names = core_api_names + wsi_s_names + wsi_ds_names + dbg_rpt_names for ln in self.layer_doc_dict: for chk in self.layer_doc_dict[ln]: if chk in ['overview', 'pending']: continue for api in self.layer_doc_dict[ln][chk]['api_list']: if api[2:] not in api_names and api not in layer_extension_functions: print(self.txt_color.red() + 'Doc references invalid function: %s' % (api) + self.txt_color.endc()) errors_found += 1 # Now go through all of the actual checks in the layers and make sure they're covered in the doc for ln in layer_dict: for chk in layer_dict[ln]['CHECKS']: if chk not in self.enum_list: print(self.txt_color.red() + 'Doc is missing check: %s' % (chk) + self.txt_color.endc()) errors_found += 1 return errors_found
21,064
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14
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def main(argv=None): # Parse args opts = handle_args() # Create parser for layer files layer_parser = LayerParser(opts.in_headers, opts.in_source) # Parse files into internal data structs layer_parser.parse() # Generate requested types of output if opts.print_structs: # Print details of internal data structs layer_parser.print_structs() layer_doc = LayerDoc(opts.layer_doc) layer_doc.parse() if opts.print_doc_checks: layer_doc.print_checks() if opts.validate: num_errors = layer_doc.validate(layer_parser.layer_dict) if (0 == num_errors): txt_color = bcolors() print(txt_color.green() + 'No mismatches found between %s and implementation' % (os.path.basename(opts.layer_doc)) + txt_color.endc()) else: return num_errors return 0
21,065
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12
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class ImportCountriesTest(BaseTest): def setUp(self): self.data = [['uganda'] , ['ayoyo'] , ['hoho']] self.write_to_csv('wb', self.data) self.filename = 'test.csv' file = open(self.filename, 'rb') self.importer = FakeCommand() self.country = LocationType.objects.create(name='Country', slug='country') LocationTypeDetails.objects.create(location_type=self.country, required=True, has_code=False) def tearDown(self): os.system("rm -rf %s"%self.filename) def test_should_create_country_type_if_not_existing_and_not_recreate_country_types_if_exists(self): self.importer.handle(self.filename) self.assertEqual(1, LocationType.objects.filter(name="Country").count()) self.country.delete() self.importer.handle(self.filename) self.failUnless(LocationType.objects.filter(name="Country")) def test_should_create_countries_without_tree_parent(self): self.importer.handle(self.filename) for country_name in self.data: self.failUnless(Location.objects.filter(name=country_name[0], type__name__iexact="country", tree_parent=None))
21,066
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8
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{"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "LocationTypeDetails", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "location_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "country", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "required", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "has_code", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, 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def setUp(self): self.data = [['uganda'] , ['ayoyo'] , ['hoho']] self.write_to_csv('wb', self.data) self.filename = 'test.csv' file = open(self.filename, 'rb') self.importer = FakeCommand() self.country = LocationType.objects.create(name='Country', slug='country') LocationTypeDetails.objects.create(location_type=self.country, required=True, has_code=False)
21,067
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10
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class TestHubProxy: def setup_method(self, method): self.hub = SAMPHubServer(web_profile=False, mode="multiple", pool_size=1) self.hub.start() self.proxy = SAMPHubProxy() self.proxy.connect(hub=self.hub, pool_size=1) def teardown_method(self, method): if self.proxy.is_connected: self.proxy.disconnect() self.hub.stop() def test_is_connected(self): assert self.proxy.is_connected def test_disconnect(self): self.proxy.disconnect() def test_ping(self): self.proxy.ping() def test_registration(self): result = self.proxy.register(self.proxy.lockfile["samp.secret"]) self.proxy.unregister(result["samp.private-key"])
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7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "tmp_path", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tmp_path", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ".samptest"}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "lockfile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SAMPHubServer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "web_profile", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "lockfile", "value": {"_type": "Name", "_fields": {"id": "lockfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "pool_size", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "hub", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "start", "value": {"_type": "Name", "_fields": {"id": "hub", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SAMPHubProxy", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "proxy", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "connect", "value": {"_type": "Name", "_fields": {"id": "proxy", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "hub", "value": {"_type": "Name", "_fields": {"id": "hub", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "pool_size", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stop", "value": {"_type": "Name", "_fields": {"id": "hub", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_custom_lockfile", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_custom_lockfile(tmp_path): lockfile = str(tmp_path / ".samptest") hub = SAMPHubServer(web_profile=False, lockfile=lockfile, pool_size=1) hub.start() proxy = SAMPHubProxy() proxy.connect(hub=hub, pool_size=1) hub.stop()
21,069
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10
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def get_current_name(name, pkg_spec, module): info_cmd = 'pkg_info' (rc, stdout, stderr) = execute_command("%s" % (info_cmd), module) if rc != 0: return (rc, stdout, stderr) if pkg_spec['version']: pattern = "^%s" % name elif pkg_spec['flavor']: pattern = "^%s-.*-%s\s" % (pkg_spec['stem'], pkg_spec['flavor']) else: pattern = "^%s-" % pkg_spec['stem'] module.debug("get_current_name(): pattern = %s" % pattern) for line in stdout.splitlines(): module.debug("get_current_name: line = %s" % line) match = re.search(pattern, line) if match: current_name = line.split()[0] return current_name
21,070
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def qapply_Mul(e, **options): ip_doit = options.get('ip_doit', True) args = list(e.args) # If we only have 0 or 1 args, we have nothing to do and return. if len(args) <= 1 or not isinstance(e, Mul): return e rhs = args.pop() lhs = args.pop() # Make sure we have two non-commutative objects before proceeding. if (sympify(rhs).is_commutative and not isinstance(rhs, Wavefunction)) or \ (sympify(lhs).is_commutative and not isinstance(lhs, Wavefunction)): return e # For a Pow with an integer exponent, apply one of them and reduce the # exponent by one. if isinstance(lhs, Pow) and lhs.exp.is_Integer: args.append(lhs.base**(lhs.exp - 1)) lhs = lhs.base # Pull OuterProduct apart if isinstance(lhs, OuterProduct): args.append(lhs.ket) lhs = lhs.bra # Call .doit() on Commutator/AntiCommutator. if isinstance(lhs, (Commutator, AntiCommutator)): comm = lhs.doit() if isinstance(comm, Add): return qapply( e.func(*(args + [comm.args[0], rhs])) + e.func(*(args + [comm.args[1], rhs])), **options ) else: return qapply(e.func(*args)*comm*rhs, **options) # Apply tensor products of operators to states if isinstance(lhs, TensorProduct) and all([isinstance(arg, (Operator, State, Mul, Pow)) or arg == 1 for arg in lhs.args]) and \ isinstance(rhs, TensorProduct) and all([isinstance(arg, (Operator, State, Mul, Pow)) or arg == 1 for arg in rhs.args]) and \ len(lhs.args) == len(rhs.args): result = TensorProduct(*[qapply(lhs.args[n]*rhs.args[n], **options) for n in range(len(lhs.args))]).expand(tensorproduct=True) return qapply_Mul(e.func(*args), **options)*result # Now try to actually apply the operator and build an inner product. try: result = lhs._apply_operator(rhs, **options) except (NotImplementedError, AttributeError): try: result = rhs._apply_operator(lhs, **options) except (NotImplementedError, AttributeError): if isinstance(lhs, BraBase) and isinstance(rhs, KetBase): result = InnerProduct(lhs, rhs) if ip_doit: result = result.doit() else: result = None # TODO: I may need to expand before returning the final result. if result == 0: return S.Zero elif result is None: if len(args) == 0: # We had two args to begin with so args=[]. return e else: return qapply_Mul(e.func(*(args + [lhs])), **options)*rhs elif isinstance(result, InnerProduct): return result*qapply_Mul(e.func(*args), **options) else: # result is a scalar times a Mul, Add or TensorProduct return qapply(e.func(*args)*result, **options)
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def package_present(name, installed_state, pkg_spec, module): if module.check_mode: install_cmd = 'pkg_add -Imn' else: install_cmd = 'pkg_add -Im' if installed_state is False: # Attempt to install the package (rc, stdout, stderr) = execute_command("%s %s" % (install_cmd, name), module) # The behaviour of pkg_add is a bit different depending on if a # specific version is supplied or not. # # When a specific version is supplied the return code will be 0 when # a package is found and 1 when it is not, if a version is not # supplied the tool will exit 0 in both cases: if pkg_spec['version']: # Depend on the return code. module.debug("package_present(): depending on return code") if rc: changed=False else: # Depend on stderr instead. module.debug("package_present(): depending on stderr") if stderr: # There is a corner case where having an empty directory in # installpath prior to the right location will result in a # "file:/local/package/directory/ is empty" message on stderr # while still installing the package, so we need to look for # for a message like "packagename-1.0: ok" just in case. match = re.search("\W%s-[^:]+: ok\W" % name, stdout) if match: # It turns out we were able to install the package. module.debug("package_present(): we were able to install package") pass else: # We really did fail, fake the return code. module.debug("package_present(): we really did fail") rc = 1 changed=False else: module.debug("package_present(): stderr was not set") if rc == 0: if module.check_mode: module.exit_json(changed=True) changed=True else: rc = 0 stdout = '' stderr = '' changed=False return (rc, stdout, stderr, changed)
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10
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def get_package_state(name, pkg_spec, module): info_cmd = 'pkg_info -e' if pkg_spec['version']: command = "%s %s" % (info_cmd, name) elif pkg_spec['flavor']: command = "%s %s-*-%s" % (info_cmd, pkg_spec['stem'], pkg_spec['flavor']) else: command = "%s %s-*" % (info_cmd, pkg_spec['stem']) rc, stdout, stderr = execute_command(command, module) if (stderr): module.fail_json(msg="failed in get_package_state(): " + stderr) if rc == 0: return True else: return False
21,073
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10
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def package_absent(name, installed_state, module): if module.check_mode: remove_cmd = 'pkg_delete -In' else: remove_cmd = 'pkg_delete -I' if installed_state is True: # Attempt to remove the package. rc, stdout, stderr = execute_command("%s %s" % (remove_cmd, name), module) if rc == 0: if module.check_mode: module.exit_json(changed=True) changed=True else: changed=False else: rc = 0 stdout = '' stderr = '' changed=False return (rc, stdout, stderr, changed)
21,074
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10
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def package_latest(name, installed_state, pkg_spec, module): if module.check_mode: upgrade_cmd = 'pkg_add -umn' else: upgrade_cmd = 'pkg_add -um' pre_upgrade_name = '' if installed_state is True: # Fetch name of currently installed package. pre_upgrade_name = get_current_name(name, pkg_spec, module) module.debug("package_latest(): pre_upgrade_name = %s" % pre_upgrade_name) # Attempt to upgrade the package. (rc, stdout, stderr) = execute_command("%s %s" % (upgrade_cmd, name), module) # Look for output looking something like "nmap-6.01->6.25: ok" to see if # something changed (or would have changed). Use \W to delimit the match # from progress meter output. match = re.search("\W%s->.+: ok\W" % pre_upgrade_name, stdout) if match: if module.check_mode: module.exit_json(changed=True) changed = True else: changed = False # FIXME: This part is problematic. Based on the issues mentioned (and # handled) in package_present() it is not safe to blindly trust stderr # as an indicator that the command failed, and in the case with # empty installpath directories this will break. # # For now keep this safeguard here, but ignore it if we managed to # parse out a successful update above. This way we will report a # successful run when we actually modify something but fail # otherwise. if changed != True: if stderr: rc=1 return (rc, stdout, stderr, changed) else: # If package was not installed at all just make it present. module.debug("package_latest(): package is not installed, calling package_present()") return package_present(name, installed_state, pkg_spec, module)
21,075
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9
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def upgrade_packages(module): if module.check_mode: upgrade_cmd = 'pkg_add -Imnu' else: upgrade_cmd = 'pkg_add -Imu' # Attempt to upgrade all packages. rc, stdout, stderr = execute_command("%s" % upgrade_cmd, module) # Try to find any occurance of a package changing version like: # "bzip2-1.0.6->1.0.6p0: ok". match = re.search("\W\w.+->.+: ok\W", stdout) if match: if module.check_mode: module.exit_json(changed=True) changed=True else: changed=False # It seems we can not trust the return value, so depend on the presence of # stderr to know if something failed. if stderr: rc = 1 else: rc = 0 return (rc, stdout, stderr, changed)
21,076
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def parse_package_name(name, pkg_spec, module): # Do some initial matches so we can base the more advanced regex on that. version_match = re.search("-[0-9]", name) versionless_match = re.search("--", name) # Stop if someone is giving us a name that both has a version and is # version-less at the same time. if version_match and versionless_match: module.fail_json(msg="Package name both has a version and is version-less: " + name) # If name includes a version. if version_match: match = re.search("^(?P<stem>.*)-(?P<version>[0-9][^-]*)(?P<flavor_separator>-)?(?P<flavor>[a-z].*)?$", name) if match: pkg_spec['stem'] = match.group('stem') pkg_spec['version_separator'] = '-' pkg_spec['version'] = match.group('version') pkg_spec['flavor_separator'] = match.group('flavor_separator') pkg_spec['flavor'] = match.group('flavor') else: module.fail_json(msg="Unable to parse package name at version_match: " + name) # If name includes no version but is version-less ("--"). elif versionless_match: match = re.search("^(?P<stem>.*)--(?P<flavor>[a-z].*)?$", name) if match: pkg_spec['stem'] = match.group('stem') pkg_spec['version_separator'] = '-' pkg_spec['version'] = None pkg_spec['flavor_separator'] = '-' pkg_spec['flavor'] = match.group('flavor') else: module.fail_json(msg="Unable to parse package name at versionless_match: " + name) # If name includes no version, and is not version-less, it is all a stem. else: match = re.search("^(?P<stem>.*)$", name) if match: pkg_spec['stem'] = match.group('stem') pkg_spec['version_separator'] = None pkg_spec['version'] = None pkg_spec['flavor_separator'] = None pkg_spec['flavor'] = None else: module.fail_json(msg="Unable to parse package name at else: " + name) # Sanity check that there are no trailing dashes in flavor. # Try to stop strange stuff early so we can be strict later. if pkg_spec['flavor']: match = re.search("-$", pkg_spec['flavor']) if match: module.fail_json(msg="Trailing dash in flavor: " + pkg_spec['flavor'])
21,077
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11
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def main(): module = AnsibleModule( argument_spec = dict( name = dict(required=True), state = dict(required=True, choices=['absent', 'installed', 'latest', 'present', 'removed']), ), supports_check_mode = True ) name = module.params['name'] state = module.params['state'] rc = 0 stdout = '' stderr = '' result = {} result['name'] = name result['state'] = state if name == '*': if state != 'latest': module.fail_json(msg="the package name '*' is only valid when using state=latest") else: # Perform an upgrade of all installed packages. (rc, stdout, stderr, changed) = upgrade_packages(module) else: # Parse package name and put results in the pkg_spec dictionary. pkg_spec = {} parse_package_name(name, pkg_spec, module) # Get package state. installed_state = get_package_state(name, pkg_spec, module) # Perform requested action. if state in ['installed', 'present']: (rc, stdout, stderr, changed) = package_present(name, installed_state, pkg_spec, module) elif state in ['absent', 'removed']: (rc, stdout, stderr, changed) = package_absent(name, installed_state, module) elif state == 'latest': (rc, stdout, stderr, changed) = package_latest(name, installed_state, pkg_spec, module) if rc != 0: if stderr: module.fail_json(msg=stderr) else: module.fail_json(msg=stdout) result['changed'] = changed module.exit_json(**result)
21,078
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8
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def __init__(self, **kwargs): region = kwargs.pop('region', None) if not region: region = RegionInfo(self, self.DefaultRegionName, self.DefaultRegionEndpoint) if 'host' not in kwargs or kwargs['host'] is None: kwargs['host'] = region.endpoint super(ConfigServiceConnection, self).__init__(**kwargs) self.region = region
21,079
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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_faults", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "exception_class", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reason", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "exception_class", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "body", "value": {"_type": "Name", "_fields": {"id": "json_body", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "cause": null}}]}}], "name": "make_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def make_request(self, action, body): headers = { 'X-Amz-Target': '%s.%s' % (self.TargetPrefix, action), 'Host': self.region.endpoint, 'Content-Type': 'application/x-amz-json-1.1', 'Content-Length': str(len(body)), } http_request = self.build_base_http_request( method='POST', path='/', auth_path='/', params={}, headers=headers, data=body) response = self._mexe(http_request, sender=None, override_num_retries=10) response_body = response.read().decode('utf-8') boto.log.debug(response_body) if response.status == 200: if response_body: return json.loads(response_body) else: json_body = json.loads(response_body) fault_name = json_body.get('__type', None) exception_class = self._faults.get(fault_name, self.ResponseError) raise exception_class(response.status, response.reason, body=json_body)
21,080
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def orca_context_fixture(): conf = {"spark.python.worker.reuse": "false"} sc = init_orca_context(cores=8, conf=conf) def to_array_(v): return v.toArray().tolist() def flatten_(v): result = [] for elem in v: result.extend(elem.toArray().tolist()) return result spark = SparkSession(sc) spark.udf.register("to_array", to_array_, ArrayType(DoubleType())) spark.udf.register("flatten", flatten_, ArrayType(DoubleType())) yield stop_orca_context()
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14
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def _orientation(self, image): orientation = image.orientation if orientation == 'top_right': image.flop() elif orientation == 'bottom_right': image.rotate(degree=180) elif orientation == 'bottom_left': image.flip() elif orientation == 'left_top': image.rotate(degree=90) image.flop() elif orientation == 'right_top': image.rotate(degree=90) elif orientation == 'right_bottom': image.rotate(degree=-90) image.flop() elif orientation == 'left_bottom': image.rotate(degree=-90) image.orientation = 'top_left' return image
21,082
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class TestEuler: def test_is_eulerian(self): assert_true(is_eulerian(nx.complete_graph(5))) assert_true(is_eulerian(nx.complete_graph(7))) assert_true(is_eulerian(nx.hypercube_graph(4))) assert_true(is_eulerian(nx.hypercube_graph(6))) assert_false(is_eulerian(nx.complete_graph(4))) assert_false(is_eulerian(nx.complete_graph(6))) assert_false(is_eulerian(nx.hypercube_graph(3))) assert_false(is_eulerian(nx.hypercube_graph(5))) assert_false(is_eulerian(nx.petersen_graph())) assert_false(is_eulerian(nx.path_graph(4))) def test_is_eulerian2(self): # not connected G = nx.Graph() G.add_nodes_from([1,2,3]) assert_false(is_eulerian(G)) # not strongly connected G = nx.DiGraph() G.add_nodes_from([1,2,3]) assert_false(is_eulerian(G)) G = nx.MultiDiGraph() G.add_edge(1,2) G.add_edge(2,3) G.add_edge(2,3) G.add_edge(3,1) assert_false(is_eulerian(G)) def test_eulerian_circuit_cycle(self): G=nx.cycle_graph(4) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,3,2,1]) assert_equal(edges,[(0,3),(3,2),(2,1),(1,0)]) edges=list(eulerian_circuit(G,source=1)) nodes=[u for u,v in edges] assert_equal(nodes,[1,2,3,0]) assert_equal(edges,[(1,2),(2,3),(3,0),(0,1)]) G=nx.complete_graph(3) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,2,1]) assert_equal(edges,[(0,2),(2,1),(1,0)]) edges=list(eulerian_circuit(G,source=1)) nodes=[u for u,v in edges] assert_equal(nodes,[1,2,0]) assert_equal(edges,[(1,2),(2,0),(0,1)]) def test_eulerian_circuit_digraph(self): G=nx.DiGraph() G.add_cycle([0,1,2,3]) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,1,2,3]) assert_equal(edges,[(0,1),(1,2),(2,3),(3,0)]) edges=list(eulerian_circuit(G,source=1)) nodes=[u for u,v in edges] assert_equal(nodes,[1,2,3,0]) assert_equal(edges,[(1,2),(2,3),(3,0),(0,1)]) def test_eulerian_circuit_multigraph(self): G=nx.MultiGraph() G.add_cycle([0,1,2,3]) G.add_edge(1,2) G.add_edge(1,2) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,3,2,1,2,1]) assert_equal(edges,[(0,3),(3,2),(2,1),(1,2),(2,1),(1,0)]) @raises(nx.NetworkXError) def test_not_eulerian(self): f=list(eulerian_circuit(nx.complete_graph(4)))
21,083
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6}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "complete_graph", "value": {"_type": "Name", "_fields": {"id": "nx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "is_eulerian", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_false", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hypercube_graph", "value": {"_type": "Name", "_fields": {"id": "nx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "is_eulerian", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_false", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hypercube_graph", "value": {"_type": "Name", "_fields": {"id": "nx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "is_eulerian", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_false", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "petersen_graph", "value": {"_type": "Name", "_fields": {"id": "nx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "is_eulerian", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_false", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path_graph", "value": {"_type": "Name", "_fields": {"id": "nx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "is_eulerian", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_false", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_is_eulerian", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_is_eulerian(self): assert_true(is_eulerian(nx.complete_graph(5))) assert_true(is_eulerian(nx.complete_graph(7))) assert_true(is_eulerian(nx.hypercube_graph(4))) assert_true(is_eulerian(nx.hypercube_graph(6))) assert_false(is_eulerian(nx.complete_graph(4))) assert_false(is_eulerian(nx.complete_graph(6))) assert_false(is_eulerian(nx.hypercube_graph(3))) assert_false(is_eulerian(nx.hypercube_graph(5))) assert_false(is_eulerian(nx.petersen_graph())) assert_false(is_eulerian(nx.path_graph(4)))
21,084
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7
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def test_is_eulerian2(self): # not connected G = nx.Graph() G.add_nodes_from([1,2,3]) assert_false(is_eulerian(G)) # not strongly connected G = nx.DiGraph() G.add_nodes_from([1,2,3]) assert_false(is_eulerian(G)) G = nx.MultiDiGraph() G.add_edge(1,2) G.add_edge(2,3) G.add_edge(2,3) G.add_edge(3,1) assert_false(is_eulerian(G))
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def test_eulerian_circuit_digraph(self): G=nx.DiGraph() G.add_cycle([0,1,2,3]) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,1,2,3]) assert_equal(edges,[(0,1),(1,2),(2,3),(3,0)]) edges=list(eulerian_circuit(G,source=1)) nodes=[u for u,v in edges] assert_equal(nodes,[1,2,3,0]) assert_equal(edges,[(1,2),(2,3),(3,0),(0,1)])
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def test_eulerian_circuit_cycle(self): G=nx.cycle_graph(4) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,3,2,1]) assert_equal(edges,[(0,3),(3,2),(2,1),(1,0)]) edges=list(eulerian_circuit(G,source=1)) nodes=[u for u,v in edges] assert_equal(nodes,[1,2,3,0]) assert_equal(edges,[(1,2),(2,3),(3,0),(0,1)]) G=nx.complete_graph(3) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,2,1]) assert_equal(edges,[(0,2),(2,1),(1,0)]) edges=list(eulerian_circuit(G,source=1)) nodes=[u for u,v in edges] assert_equal(nodes,[1,2,0]) assert_equal(edges,[(1,2),(2,0),(0,1)])
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9
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def read(cls): unpacked = struct.unpack('I', sys.stdin.read(4)) size = unpacked[0] if size <= 0: raise Err("Expected non-zero size for Protobuf") data = sys.stdin.read(size) if len(data) != size: raise Err("Expected %d bytes; received %d", size, len(data)) return deserialize(cls, data)
21,088
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def test_eulerian_circuit_multigraph(self): G=nx.MultiGraph() G.add_cycle([0,1,2,3]) G.add_edge(1,2) G.add_edge(1,2) edges=list(eulerian_circuit(G,source=0)) nodes=[u for u,v in edges] assert_equal(nodes,[0,3,2,1,2,1]) assert_equal(edges,[(0,3),(3,2),(2,1),(1,2),(2,1),(1,0)])
21,089
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{"_type": "Name", "_fields": {"id": "Model", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ModelBase", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "proxy_for_model", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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"Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "checked_models", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "checked_models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "depends", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "checked_models", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "model_dependencies", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Name", "_fields": {"id": "depends", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "arg_defs", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "values", "value": {"_type": "Name", "_fields": {"id": "kwarg_defs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "attrname", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "depends", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "field_dependencies", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def field_dependencies(field, checked_models=None): checked_models = checked_models or set() depends = set() arg_defs, kwarg_defs = modelsinspector.matching_details(field) for attrname, options in arg_defs + list(kwarg_defs.values()): if options.get("ignore_if_auto_through", False) and auto_through(field): continue if options.get("is_value", False): value = attrname elif attrname == 'rel.through' and hasattr(getattr(field, 'rel', None), 'through_model'): # Hack for django 1.1 and below, where the through model is stored # in rel.through_model while rel.through stores only the model name. value = field.rel.through_model else: try: value = get_attribute(field, attrname) except AttributeError: if options.get("ignore_missing", False): continue raise if isinstance(value, Model): value = value.__class__ if not isinstance(value, ModelBase): continue if getattr(value._meta, "proxy", False): value = value._meta.proxy_for_model if value in checked_models: continue checked_models.add(value) depends.add(value) depends.update(model_dependencies(value, checked_models)) return depends
21,090
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def run(self): pipeline = shellcmd.Pipeline() pipeline.parse(self.generator.command) namespace = self.env.get_merged_dict() if self.generator.variables is not None: namespace.update(self.generator.variables) namespace.update(env=self.env, SRC=self.inputs, TGT=self.outputs) for cmd in pipeline.pipeline: if isinstance(cmd, shellcmd.Command): if isinstance(cmd.stdin, str): cmd.stdin = self._subst_arg(cmd.stdin, 'in', namespace) if isinstance(cmd.stdout, str): cmd.stdout = self._subst_arg(cmd.stdout, 'out', namespace) if isinstance(cmd.stderr, str): cmd.stderr = self._subst_arg(cmd.stderr, 'out', namespace) for argI in range(len(cmd.argv)): cmd.argv[argI] = self._subst_arg(cmd.argv[argI], None, namespace) if cmd.env_vars is not None: env_vars = dict() for name, value in cmd.env_vars.items(): env_vars[name] = self._subst_arg(value, None, namespace) cmd.env_vars = env_vars elif isinstance(cmd, shellcmd.Chdir): cmd.dir = self._subst_arg(cmd.dir, None, namespace) return pipeline.run(verbose=(Options.options.verbose > 0))
21,091
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10
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def apply_command(self): #self.meths.remove('apply_core') # create the task task = self.create_task('command') setattr(task, "dep_vars", getattr(self, "dep_vars", None)) # process the sources inputs = [] for node in self.source: inputs.append(node) task.set_inputs(inputs) task.set_outputs([self.path.find_or_declare(tgt) for tgt in self.to_list(self.target)]) self.source = ''
21,092
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16
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"Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "${TGT} requested but have multiple targets; which one?"}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "outputs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}]}}]}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "subst"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "group", "value": {"_type": "Name", "_fields": {"id": "match", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}], "name": "repl", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def repl(match): if match.group('dollar'): return "$" elif match.group('subst'): var = match.group('var') code = match.group('code') result = eval(var+code, namespace) if isinstance(result, Node.Node): if var == 'TGT': return result.get_bld().abspath() elif var == 'SRC': return result.srcpath() else: raise ValueError("Bad subst variable %r" % var) elif result is self.inputs: if len(self.inputs) == 1: return result[0].srcpath() else: raise ValueError("${SRC} requested but have multiple sources; which one?") elif result is self.outputs: if len(self.outputs) == 1: return result[0].get_bld().abspath() else: raise ValueError("${TGT} requested but have multiple targets; which one?") elif isinstance(result, list): assert len(result) == 1 return result[0] else: return result return None
21,093
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def blame_string(self, bugs): string = "r%s:\n" % self.revision() string += " %s\n" % urls.view_revision_url(self.revision()) string += " Bug: %s (%s)\n" % (self.bug_id(), bugs.bug_url_for_bug_id(self.bug_id())) author_line = "\"%s\" <%s>" % (self.author_name(), self.author_email()) string += " Author: %s\n" % (self.author() or author_line) string += " Reviewer: %s\n" % (self.reviewer() or self.reviewer_text()) string += " Committer: %s" % self.committer() return string
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"Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "view_revision_url", "value": {"_type": "Name", "_fields": {"id": "urls", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " Bug: %s (%s)\n"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bug_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bug_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bug_url_for_bug_id", "value": {"_type": "Name", "_fields": {"id": "bugs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "\"%s\" <%s>"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": 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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "author", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "author_line", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " Reviewer: %s\n"}}, "right": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reviewer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reviewer_text", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " Committer: %s"}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "committer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "blame_string", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "CommitInfo", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class CommitInfo(object): def __init__(self, revision, committer_email, changelog_data, committer_list=CommitterList()): self._revision = revision self._committer_email = committer_email self._bug_id = changelog_data["bug_id"] self._author_name = changelog_data["author_name"] self._author_email = changelog_data["author_email"] self._author = changelog_data["author"] self._reviewer_text = changelog_data["reviewer_text"] self._reviewer = changelog_data["reviewer"] # Derived values: self._committer = committer_list.committer_by_email(committer_email) def revision(self): return self._revision def committer(self): return self._committer # None if committer isn't in committers.py def committer_email(self): return self._committer_email def bug_id(self): return self._bug_id # May be None def author(self): return self._author # May be None def author_name(self): return self._author_name def author_email(self): return self._author_email def reviewer(self): return self._reviewer # May be None def reviewer_text(self): return self._reviewer_text # May be None def responsible_parties(self): responsible_parties = [ self.committer(), self.author(), self.reviewer(), ] return set([party for party in responsible_parties if party]) # Filter out None # FIXME: It is slightly lame that this "view" method is on this "model" class (in MVC terms) def blame_string(self, bugs): string = "r%s:\n" % self.revision() string += " %s\n" % urls.view_revision_url(self.revision()) string += " Bug: %s (%s)\n" % (self.bug_id(), bugs.bug_url_for_bug_id(self.bug_id())) author_line = "\"%s\" <%s>" % (self.author_name(), self.author_email()) string += " Author: %s\n" % (self.author() or author_line) string += " Reviewer: %s\n" % (self.reviewer() or self.reviewer_text()) string += " Committer: %s" % self.committer() return string
21,095
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class Exposure(models.Model): user = models.ForeignKey(User, null=True) camera = models.ForeignKey(Camera) film = models.ForeignKey(Film) lens = models.ForeignKey(Lens) f_stop = models.FloatField(null=True, choices=FS_CHOICES) shutter_speed = models.CharField(max_length=4, choices=SS_CHOICES) focal_len = models.SmallIntegerField(null=True)
21,096
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9
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class About_Window(object): def __init__(self, master): top=self.top=Tk.Toplevel(master) self.master = master top.title("About Us") # Info self.label = Tk.Label(top, text="Address Book by Karmitsky K.S \n Version 1.0\n Copyright © 2017") self.label.grid(row=1, column=0, padx=10, pady=10)
21,097
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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": "master", "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": "master", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Toplevel", "value": {"_type": "Name", "_fields": {"id": "Tk", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "top", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "top", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "master", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "master", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "About Us"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "title", "value": {"_type": "Name", "_fields": {"id": "top", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "top", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Label", "value": {"_type": "Name", "_fields": {"id": "Tk", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Address Book by Karmitsky K.S \n Version 1.0\n Copyright © 2017"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "label", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "grid", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "label", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "row", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "keyword", "_fields": {"arg": "column", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "padx", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}, {"_type": "keyword", "_fields": {"arg": "pady", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, master): top=self.top=Tk.Toplevel(master) self.master = master top.title("About Us") # Info self.label = Tk.Label(top, text="Address Book by Karmitsky K.S \n Version 1.0\n Copyright © 2017") self.label.grid(row=1, column=0, padx=10, pady=10)
21,098
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"_fields": {}}}}, {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "GtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "symbols", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "reversed", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%sB"}}, "right": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "bytes2human", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def bytes2human(n): # http://code.activestate.com/recipes/578019 # >>> bytes2human(10000) # '9.8K' # >>> bytes2human(100001221) # '95.4M' symbols = ('K', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y') prefix = {} for i, s in enumerate(symbols): prefix[s] = 1 << (i + 1) * 10 for s in reversed(symbols): if n >= prefix[s]: value = float(n) / prefix[s] return '%.1f%s' % (value, s) return "%sB" % n
21,099
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9
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def get_help_text(self, field_name, model_name): searchable_fields = self.related_search_fields.get(field_name, None) if searchable_fields: help_kwargs = { 'model_name': model_name, 'field_list': get_text_list(searchable_fields, _('and')), } return _('Use the left field to do %(model_name)s lookups in the fields %(field_list)s.') % help_kwargs return ''
21,100
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10
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def construct_search(field_name): # use different lookup methods depending on the notation if field_name.startswith('^'): return "%s__istartswith" % field_name[1:] elif field_name.startswith('='): return "%s__iexact" % field_name[1:] elif field_name.startswith('@'): return "%s__search" % field_name[1:] else: return "%s__icontains" % field_name