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"ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "uniquely_find_eni", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "eni", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "subnet_id"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "subnet_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", 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"comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vpc_id", "value": {"_type": "Name", "_fields": {"id": "eni", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "vpc_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "connection", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "vpc_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "eni", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "modify_eni", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "present"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "connection", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "delete_eni", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "absent"}}]}}, "orelse": []}}]}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def main(): argument_spec = ec2_argument_spec() argument_spec.update( dict( eni_id=dict(default=None, type='str'), instance_id=dict(default=None, type='str'), private_ip_address=dict(type='str'), subnet_id=dict(type='str'), description=dict(type='str'), security_groups=dict(default=[], type='list'), device_index=dict(default=0, type='int'), state=dict(default='present', choices=['present', 'absent']), force_detach=dict(default='no', type='bool'), source_dest_check=dict(default=None, type='bool'), delete_on_termination=dict(default=None, type='bool'), secondary_private_ip_addresses=dict(default=None, type='list'), secondary_private_ip_address_count=dict(default=None, type='int'), attached=dict(default=None, type='bool') ) ) module = AnsibleModule(argument_spec=argument_spec, mutually_exclusive=[ ['secondary_private_ip_addresses', 'secondary_private_ip_address_count'] ], required_if=([ ('state', 'absent', ['eni_id']), ('attached', True, ['instance_id']) ]) ) if not HAS_BOTO: module.fail_json(msg='boto required for this module') region, ec2_url, aws_connect_params = get_aws_connection_info(module) if region: try: connection = connect_to_aws(boto.ec2, region, **aws_connect_params) vpc_connection = connect_to_aws(boto.vpc, region, **aws_connect_params) except (boto.exception.NoAuthHandlerFound, AnsibleAWSError) as e: module.fail_json(msg=str(e)) else: module.fail_json(msg="region must be specified") state = module.params.get("state") if state == 'present': eni = uniquely_find_eni(connection, module) if eni is None: subnet_id = module.params.get("subnet_id") if subnet_id is None: module.fail_json(msg="subnet_id is required when creating a new ENI") vpc_id = _get_vpc_id(vpc_connection, module, subnet_id) create_eni(connection, vpc_id, module) else: vpc_id = eni.vpc_id modify_eni(connection, vpc_id, module, eni) elif state == 'absent': delete_eni(connection, module)
18,502
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order for presenting search results"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--polygon-output"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "group", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "choices", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "geojson"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "kml"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "svg"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "text"}}]}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Output geometry of results as a GeoJSON, KML, SVG or WKT"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--polygon-threshold"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "group", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Name", "_fields": {"id": "float", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "metavar", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "TOLERANCE"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Simplify output geometry.Parameter is difference tolerance in degrees."}}}}]}}}}], "name": "_add_api_output_arguments", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _add_api_output_arguments(parser): group = parser.add_argument_group('Output arguments') group.add_argument('--format', default='jsonv2', choices=['xml', 'json', 'jsonv2', 'geojson', 'geocodejson'], help='Format of result') for name, desc in EXTRADATA_PARAMS: group.add_argument('--' + name, action='store_true', help=desc) group.add_argument('--lang', '--accept-language', metavar='LANGS', help='Preferred language order for presenting search results') group.add_argument('--polygon-output', choices=['geojson', 'kml', 'svg', 'text'], help='Output geometry of results as a GeoJSON, KML, SVG or WKT') group.add_argument('--polygon-threshold', type=float, metavar='TOLERANCE', help=("Simplify output geometry." "Parameter is difference tolerance in degrees."))
18,503
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9
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def add_args(parser): group = parser.add_argument_group('Query arguments') group.add_argument('--query', help='Free-form query string') for name, desc in STRUCTURED_QUERY: group.add_argument('--' + name, help='Structured query: ' + desc) _add_api_output_arguments(parser) group = parser.add_argument_group('Result limitation') group.add_argument('--countrycodes', metavar='CC,..', help='Limit search results to one or more countries') group.add_argument('--exclude_place_ids', metavar='ID,..', help='List of search object to be excluded') group.add_argument('--limit', type=int, help='Limit the number of returned results') group.add_argument('--viewbox', metavar='X1,Y1,X2,Y2', help='Preferred area to find search results') group.add_argument('--bounded', action='store_true', help='Strictly restrict results to viewbox area') group = parser.add_argument_group('Other arguments') group.add_argument('--no-dedupe', action='store_false', dest='dedupe', help='Do not remove duplicates from the result list')
18,504
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "endpoint", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "project_dir", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "website"}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "endpoint", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ".php"}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "script_file", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Cannot find API script file.\n\nMake sure to run 'nominatim' from the project directory \nor use the option --project-dir."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "LOG", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "API script not found."}}], "func": {"_type": "Name", "_fields": {"id": "UsageError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exists", "value": {"_type": "Name", "_fields": {"id": "script_file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "endpoint", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "project_dir", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "run_api_script", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "phpcgi_bin", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "phpcgi_path", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "params", "value": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "_run_api", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _run_api(endpoint, args, params): script_file = args.project_dir / 'website' / (endpoint + '.php') if not script_file.exists(): LOG.error("Cannot find API script file.\n\n" "Make sure to run 'nominatim' from the project directory \n" "or use the option --project-dir.") raise UsageError("API script not found.") return run_api_script(endpoint, args.project_dir, phpcgi_bin=args.phpcgi_path, params=params)
18,505
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7
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def add_args(parser): group = parser.add_argument_group('Query arguments') group.add_argument('--lat', type=float, required=True, help='Latitude of coordinate to look up (in WGS84)') group.add_argument('--lon', type=float, required=True, help='Longitude of coordinate to look up (in WGS84)') group.add_argument('--zoom', type=int, help='Level of detail required for the address') _add_api_output_arguments(parser)
18,506
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def run(args): if args.query: params = dict(q=args.query) else: params = {k: getattr(args, k) for k, _ in STRUCTURED_QUERY if getattr(args, k)} for param, _ in EXTRADATA_PARAMS: if getattr(args, param): params[param] = '1' for param in ('format', 'countrycodes', 'exclude_place_ids', 'limit', 'viewbox'): if getattr(args, param): params[param] = getattr(args, param) if args.lang: params['accept-language'] = args.lang if args.polygon_output: params['polygon_' + args.polygon_output] = '1' if args.polygon_threshold: params['polygon_threshold'] = args.polygon_threshold if args.bounded: params['bounded'] = '1' if not args.dedupe: params['dedupe'] = '0' return _run_api('search', args, params)
18,507
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9
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def run(args): params = dict(osm_ids=','.join(args.ids)) for param, _ in EXTRADATA_PARAMS: if getattr(args, param): params[param] = '1' if args.format: params['format'] = args.format if args.lang: params['accept-language'] = args.lang if args.polygon_output: params['polygon_' + args.polygon_output] = '1' if args.polygon_threshold: params['polygon_threshold'] = args.polygon_threshold return _run_api('lookup', args, params)
18,508
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9
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def run(args): params = dict(lat=args.lat, lon=args.lon) if args.zoom is not None: params['zoom'] = args.zoom for param, _ in EXTRADATA_PARAMS: if getattr(args, param): params[param] = '1' if args.format: params['format'] = args.format if args.lang: params['accept-language'] = args.lang if args.polygon_output: params['polygon_' + args.polygon_output] = '1' if args.polygon_threshold: params['polygon_threshold'] = args.polygon_threshold return _run_api('reverse', args, params)
18,509
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8
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def add_args(parser): group = parser.add_argument_group('Query arguments') objs = group.add_mutually_exclusive_group(required=True) objs.add_argument('--node', '-n', type=int, help="Look up the OSM node with the given ID.") objs.add_argument('--way', '-w', type=int, help="Look up the OSM way with the given ID.") objs.add_argument('--relation', '-r', type=int, help="Look up the OSM relation with the given ID.") objs.add_argument('--place_id', '-p', type=int, help='Database internal identifier of the OSM object to look up') group.add_argument('--class', dest='object_class', help=("Class type to disambiguated multiple entries " "of the same object.")) group = parser.add_argument_group('Output arguments') for name, desc in DETAILS_SWITCHES: group.add_argument('--' + name, action='store_true', help=desc) group.add_argument('--lang', '--accept-language', metavar='LANGS', help='Preferred language order for presenting search results')
18,510
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null, "value": "details"}}, {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_run_api", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "run", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def run(args): if args.node: params = dict(osmtype='N', osmid=args.node) elif args.way: params = dict(osmtype='W', osmid=args.node) elif args.relation: params = dict(osmtype='R', osmid=args.node) else: params = dict(place_id=args.place_id) if args.object_class: params['class'] = args.object_class for name, _ in DETAILS_SWITCHES: params[name] = '1' if getattr(args, name) else '0' return _run_api('details', args, params)
18,511
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class AdagradOptimizerTest(tf.test.TestCase): def doTestBasic(self, use_locking=False): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) ada_opt = tf.train.AdagradOptimizer(3.0, initial_accumulator_value=0.1, use_locking=use_locking) ada_update = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) tf.global_variables_initializer().run() # Fetch params to validate initial values self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Run 3 steps of adagrad for _ in range(3): ada_update.run() # Validate updated params self.assertAllCloseAccordingToType( np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval()) self.assertAllCloseAccordingToType( np.array([2.715679168701172, 3.715679168701172]), var1.eval()) def testBasic(self): self.doTestBasic(use_locking=False) def testBasicLocked(self): self.doTestBasic(use_locking=True) def testTensorLearningRate(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) ada_opt = tf.train.AdagradOptimizer( tf.constant(3.0), initial_accumulator_value=0.1) ada_update = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) tf.global_variables_initializer().run() # Fetch params to validate initial values self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Run 3 steps of adagrad for _ in range(3): ada_update.run() # Validate updated params self.assertAllCloseAccordingToType( np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval()) self.assertAllCloseAccordingToType( np.array([2.715679168701172, 3.715679168701172]), var1.eval()) def testSparseBasic(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([[1.0], [2.0]], dtype=dtype) var1 = tf.Variable([[3.0], [4.0]], dtype=dtype) grads0 = tf.IndexedSlices( tf.constant([0.1], shape=[1, 1], dtype=dtype), tf.constant([0]), tf.constant([2, 1])) grads1 = tf.IndexedSlices( tf.constant([0.01], shape=[1, 1], dtype=dtype), tf.constant([1]), tf.constant([2, 1])) ada_opt = tf.train.AdagradOptimizer(3.0, initial_accumulator_value=0.1) ada_update = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) tf.global_variables_initializer().run() # Fetch params to validate initial values self.assertAllClose([[1.0], [2.0]], var0.eval()) self.assertAllClose([[3.0], [4.0]], var1.eval()) # Run 3 step of sgd for _ in range(3): ada_update.run() # Validate updated params self.assertAllCloseAccordingToType( np.array([[-1.6026098728179932], [2.0]]), var0.eval()) self.assertAllCloseAccordingToType( np.array([[3.0], [3.715679168701172]]), var1.eval()) def testSparseStability(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): shape = [1, 6] var0 = tf.Variable( [[0.00872496, -0.106952, 0.110467, 0.226505, -0.0147257, -0.0105945]], dtype=dtype) grads0 = tf.IndexedSlices( tf.constant( [[-5.91278e-05, 5.31673e-05, -2.5779e-06, 4.29153e-05, -8.4877e-05, -9.48906e-05]], shape=shape, dtype=dtype), tf.constant([0]), tf.constant(shape)) ada_opt = tf.train.AdagradOptimizer(1.0, initial_accumulator_value=0.1) ada_update = ada_opt.apply_gradients(zip([grads0], [var0])) self.assertEqual(["accumulator"], ada_opt.get_slot_names()) slot0 = ada_opt.get_slot(var0, "accumulator") init = tf.global_variables_initializer() for _ in range(100): init.run() ada_update.run() self.assertAllCloseAccordingToType( np.array([[0.1, 0.1, 0.1, 0.1, 0.1, 0.1]]), slot0.eval()) self.assertAllCloseAccordingToType( np.array([[0.00891194, -0.10712013, 0.11047515, 0.22636929, - 0.0144573, -0.01029443]]), var0.eval()) def testSharing(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) ada_opt = tf.train.AdagradOptimizer(3.0) # Apply the optimizer twice. Both applications will use # the same accums. ada_update1 = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) ada_update2 = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) self.assertEqual(["accumulator"], ada_opt.get_slot_names()) slot0 = ada_opt.get_slot(var0, "accumulator") self.assertEquals(slot0.get_shape(), var0.get_shape()) slot1 = ada_opt.get_slot(var1, "accumulator") self.assertEquals(slot1.get_shape(), var1.get_shape()) tf.global_variables_initializer().run() # Fetch params to validate initial values. self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Mix the first and the second adagrad for 3 steps. ada_update1.run() ada_update2.run() ada_update1.run() # Validate updated params (the same as with only 1 Adagrad). self.assertAllCloseAccordingToType( np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval()) self.assertAllCloseAccordingToType( np.array([2.715679168701172, 3.715679168701172]), var1.eval())
18,512
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"_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "half", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float32", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "doTestBasic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def doTestBasic(self, use_locking=False): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) ada_opt = tf.train.AdagradOptimizer(3.0, initial_accumulator_value=0.1, use_locking=use_locking) ada_update = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) tf.global_variables_initializer().run() # Fetch params to validate initial values self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Run 3 steps of adagrad for _ in range(3): ada_update.run() # Validate updated params self.assertAllCloseAccordingToType( np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval()) self.assertAllCloseAccordingToType( np.array([2.715679168701172, 3.715679168701172]), var1.eval())
18,513
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11
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def testSparseBasic(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([[1.0], [2.0]], dtype=dtype) var1 = tf.Variable([[3.0], [4.0]], dtype=dtype) grads0 = tf.IndexedSlices( tf.constant([0.1], shape=[1, 1], dtype=dtype), tf.constant([0]), tf.constant([2, 1])) grads1 = tf.IndexedSlices( tf.constant([0.01], shape=[1, 1], dtype=dtype), tf.constant([1]), tf.constant([2, 1])) ada_opt = tf.train.AdagradOptimizer(3.0, initial_accumulator_value=0.1) ada_update = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) tf.global_variables_initializer().run() # Fetch params to validate initial values self.assertAllClose([[1.0], [2.0]], var0.eval()) self.assertAllClose([[3.0], [4.0]], var1.eval()) # Run 3 step of sgd for _ in range(3): ada_update.run() # Validate updated params self.assertAllCloseAccordingToType( np.array([[-1.6026098728179932], [2.0]]), var0.eval()) self.assertAllCloseAccordingToType( np.array([[3.0], [3.715679168701172]]), var1.eval())
18,514
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def testTensorLearningRate(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) ada_opt = tf.train.AdagradOptimizer( tf.constant(3.0), initial_accumulator_value=0.1) ada_update = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) tf.global_variables_initializer().run() # Fetch params to validate initial values self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Run 3 steps of adagrad for _ in range(3): ada_update.run() # Validate updated params self.assertAllCloseAccordingToType( np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval()) self.assertAllCloseAccordingToType( np.array([2.715679168701172, 3.715679168701172]), var1.eval())
18,515
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def testSparseStability(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): shape = [1, 6] var0 = tf.Variable( [[0.00872496, -0.106952, 0.110467, 0.226505, -0.0147257, -0.0105945]], dtype=dtype) grads0 = tf.IndexedSlices( tf.constant( [[-5.91278e-05, 5.31673e-05, -2.5779e-06, 4.29153e-05, -8.4877e-05, -9.48906e-05]], shape=shape, dtype=dtype), tf.constant([0]), tf.constant(shape)) ada_opt = tf.train.AdagradOptimizer(1.0, initial_accumulator_value=0.1) ada_update = ada_opt.apply_gradients(zip([grads0], [var0])) self.assertEqual(["accumulator"], ada_opt.get_slot_names()) slot0 = ada_opt.get_slot(var0, "accumulator") init = tf.global_variables_initializer() for _ in range(100): init.run() ada_update.run() self.assertAllCloseAccordingToType( np.array([[0.1, 0.1, 0.1, 0.1, 0.1, 0.1]]), slot0.eval()) self.assertAllCloseAccordingToType( np.array([[0.00891194, -0.10712013, 0.11047515, 0.22636929, - 0.0144573, -0.01029443]]), var0.eval())
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11
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def testSharing(self): for dtype in [tf.half, tf.float32, tf.float64]: with self.test_session(): var0 = tf.Variable([1.0, 2.0], dtype=dtype) var1 = tf.Variable([3.0, 4.0], dtype=dtype) grads0 = tf.constant([0.1, 0.1], dtype=dtype) grads1 = tf.constant([0.01, 0.01], dtype=dtype) ada_opt = tf.train.AdagradOptimizer(3.0) # Apply the optimizer twice. Both applications will use # the same accums. ada_update1 = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) ada_update2 = ada_opt.apply_gradients(zip( [grads0, grads1], [var0, var1])) self.assertEqual(["accumulator"], ada_opt.get_slot_names()) slot0 = ada_opt.get_slot(var0, "accumulator") self.assertEquals(slot0.get_shape(), var0.get_shape()) slot1 = ada_opt.get_slot(var1, "accumulator") self.assertEquals(slot1.get_shape(), var1.get_shape()) tf.global_variables_initializer().run() # Fetch params to validate initial values. self.assertAllClose([1.0, 2.0], var0.eval()) self.assertAllClose([3.0, 4.0], var1.eval()) # Mix the first and the second adagrad for 3 steps. ada_update1.run() ada_update2.run() ada_update1.run() # Validate updated params (the same as with only 1 Adagrad). self.assertAllCloseAccordingToType( np.array([-1.6026098728179932, -0.6026098728179932]), var0.eval()) self.assertAllCloseAccordingToType( np.array([2.715679168701172, 3.715679168701172]), var1.eval())
18,517
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10
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{"_type": "Name", "_fields": {"id": "ymax", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "xmin", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ymin", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xmax", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ymax", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "test": {"_type": "Name", "_fields": {"id": "clob", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}], "name": "convert_extent", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def convert_extent(self, clob): if clob: # Generally, Oracle returns a polygon for the extent -- however, # it can return a single point if there's only one Point in the # table. ext_geom = Geometry(clob.read()) gtype = str(ext_geom.geom_type) if gtype == 'Polygon': # Construct the 4-tuple from the coordinates in the polygon. shell = ext_geom.shell ll, ur = shell[0][:2], shell[2][:2] elif gtype == 'Point': ll = ext_geom.coords[:2] ur = ll else: raise Exception('Unexpected geometry type returned for extent: %s' % gtype) xmin, ymin = ll xmax, ymax = ur return (xmin, ymin, xmax, ymax) else: return None
18,518
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"returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "SummariesTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class SummariesTest(test.TestCase): def testStructure(self): with self.cached_session(): inputs_shape = (1, 18, 19, 5) inputs = constant_op.constant(_rand(*inputs_shape)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) self.assertEqual( summaries.tf_spec_structure( spec, input_shape=inputs_shape), "_ variablev2 conv variablev2 biasadd relu") def testStructureFromTensor(self): with self.cached_session(): inputs = constant_op.constant(_rand(1, 18, 19, 5)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) self.assertEqual( summaries.tf_spec_structure(spec, inputs), "_ variablev2 conv variablev2 biasadd relu") def testPrint(self): with self.cached_session(): inputs = constant_op.constant(_rand(1, 18, 19, 5)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) summaries.tf_spec_print(spec, inputs) def testSummary(self): with self.cached_session(): inputs = constant_op.constant(_rand(1, 18, 19, 5)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) summaries.tf_spec_summary(spec, inputs)
18,519
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10
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def testStructure(self): with self.cached_session(): inputs_shape = (1, 18, 19, 5) inputs = constant_op.constant(_rand(*inputs_shape)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) self.assertEqual( summaries.tf_spec_structure( spec, input_shape=inputs_shape), "_ variablev2 conv variablev2 biasadd relu")
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10
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def testStructureFromTensor(self): with self.cached_session(): inputs = constant_op.constant(_rand(1, 18, 19, 5)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) self.assertEqual( summaries.tf_spec_structure(spec, inputs), "_ variablev2 conv variablev2 biasadd relu")
18,521
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10
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def testPrint(self): with self.cached_session(): inputs = constant_op.constant(_rand(1, 18, 19, 5)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) summaries.tf_spec_print(spec, inputs)
18,522
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10
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def testSummary(self): with self.cached_session(): inputs = constant_op.constant(_rand(1, 18, 19, 5)) spec = "net = Cr(64, [5, 5])" outputs = specs.create_net(spec, inputs) variables.global_variables_initializer().run() result = outputs.eval() self.assertEqual(tuple(result.shape), (1, 18, 19, 64)) summaries.tf_spec_summary(spec, inputs)
18,523
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11
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class MinifiedJSNode(Node): def __init__(self, sourcefile): # type: (str) -> None self.sourcefile = sourcefile def render(self, context): # type: (Dict[str, Any]) -> str if settings.DEBUG: source_files = settings.JS_SPECS[self.sourcefile] normal_source = source_files['source_filenames'] minified_source = source_files.get('minifed_source_filenames', []) # Minified source files (most likely libraries) should be loaded # first to prevent any dependency errors. scripts = minified_source + normal_source else: scripts = [settings.JS_SPECS[self.sourcefile]['output_filename']] script_urls = [staticfiles_storage.url(script) for script in scripts] script_tags = ['<script type="text/javascript" src="%s" charset="utf-8"></script>' % url for url in script_urls] return '\n'.join(script_tags)
18,524
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "context", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sourcefile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "JS_SPECS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "source_files", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "source_filenames"}}, "value": {"_type": "Name", "_fields": {"id": "source_files", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "normal_source", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "minifed_source_filenames"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "source_files", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "minified_source", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "minified_source", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "normal_source", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "scripts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "output_filename"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sourcefile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "JS_SPECS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "scripts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "url", "value": {"_type": "Name", "_fields": {"id": "staticfiles_storage", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "scripts", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "script_urls", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "<script type=\"text/javascript\" src=\"%s\" charset=\"utf-8\"></script>"}}, "right": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "script_urls", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "script_tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "script_tags", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}}}, "keywords": []}}}}], "name": "render", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def render(self, context): # type: (Dict[str, Any]) -> str if settings.DEBUG: source_files = settings.JS_SPECS[self.sourcefile] normal_source = source_files['source_filenames'] minified_source = source_files.get('minifed_source_filenames', []) # Minified source files (most likely libraries) should be loaded # first to prevent any dependency errors. scripts = minified_source + normal_source else: scripts = [settings.JS_SPECS[self.sourcefile]['output_filename']] script_urls = [staticfiles_storage.url(script) for script in scripts] script_tags = ['<script type="text/javascript" src="%s" charset="utf-8"></script>' % url for url in script_urls] return '\n'.join(script_tags)
18,525
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10
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"sourcefile", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s tag requires an argument"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "tag_name", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "TemplateSyntaxError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s tag should be quoted"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "tag_name", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "TemplateSyntaxError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "\""}}, {"_type": "Constant", "_fields": {"kind": null, "value": "'"}}]}}]}}]}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s tag invalid argument: no JS file %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "tag_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "TemplateSyntaxError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "JS_SPECS", "value": {"_type": "Name", "_fields": {"id": "settings", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sourcefile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "MinifiedJSNode", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "minified_js", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def minified_js(parser, token): # type: (Parser, Token) -> MinifiedJSNode try: tag_name, sourcefile = token.split_contents() except ValueError: raise TemplateSyntaxError("%s tag requires an argument" % (tag_name,)) if not (sourcefile[0] == sourcefile[-1] and sourcefile[0] in ('"', "'")): raise TemplateSyntaxError("%s tag should be quoted" % (tag_name,)) sourcefile = sourcefile[1:-1] if sourcefile not in settings.JS_SPECS: raise TemplateSyntaxError("%s tag invalid argument: no JS file %s" % (tag_name, sourcefile)) return MinifiedJSNode(sourcefile)
18,526
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "kind", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "initialize_paths", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "initialized", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Path cannot be found for : %s"}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tostring", "value": {"_type": "Name", "_fields": {"id": "kind", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "SchemeException", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "kind", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "paths", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "kind", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "paths", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "name": "get_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def get_path(self, kind): if not self.initialized: self.initialize_paths() if kind not in self.paths: raise SchemeException("Path cannot be found for : %s" % kind.tostring()) return self.paths[kind]
18,527
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9
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def __init__(self, target): super(PowerDNSBackend, self).__init__(target) self.host = self.options.get('host', '127.0.0.1') self.port = int(self.options.get('port', 53)) self.local_store = threading.local() default_connection = 'sqlite:///%(state_path)s/powerdns.sqlite' % { 'state_path': cfg.CONF.state_path } self.connection = self.options.get('connection', default_connection)
18,528
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{"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, "value": {"_type": "Name", "_fields": {"id": "domain", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "masters", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ","}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "SLAVE"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tenant", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "domain_values", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "domain_values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_create", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "handlers": [{"_type": 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{}}, "attr": "DomainNotFound", "value": {"_type": "Name", "_fields": {"id": "exceptions", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "designate_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}]}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Attempted to delete a domain which is not present in the backend. ID: %s"}}], "func": {"_type": "Name", "_fields": {"id": "_LC", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "domain", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "critical", "value": {"_type": "Name", "_fields": {"id": "LOG", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": null}}], "name": null, "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DomainNotFound", "value": {"_type": "Name", "_fields": {"id": "exceptions", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "domain", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DomainNotFound", "value": {"_type": "Name", "_fields": {"id": "exceptions", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_delete", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "designate_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}]}}}}], "name": "delete_domain", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "PowerDNSBackend", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Backend", "value": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class PowerDNSBackend(base.Backend): __plugin_name__ = 'powerdns' __backend_status__ = 'integrated' @classmethod def get_cfg_opts(cls): group = cfg.OptGroup('backend:powerdns') opts = copy.deepcopy(options.database_opts) # Strip connection options discard_opts = ('sqlite_db', 'connection', 'slave_connection') opts = [opt for opt in opts if opt.name not in discard_opts] return [(group, opts,)] def __init__(self, target): super(PowerDNSBackend, self).__init__(target) self.host = self.options.get('host', '127.0.0.1') self.port = int(self.options.get('port', 53)) self.local_store = threading.local() default_connection = 'sqlite:///%(state_path)s/powerdns.sqlite' % { 'state_path': cfg.CONF.state_path } self.connection = self.options.get('connection', default_connection) @property def session(self): # NOTE: This uses a thread local store, allowing each greenthread to # have it's own session stored correctly. Without this, each # greenthread may end up using a single global session, which # leads to bad things happening. if not hasattr(self.local_store, 'session'): self.local_store.session = session.get_session( self.name, self.connection, self.target.id) return self.local_store.session def _create(self, table, values): query = table.insert() resultproxy = self.session.execute(query, values) # Refetch the row, for generated columns etc query = select([table])\ .where(table.c.id == resultproxy.inserted_primary_key[0]) resultproxy = self.session.execute(query) return _map_col(query.columns.keys(), resultproxy.fetchone()) def _get(self, table, id_, exc_notfound, id_col=None): if id_col is None: id_col = table.c.id query = select([table])\ .where(id_col == id_) resultproxy = self.session.execute(query) results = resultproxy.fetchall() if len(results) != 1: raise exc_notfound() # Map col keys to values in result return _map_col(query.columns.keys(), results[0]) def _delete(self, table, id_, exc_notfound, id_col=None): if id_col is None: id_col = table.c.id query = table.delete()\ .where(id_col == id_) resultproxy = self.session.execute(query) if resultproxy.rowcount != 1: raise exc_notfound() # Domain Methods def create_domain(self, context, domain): try: self.session.begin() def _parse_master(master): return '%s:%d' % (master.host, master.port) masters = six.moves.map(_parse_master, self.masters) domain_values = { 'designate_id': domain['id'], 'name': domain['name'].rstrip('.'), 'master': ','.join(masters), 'type': 'SLAVE', 'account': context.tenant } self._create(tables.domains, domain_values) except Exception: with excutils.save_and_reraise_exception(): self.session.rollback() else: self.session.commit() self.mdns_api.notify_zone_changed( context, domain, self.host, self.port, self.timeout, self.retry_interval, self.max_retries, self.delay) def delete_domain(self, context, domain): # TODO(kiall): We should make this match create_domain with regard to # transactions. try: self._get(tables.domains, domain['id'], exceptions.DomainNotFound, id_col=tables.domains.c.designate_id) except exceptions.DomainNotFound: # If the Domain is already gone, that's ok. We're deleting it # anyway, so just log and continue. LOG.critical(_LC('Attempted to delete a domain which is ' 'not present in the backend. ID: %s') % domain['id']) return self._delete(tables.domains, domain['id'], exceptions.DomainNotFound, id_col=tables.domains.c.designate_id)
18,529
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9
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def session(self): # NOTE: This uses a thread local store, allowing each greenthread to # have it's own session stored correctly. Without this, each # greenthread may end up using a single global session, which # leads to bad things happening. if not hasattr(self.local_store, 'session'): self.local_store.session = session.get_session( self.name, self.connection, self.target.id) return self.local_store.session
18,530
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9
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def _create(self, table, values): query = table.insert() resultproxy = self.session.execute(query, values) # Refetch the row, for generated columns etc query = select([table])\ .where(table.c.id == resultproxy.inserted_primary_key[0]) resultproxy = self.session.execute(query) return _map_col(query.columns.keys(), resultproxy.fetchone())
18,531
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9
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def _delete(self, table, id_, exc_notfound, id_col=None): if id_col is None: id_col = table.c.id query = table.delete()\ .where(id_col == id_) resultproxy = self.session.execute(query) if resultproxy.rowcount != 1: raise exc_notfound()
18,532
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9
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def _get(self, table, id_, exc_notfound, id_col=None): if id_col is None: id_col = table.c.id query = select([table])\ .where(id_col == id_) resultproxy = self.session.execute(query) results = resultproxy.fetchall() if len(results) != 1: raise exc_notfound() # Map col keys to values in result return _map_col(query.columns.keys(), results[0])
18,533
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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": "context", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "domain", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "domain", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DomainNotFound", "value": {"_type": "Name", "_fields": {"id": "exceptions", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "designate_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}]}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Attempted to delete a domain which is not present in the backend. ID: %s"}}], "func": {"_type": "Name", "_fields": {"id": "_LC", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "domain", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "critical", "value": {"_type": "Name", "_fields": {"id": "LOG", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": null}}], "name": null, "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DomainNotFound", "value": {"_type": "Name", "_fields": {"id": "exceptions", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "domain", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DomainNotFound", "value": {"_type": "Name", "_fields": {"id": "exceptions", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_delete", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "designate_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domains", "value": {"_type": "Name", "_fields": {"id": "tables", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}]}}}}], "name": "delete_domain", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def delete_domain(self, context, domain): # TODO(kiall): We should make this match create_domain with regard to # transactions. try: self._get(tables.domains, domain['id'], exceptions.DomainNotFound, id_col=tables.domains.c.designate_id) except exceptions.DomainNotFound: # If the Domain is already gone, that's ok. We're deleting it # anyway, so just log and continue. LOG.critical(_LC('Attempted to delete a domain which is ' 'not present in the backend. ID: %s') % domain['id']) return self._delete(tables.domains, domain['id'], exceptions.DomainNotFound, id_col=tables.domains.c.designate_id)
18,534
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def create_domain(self, context, domain): try: self.session.begin() def _parse_master(master): return '%s:%d' % (master.host, master.port) masters = six.moves.map(_parse_master, self.masters) domain_values = { 'designate_id': domain['id'], 'name': domain['name'].rstrip('.'), 'master': ','.join(masters), 'type': 'SLAVE', 'account': context.tenant } self._create(tables.domains, domain_values) except Exception: with excutils.save_and_reraise_exception(): self.session.rollback() else: self.session.commit() self.mdns_api.notify_zone_changed( context, domain, self.host, self.port, self.timeout, self.retry_interval, self.max_retries, self.delay)
18,535
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10
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def remove_packages(module, packages, root): remove_c = 0 # Using a for loop in case of error, we can report the package that failed for package in packages: # Query the package first, to see if we even need to remove if not query_package(module, package, root): continue cmd = "%s --auto %s %s" % (URPME_PATH, root_option(root), package) rc, stdout, stderr = module.run_command(cmd, check_rc=False) if rc != 0: module.fail_json(msg="failed to remove %s" % (package)) remove_c += 1 if remove_c > 0: module.exit_json(changed=True, msg="removed %s package(s)" % remove_c) module.exit_json(changed=False, msg="package(s) already absent")
18,536
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8
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def query_package(module, name, root): # rpm -q returns 0 if the package is installed, # 1 if it is not installed cmd = "rpm -q %s %s" % (name, root_option(root)) rc, stdout, stderr = module.run_command(cmd, check_rc=False) if rc == 0: return True else: return False
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[{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "force"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "force_yes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "no_recommends"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "no_recommends_yes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "root"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "root", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "update_package_db", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "update_cache"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ","}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "package"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "packages", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "packages", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "root", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "force_yes", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "no_recommends_yes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "install_packages", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "state"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "installed"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "present"}}]}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "packages", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "root", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "remove_packages", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "state"}}, "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "removed"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "absent"}}]}}]}}, "orelse": []}}]}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def main(): module = AnsibleModule( argument_spec = dict( state = dict(default='installed', choices=['installed', 'removed', 'absent', 'present']), update_cache = dict(default=False, aliases=['update-cache'], type='bool'), force = dict(default=True, type='bool'), no_recommends = dict(default=True, aliases=['no-recommends'], type='bool'), package = dict(aliases=['pkg', 'name'], required=True), root = dict(aliases=['installroot']))) if not os.path.exists(URPMI_PATH): module.fail_json(msg="cannot find urpmi, looking for %s" % (URPMI_PATH)) p = module.params force_yes = p['force'] no_recommends_yes = p['no_recommends'] root = p['root'] if p['update_cache']: update_package_db(module) packages = p['package'].split(',') if p['state'] in [ 'installed', 'present' ]: install_packages(module, packages, root, force_yes, no_recommends_yes) elif p['state'] in [ 'removed', 'absent' ]: remove_packages(module, packages, root)
18,538
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11
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "'urpmi %s' failed: %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "packages", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}}}]}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "rc", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "installed", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s present(s)"}}, "right": {"_type": "Name", "_fields": {"id": "packages", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}]}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "packages", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}]}}], "name": "install_packages", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def install_packages(module, pkgspec, root, force=True, no_recommends=True): packages = "" for package in pkgspec: if not query_package_provides(module, package, root): packages += "'%s' " % package if len(packages) != 0: if no_recommends: no_recommends_yes = '--no-recommends' else: no_recommends_yes = '' if force: force_yes = '--force' else: force_yes = '' cmd = ("%s --auto %s --quiet %s %s %s" % (URPMI_PATH, force_yes, no_recommends_yes, root_option(root), packages)) rc, out, err = module.run_command(cmd) installed = True for packages in pkgspec: if not query_package_provides(module, package, root): installed = False # urpmi always have 0 for exit code if --force is used if rc or not installed: module.fail_json(msg="'urpmi %s' failed: %s" % (packages, err)) else: module.exit_json(changed=True, msg="%s present(s)" % packages) else: module.exit_json(changed=False)
18,539
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7
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""}}, "targets": [{"_type": "Name", "_fields": {"id": "source_event", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "event_type", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "event_data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "event_module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "source_event", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "SpiderFootEvent", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "evt", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "evt", "ctx": {"_type": "Load", 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"ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_handleEvent_no_api_key_should_set_errorState", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_handleEvent_no_api_key_should_set_errorState(self): sf = SpiderFoot(self.default_options) module = sfp_fsecure_riddler() module.setup(sf, dict()) target_value = 'example target value' target_type = 'IP_ADDRESS' target = SpiderFootTarget(target_value, target_type) module.setTarget(target) event_type = 'ROOT' event_data = 'example data' event_module = '' source_event = '' evt = SpiderFootEvent(event_type, event_data, event_module, source_event) result = module.handleEvent(evt) self.assertIsNone(result) self.assertTrue(module.errorState)
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9
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"Name", "_fields": {"id": "SpiderFootTarget", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "target", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "target", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setTarget", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "ROOT"}}, "targets": [{"_type": "Name", "_fields": {"id": "event_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "example data"}}, "targets": 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"source_event", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "SpiderFootEvent", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "evt", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "evt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handleEvent", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNone", "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": "errorState", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_handleEvent_no_api_key_should_set_errorState", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestModuleFsecureRiddler", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestModuleFsecureRiddler(unittest.TestCase): def test_opts(self): module = sfp_fsecure_riddler() self.assertEqual(len(module.opts), len(module.optdescs)) def test_setup(self): sf = SpiderFoot(self.default_options) module = sfp_fsecure_riddler() module.setup(sf, dict()) def test_watchedEvents_should_return_list(self): module = sfp_fsecure_riddler() self.assertIsInstance(module.watchedEvents(), list) def test_producedEvents_should_return_list(self): module = sfp_fsecure_riddler() self.assertIsInstance(module.producedEvents(), list) def test_handleEvent_no_api_key_should_set_errorState(self): sf = SpiderFoot(self.default_options) module = sfp_fsecure_riddler() module.setup(sf, dict()) target_value = 'example target value' target_type = 'IP_ADDRESS' target = SpiderFootTarget(target_value, target_type) module.setTarget(target) event_type = 'ROOT' event_data = 'example data' event_module = '' source_event = '' evt = SpiderFootEvent(event_type, event_data, event_module, source_event) result = module.handleEvent(evt) self.assertIsNone(result) self.assertTrue(module.errorState)
18,541
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9
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{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "_ZONE_XPATH", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "[@name='%s']/network/layer3"}}, "right": {"_type": "Name", "_fields": {"id": "zone_name", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "element", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "<member>%s</member>"}}, "right": {"_type": "Name", "_fields": {"id": "if_name", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set", "value": {"_type": "Name", 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def add_dhcp_if(xapi, if_name, zone_name, create_default_route): if_xml = [ '<entry name="%s">', '<layer3>', '<dhcp-client>', '<create-default-route>%s</create-default-route>', '</dhcp-client>' '</layer3>' '</entry>' ] cdr = 'yes' if not create_default_route: cdr = 'no' if_xml = (''.join(if_xml)) % (if_name, cdr) xapi.edit(xpath=_IF_XPATH % if_name, element=if_xml) xapi.set(xpath=_ZONE_XPATH+"[@name='%s']/network/layer3" % zone_name, element='<member>%s</member>' % if_name) xapi.set(xpath=_VR_XPATH+"[@name='default']/interface", element='<member>%s</member>' % if_name) return True
18,542
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10
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"changed", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "okey dokey"}}}}]}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def main(): argument_spec = dict( ip_address=dict(required=True), password=dict(required=True, no_log=True), username=dict(default='admin'), if_name=dict(required=True), zone_name=dict(required=True), create_default_route=dict(type='bool', default=False), commit=dict(type='bool', default=True) ) module = AnsibleModule(argument_spec=argument_spec, supports_check_mode=False) if not HAS_LIB: module.fail_json(msg='pan-python is required for this module') ip_address = module.params["ip_address"] password = module.params["password"] username = module.params['username'] xapi = pan.xapi.PanXapi( hostname=ip_address, api_username=username, api_password=password ) if_name = module.params['if_name'] zone_name = module.params['zone_name'] create_default_route = module.params['create_default_route'] commit = module.params['commit'] ifexists = if_exists(xapi, if_name) if ifexists: module.exit_json(changed=False, msg="interface exists, not changed") try: changed = add_dhcp_if(xapi, if_name, zone_name, create_default_route) except PanXapiError: exc = get_exception() module.fail_json(msg=exc.message) if changed and commit: xapi.commit(cmd="<commit></commit>", sync=True, interval=1) module.exit_json(changed=changed, msg="okey dokey")
18,543
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9
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def _apply_transform(self, input_tensors, **kwargs): input_tensor = input_tensors[0] if isinstance(input_tensor, ops.SparseTensor): result = ops.SparseTensor(input_tensor.indices, operation(input_tensor.values), input_tensor.shape) else: result = operation(input_tensor) # pylint: disable=not-callable return self.return_type(result)
18,544
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "on_enter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Layer", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Scene", "value": {"_type": "Name", "_fields": {"id": "scene", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_ancestor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "scn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "scn", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "push_handlers", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "window", "value": {"_type": "Name", "_fields": {"id": "director", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_event_handler", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_handlers_enabled", "value": {"_type": "Name", "_fields": {"id": "scn", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "on_enter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def on_enter(self): super(Layer, self).on_enter() scn = self.get_ancestor(scene.Scene) if not scn: return if scn._handlers_enabled: if self.is_event_handler: director.window.push_handlers( self )
18,545
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7
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def __init__(self, stream_factory=None, charset='utf-8', errors='replace', max_form_memory_size=None, cls=None, buffer_size=10 * 1024): self.stream_factory = stream_factory self.charset = charset self.errors = errors self.max_form_memory_size = max_form_memory_size if stream_factory is None: stream_factory = default_stream_factory if cls is None: cls = MultiDict self.cls = cls # make sure the buffer size is divisible by four so that we can base64 # decode chunk by chunk assert buffer_size % 4 == 0, 'buffer size has to be divisible by 4' # also the buffer size has to be at least 1024 bytes long or long headers # will freak out the system assert buffer_size >= 1024, 'buffer size has to be at least 1KB' self.buffer_size = buffer_size
18,546
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "on_exit", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Layer", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Scene", "value": {"_type": "Name", "_fields": {"id": "scene", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_ancestor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "scn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "scn", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "remove_handlers", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "window", "value": {"_type": "Name", "_fields": {"id": "director", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_event_handler", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_handlers_enabled", "value": {"_type": "Name", "_fields": {"id": "scn", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "on_exit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def on_exit(self): super(Layer, self).on_exit() scn = self.get_ancestor(scene.Scene) if not scn: return if scn._handlers_enabled: if self.is_event_handler: director.window.remove_handlers( self )
18,547
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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": "boundary", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Missing boundary"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "boundary", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Invalid boundary: %s"}}, "right": {"_type": "Name", "_fields": {"id": "boundary", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "boundary", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "is_valid_multipart_boundary", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Boundary longer than buffer size"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "boundary", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "buffer_size", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "name": "validate_boundary", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def validate_boundary(self, boundary): if not boundary: self.fail('Missing boundary') if not is_valid_multipart_boundary(boundary): self.fail('Invalid boundary: %s' % boundary) if len(boundary) > self.buffer_size: # pragma: no cover # this should never happen because we check for a minimum size # of 1024 and boundaries may not be longer than 200. The only # situation when this happen is for non debug builds where # the assert i skipped. self.fail('Boundary longer than buffer size')
18,548
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8
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def start_file_streaming(self, filename, headers, total_content_length): filename = _decode_unicode(filename, self.charset, self.errors) filename = self._fix_ie_filename(filename) content_type = headers.get('content_type') try: content_length = int(headers['content-length']) except (KeyError, ValueError): content_length = 0 container = self.stream_factory(total_content_length, content_type, filename, content_length) return filename, container
18,549
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def parse(self, file, boundary, content_length): next_part = '--' + boundary last_part = next_part + '--' form = [] files = [] in_memory = 0 iterator = chain(make_line_iter(file, limit=content_length, buffer_size=self.buffer_size), _empty_string_iter) terminator = self._find_terminator(iterator) if terminator != next_part: self.fail('Expected boundary at start of multipart data') while terminator != last_part: headers = parse_multipart_headers(iterator) disposition = headers.get('content-disposition') if disposition is None: self.fail('Missing Content-Disposition header') disposition, extra = parse_options_header(disposition) transfer_encoding = self.get_part_encoding(headers) name = extra.get('name') filename = extra.get('filename') part_charset = self.get_part_charset(headers) # if no content type is given we stream into memory. A list is # used as a temporary container. if filename is None: is_file = False container = [] _write = container.append guard_memory = self.max_form_memory_size is not None # otherwise we parse the rest of the headers and ask the stream # factory for something we can write in. else: is_file = True guard_memory = False filename, container = self.start_file_streaming( filename, headers, content_length) _write = container.write buf = '' for line in iterator: if not line: self.fail('unexpected end of stream') if line[:2] == '--': terminator = line.rstrip() if terminator in (next_part, last_part): break if transfer_encoding is not None: try: line = line.decode(transfer_encoding) except Exception: self.fail('could not decode transfer encoded chunk') # we have something in the buffer from the last iteration. # this is usually a newline delimiter. if buf: _write(buf) buf = '' # If the line ends with windows CRLF we write everything except # the last two bytes. In all other cases however we write # everything except the last byte. If it was a newline, that's # fine, otherwise it does not matter because we will write it # the next iteration. this ensures we do not write the # final newline into the stream. That way we do not have to # truncate the stream. However we do have to make sure that # if something else than a newline is in there we write it # out. if line[-2:] == '\r\n': buf = '\r\n' cutoff = -2 else: buf = line[-1] cutoff = -1 _write(line[:cutoff]) # if we write into memory and there is a memory size limit we # count the number of bytes in memory and raise an exception if # there is too much data in memory. if guard_memory: in_memory += len(line) if in_memory > self.max_form_memory_size: self.in_memory_threshold_reached(in_memory) else: # pragma: no cover raise ValueError('unexpected end of part') # if we have a leftover in the buffer that is not a newline # character we have to flush it, otherwise we will chop of # certain values. if buf not in ('', '\r', '\n', '\r\n'): _write(buf) if is_file: container.seek(0) files.append((name, FileStorage(container, filename, name, headers=headers))) else: form.append((name, _decode_unicode(''.join(container), part_charset, self.errors))) return self.cls(form), self.cls(files)
18,550
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13
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def convert_video_to_track( video: youtube.Video, album_name: str, **kwargs ) -> Track: try: adjustedLength = video.length.get() * 1000 except Exception: adjustedLength = 0 return Track( name=video.title.get(), comment=video.id, length=adjustedLength, artists=[Artist(name=video.channel.get())], album=Album(name=album_name), uri=format_video_uri(video), **kwargs, )
18,551
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13
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "playlist", "annotation": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Playlist", "value": {"_type": "Name", "_fields": {"id": "youtube", "ctx": {"_type": "Load", "_fields": {}}}}}}, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "YouTube Playlist ("}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "video_count", "value": {"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " videos)"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "album_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Track", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "title", "value": {"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "comment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "length", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "artists", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Artist", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "channel", "value": {"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "album", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Album", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Name", "_fields": {"id": "album_name", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "keyword", "_fields": {"arg": "uri", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "format_playlist_uri", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}}}], "name": "convert_playlist_to_track", "returns": {"_type": "Name", "_fields": {"id": "Track", "ctx": {"_type": "Load", "_fields": {}}}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def convert_playlist_to_track(playlist: youtube.Playlist) -> Track: album_name = f"YouTube Playlist ({playlist.video_count.get()} videos)" return Track( name=playlist.title.get(), comment=playlist.id, length=0, artists=[Artist(name=playlist.channel.get())], album=Album(name=album_name), uri=format_playlist_uri(playlist), )
18,552
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8
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def convert_videos_to_tracks(videos, album_name: str): # load audio_url in the background to be ready for playback for video in videos: video.audio_url # start loading return [ convert_video_to_track( video, album_name, track_no=count, ) for count, video in enumerate(videos, 1) ]
18,553
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12
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class YouTubeBackend(pykka.ThreadingActor, backend.Backend): def __init__(self, config, audio): super().__init__() self.config = config self.library = YouTubeLibraryProvider(backend=self) self.playback = YouTubePlaybackProvider(audio=audio, backend=self) youtube_api.youtube_api_key = ( config["youtube"]["youtube_api_key"] or None ) youtube.Video.search_results = config["youtube"]["search_results"] youtube.Playlist.playlist_max_videos = config["youtube"][ "playlist_max_videos" ] youtube.api_enabled = config["youtube"]["api_enabled"] youtube.musicapi_enabled = config["youtube"]["musicapi_enabled"] self.uri_schemes = ["youtube", "yt"] self.user_agent = "{}/{}".format(Extension.dist_name, Extension.version) def on_start(self): proxy = httpclient.format_proxy(self.config["proxy"]) youtube.Video.proxy = proxy headers = { "user-agent": httpclient.format_user_agent(self.user_agent), "Cookie": "PREF=hl=en;", "Accept-Language": "en;q=0.8", } if youtube.api_enabled is True: if youtube_api.youtube_api_key is None: logger.error("No YouTube API key provided, disabling API") youtube.api_enabled = False else: youtube.Entry.api = youtube_api.API(proxy, headers) if youtube.Entry.search(q="test") is None: logger.error( "Failed to verify YouTube API key, disabling API" ) youtube.api_enabled = False else: logger.info("YouTube API key verified") if youtube.api_enabled is False: logger.info("using bs4API") youtube.Entry.api = youtube_bs4api.bs4API(proxy, headers) if youtube.musicapi_enabled is True: logger.info("Using YouTube Music API") music = youtube_music.Music(proxy, headers) youtube.Entry.api.search = music.search youtube.Entry.api.list_playlistitems = music.list_playlistitems if youtube.api_enabled is False: youtube.Entry.api.list_playlists = music.list_playlists
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15
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "playlist", "annotation": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Playlist", "value": {"_type": "Name", "_fields": {"id": "youtube", "ctx": {"_type": "Load", "_fields": {}}}}}}, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Album", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "title", "value": {"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "artists", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Artist", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "YouTube Playlist ("}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "video_count", "value": {"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " videos)"}}]}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "uri", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "playlist", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "format_playlist_uri", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}}}], "name": "convert_playlist_to_album", "returns": {"_type": "Name", "_fields": {"id": "Album", "ctx": {"_type": "Load", "_fields": {}}}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def convert_playlist_to_album(playlist: youtube.Playlist) -> Album: return Album( name=playlist.title.get(), artists=[ Artist( name=f"YouTube Playlist ({playlist.video_count.get()} videos)" ) ], uri=format_playlist_uri(playlist), )
18,555
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"musicapi_enabled"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "youtube"}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "musicapi_enabled", "value": {"_type": "Name", "_fields": {"id": "youtube", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "youtube"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "yt"}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "uri_schemes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dist_name", "value": {"_type": "Name", "_fields": {"id": "Extension", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version", "value": {"_type": "Name", "_fields": {"id": "Extension", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "{}/{}"}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "user_agent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, config, audio): super().__init__() self.config = config self.library = YouTubeLibraryProvider(backend=self) self.playback = YouTubePlaybackProvider(audio=audio, backend=self) youtube_api.youtube_api_key = ( config["youtube"]["youtube_api_key"] or None ) youtube.Video.search_results = config["youtube"]["search_results"] youtube.Playlist.playlist_max_videos = config["youtube"][ "playlist_max_videos" ] youtube.api_enabled = config["youtube"]["api_enabled"] youtube.musicapi_enabled = config["youtube"]["musicapi_enabled"] self.uri_schemes = ["youtube", "yt"] self.user_agent = "{}/{}".format(Extension.dist_name, Extension.version)
18,556
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11
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"If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "list_playlists", "value": {"_type": "Name", "_fields": {"id": "music", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "list_playlists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "api", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Entry", "value": {"_type": "Name", "_fields": {"id": "youtube", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "api_enabled", "value": {"_type": "Name", "_fields": {"id": "youtube", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}]}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "musicapi_enabled", "value": {"_type": "Name", "_fields": {"id": "youtube", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}, "orelse": []}}], "name": "on_start", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def on_start(self): proxy = httpclient.format_proxy(self.config["proxy"]) youtube.Video.proxy = proxy headers = { "user-agent": httpclient.format_user_agent(self.user_agent), "Cookie": "PREF=hl=en;", "Accept-Language": "en;q=0.8", } if youtube.api_enabled is True: if youtube_api.youtube_api_key is None: logger.error("No YouTube API key provided, disabling API") youtube.api_enabled = False else: youtube.Entry.api = youtube_api.API(proxy, headers) if youtube.Entry.search(q="test") is None: logger.error( "Failed to verify YouTube API key, disabling API" ) youtube.api_enabled = False else: logger.info("YouTube API key verified") if youtube.api_enabled is False: logger.info("using bs4API") youtube.Entry.api = youtube_bs4api.bs4API(proxy, headers) if youtube.musicapi_enabled is True: logger.info("Using YouTube Music API") music = youtube_music.Music(proxy, headers) youtube.Entry.api.search = music.search youtube.Entry.api.list_playlistitems = music.list_playlistitems if youtube.api_enabled is False: youtube.Entry.api.list_playlists = music.list_playlists
18,557
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"Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "tracks", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "Name", "_fields": {"id": "entries", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "entry", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pl", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "convert_playlist_to_album", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "albums", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "videos", "value": {"_type": "Name", "_fields": {"id": "pl", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "iter": {"_type": "Name", "_fields": {"id": "playlists", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "pl", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SearchResult", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "uri", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "youtube:search"}}}}, {"_type": "keyword", "_fields": {"arg": "tracks", "value": {"_type": "Name", "_fields": {"id": "tracks", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "artists", "value": {"_type": "Name", "_fields": {"id": "artists", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "albums", "value": {"_type": "Name", "_fields": {"id": "albums", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "search", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def search(self, query=None, uris=None, exact=False): # TODO Support exact search logger.info('youtube LibraryProvider.search "%s"', query) # handle only searching (queries with 'any') not browsing! if not (query and "any" in query): return None search_query = " ".join(query["any"]) logger.info('Searching YouTube for query "%s"', search_query) try: entries = youtube.Entry.search(search_query) except Exception as e: logger.error('search error "%s"', e) return None # load playlist info (to get video_count) of all playlists together playlists = [entry for entry in entries if not entry.is_video] youtube.Playlist.load_info(playlists) albums = [] artists = [] tracks = [] for entry in entries: if entry.is_video: tracks.append(convert_video_to_track(entry, "YouTube Video")) # # does it make sense to try to return youtube 'channels' as # # mopidy 'artists'? I'm not convinced. # if entry.channelId.get(): # artists.append( # Artist( # name=f"YouTube Channel: {entry.channel.get()}", # uri=f"youtube:channel:{entry.channelId.get()}", # ) # ) # else: # logger.info("no channelId") else: tracks.append(convert_playlist_to_track(entry)) # load video info and playlist videos in the background. they should be # ready by the time the user adds search results to the playing queue for pl in playlists: albums.append(convert_playlist_to_album(pl)) pl.videos # start loading return SearchResult( uri="youtube:search", tracks=tracks, artists=artists, albums=albums )
18,558
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11
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def lookup_playlist_tracks(self, playlist_id: str): playlist = youtube.Playlist.get(playlist_id) if not playlist.videos.get(): return None # ignore videos for which no info was found (removed, etc) videos = [ video for video in playlist.videos.get() if video.length.get() is not None ] album_name = playlist.title.get() return convert_videos_to_tracks(videos, album_name)
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def test_cluster_policy_list(self): name = self.name_generate() po = self.policy_create(name) self.addCleanup(self.policy_delete, po['id']) pf = self.profile_create(name) self.addCleanup(self.profile_delete, pf['id']) cluster = self.cluster_create(pf['id'], name) self.addCleanup(self.cluster_delete, cluster['id']) cmd = ('cluster policy attach --policy %s %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120) # List cluster policy binding cmd = ('cluster policy binding list --filters policy_name=%s %s' % (po['name'], cluster['id'])) result = self.openstack(cmd) binding_list = self.parser.listing(result) self.assertTableStruct(binding_list, ['policy_id', 'policy_name', 'policy_type', 'is_enabled']) cmd = ('cluster policy detach --policy %s %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120)
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def test_cluster_policy_attach_and_detach(self): name = self.name_generate() po = self.policy_create(name) self.addCleanup(self.policy_delete, po['id']) pf = self.profile_create(name) self.addCleanup(self.profile_delete, pf['id']) cluster = self.cluster_create(pf['id'], name) self.addCleanup(self.cluster_delete, cluster['id']) cp_raw = self.openstack('cluster policy binding list %s' % cluster['id']) cp_data = self.show_to_dict(cp_raw) self.assertEqual({}, cp_data) # Attach policy to cluster cmd = ('cluster policy attach --policy %s %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120) cmd = ('cluster policy binding show --policy %s %s' % (po['id'], cluster['id'])) policy_raw = self.openstack(cmd) policy_data = self.show_to_dict(policy_raw) self.assertEqual(po['name'], policy_data['policy_name']) self.assertEqual(cluster['name'], policy_data['cluster_name']) self.assertTrue(policy_data['is_enabled']) # Detach policy from cluster cmd = ('cluster policy detach --policy %s %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120) cp_raw = self.openstack('cluster policy binding list %s' % cluster['id']) cp_data = self.show_to_dict(cp_raw) self.assertEqual({}, cp_data)
18,561
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def test_cluster_policy_update(self): name = self.name_generate() po = self.policy_create(name) self.addCleanup(self.policy_delete, po['id']) pf = self.profile_create(name) self.addCleanup(self.profile_delete, pf['id']) cluster = self.cluster_create(pf['id'], name) self.addCleanup(self.cluster_delete, cluster['id']) cmd = ('cluster policy attach --policy %s %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120) # Update cluster policy binding cmd = ('cluster policy binding update --policy %s --enabled false %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120) cp_update = self.openstack('cluster policy binding show --policy %s %s' % (po['id'], cluster['id'])) cp_update_data = self.show_to_dict(cp_update) self.assertFalse(cp_update_data['is_enabled'].isupper()) cmd = ('cluster policy detach --policy %s %s' % (po['id'], cluster['id'])) self.openstack(cmd) self.wait_for_status(cluster['id'], 'ACTIVE', 'cluster', 120)
18,562
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"check_string", "value": {"_type": "Name", "_fields": {"id": "checker", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "check", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "check", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "input", "value": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "value"}}], "func": {"_type": "Name", "_fields": {"id": "is_param", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "errors", "value": {"_type": "Name", "_fields": {"id": "checker", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "alert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "view", "value": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "check", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "validates_snapshot", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def validates_snapshot(obj): checker = Checker() check = True _ = obj._ checker.errors = [] if is_param(obj.input, 'title'): check = checker.check_string( _('Title'), obj.input.title, CHECK_LENGTH | CHECK_ONLYSPACE, None, min = NOTE_TITLE_MIN_LENGTH, max = NOTE_TITLE_MAX_LENGTH, ) and check if is_param(obj.input, 'value'): check = checker.check_string( _('Note'), obj.input.value, CHECK_ONLYSPACE, None, None, None, ) and check obj.view.alert = checker.errors return check
18,563
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"_jobgroup", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "m2j_new", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "machine", "value": {"_type": "Name", "_fields": {"id": "guest", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "jobgroup_id", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, {"_type": "keyword", "_fields": {"arg": "uniq_key", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "env.uniqkey"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sheconf", "value": {"_type": "Name", "_fields": {"id": "karesansui", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "created_user", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "me", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "modified_user", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "me", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "_machine2jobgroup", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pysilhouette", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "_machine2jobgroup", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "_jobgroup", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "save_job_collaboration", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "snapshot_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "guest_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "s_findbyname_guestby1", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "snapshot", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "snapshot", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "logical_delete", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "snapshot", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "accepted", "value": {"_type": "Name", "_fields": {"id": "web", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_DELETE", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "auth", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "GuestBy1SnapshotBy1", "bases": [{"_type": "Name", "_fields": {"id": "Rest", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class GuestBy1SnapshotBy1(Rest): @auth def _GET(self, *param, **params): (host_id, guest_id) = self.chk_guestby1(param) if guest_id is None: return web.notfound() snapshot_id = param[2] if not validates_param_id(self, snapshot_id): return web.notfound(self.view.alert) guest = m_findbyguest1(self.orm, guest_id) if not guest: return web.notfound() kvs = KaresansuiVirtSnapshot(readonly=False) snapshot_list = [] try: domname = kvs.kvc.uuid_to_domname(guest.uniq_key) if not domname: return web.notfound() self.view.is_creatable = kvs.isSupportedDomain(domname) try: snapshot_list = kvs.listNames(domname)[domname] except: pass parent_name = kvs.getParentName(snapshot_id,domain=domname) if parent_name is None: parent_name = _('None') children_names = kvs.getChildrenNames(snapshot_id,domain=domname) if len(children_names) == 0: children_name = _('None') else: children_name = ",".join(children_names) model = s_findbyname_guestby1(self.orm, snapshot_id, guest_id) if model is None: name = snapshot_id notebook_title = "" notebook_value = "" created_user = _("N/A") created = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(snapshot_id))) modified_user = _("N/A") modified = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(snapshot_id))) else: name = model.name notebook_title = model.notebook.title notebook_value = model.notebook.value created_user = model.created_user.nickname created = model.created modified_user = model.modified_user.nickname modified = model.modified current_snapshot = kvs.getCurrentSnapshotName(domname) current = False if snapshot_id == current_snapshot: current = True finally: kvs.finish() if not snapshot_id in snapshot_list: self.logger.error(_("The specified snapshot does not exist. - %s") % snapshot_id) return web.notfound() if self.__template__["media"] == 'json': self.view.snapshot = json_dumps(( snapshot_id, notebook_title, notebook_value, domname, created_user, created, modified_user, modified, current, parent_name, children_name, )) else: self.view.snapshot = (snapshot_id, notebook_title, notebook_value, domname, created_user, created, modified_user, modified, current, parent_name, children_name, ) return True @auth def _PUT(self, *param, **params): (host_id, guest_id) = self.chk_guestby1(param) if guest_id is None: return web.notfound() snapshot_id = param[2] if not validates_param_id(self, snapshot_id): return web.notfound(self.view.alert) if not validates_snapshot(self): return web.badrequest(self.view.alert) guest = m_findbyguest1(self.orm, guest_id) if not guest: return web.notfound() snapshot = s_findbyname_guestby1(self.orm, snapshot_id, guest_id) if not snapshot: notebook = new_notebook(self.input.title, self.input.value) snapshot = new_snapshot(guest, int(snapshot_id), self.me, self.me, notebook) save_snapshot(self.orm, snapshot) else: snapshot.notebook.title = self.input.title snapshot.notebook.value = self.input.value return web.seeother(web.ctx.path) @auth def _DELETE(self, *param, **params): (host_id, guest_id) = self.chk_guestby1(param) if guest_id is None: return web.notfound() snapshot_id = param[2] if not validates_param_id(self, snapshot_id): return web.notfound(self.view.alert) guest = m_findbyguest1(self.orm, guest_id) if not guest: return web.notfound() kvs = KaresansuiVirtSnapshot(readonly=False) snapshot_list = [] try: domname = kvs.kvc.uuid_to_domname(guest.uniq_key) if not domname: return web.notfound() self.view.is_creatable = kvs.isSupportedDomain(domname) try: snapshot_list = kvs.listNames(domname)[domname] except: pass current_snapshot = kvs.getCurrentSnapshotName(domname) finally: kvs.finish() if not snapshot_id in snapshot_list: self.logger.error(_("The specified snapshot does not exist. - %s") % snapshot_id) return web.notfound() # delete action_cmd = dict2command( "%s/%s" % (karesansui.config['application.bin.dir'], VIRT_COMMAND_DELETE_SNAPSHOT), {"name" : domname, "id" : snapshot_id}) cmdname = "Delete Snapshot" _jobgroup = JobGroup(cmdname, karesansui.sheconf['env.uniqkey']) _job = Job('%s command' % cmdname, 0, action_cmd) _jobgroup.jobs.append(_job) _machine2jobgroup = m2j_new(machine=guest, jobgroup_id=-1, uniq_key=karesansui.sheconf['env.uniqkey'], created_user=self.me, modified_user=self.me, ) save_job_collaboration(self.orm, self.pysilhouette.orm, _machine2jobgroup, _jobgroup, ) snapshot = s_findbyname_guestby1(self.orm, snapshot_id, guest_id) if snapshot: logical_delete(self.orm, snapshot) return web.accepted()
18,564
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10
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def validates_param_id(obj, snapshot_id): checker = Checker() check = True _ = obj._ checker.errors = [] check = checker.check_number( _('Snapshot ID'), snapshot_id, CHECK_EMPTY | CHECK_VALID | CHECK_MIN | CHECK_MAX, min = ID_MIN_LENGTH, max = ID_MAX_LENGTH, ) and check obj.view.alert = checker.errors return check
18,565
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def _GET(self, *param, **params): (host_id, guest_id) = self.chk_guestby1(param) if guest_id is None: return web.notfound() snapshot_id = param[2] if not validates_param_id(self, snapshot_id): return web.notfound(self.view.alert) guest = m_findbyguest1(self.orm, guest_id) if not guest: return web.notfound() kvs = KaresansuiVirtSnapshot(readonly=False) snapshot_list = [] try: domname = kvs.kvc.uuid_to_domname(guest.uniq_key) if not domname: return web.notfound() self.view.is_creatable = kvs.isSupportedDomain(domname) try: snapshot_list = kvs.listNames(domname)[domname] except: pass parent_name = kvs.getParentName(snapshot_id,domain=domname) if parent_name is None: parent_name = _('None') children_names = kvs.getChildrenNames(snapshot_id,domain=domname) if len(children_names) == 0: children_name = _('None') else: children_name = ",".join(children_names) model = s_findbyname_guestby1(self.orm, snapshot_id, guest_id) if model is None: name = snapshot_id notebook_title = "" notebook_value = "" created_user = _("N/A") created = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(snapshot_id))) modified_user = _("N/A") modified = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(int(snapshot_id))) else: name = model.name notebook_title = model.notebook.title notebook_value = model.notebook.value created_user = model.created_user.nickname created = model.created modified_user = model.modified_user.nickname modified = model.modified current_snapshot = kvs.getCurrentSnapshotName(domname) current = False if snapshot_id == current_snapshot: current = True finally: kvs.finish() if not snapshot_id in snapshot_list: self.logger.error(_("The specified snapshot does not exist. - %s") % snapshot_id) return web.notfound() if self.__template__["media"] == 'json': self.view.snapshot = json_dumps(( snapshot_id, notebook_title, notebook_value, domname, created_user, created, modified_user, modified, current, parent_name, children_name, )) else: self.view.snapshot = (snapshot_id, notebook_title, notebook_value, domname, created_user, created, modified_user, modified, current, parent_name, children_name, ) return True
18,566
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9
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def _PUT(self, *param, **params): (host_id, guest_id) = self.chk_guestby1(param) if guest_id is None: return web.notfound() snapshot_id = param[2] if not validates_param_id(self, snapshot_id): return web.notfound(self.view.alert) if not validates_snapshot(self): return web.badrequest(self.view.alert) guest = m_findbyguest1(self.orm, guest_id) if not guest: return web.notfound() snapshot = s_findbyname_guestby1(self.orm, snapshot_id, guest_id) if not snapshot: notebook = new_notebook(self.input.title, self.input.value) snapshot = new_snapshot(guest, int(snapshot_id), self.me, self.me, notebook) save_snapshot(self.orm, snapshot) else: snapshot.notebook.title = self.input.title snapshot.notebook.value = self.input.value return web.seeother(web.ctx.path)
18,567
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11
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class Command(BaseCommand): help = """Migrate the specified user's Gravatar over to an avatar that we serve. If two email addresses are specified, use the Gravatar for the first and upload the image for both email addresses.""" def add_arguments(self, parser): parser.add_argument('old_email', metavar='<old email>', type=str, help="user whose Gravatar should be migrated") parser.add_argument('new_email', metavar='<new email>', type=str, nargs='?', default=None, help="user to copy the Gravatar to") def handle(self, *args, **options): old_email = options['old_email'] if options['new_email']: new_email = options['new_email'] else: new_email = old_email gravatar_url = "https://secure.gravatar.com/avatar/%s?d=identicon" % (gravatar_hash(old_email),) gravatar_data = requests.get(gravatar_url).content gravatar_file = SimpleUploadedFile('gravatar.jpg', gravatar_data, 'image/jpeg') try: user_profile = get_user_profile_by_email(old_email) except UserProfile.DoesNotExist: try: user_profile = get_user_profile_by_email(new_email) except UserProfile.DoesNotExist: raise CommandError("Could not find specified user") upload_avatar_image(gravatar_file, user_profile, old_email) if old_email != new_email: gravatar_file.seek(0) upload_avatar_image(gravatar_file, user_profile, new_email) user_profile.avatar_source = UserProfile.AVATAR_FROM_USER user_profile.save(update_fields=['avatar_source'])
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"ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jobs", "value": {"_type": "Name", "_fields": {"id": "_jobgroup", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "m2j_new", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "machine", "value": {"_type": "Name", "_fields": {"id": "guest", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "jobgroup_id", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, {"_type": "keyword", "_fields": {"arg": "uniq_key", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "env.uniqkey"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sheconf", "value": {"_type": "Name", "_fields": {"id": "karesansui", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "created_user", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "me", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "modified_user", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "me", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "_machine2jobgroup", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pysilhouette", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "_machine2jobgroup", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "_jobgroup", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "save_job_collaboration", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "snapshot_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "guest_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "s_findbyname_guestby1", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "snapshot", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "orm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "snapshot", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "logical_delete", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "snapshot", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "accepted", "value": {"_type": "Name", "_fields": {"id": "web", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_DELETE", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _DELETE(self, *param, **params): (host_id, guest_id) = self.chk_guestby1(param) if guest_id is None: return web.notfound() snapshot_id = param[2] if not validates_param_id(self, snapshot_id): return web.notfound(self.view.alert) guest = m_findbyguest1(self.orm, guest_id) if not guest: return web.notfound() kvs = KaresansuiVirtSnapshot(readonly=False) snapshot_list = [] try: domname = kvs.kvc.uuid_to_domname(guest.uniq_key) if not domname: return web.notfound() self.view.is_creatable = kvs.isSupportedDomain(domname) try: snapshot_list = kvs.listNames(domname)[domname] except: pass current_snapshot = kvs.getCurrentSnapshotName(domname) finally: kvs.finish() if not snapshot_id in snapshot_list: self.logger.error(_("The specified snapshot does not exist. - %s") % snapshot_id) return web.notfound() # delete action_cmd = dict2command( "%s/%s" % (karesansui.config['application.bin.dir'], VIRT_COMMAND_DELETE_SNAPSHOT), {"name" : domname, "id" : snapshot_id}) cmdname = "Delete Snapshot" _jobgroup = JobGroup(cmdname, karesansui.sheconf['env.uniqkey']) _job = Job('%s command' % cmdname, 0, action_cmd) _jobgroup.jobs.append(_job) _machine2jobgroup = m2j_new(machine=guest, jobgroup_id=-1, uniq_key=karesansui.sheconf['env.uniqkey'], created_user=self.me, modified_user=self.me, ) save_job_collaboration(self.orm, self.pysilhouette.orm, _machine2jobgroup, _jobgroup, ) snapshot = s_findbyname_guestby1(self.orm, snapshot_id, guest_id) if snapshot: logical_delete(self.orm, snapshot) return web.accepted()
18,569
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10
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{"_type": "Load", "_fields": {}}}}}}]}}]}}}}], "name": "__eq__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "other", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__eq__", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "name": "__ne__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "DepRelation", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class DepRelation(object): # direction PROVIDE = 1 USE = 2 # rel_type ENTITY = 1 PACKAGE = 2 INCLUDE = 3 def __init__(self, obj_name, direction, rel_type): assert direction in [DepRelation.PROVIDE, DepRelation.USE] assert rel_type in [DepRelation.ENTITY, DepRelation.PACKAGE, DepRelation.INCLUDE] self.direction = direction self.rel_type = rel_type self.obj_name = obj_name def satisfies(self, rel_b): if rel_b.direction == DepRelation.PROVIDE or self.direction == DepRelation.USE: return False if rel_b.rel_type == self.rel_type and rel_b.obj_name == self.obj_name: return True return False def library(self): if self.rel_type == DepRelation.PACKAGE: libdotpackage = self.obj_name try: lib, package = libdotpackage.split('.') return lib except ValueError: return None else: return None def __repr__(self): dstr = {self.USE: "Use", self.PROVIDE: "Provide"} ostr = {self.ENTITY: "entity/module", self.PACKAGE: "package", self.INCLUDE: "include/header"} return "%s %s '%s'" % (dstr[self.direction], ostr[self.rel_type], self.obj_name) def __hash__(self): return hash(self.__repr__()) def __eq__(self, other): return (isinstance(other, self.__class__) and self.__dict__ == other.__dict__) def __ne__(self, other): return not self.__eq__(other)
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10
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"BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "https://secure.gravatar.com/avatar/%s?d=identicon"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "old_email", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "gravatar_hash", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "gravatar_url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "content", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "gravatar_url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": 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[{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Could not find specified user"}}], "func": {"_type": "Name", "_fields": {"id": "CommandError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DoesNotExist", "value": {"_type": "Name", "_fields": {"id": "UserProfile", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}], "name": null, "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DoesNotExist", "value": {"_type": "Name", "_fields": {"id": "UserProfile", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "gravatar_file", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", 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"_fields": {"id": "new_email", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "upload_avatar_image", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "old_email", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "new_email", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AVATAR_FROM_USER", "value": {"_type": "Name", "_fields": {"id": "UserProfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "avatar_source", "value": {"_type": "Name", "_fields": {"id": "user_profile", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Name", "_fields": {"id": "user_profile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "update_fields", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "avatar_source"}}]}}}}]}}}}], "name": "handle", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def handle(self, *args, **options): old_email = options['old_email'] if options['new_email']: new_email = options['new_email'] else: new_email = old_email gravatar_url = "https://secure.gravatar.com/avatar/%s?d=identicon" % (gravatar_hash(old_email),) gravatar_data = requests.get(gravatar_url).content gravatar_file = SimpleUploadedFile('gravatar.jpg', gravatar_data, 'image/jpeg') try: user_profile = get_user_profile_by_email(old_email) except UserProfile.DoesNotExist: try: user_profile = get_user_profile_by_email(new_email) except UserProfile.DoesNotExist: raise CommandError("Could not find specified user") upload_avatar_image(gravatar_file, user_profile, old_email) if old_email != new_email: gravatar_file.seek(0) upload_avatar_image(gravatar_file, user_profile, new_email) user_profile.avatar_source = UserProfile.AVATAR_FROM_USER user_profile.save(update_fields=['avatar_source'])
18,571
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10
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class File(object): def __init__(self, path, module=None): self.path = path if module is None: self.module = global_mod.top_module else: assert not isinstance(module, basestring) self.module = module @property def name(self): return os.path.basename(self.path) @property def purename(self): return os.path.splitext(self.name)[0] @property def dirname(self): return os.path.dirname(self.path) def rel_path(self, dir=None): if dir is None: dir = os.getcwd() return path_mod.relpath(self.path, dir) def __str__(self): return self.path def __eq__(self, other): _NOTFOUND = object() v1, v2 = [getattr(obj, "path", _NOTFOUND) for obj in [self, other]] if v1 is _NOTFOUND or v2 is _NOTFOUND: return False elif v1 != v2: return False return True def __hash__(self): return hash(self.path) def __cmp__(self, other): if self.path < other.path: return -1 if self.path == other.path: return 0 if self.path > other.path: return 1 def __ne__(self, other): return not self.__eq__(other) def isdir(self): return os.path.isdir(self.path) def show(self): print(self.path) def extension(self): tmp = self.path.rsplit('.') ext = tmp[len(tmp)-1] return ext
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8
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def __eq__(self, other): _NOTFOUND = object() v1, v2 = [getattr(obj, "path", _NOTFOUND) for obj in [self, other]] if v1 is _NOTFOUND or v2 is _NOTFOUND: return False elif v1 != v2: return False return True
18,573
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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": "p4toEbpf arguments"}}}}]}}, "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": "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": "metavar", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "source"}}}}, {"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "a P4 source file to compile"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "-g"}}], "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": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "generated"}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "router"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "kind of output produced: filter or router"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "-o"}}], "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": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "output_file"}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "output.c"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "generated C file name"}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "get_parser", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def get_parser(): parser = argparse.ArgumentParser(description='p4toEbpf arguments') parser.add_argument('source', metavar='source', type=str, help='a P4 source file to compile') parser.add_argument('-g', dest='generated', default="router", help="kind of output produced: filter or router") parser.add_argument('-o', dest='output_file', default="output.c", help="generated C file name") return parser
18,574
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9
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def process(input_args): parser = get_parser() args, unparsed_args = parser.parse_known_args(input_args) has_remaining_args = False preprocessor_args = [] for a in unparsed_args: if a[:2] == "-D" or a[:2] == "-I" or a[:2] == "-U": input_args.remove(a) preprocessor_args.append(a) else: has_remaining_args = True # trigger error if has_remaining_args: parser.parse_args(input_args) if args.generated == "router": isRouter = True elif args.generated == "filter": isRouter = False else: print("-g should be one of 'filter' or 'router'") print("*** Compiling ", args.source) return compileP4(args.source, args.output_file, isRouter, preprocessor_args)
18,575
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11
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def compileP4(inputFile, gen_file, isRouter, preprocessor_args): h = HLIR(inputFile) for parg in preprocessor_args: h.add_preprocessor_args(parg) if not h.build(): return CompileResult("HLIR", "Error while building HLIR") try: basename = os.path.basename(inputFile) basename = os.path.splitext(basename)[0] config = target.BccConfig() e = EbpfProgram(basename, h, isRouter, config) serializer = ProgramSerializer() e.toC(serializer) f = open(gen_file, 'w') f.write(serializer.toString()) return CompileResult("OK", "") except CompilationException as e: prefix = "" if e.isBug: prefix = "### Compiler bug: " return CompileResult("bug", prefix + e.show()) except NotSupportedException as e: return CompileResult("not supported", e.show()) except: return CompileResult("exception", traceback.format_exc())
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def __getAngularMatrix_M(self, l, j, ll, jj, l1, j1, l2, j2): # did we already calculated this matrix? c = self.conn.cursor() c.execute('''SELECT ind FROM pair_angularMatrix WHERE l1 = ? AND j1_x2 = ? AND l2 = ? AND j2_x2 = ? AND l3 = ? AND j3_x2 = ? AND l4 = ? AND j4_x2 = ? ''', (l, j * 2, ll, jj * 2, l1, j1 * 2, l2, j2 * 2)) index = c.fetchone() if (index): return self.savedAngularMatrix_matrix[index[0]] # determine coupling dl = abs(l - l1) dj = abs(j - j1) c1 = 0 if dl == 1 and (dj < 1.1): c1 = 1 # dipole coupling elif (dl == 0 or dl == 2 or dl == 1): c1 = 2 # quadrupole coupling else: raise ValueError("error in __getAngularMatrix_M") dl = abs(ll - l2) dj = abs(jj - j2) c2 = 0 if dl == 1 and (dj < 1.1): c2 = 1 # dipole coupling elif (dl == 0 or dl == 2 or dl == 1): c2 = 2 # quadrupole coupling else: raise ValueError("error in __getAngularMatrix_M") am = np.zeros((int(round((2 * j1 + 1) * (2 * j2 + 1), 0)), int(round((2 * j + 1) * (2 * jj + 1), 0))), dtype=np.float64) if (c1 > self.interactionsUpTo) or (c2 > self.interactionsUpTo): return am j1range = np.linspace(-j1, j1, round(2 * j1) + 1) j2range = np.linspace(-j2, j2, round(2 * j2) + 1) jrange = np.linspace(-j, j, int(2 * j) + 1) jjrange = np.linspace(-jj, jj, int(2 * jj) + 1) for m1 in j1range: for m2 in j2range: # we have chosen the first index index1 = int(round(m1 * (2.0 * j2 + 1.0) + m2 + (j1 * (2.0 * j2 + 1.0) + j2), 0)) for m in jrange: for mm in jjrange: # we have chosen the second index index2 = int(round(m * (2.0 * jj + 1.0) + mm + (j * (2.0 * jj + 1.0) + jj), 0) ) # angular matrix element from Sa??mannshausen, Heiner, # Merkt, Fr??d??ric, Deiglmayr, Johannes # PRA 92: 032505 (2015) elem = (-1.0)**(j + jj + self.s1 + self.s2 + l1 + l2) * \ CG(l, 0, c1, 0, l1, 0) * CG(ll, 0, c2, 0, l2, 0) elem = elem * \ sqrt((2.0 * l + 1.0) * (2.0 * ll + 1.0)) * \ sqrt((2.0 * j + 1.0) * (2.0 * jj + 1.0)) elem = elem * \ Wigner6j(l, self.s1, j, j1, c1, l1) * \ Wigner6j(ll, self.s2, jj, j2, c2, l2) sumPol = 0.0 # sum over polarisations limit = min(c1, c2) for p in xrange(-limit, limit + 1): sumPol = sumPol + \ self.fcp[c1, c2, p + self.interactionsUpTo] * \ CG(j, m, c1, p, j1, m1) *\ CG(jj, mm, c2, -p, j2, m2) am[index1, index2] = elem * sumPol index = len(self.savedAngularMatrix_matrix) c.execute(''' INSERT INTO pair_angularMatrix VALUES (?,?, ?,?, ?,?, ?,?, ?)''', (l, j * 2, ll, jj * 2, l1, j1 * 2, l2, j2 * 2, index)) self.conn.commit() self.savedAngularMatrix_matrix.append(am) self.savedAngularMatrixChanged = True return am
18,577
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10
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def __updateAngularMatrixElementsFile(self): if not (self.savedAngularMatrixChanged): return try: c = self.conn.cursor() c.execute('''SELECT * FROM pair_angularMatrix ''') data = [] for v in c.fetchall(): data.append(v) data = np.array(data, dtype=np.float32) data[:, 1] /= 2. # 2 r j1 -> j1 data[:, 3] /= 2. # 2 r j2 -> j2 data[:, 5] /= 2. # 2 r j3 -> j3 data[:, 7] /= 2. # 2 r j4 -> j4 fileHandle = gzip.GzipFile( os.path.join(self.dataFolder, self.angularMatrixFile_meta), 'wb' ) np.save(fileHandle, data) fileHandle.close() except IOError as e: print("Error while updating angularMatrix \ data meta (description) File " + self.angularMatrixFile_meta) try: fileHandle = gzip.GzipFile( os.path.join(self.dataFolder, self.angularMatrixFile), 'wb' ) np.save(fileHandle, self.savedAngularMatrix_matrix) fileHandle.close() except IOError as e: print("Error while updating angularMatrix \ data File " + self.angularMatrixFile) print(e)
18,578
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10
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def __loadAngularMatrixElementsFile(self): try: fileHandle = gzip.GzipFile( os.path.join(self.dataFolder, self.angularMatrixFile_meta), 'rb' ) data = np.load(fileHandle, encoding='latin1', allow_pickle=True) fileHandle.close() except Exception as ex: print(ex) print("Note: No saved angular matrix metadata files to be loaded.") print(sys.exc_info()) return data[:, 1] *= 2 # j1 -> 2 r j1 data[:, 3] *= 2 # j2 -> 2 r j2 data[:, 5] *= 2 # j3 -> 2 r j3 data[:, 7] *= 2 # j4 -> 2 r j4 data = np.array(np.rint(data), dtype=np.int) try: c = self.conn.cursor() c.executemany('''INSERT INTO pair_angularMatrix (l1, j1_x2 , l2 , j2_x2 , l3, j3_x2, l4 , j4_x2 , ind) VALUES (?,?,?,?,?,?,?,?,?)''', data) self.conn.commit() except sqlite3.Error as e: print("Error while loading precalculated values into the database!") print(e) exit() if len(data) == 0: print("error") return try: fileHandle = gzip.GzipFile( os.path.join(self.dataFolder, self.angularMatrixFile), 'rb' ) self.savedAngularMatrix_matrix = np.load( fileHandle, encoding='latin1', allow_pickle=True).tolist() fileHandle.close() except Exception as ex: print(ex) print("Note: No saved angular matrix files to be loaded.") print(sys.exc_info())
18,579
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def __makeRawMatrix2(self, n, l, j, nn, ll, jj, k, lrange, limit, limitBasisToMj, progressOutput=False, debugOutput=False): # limit = limit in Hz on energy defect # k defines range of n' = [n-k, n+k] dimension = 0 # which states/channels contribute significantly in the second order perturbation? states = [] # original pairstate index opi = 0 # this numbers are conserved if we use only dipole-dipole interactions Lmod2 = ((l + ll) % 2) l1start = max(l - self.interactionsUpTo, 0) l2start = max(ll - self.interactionsUpTo, 0) if debugOutput: print("\n ======= Relevant states =======\n") for n1 in xrange(max(n - k, 1), n + k + 1): for n2 in xrange(max(nn - k, 1), nn + k + 1): l1max = max(l + self.interactionsUpTo, lrange) + 1 l1max = min(l1max, n1 - 1) for l1 in xrange(l1start, l1max): l2max = max(ll + self.interactionsUpTo, lrange) + 1 l2max = min(l2max, n2 - 1) for l2 in xrange(l2start, l2max): j1 = l1 - self.s1 while j1 < -0.1: j1 += 2 * self.s1 while j1 <= l1 + self.s1 + 0.1: j2 = l2 - self.s2 while j2 < -0.1: j2 += 2 * self.s2 while j2 <= l2 + self.s2 + 0.1: ed = self.__getEnergyDefect(n, l, j, nn, ll, jj, n1, l1, j1, n2, l2, j2) / C_h if (abs(ed) < limit and (not (self.interactionsUpTo == 1) or (Lmod2 == ((l1 + l2) % 2))) and ((not limitBasisToMj) or (j1 + j2 + 0.1 > self.m1 + self.m2)) and (n1 >= self.atom1.groundStateN or [n1, l1, j1] in self.atom1.extraLevels) and (n2 >= self.atom2.groundStateN or [n2, l2, j2] in self.atom2.extraLevels) ): if debugOutput: pairState = ( "|" + printStateString(n1, l1, j1, s=self.s1) + "," + printStateString(n2, l2, j2, s=self.s2) + ">") print( pairState + ("\t EnergyDefect = %.3f GHz" % (ed * 1.e-9) ) ) states.append([n1, l1, j1, n2, l2, j2]) if (n == n1 and nn == n2 and l == l1 and ll == l2 and j == j1 and jj == j2 ): opi = dimension dimension = dimension + 1 j2 = j2 + 1.0 j1 = j1 + 1.0 if debugOutput: print("\tMatrix dimension\t=\t", dimension) # mat_value, mat_row, mat_column for each sparce matrix describing # dipole-dipole, dipole-quadrupole (and quad-dipole) and quadrupole-quadrupole couplingMatConstructor = [[[], [], []] for i in xrange(2 * self.interactionsUpTo - 1)] # original pair-state (i.e. target pair state) Zeeman Shift opZeemanShift = (self.atom1.getZeemanEnergyShift( self.l, self.j, self.m1, self.Bz, s=self.s1) + self.atom2.getZeemanEnergyShift( self.ll, self.jj, self.m2, self.Bz, s=self.s2) ) / C_h * 1.0e-9 # in GHz if debugOutput: print("\n ======= Coupling strengths (radial part only) =======\n") maxCoupling = "quadrupole-quadrupole" if (self.interactionsUpTo == 1): maxCoupling = "dipole-dipole" if debugOutput: print("Calculating coupling (up to ", maxCoupling, ") between the pair states") for i in xrange(dimension): ed = self.__getEnergyDefect( states[opi][0], states[opi][1], states[opi][2], states[opi][3], states[opi][4], states[opi][5], states[i][0], states[i][1], states[i][2], states[i][3], states[i][4], states[i][5]) / C_h * 1.0e-9\ - opZeemanShift pairState1 = ( "|" + printStateString(states[i][0], states[i][1], states[i][2], s=self.s1) + "," + printStateString(states[i][3], states[i][4], states[i][5], s=self.s2) + ">" ) states[i].append(ed) # energy defect of given state for j in xrange(i + 1, dimension): coupled = self.__isCoupled( states[i][0], states[i][1], states[i][2], states[i][3], states[i][4], states[i][5], states[j][0], states[j][1], states[j][2], states[j][3], states[j][4], states[j][5], limit) if (states[i][0] == 24 and states[j][0] == 18): print("\n") print(states[i]) print(states[j]) print(coupled) if coupled and (abs(states[i][0] - states[j][0]) <= k and abs(states[i][3] - states[j][3]) <= k): if debugOutput: pairState2 = ("|" + printStateString(states[j][0], states[j][1], states[j][2], s=self.s1) + "," + printStateString(states[j][3], states[j][4], states[j][5], s=self.s2) + ">") print(pairState1 + " <---> " + pairState2) couplingStregth = _atomLightAtomCoupling( states[i][0], states[i][1], states[i][2], states[i][3], states[i][4], states[i][5], states[j][0], states[j][1], states[j][2], states[j][3], states[j][4], states[j][5], self.atom1, atom2=self.atom2, s=self.s1, s2=self.s2) / C_h * 1.0e-9 couplingMatConstructor[coupled - 2][0].append( couplingStregth) couplingMatConstructor[coupled - 2][1].append(i) couplingMatConstructor[coupled - 2][2].append(j) exponent = coupled + 1 if debugOutput: print(("\tcoupling (C_%d/R^%d) = %.5f" % (exponent, exponent, couplingStregth * (1e6)**(exponent))), "/R^", exponent, " GHz (mu m)^", exponent, "\n" ) # coupling = [1,1] dipole-dipole, [2,1] quadrupole dipole, [2,2] quadrupole quadrupole couplingMatArray = [ csr_matrix( (couplingMatConstructor[i][0], (couplingMatConstructor[i][1], couplingMatConstructor[i][2]) ), shape=(dimension, dimension) ) for i in xrange(len(couplingMatConstructor)) ] return states, couplingMatArray
18,580
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14
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"Constant", "_fields": {"kind": null, "value": 0.1}}]}}]}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "abs", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.1}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "abs", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.1}}]}}]}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ll", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "abs", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.1}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "abs", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.1}}]}}]}}}}]}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}], "name": "__isCoupled", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __isCoupled(self, n, l, j, nn, ll, jj, n1, l1, j1, n2, l2, j2, limit): if ((abs(self.__getEnergyDefect(n, l, j, nn, ll, jj, n1, l1, j1, n2, l2, j2) ) / C_h < limit) and not (n == n1 and nn == n2 and l == l1 and ll == l2 and j == j1 and jj == j2) and not ((abs(l1 - l) != 1 and( (abs(j - 0.5) < 0.1 and abs(j1 - 0.5) < 0.1) # j = 1/2 and j'=1/2 forbidden or (abs(j) < 0.1 and abs(j1 - 1) < 0.1) # j = 0 and j'=1 forbidden or (abs(j-1) < 0.1 and abs(j1) < 0.1) # j = 1 and j'=0 forbidden ) ) or (abs(l2 - ll) != 1 and( (abs(jj - 0.5) < 0.1 and abs(j2 - 0.5) < 0.1) # j = 1/2 and j'=1/2 forbidden or (abs(jj) < 0.1 and abs(j2 - 1) < 0.1) # j = 0 and j'=1 forbidden or (abs(jj-1) < 0.1 and abs(j2) < 0.1) # j = 1 and j'=0 forbidden ) ) ) and not(abs(j)<0.1 and abs(j1)<0.1) # j = 0 and j'=0 forbiden and not (abs(jj)<0.1 and abs(j2)<0.1) and not (abs(l)<0.1 and abs(l1)<0.1) # l = 0 and l' = 0 is forbiden and not (abs(ll)<0.1 and abs(l2)<0.1) ): # determine coupling dl = abs(l - l1) dj = abs(j - j1) c1 = 0 if dl == 1 and (dj < 1.1): c1 = 1 # dipole coupling elif (dl == 0 or dl == 2 or dl == 1)and (dj < 2.1) and \ (2 <= self.interactionsUpTo): c1 = 2 # quadrupole coupling else: return False dl = abs(ll - l2) dj = abs(jj - j2) c2 = 0 if dl == 1 and (dj < 1.1): c2 = 1 # dipole coupling elif (dl == 0 or dl == 2 or dl == 1) and (dj < 2.1) and \ (2 <= self.interactionsUpTo): c2 = 2 # quadrupole coupling else: return False return c1 + c2 else: return False
18,581
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{"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "imag", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "stateVector", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "basisStates", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_addState", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "contribution", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "target": {"_type": "Name", "_fields": {"id": "totalContribution", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 5}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "totalContribution", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.95}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": "+\\ldots"}}, "target": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "totalContribution", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.999}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "$"}}}}}}], "name": "_stateComposition", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _stateComposition(self, stateVector): contribution = np.absolute(stateVector) order = np.argsort(contribution, kind='heapsort') index = -1 totalContribution = 0 value = "$" while (index > -5) and (totalContribution < 0.95): i = order[index] if (index != -1 and (stateVector[i].real > 0 or abs(stateVector[i].imag) > 1e-9)): value += "+" if (abs(self.phi) < 1e-9): value = value + \ ("%.2f" % stateVector[i]) + \ self._addState(*self.basisStates[i]) else: value = value + \ ("(%.2f+i%.2f)" % (stateVector[i].real, stateVector[i].imag)) + \ self._addState(*self.basisStates[i]) totalContribution += contribution[i]**2 index -= 1 if totalContribution < 0.999: value += "+\\ldots" return value + "$"
18,582
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def __initializeDatabaseForMemoization(self): # memoization of angular parts self.conn = sqlite3.connect(os.path.join(self.dataFolder, "precalculated_pair.db")) c = self.conn.cursor() # ANGULAR PARTS c.execute('''DROP TABLE IF EXISTS pair_angularMatrix''') c.execute('''SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='pair_angularMatrix';''') if (c.fetchone()[0] == 0): # create table try: c.execute('''CREATE TABLE IF NOT EXISTS pair_angularMatrix (l1 TINYINT UNSIGNED, j1_x2 TINYINT UNSIGNED, l2 TINYINT UNSIGNED, j2_x2 TINYINT UNSIGNED, l3 TINYINT UNSIGNED, j3_x2 TINYINT UNSIGNED, l4 TINYINT UNSIGNED, j4_x2 TINYINT UNSIGNED, ind INTEGER, PRIMARY KEY (l1,j1_x2, l2,j2_x2, l3,j3_x2, l4,j4_x2) ) ''') except sqlite3.Error as e: print(e) self.conn.commit() self.__loadAngularMatrixElementsFile() self.savedAngularMatrixChanged = False
18,583
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11
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def _addState(self, n1, l1, j1, mj1, n2, l2, j2, mj2): stateString = "" if (abs(self.s1 - 0.5) < 0.1): # Alkali atom stateString += "|%s %d/2" %\ (printStateStringLatex(n1, l1, j1, s=self.s1), int(2 * mj1)) else: # divalent atoms stateString += "|%s %d" %\ (printStateStringLatex(n1, l1, j1, s=self.s1), int(mj1)) if (abs(self.s2 - 0.5) < 0.1): # Alkali atom stateString += ",%s %d/2\\rangle" %\ (printStateStringLatex(n2, l2, j2, s=self.s2), int(2 * mj2)) else: # divalent atom stateString += ",%s %d\\rangle" %\ (printStateStringLatex(n2, l2, j2, s=self.s2), int(mj2)) return stateString
18,584
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{"_type": "Load", "_fields": {}}, "attr": "r", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "j", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "y", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "scaleFactor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bs"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "plot", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ax", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "linewidth", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "zorder", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "clickedPoint", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "State = "}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "j", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "composition", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " Colourbar = %.2f"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "j", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "highlight", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_title", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ax", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "fontsize", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 11}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "draw", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "canvas", "value": {"_type": "Name", "_fields": {"id": "event", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "artist", "value": {"_type": "Name", "_fields": {"id": "event", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PathCollection", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "collections", "value": {"_type": "Name", "_fields": {"id": "matplotlib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "name": "_onPick", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _onPick(self, event): if isinstance(event.artist, matplotlib.collections.PathCollection): x = event.mouseevent.xdata y = event.mouseevent.ydata / self.scaleFactor i = np.searchsorted(self.r, x) if i == len(self.r): i -= 1 if ((i > 0) and (abs(self.r[i - 1] - x) < abs(self.r[i] - x))): i -= 1 j = 0 for jj in xrange(len(self.y[i])): if (abs(self.y[i][jj] - y) < abs(self.y[i][j] - y)): j = jj # now choose the most higlighted state in this area distance = abs(self.y[i][j] - y) * 1.5 for jj in xrange(len(self.y[i])): if (abs(self.y[i][jj] - y) < distance and (abs(self.highlight[i][jj]) > abs(self.highlight[i][j]))): j = jj if (self.clickedPoint != 0): self.clickedPoint.remove() self.clickedPoint, = self.ax.plot([self.r[i]], [self.y[i][j] * self.scaleFactor], "bs", linewidth=0, zorder=3) self.ax.set_title("State = " + self.composition[i][j] + (" Colourbar = %.2f" % self.highlight[i][j]), fontsize=11) event.canvas.draw()
18,585
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 100.0}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "j", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "y", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bs"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "plot", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ax", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "linewidth", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "zorder", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "clickedPoint", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "elementName", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "atom1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "atom1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "elementName", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "atom2", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "atom2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", 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"Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_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": "Name", "_fields": {"id": "atom1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "atom2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "right": {"_type": "Name", "_fields": {"id": "composition1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ","}}}}, "right": {"_type": "Name", "_fields": {"id": "composition2", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "]"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_title", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ax", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "fontsize", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "draw", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "canvas", "value": {"_type": "Name", "_fields": {"id": "event", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "artist", "value": {"_type": "Name", "_fields": {"id": "event", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PathCollection", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "collections", "value": {"_type": "Name", "_fields": {"id": "matplotlib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "name": "_onPick", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _onPick(self, event): if isinstance(event.artist, matplotlib.collections.PathCollection): x = event.mouseevent.xdata * 100. y = event.mouseevent.ydata i = np.searchsorted(self.eFieldList, x) if i == len(self.eFieldList): i -= 1 if ((i > 0) and (abs(self.eFieldList[i - 1] - x) < abs(self.eFieldList[i] - x))): i -= 1 j = 0 for jj in xrange(len(self.y[i])): if (abs(self.y[i][jj] - y) < abs(self.y[i][j] - y)): j = jj if (self.clickedPoint != 0): self.clickedPoint.remove() self.clickedPoint, = self.ax.plot([self.eFieldList[i] / 100.], [self.y[i][j]], "bs", linewidth=0, zorder=3) atom1 = self.atom1.elementName atom2 = self.atom2.elementName composition1 = str(self.composition[i][j][0]) composition2 = str(self.composition[i][j][1]) self.ax.set_title(("[%s,%s]=[" % (atom1, atom2)) + composition1 + "," + composition2 + "]", fontsize=10) event.canvas.draw()
18,586
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13
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def __init__(self, atom1, state1, atom2, state2): self.atom1 = atom1 if (issubclass(type(self.atom1), DivalentAtom) and (len(state1) != 5 or (state1[4] != 0 and state1[4] != 1)) ): raise ValueError("For divalent atoms state specification has to " "include total spin angular momentum s as the last " "number in the state specification [n,l,j,m_j,s].") self.state1 = state1 # add exlicitly total spin of the state for Alkaline atoms if (len(self.state1) == 4): self.state1.append(0.5) self.atom2 = atom2 if (issubclass(type(self.atom2), DivalentAtom) and (len(state1) != 5 or (state1[4] != 0 and state1[4] != 1)) ): raise ValueError("For divalent atoms state specification has to " "include total spin angular momentum s as the last " "numbre in the state specification [n,l,j,m_j,s].") self.state2 = state2 # add exlicitly total spin of the state for Alkaline atoms if (len(self.state2) == 4): self.state2.append(0.5) self.pairStateEnergy = ( atom1.getEnergy(self.state1[0], self.state1[1], self.state1[2], s=self.state1[4]) + atom2.getEnergy(self.state2[0], self.state2[1], self.state2[2], s=self.state2[4]) ) * C_e / C_h * 1e-9
18,587
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "composition", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "composition2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_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": "Name", "_fields": {"id": "atom1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "atom2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "right": {"_type": "Name", "_fields": {"id": "composition1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ","}}}}, "right": {"_type": "Name", "_fields": {"id": "composition2", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "]"}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_title", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ax", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "fontsize", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}}}], "name": "_onPick2", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _onPick2(self, xdata, ydata): x = xdata * 100. y = ydata i = np.searchsorted(self.eFieldList, x) if i == len(self.eFieldList): i -= 1 if ((i > 0) and (abs(self.eFieldList[i - 1] - x) < abs(self.eFieldList[i] - x))): i -= 1 j = 0 for jj in xrange(len(self.y[i])): if (abs(self.y[i][jj] - y) < abs(self.y[i][j] - y)): j = jj if (self.clickedPoint != 0): self.clickedPoint.remove() self.clickedPoint, = self.ax.plot([self.eFieldList[i] / 100.], [self.y[i][j]], "bs", linewidth=0, zorder=3) atom1 = self.atom1.elementName atom2 = self.atom2.elementName composition1 = str(self.composition[i][j][0]) composition2 = str(self.composition[i][j][1]) self.ax.set_title(("[%s,%s]=[" % (atom1, atom2)) + composition1 + "," + composition2 + "]", fontsize=10)
18,588
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def massage_install_data(data): # Transport cli returns a list containing one result item. # Transport nxapi returns a list containing two items. The second item # contains the data we are interested in. default_error_msg = 'No install all data found' if len(data) == 1: result_data = data[0] elif len(data) == 2: result_data = data[1] else: result_data = default_error_msg # Further processing may be needed for result_data if len(data) == 2 and isinstance(data[1], dict): if 'clierror' in data[1].keys(): result_data = data[1]['clierror'] elif 'code' in data[1].keys() and data[1]['code'] == '500': # We encountered a backend processing error for nxapi result_data = data[1]['msg'] else: result_data = default_error_msg return result_data
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9
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"Load", "_fields": {}}}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "impact"}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "install all"}}, "targets": [{"_type": "Name", "_fields": {"id": "rootcmd", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s nxos %s %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "rootcmd", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "image", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "issu_cmd", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "kick", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s %s system %s kickstart %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": 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def build_install_cmd_set(issu, image, kick, type, force=True): commands = ['terminal dont-ask'] # Different NX-OS plaforms behave differently for # disruptive and non-disruptive upgrade paths. # # 1) Combined kickstart/system image: # * Use option 'non-disruptive' for issu. # * Omit option non-disruptive' for distruptive upgrades. # 2) Separate kickstart + system images. # * Omit hidden 'force' option for issu. # * Use hidden 'force' option for disruptive upgrades. # * Note: Not supported on all platforms if re.search(r'required|desired|yes', issu): if kick is None: issu_cmd = 'non-disruptive' else: issu_cmd = '' else: if kick is None: issu_cmd = '' else: issu_cmd = 'force' if force else '' if type == 'impact': rootcmd = 'show install all impact' # The force option is not available for the impact command. if kick: issu_cmd = '' else: rootcmd = 'install all' if kick is None: commands.append( '%s nxos %s %s' % (rootcmd, image, issu_cmd)) else: commands.append( '%s %s system %s kickstart %s' % (rootcmd, issu_cmd, image, kick)) return commands
18,590
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9
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def parse_show_version(data): version_data = {'raw': data[0].split('\n')} version_data['version'] = '' version_data['error'] = False for x in version_data['raw']: mo = re.search(r'(kickstart|system|NXOS):\s+version\s+(\S+)', x) if mo: version_data['version'] = mo.group(2) continue if version_data['version'] == '': version_data['error'] = True return version_data
18,591
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"ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "install_state", "value": {"_type": "Name", "_fields": {"id": "state", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "warnings", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def main(): argument_spec = dict( system_image_file=dict(required=True), kickstart_image_file=dict(required=False), issu=dict(choices=['required', 'desired', 'no', 'yes'], default='no'), ) argument_spec.update(nxos_argument_spec) module = AnsibleModule(argument_spec=argument_spec, supports_check_mode=True) warnings = list() check_args(module, warnings) # Get system_image_file(sif), kickstart_image_file(kif) and # issu settings from module params. sif = module.params['system_image_file'] kif = module.params['kickstart_image_file'] issu = module.params['issu'] if re.search(r'(yes|required)', issu): issu = 'yes' if kif == 'null' or kif == '': kif = None install_result = do_install_all(module, issu, sif, kick=kif) if install_result['error']: cmd = install_result['upgrade_cmd'] msg = 'Failed to upgrade device using command: %s' % cmd module.fail_json(msg=msg, raw_data=install_result['list_data']) state = install_result['processed'] changed = install_result['upgrade_needed'] module.exit_json(changed=changed, install_state=state, warnings=warnings)
18,592
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "commands", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "opts", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Name", "_fields": {"id": "opts", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "load_config", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "parse_show_install", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Name", "_fields": {"id": "sleep", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Continue", "_fields": {}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "install_in_progress"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Break", "_fields": {}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 20}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attempt", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "check_install_in_progress", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def check_install_in_progress(module, commands, opts): for attempt in range(20): data = parse_show_install(load_config(module, commands, True, opts)) if data['install_in_progress']: sleep(1) continue break return data
18,593
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8
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def __init__(self, election, selected_positions=[], selected_proposals=[], questions_adapter_class=Adapter, commitments_adapter_class=CommitmentsAdapter): self.set_questions_adapter(questions_adapter_class(election, selected_positions)) self.set_commitments_adapter(commitments_adapter_class(election, selected_proposals)) self.election = election if not self.questions_adapter.positions: self.questions_importance = 0 self.proposals_importance = 1 else: self.questions_importance = config.DEFAULT_12_N_QUESTIONS_IMPORTANCE self.proposals_importance = config.DEFAULT_12_N_PROPOSALS_IMPORTANCE self.hundred_percent = self.get_hundred(selected_positions, selected_proposals)
18,594
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12
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def get_questions_result(self): candidates_vector = matrix(self.questions_adapter.candidates).transpose().tolist() _result = self._get_questions_vector_result().tolist() concatenated = [] for index in range(len(_result)): concatenated.append({'candidate': candidates_vector[index][0], 'value': _result[index][0]}) concatenated = sorted(concatenated, key=lambda t: -t['value']) result = {'election': self.election, 'candidates': concatenated} return result
18,595
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"type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "disconnect", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "original_started", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "disconnect", "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": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "emit", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "original_started", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "emit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "StartedSignalWrapper", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class StartedSignalWrapper: # Wrapper for the QThread.started signal def __init__(self, thread, original_started): self.thread = thread self.original_started = original_started def connect(self, func, *args, **kwargs): return self.original_started.connect(FuncWrapper(func), *args, **kwargs) def disconnect(self, *args, **kwargs): return self.original_started.disconnect(*args, **kwargs) def emit(self, *args, **kwargs): return self.original_started.emit(*args, **kwargs)
18,596
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def get_result(self): candidates_vector = matrix(self.questions_adapter.candidates).transpose().tolist() _result = self._get_result().tolist() concatenated = [] for index in range(len(_result)): concatenated.append({'candidate': candidates_vector[index][0], 'value': (_result[index][0]/self.hundred_percent) * 100}) concatenated = filter(lambda v: v['value'], concatenated) concatenated = sorted(concatenated, key=lambda t: -t['value']) concatenated = concatenated[:config.N_CANDIDATOS_RESULTADO_12_N] result = {'election': self.election, 'candidates': concatenated} return result
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"_fields": {}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_original_run", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_new_run", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ThreadWrapper", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "QThread", "value": {"_type": "Name", "_fields": {"id": "QtCore", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ThreadWrapper(QtCore.QThread): # Wrapper for QThread def __init__(self, *args, **kwargs): _original_thread_init(self, *args, **kwargs) # In PyQt5 the program hangs when we try to call original run method of QThread class. # So we need to distinguish instances of QThread class and instances of QThread inheritors. if self.__class__.run == _original_QThread.run: self.run = self._exec_run else: self._original_run = self.run self.run = self._new_run self._original_started = self.started self.started = StartedSignalWrapper(self, self.started) def _exec_run(self): set_trace_in_qt() self.exec_() return None def _new_run(self): set_trace_in_qt() return self._original_run()
18,598
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8
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class RunnableWrapper(QtCore.QRunnable): # Wrapper for QRunnable def __init__(self, *args, **kwargs): _original_runnable_init(self, *args, **kwargs) self._original_run = self.run self.run = self._new_run def _new_run(self): set_trace_in_qt() return self._original_run()
18,599
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def __init__(self, *args, **kwargs): _original_thread_init(self, *args, **kwargs) # In PyQt5 the program hangs when we try to call original run method of QThread class. # So we need to distinguish instances of QThread class and instances of QThread inheritors. if self.__class__.run == _original_QThread.run: self.run = self._exec_run else: self._original_run = self.run self.run = self._new_run self._original_started = self.started self.started = StartedSignalWrapper(self, self.started)
18,600
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class TestVariableManager(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_basic_manager(self): fake_loader = DictDataLoader({}) v = VariableManager() vars = v.get_vars(loader=fake_loader, use_cache=False) if 'omit' in vars: del vars['omit'] self.assertEqual(vars, dict()) self.assertEqual( v._merge_dicts( dict(a=1), dict(b=2) ), dict(a=1, b=2) ) self.assertEqual( v._merge_dicts( dict(a=1, c=dict(foo='bar')), dict(b=2, c=dict(baz='bam')) ), dict(a=1, b=2, c=dict(foo='bar', baz='bam')) ) def test_variable_manager_extra_vars(self): fake_loader = DictDataLoader({}) extra_vars = dict(a=1, b=2, c=3) v = VariableManager() v.extra_vars = extra_vars vars = v.get_vars(loader=fake_loader, use_cache=False) for (key, val) in extra_vars.iteritems(): self.assertEqual(vars.get(key), val) self.assertIsNot(v.extra_vars, extra_vars) def test_variable_manager_host_vars_file(self): fake_loader = DictDataLoader({ "host_vars/hostname1.yml": """ foo: bar """ }) v = VariableManager() v.add_host_vars_file("host_vars/hostname1.yml", loader=fake_loader) self.assertIn("hostname1", v._host_vars_files) self.assertEqual(v._host_vars_files["hostname1"], dict(foo="bar")) mock_host = MagicMock() mock_host.get_name.return_value = "hostname1" mock_host.get_vars.return_value = dict() mock_host.get_groups.return_value = () self.assertEqual(v.get_vars(loader=fake_loader, host=mock_host, use_cache=False).get("foo"), "bar") def test_variable_manager_group_vars_file(self): fake_loader = DictDataLoader({ "group_vars/all.yml": """ foo: bar """, "group_vars/somegroup.yml": """ bam: baz """ }) v = VariableManager() v.add_group_vars_file("group_vars/all.yml", loader=fake_loader) v.add_group_vars_file("group_vars/somegroup.yml", loader=fake_loader) self.assertIn("somegroup", v._group_vars_files) self.assertEqual(v._group_vars_files["all"], dict(foo="bar")) self.assertEqual(v._group_vars_files["somegroup"], dict(bam="baz")) mock_group = MagicMock() mock_group.name = "somegroup" mock_group.get_ancestors.return_value = () mock_group.get_vars.return_value = dict() mock_host = MagicMock() mock_host.get_name.return_value = "hostname1" mock_host.get_vars.return_value = dict() mock_host.get_groups.return_value = (mock_group,) vars = v.get_vars(loader=fake_loader, host=mock_host, use_cache=False) self.assertEqual(vars.get("foo"), "bar") self.assertEqual(vars.get("bam"), "baz") def test_variable_manager_play_vars(self): fake_loader = DictDataLoader({}) mock_play = MagicMock() mock_play.get_vars.return_value = dict(foo="bar") mock_play.get_roles.return_value = [] mock_play.get_vars_files.return_value = [] v = VariableManager() self.assertEqual(v.get_vars(loader=fake_loader, play=mock_play, use_cache=False).get("foo"), "bar") def test_variable_manager_play_vars_files(self): fake_loader = DictDataLoader({ "/path/to/somefile.yml": """ foo: bar """ }) mock_play = MagicMock() mock_play.get_vars.return_value = dict() mock_play.get_roles.return_value = [] mock_play.get_vars_files.return_value = ['/path/to/somefile.yml'] v = VariableManager() self.assertEqual(v.get_vars(loader=fake_loader, play=mock_play, use_cache=False).get("foo"), "bar") def test_variable_manager_task_vars(self): fake_loader = DictDataLoader({}) mock_task = MagicMock() mock_task._role = None mock_task.get_vars.return_value = dict(foo="bar") v = VariableManager() self.assertEqual(v.get_vars(loader=fake_loader, task=mock_task, use_cache=False).get("foo"), "bar")