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11
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def testErrorDuringRun(self): wrapper = TestDebugWrapperSession(self._sess, self._dump_root, self._observer) # No matrix size mismatch. self.assertAllClose( np.array([[11.0], [-1.0]]), wrapper.run(self._q, feed_dict={self._ph: np.array([[1.0], [2.0]])})) self.assertEqual(1, self._observer["on_run_end_count"]) self.assertIsNone(self._observer["tf_error"]) # Now there should be a matrix size mismatch error. wrapper.run(self._q, feed_dict={self._ph: np.array([[1.0], [2.0], [3.0]])}) self.assertEqual(2, self._observer["on_run_end_count"]) self.assertTrue( isinstance(self._observer["tf_error"], errors.InvalidArgumentError))
14,502
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8
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def testUsingNonDirectSessionRaisesNotImplementedError(self): # TODO(cais): Remove this test once tfdbg is integrated with GrpcSession. fake_non_direct_session = session.Session() fake_non_direct_session._target = "foo" with self.assertRaisesRegexp( NotImplementedError, r"Non-DirectSession support is not available from TensorFlow Debugger " r"yet \(sess_str=foo\)"): TestDebugWrapperSession( fake_non_direct_session, self._dump_root, self._observer)
14,503
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class IfParser(object): error_class = ValueError def __init__(self, tokens): # pre-pass necessary to turn 'not','in' into single token l = len(tokens) mapped_tokens = [] i = 0 while i < l: token = tokens[i] if token == "not" and i + 1 < l and tokens[i+1] == "in": token = "not in" i += 1 # skip 'in' mapped_tokens.append(self.translate_token(token)) i += 1 self.tokens = mapped_tokens self.pos = 0 self.current_token = self.next() def translate_token(self, token): try: op = OPERATORS[token] except (KeyError, TypeError): return self.create_var(token) else: return op() def next(self): if self.pos >= len(self.tokens): return EndToken else: retval = self.tokens[self.pos] self.pos += 1 return retval def parse(self): retval = self.expression() # Check that we have exhausted all the tokens if self.current_token is not EndToken: raise self.error_class("Unused '%s' at end of if expression." % self.current_token.display()) return retval def expression(self, rbp=0): t = self.current_token self.current_token = self.next() left = t.nud(self) while rbp < self.current_token.lbp: t = self.current_token self.current_token = self.next() left = t.led(left, self) return left def create_var(self, value): return Literal(value)
14,504
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10
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def __init__(self, tokens): # pre-pass necessary to turn 'not','in' into single token l = len(tokens) mapped_tokens = [] i = 0 while i < l: token = tokens[i] if token == "not" and i + 1 < l and tokens[i+1] == "in": token = "not in" i += 1 # skip 'in' mapped_tokens.append(self.translate_token(token)) i += 1 self.tokens = mapped_tokens self.pos = 0 self.current_token = self.next()
14,505
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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": "rbp", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "current_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "next", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "current_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nud", "value": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "left", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "While", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "current_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "next", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "current_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "left", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "led", "value": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "left", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "rbp", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lbp", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "current_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "left", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "expression", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def expression(self, rbp=0): t = self.current_token self.current_token = self.next() left = t.nud(self) while rbp < self.current_token.lbp: t = self.current_token self.current_token = self.next() left = t.led(left, self) return left
14,506
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"Constant", "_fields": {"kind": null, "value": "fake"}}}}]}}, "cause": null}}], "name": "fake_compute_get", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "API", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "api", "value": {"_type": "Name", "_fields": {"id": "compute", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "get"}}, {"_type": "Name", "_fields": {"id": "fake_compute_get", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stubs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "/v2/fake/servers/70f6db34-de8d-4fbd-aafb-4065bdfa6115"}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_int", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 404}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_no_instance_passthrough_404", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ExtendedAvailabilityZoneTest", "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 ExtendedAvailabilityZoneTest(test.TestCase): content_type = 'application/json' prefix = 'OS-EXT-AZ:' def setUp(self): super(ExtendedAvailabilityZoneTest, self).setUp() availability_zones.reset_cache() fakes.stub_out_nw_api(self.stubs) self.stubs.Set(compute.api.API, 'get', fake_compute_get) self.stubs.Set(compute.api.API, 'get_all', fake_compute_get_all) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_host_availability_zone) return_server = fakes.fake_instance_get() self.stubs.Set(db, 'instance_get_by_uuid', return_server) self.flags( osapi_compute_extension=[ 'nova.api.openstack.compute.contrib.select_extensions'], osapi_compute_ext_list=['Extended_availability_zone']) def _make_request(self, url): req = webob.Request.blank(url) req.headers['Accept'] = self.content_type res = req.get_response(fakes.wsgi_app(init_only=('servers',))) return res def _get_server(self, body): return jsonutils.loads(body).get('server') def _get_servers(self, body): return jsonutils.loads(body).get('servers') def assertAvailabilityZone(self, server, az): self.assertEqual(server.get('%savailability_zone' % self.prefix), az) def test_show_no_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_az) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = '/v2/fake/servers/%s' % UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz') def test_show_empty_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_empty) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = '/v2/fake/servers/%s' % UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz') def test_show(self): url = '/v2/fake/servers/%s' % UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'get-host') def test_detail(self): url = '/v2/fake/servers/detail' res = self._make_request(url) self.assertEqual(res.status_int, 200) for i, server in enumerate(self._get_servers(res.body)): self.assertAvailabilityZone(server, 'all-host') def test_no_instance_passthrough_404(self): def fake_compute_get(*args, **kwargs): raise exception.InstanceNotFound(instance_id='fake') self.stubs.Set(compute.api.API, 'get', fake_compute_get) url = '/v2/fake/servers/70f6db34-de8d-4fbd-aafb-4065bdfa6115' res = self._make_request(url) self.assertEqual(res.status_int, 404)
14,507
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8
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def fake_compute_get_all(*args, **kwargs): inst1 = fakes.stub_instance(1, uuid=UUID1, host="all-host", vm_state=vm_states.ACTIVE) inst2 = fakes.stub_instance(2, uuid=UUID2, host="all-host", vm_state=vm_states.ACTIVE) db_list = [inst1, inst2] fields = instance_obj.INSTANCE_DEFAULT_FIELDS return instance_obj._make_instance_list(args[1], instance_obj.InstanceList(), db_list, fields)
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8
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def test_show_no_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_az) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = '/v2/fake/servers/%s' % UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz')
14,509
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8
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def setUp(self): super(ExtendedAvailabilityZoneTest, self).setUp() availability_zones.reset_cache() fakes.stub_out_nw_api(self.stubs) self.stubs.Set(compute.api.API, 'get', fake_compute_get) self.stubs.Set(compute.api.API, 'get_all', fake_compute_get_all) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_host_availability_zone) return_server = fakes.fake_instance_get() self.stubs.Set(db, 'instance_get_by_uuid', return_server) self.flags( osapi_compute_extension=[ 'nova.api.openstack.compute.contrib.select_extensions'], osapi_compute_ext_list=['Extended_availability_zone'])
14,510
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8
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def test_show_empty_host_az(self): self.stubs.Set(compute.api.API, 'get', fake_compute_get_empty) self.stubs.Set(availability_zones, 'get_host_availability_zone', fake_get_no_host_availability_zone) url = '/v2/fake/servers/%s' % UUID3 res = self._make_request(url) self.assertEqual(res.status_int, 200) self.assertAvailabilityZone(self._get_server(res.body), 'fakeaz')
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8
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def test_no_instance_passthrough_404(self): def fake_compute_get(*args, **kwargs): raise exception.InstanceNotFound(instance_id='fake') self.stubs.Set(compute.api.API, 'get', fake_compute_get) url = '/v2/fake/servers/70f6db34-de8d-4fbd-aafb-4065bdfa6115' res = self._make_request(url) self.assertEqual(res.status_int, 404)
14,512
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9
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class SelectorError(Exception): def __init__(self, errcode): super(SelectorError, self).__init__() self.errno = errcode def __repr__(self): return "<SelectorError errno={0}>".format(self.errno) def __str__(self): return self.__repr__()
14,513
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10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/xml"}}, "targets": [{"_type": "Name", "_fields": {"id": "content_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "{%s}"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "namespace", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Extended_availability_zone", "value": {"_type": "Name", "_fields": {"id": "extended_availability_zone", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "body", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "XML", "value": {"_type": "Name", "_fields": {"id": "etree", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_get_server", "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": "body", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getchildren", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "XML", "value": {"_type": "Name", "_fields": {"id": "etree", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_get_servers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ExtendedAvailabilityZoneXmlTest", "bases": [{"_type": "Name", "_fields": {"id": "ExtendedAvailabilityZoneTest", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ExtendedAvailabilityZoneXmlTest(ExtendedAvailabilityZoneTest): content_type = 'application/xml' prefix = '{%s}' % extended_availability_zone.\ Extended_availability_zone.namespace def _get_server(self, body): return etree.XML(body) def _get_servers(self, body): return etree.XML(body).getchildren()
14,514
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def select(self, timeout=None): # Selecting on empty lists on Windows errors out. if not len(self._readers) and not len(self._writers): return [] timeout = None if timeout is None else max(timeout, 0.0) ready = [] r, w, _ = _syscall_wrapper(self._select, True, self._readers, self._writers, timeout) r = set(r) w = set(w) for fd in r | w: events = 0 if fd in r: events |= EVENT_READ if fd in w: events |= EVENT_WRITE key = self._key_from_fd(fd) if key: ready.append((key, events & key.events)) return ready
14,515
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8
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def register(self, fileobj, events, data=None): key = super(PollSelector, self).register(fileobj, events, data) event_mask = 0 if events & EVENT_READ: event_mask |= select.POLLIN if events & EVENT_WRITE: event_mask |= select.POLLOUT self._poll.register(key.fd, event_mask) return key
14,516
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11
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"_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "BitAnd", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "events", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "events", "value": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "ready", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "fd_events", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "event_mask", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ready", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "select", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def select(self, timeout=None): ready = [] fd_events = _syscall_wrapper(self._wrap_poll, True, timeout=timeout) for fd, event_mask in fd_events: events = 0 if event_mask & ~select.POLLIN: events |= EVENT_WRITE if event_mask & ~select.POLLOUT: events |= EVENT_READ key = self._key_from_fd(fd) if key: ready.append((key, events & key.events)) return ready
14,517
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8
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def register(self, fileobj, events, data=None): key = super(EpollSelector, self).register(fileobj, events, data) events_mask = 0 if events & EVENT_READ: events_mask |= select.EPOLLIN if events & EVENT_WRITE: events_mask |= select.EPOLLOUT _syscall_wrapper(self._epoll.register, False, key.fd, events_mask) return key
14,518
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "fileobj", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fileobj", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unregister", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "EpollSelector", "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": []}}, "targets": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unregister", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_epoll", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fd", "value": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_syscall_wrapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "SelectorError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "unregister", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def unregister(self, fileobj): key = super(EpollSelector, self).unregister(fileobj) try: _syscall_wrapper(self._epoll.unregister, False, key.fd) except SelectorError: # This can occur when the fd was closed since registry. pass return key
14,519
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11
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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_key_from_fd", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "BitAnd", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "events", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "events", "value": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "ready", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "fd_events", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "event_mask", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ready", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "select", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def select(self, timeout=None): if timeout is not None: if timeout <= 0: timeout = 0.0 else: # select.epoll.poll() has a resolution of 1 millisecond # but luckily takes seconds so we don't need a wrapper # like PollSelector. Just for better rounding. timeout = math.ceil(timeout * 1e3) * 1e-3 timeout = float(timeout) else: timeout = -1.0 # epoll.poll() must have a float. # We always want at least 1 to ensure that select can be called # with no file descriptors registered. Otherwise will fail. max_events = max(len(self._fd_to_key), 1) ready = [] fd_events = _syscall_wrapper(self._epoll.poll, True, timeout=timeout, maxevents=max_events) for fd, event_mask in fd_events: events = 0 if event_mask & ~select.EPOLLIN: events |= EVENT_WRITE if event_mask & ~select.EPOLLOUT: events |= EVENT_READ key = self._key_from_fd(fd) if key: ready.append((key, events & key.events)) return ready
14,520
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11
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def select(self, timeout=None): ready = [] fd_events = _syscall_wrapper(self._wrap_poll, True, timeout=timeout) for fd, event_mask in fd_events: events = 0 if event_mask & ~select.POLLIN: events |= EVENT_WRITE if event_mask & ~select.POLLOUT: events |= EVENT_READ key = self._key_from_fd(fd) if key: ready.append((key, events & key.events)) return ready
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8
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def register(self, fileobj, events, data=None): key = super(DevpollSelector, self).register(fileobj, events, data) poll_events = 0 if events & EVENT_READ: poll_events |= select.POLLIN if events & EVENT_WRITE: poll_events |= select.POLLOUT self._devpoll.register(key.fd, poll_events) return key
14,522
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"_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "register", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "KqueueSelector", "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": []}}, "targets": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fd", "value": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "KQ_FILTER_READ", "value": {"_type": "Name", "_fields": {"id": "select", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "KQ_EV_ADD", "value": {"_type": "Name", "_fields": {"id": "select", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "kevent", "value": {"_type": "Name", "_fields": {"id": "select", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "kevent", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "control", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_kqueue", "value": {"_type": "Name", "_fields": {"id": "self", 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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "control", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_kqueue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "kevent", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Name", "_fields": {"id": "_syscall_wrapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "BinOp", "_fields": {"op": {"_type": "BitAnd", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "events", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "EVENT_WRITE", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "register", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def register(self, fileobj, events, data=None): key = super(KqueueSelector, self).register(fileobj, events, data) if events & EVENT_READ: kevent = select.kevent(key.fd, select.KQ_FILTER_READ, select.KQ_EV_ADD) _syscall_wrapper(self._kqueue.control, False, [kevent], 0, 0) if events & EVENT_WRITE: kevent = select.kevent(key.fd, select.KQ_FILTER_WRITE, select.KQ_EV_ADD) _syscall_wrapper(self._kqueue.control, False, [kevent], 0, 0) return key
14,523
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10
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def unregister(self, fileobj): key = super(KqueueSelector, self).unregister(fileobj) if key.events & EVENT_READ: kevent = select.kevent(key.fd, select.KQ_FILTER_READ, select.KQ_EV_DELETE) try: _syscall_wrapper(self._kqueue.control, False, [kevent], 0, 0) except SelectorError: pass if key.events & EVENT_WRITE: kevent = select.kevent(key.fd, select.KQ_FILTER_WRITE, select.KQ_EV_DELETE) try: _syscall_wrapper(self._kqueue.control, False, [kevent], 0, 0) except SelectorError: pass return key
14,524
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def select(self, timeout=None): if timeout is not None: timeout = max(timeout, 0) max_events = len(self._fd_to_key) * 2 ready_fds = {} kevent_list = _syscall_wrapper(self._kqueue.control, True, None, max_events, timeout) for kevent in kevent_list: fd = kevent.ident event_mask = kevent.filter events = 0 if event_mask == select.KQ_FILTER_READ: events |= EVENT_READ if event_mask == select.KQ_FILTER_WRITE: events |= EVENT_WRITE key = self._key_from_fd(fd) if key: if key.fd not in ready_fds: ready_fds[key.fd] = (key, events & key.events) else: old_events = ready_fds[key.fd][1] ready_fds[key.fd] = (key, (events | old_events) & key.events) return list(ready_fds.values())
14,525
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9
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def _doc(func): cls_docstring = getattr(cls, func.__name__).__doc__ func_docstring = func.__doc__ if func_docstring is None: func.__doc__ = cls_docstring else: new_docstring = func_docstring % dict(super=cls_docstring) func.__doc__ = new_docstring return func
14,526
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11
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def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__prefix_limit = YANGDynClass( base=prefix_limit.prefix_limit, is_container="container", yang_name="prefix-limit", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load)
14,527
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13
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"attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Driver=Vertica;Server={0};Port={1};Database={2};User={3};Password={4};ConnectionLoadBalance={5}"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dsn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dsn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "connect", "value": {"_type": "Name", "_fields": {"id": "pyodbc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "autocommit", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "db_conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cursor", "value": {"_type": "Name", "_fields": {"id": "db_conn", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cursor", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_native", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Unable to connect to database: {0}."}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "exception", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_exc", "value": {"_type": "Name", "_fields": {"id": "traceback", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cursor", 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{"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "check_mode", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "configuration_facts", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cursor", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "parameter_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "current_value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "present", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_native", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "exception", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_exc", "value": {"_type": "Name", "_fields": {"id": "traceback", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}}}], "name": "e", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Error", "value": {"_type": "Name", "_fields": {"id": "pyodbc", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}]}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_native", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "ansible_facts", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "vertica_configuration"}}], "values": [{"_type": "Name", "_fields": {"id": "configuration_facts", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "NotSupportedError", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_native", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "ansible_facts", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "vertica_configuration"}}], "values": [{"_type": "Name", "_fields": {"id": "configuration_facts", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "CannotDropError", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": null, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "SystemExit", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "to_native", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "exception", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_exc", "value": {"_type": "Name", "_fields": {"id": "traceback", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_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": "Name", "_fields": {"id": "changed", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "parameter", "value": {"_type": "Name", "_fields": {"id": "parameter_name", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "ansible_facts", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "vertica_configuration"}}], "values": [{"_type": "Name", "_fields": {"id": "configuration_facts", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def main(): module = AnsibleModule( argument_spec=dict( parameter=dict(required=True, aliases=['name']), value=dict(default=None), db=dict(default=None), cluster=dict(default='localhost'), port=dict(default='5433'), login_user=dict(default='dbadmin'), login_password=dict(default=None, no_log=True), ), supports_check_mode=True) if not pyodbc_found: module.fail_json(msg=missing_required_lib('pyodbc'), exception=PYODBC_IMP_ERR) parameter_name = module.params['parameter'] current_value = module.params['value'] db = '' if module.params['db']: db = module.params['db'] changed = False try: dsn = ( "Driver=Vertica;" "Server={0};" "Port={1};" "Database={2};" "User={3};" "Password={4};" "ConnectionLoadBalance={5}" ).format(module.params['cluster'], module.params['port'], db, module.params['login_user'], module.params['login_password'], 'true') db_conn = pyodbc.connect(dsn, autocommit=True) cursor = db_conn.cursor() except Exception as e: module.fail_json(msg="Unable to connect to database: {0}.".format(to_native(e)), exception=traceback.format_exc()) try: configuration_facts = get_configuration_facts(cursor) if module.check_mode: changed = not check(configuration_facts, parameter_name, current_value) else: try: changed = present(configuration_facts, cursor, parameter_name, current_value) except pyodbc.Error as e: module.fail_json(msg=to_native(e), exception=traceback.format_exc()) except NotSupportedError as e: module.fail_json(msg=to_native(e), ansible_facts={'vertica_configuration': configuration_facts}) except CannotDropError as e: module.fail_json(msg=to_native(e), ansible_facts={'vertica_configuration': configuration_facts}) except SystemExit: # avoid catching this on python 2.4 raise except Exception as e: module.fail_json(msg=to_native(e), exception=traceback.format_exc()) module.exit_json(changed=changed, parameter=parameter_name, ansible_facts={'vertica_configuration': configuration_facts})
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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": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_path", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "right": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_yang_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "_parent"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "network-instances"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "network-instance"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "protocols"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "protocol"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgp"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "peer-groups"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "peer-group"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "afi-safis"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "afi-safi"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "l3vpn-ipv4-multicast"}}]}}}}]}}], "name": "_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "bgp", "peer-groups", "peer-group", "afi-safis", "afi-safi", "l3vpn-ipv4-multicast", ]
14,529
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11
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"_pyangbind_elements", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__prefix_limit = YANGDynClass( base=prefix_limit.prefix_limit, is_container="container", yang_name="prefix-limit", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load)
14,530
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null, "value": "Archive of OSF Storage"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append_folder", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_root", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "osfstorage"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_addon", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "folder", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "folder", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "So, on average, it has been super comfortable this week"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "folder", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fixture", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "autouse", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "API_BASE", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "provider", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "/{}registrations/{}/files/{}/"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "app", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "auth", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "auth", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "href"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "related"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "links"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "files"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "relationships"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "json", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}}}}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "split_href", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "split_href", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "split_href", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_registration_relationships_contains_guid_not_id", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestRegistrationFilesList", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestRegistrationFilesList(object): @pytest.fixture(autouse=True) def setUp(self): self.app = JSONAPITestApp() self.user = AuthUserFactory() self.node = ProjectFactory(creator=self.user) self.registration = RegistrationFactory( project=self.node, creator=self.user) # Note: folders/files added to node do not seem to get picked up by the # Registration factory so they are added after self.folder = self.registration.get_addon( 'osfstorage').get_root().append_folder('Archive of OSF Storage') self.folder.save() self.file = self.folder.append_file( 'So, on average, it has been super comfortable this week') self.file.save() def test_registration_relationships_contains_guid_not_id(self): url = '/{}registrations/{}/files/{}/'.format( API_BASE, self.registration._id, self.file.provider) res = self.app.get(url, auth=self.user.auth) split_href = res.json['data'][0]['relationships']['files']['links']['related']['href'].split( '/') assert self.registration._id in split_href assert self.registration.id not in split_href
14,531
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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": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_path", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "right": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_yang_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "_parent"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "network-instances"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "network-instance"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "protocols"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "protocol"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgp"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "peer-groups"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "peer-group"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "afi-safis"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "afi-safi"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "l3vpn-ipv4-multicast"}}]}}}}]}}], "name": "_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "bgp", "peer-groups", "peer-group", "afi-safis", "afi-safi", "l3vpn-ipv4-multicast", ]
14,532
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15
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "API_BASE", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "provider", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "/{}registrations/{}/files/{}/"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "app", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "auth", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "auth", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "href"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "related"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "links"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "files"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "relationships"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "json", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}}}}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "split_href", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "split_href", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "split_href", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "test_registration_relationships_contains_guid_not_id", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_registration_relationships_contains_guid_not_id(self): url = '/{}registrations/{}/files/{}/'.format( API_BASE, self.registration._id, self.file.provider) res = self.app.get(url, auth=self.user.auth) split_href = res.json['data'][0]['relationships']['files']['links']['related']['href'].split( '/') assert self.registration._id in split_href assert self.registration.id not in split_href
14,533
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12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "JSONAPITestApp", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "app", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "AuthUserFactory", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "ProjectFactory", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "creator", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "node", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "RegistrationFactory", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "project", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "node", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "creator", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Archive of OSF Storage"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append_folder", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_root", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "osfstorage"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_addon", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "folder", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "folder", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "So, on average, it has been super comfortable this week"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "folder", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def setUp(self): self.app = JSONAPITestApp() self.user = AuthUserFactory() self.node = ProjectFactory(creator=self.user) self.registration = RegistrationFactory( project=self.node, creator=self.user) # Note: folders/files added to node do not seem to get picked up by the # Registration factory so they are added after self.folder = self.registration.get_addon( 'osfstorage').get_root().append_folder('Archive of OSF Storage') self.folder.save() self.file = self.folder.append_file( 'So, on average, it has been super comfortable this week') self.file.save()
14,534
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9
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"Name", "_fields": {"id": "node_addon", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "s3_authorize_node", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def s3_authorize_node(auth, node_addon, **kwargs): try: access_key = request.json['access_key'] secret_key = request.json['secret_key'] except KeyError: raise HTTPError(httplib.BAD_REQUEST) if not (access_key and secret_key): return { 'message': 'All the fields above are required.' }, httplib.BAD_REQUEST if not utils.can_list(access_key, secret_key): return { 'message': ('Unable to list buckets.\n' 'Listing buckets is required permission that can be changed via IAM') }, httplib.BAD_REQUEST user_addon = auth.user.get_or_add_addon('s3') user_addon.access_key = access_key user_addon.secret_key = secret_key user_addon.save() node_addon.authorize(user_addon, save=True) return node_addon.to_json(auth.user)
14,535
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9
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{"id": "access_key", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "access_key", "value": {"_type": "Name", "_fields": {"id": "user_addon", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "secret_key", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "secret_key", "value": {"_type": "Name", "_fields": {"id": "user_addon", "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_addon", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": 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def s3_post_user_settings(auth, **kwargs): user_addon = auth.user.get_or_add_addon('s3') try: access_key = request.json['access_key'] secret_key = request.json['secret_key'] except KeyError: raise HTTPError(httplib.BAD_REQUEST) if not (access_key and secret_key): return { 'message': ('All the fields above are required.') }, httplib.BAD_REQUEST if not utils.can_list(access_key, secret_key): return { 'message': ('Unable to list buckets.\n' 'Listing buckets is required permission that can be changed via IAM') }, httplib.BAD_REQUEST user_addon.access_key = access_key user_addon.secret_key = secret_key user_addon.save()
14,536
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10
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def s3_post_node_settings(node, auth, user_addon, node_addon, **kwargs): # Fail if user settings not authorized if not user_addon.has_auth: raise HTTPError(httplib.BAD_REQUEST) # If authorized, only owner can change settings if node_addon.has_auth and node_addon.user_settings.owner != auth.user: raise HTTPError(httplib.BAD_REQUEST) # Claiming the node settings if not node_addon.user_settings: node_addon.user_settings = user_addon bucket = request.json.get('s3_bucket', '') if not utils.bucket_exists(user_addon.access_key, user_addon.secret_key, bucket): error_message = ('We are having trouble connecting to that bucket. ' 'Try a different one.') return {'message': error_message}, httplib.BAD_REQUEST if bucket != node_addon.bucket: # Update node settings node_addon.bucket = bucket node_addon.save() node.add_log( action='s3_bucket_linked', params={ 'node': node._id, 'project': node.parent_id, 'bucket': node_addon.bucket, }, auth=auth, ) return node_addon.to_json(auth.user)
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "subs_file", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "location", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "content_type", "value": {"_type": "Name", "_fields": {"id": "subs_file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "mime_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "course_key", "value": {"_type": "Name", "_fields": {"id": "location", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute_location", "value": {"_type": "Name", "_fields": {"id": "StaticContent", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "content_location", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "content_location", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "mime_type", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read", "value": {"_type": "Name", "_fields": {"id": "subs_file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "StaticContent", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "contentstore", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "del_cached_content", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_upload_file", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _upload_file(subs_file, location, filename): mime_type = subs_file.content_type content_location = StaticContent.compute_location( location.course_key, filename ) content = StaticContent(content_location, filename, mime_type, subs_file.read()) contentstore().save(content) del_cached_content(content.location)
14,538
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10
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def test_handle_ajax_wrong_dispatch(self): responses = { user.username: self.clients[user.username].post( self.get_url('whatever'), {}, HTTP_X_REQUESTED_WITH='XMLHttpRequest') for user in self.users } status_codes = {response.status_code for response in responses.values()} self.assertEqual(status_codes.pop(), 404)
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"_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bumper_last_view_date", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "save_user_state"}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "bumper_last_view_date"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handle_ajax", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "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": "bumper_last_view_date", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "utcnow", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "now", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "freeze_time", "value": {"_type": "Name", "_fields": {"id": "freezegun", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "save_user_state"}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": "u", "value": "demoo�"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "sample"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handle_ajax", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "success"}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_handle_ajax", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_handle_ajax(self): data = [ {u'speed': 2.0}, {u'saved_video_position': "00:00:10"}, {u'transcript_language': 'uk'}, {u'bumper_do_not_show_again': True}, {u'bumper_last_view_date': True}, {u'demoo�': 'sample'} ] for sample in data: response = self.clients[self.users[0].username].post( self.get_url('save_user_state'), sample, HTTP_X_REQUESTED_WITH='XMLHttpRequest') self.assertEqual(response.status_code, 200) self.assertEqual(self.item_descriptor.speed, None) self.item_descriptor.handle_ajax('save_user_state', {'speed': json.dumps(2.0)}) self.assertEqual(self.item_descriptor.speed, 2.0) self.assertEqual(self.item_descriptor.global_speed, 2.0) self.assertEqual(self.item_descriptor.saved_video_position, timedelta(0)) self.item_descriptor.handle_ajax('save_user_state', {'saved_video_position': "00:00:10"}) self.assertEqual(self.item_descriptor.saved_video_position, timedelta(0, 10)) self.assertEqual(self.item_descriptor.transcript_language, 'en') self.item_descriptor.handle_ajax('save_user_state', {'transcript_language': "uk"}) self.assertEqual(self.item_descriptor.transcript_language, 'uk') self.assertEqual(self.item_descriptor.bumper_do_not_show_again, False) self.item_descriptor.handle_ajax('save_user_state', {'bumper_do_not_show_again': True}) self.assertEqual(self.item_descriptor.bumper_do_not_show_again, True) with freezegun.freeze_time(datetime.now()): self.assertEqual(self.item_descriptor.bumper_last_view_date, None) self.item_descriptor.handle_ajax('save_user_state', {'bumper_last_view_date': True}) self.assertEqual(self.item_descriptor.bumper_last_view_date, datetime.utcnow()) response = self.item_descriptor.handle_ajax('save_user_state', {u'demoo�': "sample"}) self.assertEqual(json.loads(response)['success'], True)
14,540
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "_create_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_upload_sjson_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_get_subs_id", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "sub", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/available_translations"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank", "value": {"_type": "Name", "_fields": {"id": "Request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transcript", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "dispatch", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "available_translations"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "en"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_available_translation_en", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_available_translation_en(self): good_sjson = _create_file(json.dumps(self.subs)) _upload_sjson_file(good_sjson, self.item_descriptor.location) self.item.sub = _get_subs_id(good_sjson.name) request = Request.blank('/available_translations') response = self.item.transcript(request=request, dispatch='available_translations') self.assertEqual(json.loads(response.body), ['en'])
14,541
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10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "_create_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_upload_sjson_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "_upload_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_get_subs_id", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "sub", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/available_translations"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank", "value": {"_type": "Name", "_fields": {"id": "Request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transcript", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "dispatch", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "available_translations"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "en"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "uk"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_multiple_available_translations", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_multiple_available_translations(self): good_sjson = _create_file(json.dumps(self.subs)) # Upload english transcript. _upload_sjson_file(good_sjson, self.item_descriptor.location) # Upload non-english transcript. _upload_file(self.srt_file, self.item_descriptor.location, os.path.split(self.srt_file.name)[1]) self.item.sub = _get_subs_id(good_sjson.name) request = Request.blank('/available_translations') response = self.item.transcript(request=request, dispatch='available_translations') self.assertEqual(json.loads(response.body), ['en', 'uk'])
14,542
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9
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def test_multiple_available_translations(self): en_translation = _create_srt_file() en_translation_filename = os.path.split(en_translation.name)[1] uk_translation_filename = os.path.split(self.srt_file.name)[1] # Upload english transcript. _upload_file(en_translation, self.item_descriptor.location, en_translation_filename) # Upload non-english transcript. _upload_file(self.srt_file, self.item_descriptor.location, uk_translation_filename) self.item.video_bumper["transcripts"]["en"] = en_translation_filename self.item.video_bumper["transcripts"]["uk"] = uk_translation_filename request = Request.blank('/' + self.dispatch) response = self.item.transcript(request=request, dispatch=self.dispatch) self.assertEqual(json.loads(response.body), ['en', 'uk'])
14,543
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9
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def test_available_translation_en_and_non_en(self, lang): filename = os.path.split(self.srt_file.name)[1] _upload_file(self.srt_file, self.item_descriptor.location, filename) self.item.video_bumper["transcripts"][lang] = filename request = Request.blank('/' + self.dispatch) response = self.item.transcript(request=request, dispatch=self.dispatch) self.assertEqual(json.loads(response.body), [lang])
14,544
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8
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def test_translaton_en_youtube_success(self, url, dispatch, attach): subs = {"start": [10], "end": [100], "text": ["Hi, welcome to Edx."]} good_sjson = _create_file(json.dumps(subs)) _upload_sjson_file(good_sjson, self.item_descriptor.location) subs_id = _get_subs_id(good_sjson.name) attach(self.item, subs_id) request = Request.blank(url.format(subs_id)) response = self.item.transcript(request=request, dispatch=dispatch) self.assertDictEqual(json.loads(response.body), subs)
14,545
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[]}}, {"_type": "Name", "_fields": {"id": "calculated_1_5", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertDictEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_translation_non_en_youtube_success", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_translation_non_en_youtube_success(self): subs = { u'end': [100], u'start': [12], u'text': [ u'\u041f\u0440\u0438\u0432\u0456\u0442, edX \u0432\u0456\u0442\u0430\u0454 \u0432\u0430\u0441.' ] } self.srt_file.seek(0) _upload_file(self.srt_file, self.item_descriptor.location, os.path.split(self.srt_file.name)[1]) subs_id = _get_subs_id(self.srt_file.name) # youtube 1_0 request, will generate for all speeds for existing ids self.item.youtube_id_1_0 = subs_id self.item.youtube_id_0_75 = '0_75' request = Request.blank('/translation/uk?videoId={}'.format(subs_id)) response = self.item.transcript(request=request, dispatch='translation/uk') self.assertDictEqual(json.loads(response.body), subs) # 0_75 subs are exist request = Request.blank('/translation/uk?videoId={}'.format('0_75')) response = self.item.transcript(request=request, dispatch='translation/uk') calculated_0_75 = { u'end': [75], u'start': [9], u'text': [ u'\u041f\u0440\u0438\u0432\u0456\u0442, edX \u0432\u0456\u0442\u0430\u0454 \u0432\u0430\u0441.' ] } self.assertDictEqual(json.loads(response.body), calculated_0_75) # 1_5 will be generated from 1_0 self.item.youtube_id_1_5 = '1_5' request = Request.blank('/translation/uk?videoId={}'.format('1_5')) response = self.item.transcript(request=request, dispatch='translation/uk') calculated_1_5 = { u'end': [150], u'start': [18], u'text': [ u'\u041f\u0440\u0438\u0432\u0456\u0442, edX \u0432\u0456\u0442\u0430\u0454 \u0432\u0430\u0441.' ] } self.assertDictEqual(json.loads(response.body), calculated_1_5)
14,546
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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": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": "u", "value": "end"}}, {"_type": "Constant", "_fields": {"kind": "u", "value": "start"}}, {"_type": "Constant", "_fields": {"kind": "u", "value": "text"}}], "values": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 100}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 12}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": "u", "value": "Привіт, edX вітає вас."}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "subs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seek", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "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": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "_upload_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "youtube_id_1_0", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/translation/uk"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank", "value": {"_type": "Name", "_fields": {"id": "Request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transcript", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "dispatch", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "translation/uk"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "subs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertDictEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_translaton_non_en_html5_success", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_translaton_non_en_html5_success(self): subs = { u'end': [100], u'start': [12], u'text': [ u'\u041f\u0440\u0438\u0432\u0456\u0442, edX \u0432\u0456\u0442\u0430\u0454 \u0432\u0430\u0441.' ] } self.srt_file.seek(0) _upload_file(self.srt_file, self.item_descriptor.location, os.path.split(self.srt_file.name)[1]) # manually clean youtube_id_1_0, as it has default value self.item.youtube_id_1_0 = "" request = Request.blank('/translation/uk') response = self.item.transcript(request=request, dispatch='translation/uk') self.assertDictEqual(json.loads(response.body), subs)
14,547
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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": "url", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "dispatch", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "attach", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TRANSCRIPT", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "_create_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_upload_sjson_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "good_sjson", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_get_subs_id", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "subs_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "subs_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "attach", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank", "value": {"_type": "Name", "_fields": {"id": "Request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transcript", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "dispatch", "value": {"_type": "Name", "_fields": {"id": "dispatch", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "TRANSCRIPT", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertDictEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_translaton_en_html5_success", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_translaton_en_html5_success(self, url, dispatch, attach): good_sjson = _create_file(json.dumps(TRANSCRIPT)) _upload_sjson_file(good_sjson, self.item_descriptor.location) subs_id = _get_subs_id(good_sjson.name) attach(self.item, subs_id) request = Request.blank(url) response = self.item.transcript(request=request, dispatch=dispatch) self.assertDictEqual(json.loads(response.body), TRANSCRIPT)
14,548
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9
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{"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": "u", "value": "塞.srt"}}], "func": {"_type": "Name", "_fields": {"id": "_upload_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seek", "value": {"_type": "Attribute", "_fields": {"ctx": 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"type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Content-Type"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "application/x-subrip; charset=utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Content-Disposition"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "attachment; filename=\"塞.srt\""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Content-Language"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "zh"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_translation_fails", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_translation_fails(self): # No language request = Request.blank('') response = self.item_descriptor.studio_transcript(request=request, dispatch='translation') self.assertEqual(response.status, '400 Bad Request') # No filename in request.GET request = Request.blank('') response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') self.assertEqual(response.status, '400 Bad Request') # Correct case: filename = os.path.split(self.srt_file.name)[1] _upload_file(self.srt_file, self.item_descriptor.location, filename) self.srt_file.seek(0) request = Request.blank(u'translation/uk?filename={}'.format(filename)) response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') self.assertEqual(response.body, self.srt_file.read()) self.assertEqual(response.headers['Content-Type'], 'application/x-subrip; charset=utf-8') self.assertEqual( response.headers['Content-Disposition'], 'attachment; filename="{}"'.format(filename) ) self.assertEqual(response.headers['Content-Language'], 'uk') # Non ascii file name download: self.srt_file.seek(0) _upload_file(self.srt_file, self.item_descriptor.location, u'塞.srt') self.srt_file.seek(0) request = Request.blank('translation/zh?filename={}'.format(u'塞.srt'.encode('utf8'))) response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/zh') self.assertEqual(response.body, self.srt_file.read()) self.assertEqual(response.headers['Content-Type'], 'application/x-subrip; charset=utf-8') self.assertEqual(response.headers['Content-Disposition'], 'attachment; filename="塞.srt"') self.assertEqual(response.headers['Content-Language'], 'zh')
14,549
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"_fields": {"kind": null, "value": "filename.srt"}}, {"_type": "Name", "_fields": {"id": "SRT_content", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "studio_transcript", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "dispatch", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "translation/uk"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "201 Created"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "filename"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "status"}}], "values": [{"_type": "Constant", "_fields": {"kind": "u", "value": "filename.srt"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Success"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertDictEqual", "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": "transcripts", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertDictEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": "u", "value": "filename.srt"}}], "func": {"_type": "Name", "_fields": {"id": "_check_asset", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_studio_transcript_post", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_studio_transcript_post(self): # Check for exceptons: # Language is passed, bad content or filename: # should be first, as other tests save transcrips to store. request = Request.blank('/translation/uk', POST={'file': ('filename.srt', SRT_content)}) with patch('xmodule.video_module.video_handlers.save_to_store'): with self.assertRaises(TranscriptException): # transcripts were not saved to store for some reason. response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') request = Request.blank('/translation/uk', POST={'file': ('filename', 'content')}) with self.assertRaises(TranscriptsGenerationException): # Not an srt filename self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') request = Request.blank('/translation/uk', POST={'file': ('filename.srt', 'content')}) with self.assertRaises(TranscriptsGenerationException): # Content format is not srt. response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') request = Request.blank('/translation/uk', POST={'file': ('filename.srt', SRT_content.decode('utf8').encode('cp1251'))}) # Non-UTF8 file content encoding. response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') self.assertEqual(response.status_code, 400) self.assertEqual(response.body, "Invalid encoding type, transcripts should be UTF-8 encoded.") # No language is passed. request = Request.blank('/translation', POST={'file': ('filename', SRT_content)}) response = self.item_descriptor.studio_transcript(request=request, dispatch='translation') self.assertEqual(response.status, '400 Bad Request') # Language, good filename and good content. request = Request.blank('/translation/uk', POST={'file': ('filename.srt', SRT_content)}) response = self.item_descriptor.studio_transcript(request=request, dispatch='translation/uk') self.assertEqual(response.status, '201 Created') self.assertDictEqual(json.loads(response.body), {'filename': u'filename.srt', 'status': 'Success'}) self.assertDictEqual(self.item_descriptor.transcripts, {}) self.assertTrue(_check_asset(self.item_descriptor.location, u'filename.srt'))
14,550
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9
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"ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mime_type", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "text/plain; charset=utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_good_txt_transcript", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_good_txt_transcript(self): good_sjson = _create_file(content=textwrap.dedent("""\ { "start": [ 270, 2720 ], "end": [ 2720, 5430 ], "text": [ "Hi, welcome to Edx.", "Let&#39;s start with what is on your screen right now." ] } """)) _upload_sjson_file(good_sjson, self.item.location) self.item.sub = _get_subs_id(good_sjson.name) transcripts = self.item.get_transcripts_info() text, filename, mime_type = self.item.get_transcript(transcripts, transcript_format="txt") expected_text = textwrap.dedent("""\ Hi, welcome to Edx. Let's start with what is on your screen right now.""") self.assertEqual(text, expected_text) self.assertEqual(filename, self.item.sub + '.txt') self.assertEqual(mime_type, 'text/plain; charset=utf-8')
14,551
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9
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def test_en_with_empty_sub(self): transcripts = {"transcripts": {}, "sub": ""} # no self.sub, self.youttube_1_0 exist, but no file in assets with self.assertRaises(NotFoundError): self.item.get_transcript(transcripts) # no self.sub and no self.youtube_1_0, no non-en transcritps self.item.youtube_id_1_0 = None with self.assertRaises(ValueError): self.item.get_transcript(transcripts) # no self.sub but youtube_1_0 exists with file in assets good_sjson = _create_file(content=textwrap.dedent("""\ { "start": [ 270, 2720 ], "end": [ 2720, 5430 ], "text": [ "Hi, welcome to Edx.", "Let&#39;s start with what is on your screen right now." ] } """)) _upload_sjson_file(good_sjson, self.item.location) self.item.youtube_id_1_0 = _get_subs_id(good_sjson.name) text, filename, mime_type = self.item.get_transcript(transcripts) expected_text = textwrap.dedent("""\ 0 00:00:00,270 --> 00:00:02,720 Hi, welcome to Edx. 1 00:00:02,720 --> 00:00:05,430 Let&#39;s start with what is on your screen right now. """) self.assertEqual(text, expected_text) self.assertEqual(filename, self.item.youtube_id_1_0 + '.srt') self.assertEqual(mime_type, 'application/x-subrip; charset=utf-8')
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9
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def test_value_error(self): good_sjson = _create_file(content='bad content') _upload_sjson_file(good_sjson, self.item.location) self.item.sub = _get_subs_id(good_sjson.name) transcripts = self.item.get_transcripts_info() with self.assertRaises(ValueError): self.item.get_transcript(transcripts)
14,553
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"_fields": {}}, "attr": "seek", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "srt_file", "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": "srt_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item_descriptor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": "u", "value": "塞.srt"}}], "func": {"_type": "Name", "_fields": {"id": "_upload_file", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_transcripts_info", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "transcripts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "transcripts", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_transcript", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "item", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "mime_type", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n 0\n 00:00:00,12 --> 00:00:00,100\n Привіт, edX вітає вас.\n "}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dedent", "value": {"_type": "Name", "_fields": {"id": "textwrap", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_text", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected_text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": "u", "value": "塞.srt"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mime_type", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "application/x-subrip; charset=utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_non_en_with_non_ascii_filename", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_non_en_with_non_ascii_filename(self): self.item.transcript_language = 'zh' self.srt_file.seek(0) _upload_file(self.srt_file, self.item_descriptor.location, u"塞.srt") transcripts = self.item.get_transcripts_info() text, filename, mime_type = self.item.get_transcript(transcripts) expected_text = textwrap.dedent(""" 0 00:00:00,12 --> 00:00:00,100 Привіт, edX вітає вас. """) self.assertEqual(text, expected_text) self.assertEqual(filename, u"塞.srt") self.assertEqual(mime_type, 'application/x-subrip; charset=utf-8')
14,554
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9
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def test_key_error(self): good_sjson = _create_file(content=""" { "start": [ 270, 2720 ], "end": [ 2720, 5430 ] } """) _upload_sjson_file(good_sjson, self.item.location) self.item.sub = _get_subs_id(good_sjson.name) transcripts = self.item.get_transcripts_info() with self.assertRaises(KeyError): self.item.get_transcript(transcripts)
14,555
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11
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def main(argv): password = None home = str(Path.home()) password_file = os.path.join(home, '.amli') if os.path.exists(password_file): with open (password_file) as f: password = f.read().replace('\n', '') else: password = getpass.getpass("Password: ") for root, _, files in os.walk('content'): for name in files: if name.endswith('-key.zip'): zname = os.path.join(root, name) pyminizip.uncompress(zname, password, None, 0)
14,556
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10
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def __init__(self, client, group, topic, partitions=None, auto_commit=True, auto_commit_every_n=AUTO_COMMIT_MSG_COUNT, auto_commit_every_t=AUTO_COMMIT_INTERVAL): self.client = client self.topic = kafka_bytestring(topic) self.group = None if group is None else kafka_bytestring(group) self.client.load_metadata_for_topics(topic) self.offsets = {} if partitions is None: partitions = self.client.get_partition_ids_for_topic(topic) else: assert all(isinstance(x, numbers.Integral) for x in partitions) # Variables for handling offset commits self.commit_lock = Lock() self.commit_timer = None self.count_since_commit = 0 self.auto_commit = auto_commit self.auto_commit_every_n = auto_commit_every_n self.auto_commit_every_t = auto_commit_every_t # Set up the auto-commit timer if auto_commit is True and auto_commit_every_t is not None: self.commit_timer = ReentrantTimer(auto_commit_every_t, self.commit) self.commit_timer.start() # Set initial offsets if self.group is not None: self.fetch_last_known_offsets(partitions) else: for partition in partitions: self.offsets[partition] = 0 # Register a cleanup handler def cleanup(obj): obj.stop() self._cleanup_func = cleanup atexit.register(cleanup, self)
14,557
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9
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def __init__(self, order=None): self._str = str if not hasattr(self, "printmethod"): self.printmethod = None if not hasattr(self, "emptyPrinter"): self.emptyPrinter = str # _print_level is the number of times self._print() was recursively # called. See StrPrinter._print_Real() for an example of usage self._print_level = 0 # configure ordering of terms in Add (e.g. lexicographic ordering) if order is not None: if order.startswith('rev-'): self.order = monomial_cmp(order[4:]) self.reverse = True else: self.order = monomial_cmp(order) self.reverse = False else: self.order = None self.reverse = False
14,558
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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}}], "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": "stop", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit_timer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit_timer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cleanup_func", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unregister", "value": {"_type": "Name", "_fields": {"id": "atexit", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "atexit", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "unregister"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cleanup_func", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Dict", "_fields": {"keys": [], "values": []}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "remove", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_exithandlers", "value": {"_type": "Name", "_fields": {"id": "atexit", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}]}}, {"_type": "Delete", "_fields": {"targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Del", "_fields": {}}, "attr": "_cleanup_func", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "_cleanup_func"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "name": "stop", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def stop(self): if self.commit_timer is not None: self.commit_timer.stop() self.commit() if hasattr(self, '_cleanup_func'): # Remove cleanup handler now that we've stopped # py3 supports unregistering if hasattr(atexit, 'unregister'): atexit.unregister(self._cleanup_func) # pylint: disable=no-member # py2 requires removing from private attribute... else: # ValueError on list.remove() if the exithandler no longer # exists is fine here try: atexit._exithandlers.remove((self._cleanup_func, (self,), {})) except ValueError: pass del self._cleanup_func
14,559
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9
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def fetch_last_known_offsets(self, partitions=None): if self.group is None: raise ValueError('KafkaClient.group must not be None') if partitions is None: partitions = self.client.get_partition_ids_for_topic(self.topic) responses = self.client.send_offset_fetch_request( self.group, [OffsetFetchRequest(self.topic, p) for p in partitions], fail_on_error=False ) for resp in responses: try: check_error(resp) # API spec says server wont set an error here # but 0.8.1.1 does actually... except UnknownTopicOrPartitionError: pass # -1 offset signals no commit is currently stored if resp.offset == -1: self.offsets[resp.partition] = 0 # Otherwise we committed the stored offset # and need to fetch the next one else: self.offsets[resp.partition] = resp.offset
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10
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def write(self, vals): odoovals = sync_clean_up(vals) if 'manager_id' in odoovals: if odoovals['manager_id'] == 0: del odoovals['manager_id'] ret = super(weladee_department, self).write( odoovals ) # if don't need to sync when there is weladee-id in vals # case we don't need to send to weladee, like just update weladee-id in odoo # created, updated from odoo, always send # when create didn't success sync to weladeec # next update, try create again if vals.get('send2-weladee',True): for each in self: if each.weladee_id: self._update_in_weladee(each, vals) else: self._update_in_weladee(each, vals) return ret
14,561
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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": "vals", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "sync_clean_up", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "odoovals", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "odoovals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "weladee_department", "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": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "vals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_create_in_weladee", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "weladee_id"}}, "comparators": [{"_type": "Name", "_fields": {"id": "vals", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "create", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def create(self, vals) : odoovals = sync_clean_up(vals) pid = super(weladee_department,self).create( odoovals ) # only when user create from odoo, always send # record from sync will not send to weladee again if not "weladee_id" in vals: self._create_in_weladee(pid, vals) return pid
14,562
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class IdentifyGradientTest(test_util.TensorFlowTestCase): def setUp(self): rewriter_config = rewriter_config_pb2.RewriterConfig( disable_model_pruning=True, dependency_optimization=rewriter_config_pb2.RewriterConfig.OFF) graph_options = config_pb2.GraphOptions(rewrite_options=rewriter_config) config = config_pb2.ConfigProto(graph_options=graph_options) self.sess = session.Session(config=config) with self.sess.as_default(): self.u = variables.Variable(2.0, name="u") self.v = variables.Variable(3.0, name="v") self.w = math_ops.multiply(self.u.value(), self.v.value(), name="w") def tearDown(self): ops.reset_default_graph() debug_gradients.clear_gradient_debuggers() def testIdentifyGradientGivesCorrectTensorObjectWithoutContextManager(self): grad_debugger = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) # Fetch the gradient tensor with the x-tensor object. w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor's name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) def testIdentifyGradientGivesCorrectTensorObjectWithTfGradients(self): grad_debugger = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") with grad_debugger: grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) # Fetch the gradient tensor with the x-tensor object. w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor's name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) def testCallingIdentifyGradientTwiceWithTheSameGradientsDebuggerErrors(self): grad_debugger = debug_gradients.GradientsDebugger() grad_debugger.identify_gradient(self.w) with self.assertRaisesRegexp(ValueError, "The graph already contains an op named .*"): grad_debugger.identify_gradient(self.w) def testIdentifyGradientWorksOnMultipleLosses(self): grad_debugger_1 = debug_gradients.GradientsDebugger() grad_debugger_2 = debug_gradients.GradientsDebugger() y = math_ops.add(self.w, -1.0, name="y") debug_y = grad_debugger_1.identify_gradient(y) z1 = math_ops.square(debug_y, name="z1") debug_y = grad_debugger_2.identify_gradient(y) z2 = math_ops.sqrt(debug_y, name="z2") with grad_debugger_1: gradient_descent.GradientDescentOptimizer(0.1).minimize(z1) with grad_debugger_2: gradient_descent.GradientDescentOptimizer(0.1).minimize(z2) dz1_dy = grad_debugger_1.gradient_tensor(y) dz2_dy = grad_debugger_2.gradient_tensor(y) self.assertIsInstance(dz1_dy, ops.Tensor) self.assertIsInstance(dz2_dy, ops.Tensor) self.assertIsNot(dz1_dy, dz2_dy) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0**2, self.sess.run(z1)) self.assertAllClose(5.0**0.5, self.sess.run(z2)) self.assertAllClose(2.0 * 5.0, self.sess.run(dz1_dy)) self.assertAllClose(0.5 * (5.0**-0.5), self.sess.run(dz2_dy)) def testIdentifyGradientRaisesLookupErrorForUnknownXTensor(self): grad_debugger_1 = debug_gradients.GradientsDebugger() grad_debugger_2 = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger_1.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") # There are >1 gradient debuggers registered, and grad_debugger is not used # as a context manager here, so the gradient w.r.t. self.w will not be # registered. gradients_impl.gradients(y, [self.u, self.v]) with self.assertRaisesRegexp( LookupError, r"This GradientsDebugger has not received any gradient tensor for "): grad_debugger_1.gradient_tensor(self.w) with self.assertRaisesRegexp( LookupError, r"This GradientsDebugger has not received any gradient tensor for "): grad_debugger_2.gradient_tensor(self.w) def testIdentifyGradientRaisesTypeErrorForNonTensorOrTensorNameInput(self): grad_debugger = debug_gradients.GradientsDebugger() with self.assertRaisesRegexp( TypeError, r"x_tensor must be a str or tf\.Tensor or tf\.Variable, but instead " r"has type .*Operation.*"): grad_debugger.gradient_tensor(variables.global_variables_initializer()) def testIdentifyGradientTensorWorksWithGradientDescentOptimizer(self): grad_debugger = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") with grad_debugger: gradient_descent.GradientDescentOptimizer(0.1).minimize(y) self.sess.run(variables.global_variables_initializer()) # Fetch the gradient tensor with the x-tensor object. w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) def testWatchGradientsByXTensorNamesWorks(self): y = math_ops.add(self.w, -1.0, name="y") # The constructrion of the forward graph has completed. # But we can still get the gradient tensors by using # watch_gradients_by_tensor_names(). grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "w:0$"): grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) w_grad = grad_debugger.gradient_tensor("w:0") self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) def testWatchGradientsByXTensorNamesWorksWithoutContextManager(self): y = math_ops.add(self.w, -1.0, name="y") # The constructrion of the forward graph has completed. # But we can still get the gradient tensors by using # watch_gradients_by_tensor_names(). grad_debugger = debug_gradients.GradientsDebugger() grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "w:0$") grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) w_grad = grad_debugger.gradient_tensor("w:0") self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) def testWatchGradientsWorksOnRefTensor(self): y = math_ops.add(self.w, -1.0, name="y") grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "u:0$"): grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.assertIs(u_grad, grad_debugger.gradient_tensor("u:0")) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) self.assertAllClose(3.0, self.sess.run( grad_debugger.gradient_tensor("u:0"))) def testWatchGradientsWorksOnMultipleTensors(self): y = math_ops.add(self.w, -1.0, name="y") grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "(u|w):0$"): grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] self.assertEqual(2, len(grad_debugger.gradient_tensors())) self.assertIs(u_grad, grad_debugger.gradient_tensor("u:0")) self.assertIsInstance(grad_debugger.gradient_tensor("w:0"), ops.Tensor) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(1.0, self.sess.run( grad_debugger.gradient_tensor("w:0"))) self.assertAllClose(3.0, self.sess.run( grad_debugger.gradient_tensor("u:0"))) def testWatchGradientsByXTensorsWorks(self): y = math_ops.add(self.w, -1.0, name="foo/y") z = math_ops.square(y, name="foo/z") # The constructrion of the forward graph has completed. # But we can still get the gradient tensors by using # watch_gradients_by_x_tensors(). grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensors(self.sess.graph, [self.w, self.u, y]): gradient_descent.GradientDescentOptimizer(0.1).minimize(z) self.assertEqual(3, len(grad_debugger.gradient_tensors())) u_grad = grad_debugger.gradient_tensor(self.u) w_grad = grad_debugger.gradient_tensor(self.w) y_grad = grad_debugger.gradient_tensor(y) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(10.0, self.sess.run(y_grad)) self.assertAllClose(10.0, self.sess.run(w_grad)) self.assertAllClose(30.0, self.sess.run(u_grad)) def testWatchGradientsByTensorCanWorkOnMultipleLosses(self): y = math_ops.add(self.w, -1.0, name="y") z1 = math_ops.square(y, name="z1") z2 = math_ops.sqrt(y, name="z2") grad_debugger_1 = debug_gradients.GradientsDebugger() with grad_debugger_1.watch_gradients_by_tensors(self.sess.graph, y): gradient_descent.GradientDescentOptimizer(0.1).minimize(z1) grad_debugger_2 = debug_gradients.GradientsDebugger() with grad_debugger_2.watch_gradients_by_tensors(self.sess.graph, y): gradient_descent.GradientDescentOptimizer(0.1).minimize(z2) dz1_dy = grad_debugger_1.gradient_tensor(y) dz2_dy = grad_debugger_2.gradient_tensor(y) self.assertIsInstance(dz1_dy, ops.Tensor) self.assertIsInstance(dz2_dy, ops.Tensor) self.assertIsNot(dz1_dy, dz2_dy) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0**2, self.sess.run(z1)) self.assertAllClose(5.0**0.5, self.sess.run(z2)) self.assertAllClose(2.0 * 5.0, self.sess.run(dz1_dy)) self.assertAllClose(0.5 * (5.0**-0.5), self.sess.run(dz2_dy)) def testGradientsValuesFromDumpWorks(self): y = math_ops.add(self.w, -1.0, name="y") z = math_ops.square(y, name="z") grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensors(self.sess.graph, [self.w, self.u, y]): train_op = gradient_descent.GradientDescentOptimizer(0.1).minimize(z) self.sess.run(variables.global_variables_initializer()) run_options = config_pb2.RunOptions(output_partition_graphs=True) dump_dir = tempfile.mkdtemp() debug_url = "file://" + dump_dir debug_utils.watch_graph(run_options, self.sess.graph, debug_urls=debug_url) run_metadata = config_pb2.RunMetadata() self.assertAllClose(2.0, self.sess.run(self.u)) self.sess.run(train_op, options=run_options, run_metadata=run_metadata) self.assertAllClose(-1.0, self.sess.run(self.u)) dump = debug_data.DebugDumpDir( dump_dir, partition_graphs=run_metadata.partition_graphs) dump.set_python_graph(self.sess.graph) y_grad_values = debug_gradients.gradient_values_from_dump( grad_debugger, y, dump) self.assertEqual(1, len(y_grad_values)) self.assertAllClose(10.0, y_grad_values[0]) w_grad_values = debug_gradients.gradient_values_from_dump( grad_debugger, self.w, dump) self.assertEqual(1, len(w_grad_values)) self.assertAllClose(10.0, w_grad_values[0]) u_grad_values = debug_gradients.gradient_values_from_dump( grad_debugger, self.u, dump) self.assertEqual(1, len(u_grad_values)) self.assertAllClose(30.0, u_grad_values[0]) with self.assertRaisesRegexp( LookupError, r"This GradientsDebugger has not received any gradient tensor for " r"x-tensor v:0"): debug_gradients.gradient_values_from_dump(grad_debugger, self.v, dump) # Cleanup. shutil.rmtree(dump_dir)
14,563
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10
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def setUp(self): rewriter_config = rewriter_config_pb2.RewriterConfig( disable_model_pruning=True, dependency_optimization=rewriter_config_pb2.RewriterConfig.OFF) graph_options = config_pb2.GraphOptions(rewrite_options=rewriter_config) config = config_pb2.ConfigProto(graph_options=graph_options) self.sess = session.Session(config=config) with self.sess.as_default(): self.u = variables.Variable(2.0, name="u") self.v = variables.Variable(3.0, name="v") self.w = math_ops.multiply(self.u.value(), self.v.value(), name="w")
14,564
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testIdentifyGradientGivesCorrectTensorObjectWithoutContextManager", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testIdentifyGradientGivesCorrectTensorObjectWithoutContextManager(self): grad_debugger = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) # Fetch the gradient tensor with the x-tensor object. w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor's name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad))
14,565
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def testIdentifyGradientGivesCorrectTensorObjectWithTfGradients(self): grad_debugger = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") with grad_debugger: grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) # Fetch the gradient tensor with the x-tensor object. w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor's name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) # Fetch the gradient tensor with the x-tensor name. w_grad = grad_debugger.gradient_tensor(self.w.name) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad))
14,566
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10
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def testIdentifyGradientWorksOnMultipleLosses(self): grad_debugger_1 = debug_gradients.GradientsDebugger() grad_debugger_2 = debug_gradients.GradientsDebugger() y = math_ops.add(self.w, -1.0, name="y") debug_y = grad_debugger_1.identify_gradient(y) z1 = math_ops.square(debug_y, name="z1") debug_y = grad_debugger_2.identify_gradient(y) z2 = math_ops.sqrt(debug_y, name="z2") with grad_debugger_1: gradient_descent.GradientDescentOptimizer(0.1).minimize(z1) with grad_debugger_2: gradient_descent.GradientDescentOptimizer(0.1).minimize(z2) dz1_dy = grad_debugger_1.gradient_tensor(y) dz2_dy = grad_debugger_2.gradient_tensor(y) self.assertIsInstance(dz1_dy, ops.Tensor) self.assertIsInstance(dz2_dy, ops.Tensor) self.assertIsNot(dz1_dy, dz2_dy) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0**2, self.sess.run(z1)) self.assertAllClose(5.0**0.5, self.sess.run(z2)) self.assertAllClose(2.0 * 5.0, self.sess.run(dz1_dy)) self.assertAllClose(0.5 * (5.0**-0.5), self.sess.run(dz2_dy))
14,567
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def testIdentifyGradientRaisesLookupErrorForUnknownXTensor(self): grad_debugger_1 = debug_gradients.GradientsDebugger() grad_debugger_2 = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger_1.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") # There are >1 gradient debuggers registered, and grad_debugger is not used # as a context manager here, so the gradient w.r.t. self.w will not be # registered. gradients_impl.gradients(y, [self.u, self.v]) with self.assertRaisesRegexp( LookupError, r"This GradientsDebugger has not received any gradient tensor for "): grad_debugger_1.gradient_tensor(self.w) with self.assertRaisesRegexp( LookupError, r"This GradientsDebugger has not received any gradient tensor for "): grad_debugger_2.gradient_tensor(self.w)
14,568
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10
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def testIdentifyGradientTensorWorksWithGradientDescentOptimizer(self): grad_debugger = debug_gradients.GradientsDebugger() id_grad_w = grad_debugger.identify_gradient(self.w) y = math_ops.add(id_grad_w, -1.0, name="y") with grad_debugger: gradient_descent.GradientDescentOptimizer(0.1).minimize(y) self.sess.run(variables.global_variables_initializer()) # Fetch the gradient tensor with the x-tensor object. w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad))
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsInstance", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "w_grad", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testWatchGradientsByXTensorNamesWorks", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testWatchGradientsByXTensorNamesWorks(self): y = math_ops.add(self.w, -1.0, name="y") # The constructrion of the forward graph has completed. # But we can still get the gradient tensors by using # watch_gradients_by_tensor_names(). grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "w:0$"): grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) w_grad = grad_debugger.gradient_tensor("w:0") self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad))
14,570
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"self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "w_grad", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testWatchGradientsByXTensorNamesWorksWithoutContextManager", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testWatchGradientsByXTensorNamesWorksWithoutContextManager(self): y = math_ops.add(self.w, -1.0, name="y") # The constructrion of the forward graph has completed. # But we can still get the gradient tensors by using # watch_gradients_by_tensor_names(). grad_debugger = debug_gradients.GradientsDebugger() grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "w:0$") grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0, self.sess.run(y)) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) w_grad = grad_debugger.gradient_tensor(self.w) self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad)) w_grad = grad_debugger.gradient_tensor("w:0") self.assertIsInstance(w_grad, ops.Tensor) self.assertAllClose(1.0, self.sess.run(w_grad))
14,571
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"attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "v_grad", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "u:0"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gradient_tensor", "value": {"_type": "Name", "_fields": {"id": "grad_debugger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testWatchGradientsWorksOnRefTensor", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testWatchGradientsWorksOnRefTensor(self): y = math_ops.add(self.w, -1.0, name="y") grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "u:0$"): grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] v_grad = grads[1] self.assertIs(u_grad, grad_debugger.gradient_tensor("u:0")) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(3.0, self.sess.run(u_grad)) self.assertAllClose(2.0, self.sess.run(v_grad)) self.assertAllClose(3.0, self.sess.run( grad_debugger.gradient_tensor("u:0")))
14,572
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def testWatchGradientsByXTensorsWorks(self): y = math_ops.add(self.w, -1.0, name="foo/y") z = math_ops.square(y, name="foo/z") # The constructrion of the forward graph has completed. # But we can still get the gradient tensors by using # watch_gradients_by_x_tensors(). grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensors(self.sess.graph, [self.w, self.u, y]): gradient_descent.GradientDescentOptimizer(0.1).minimize(z) self.assertEqual(3, len(grad_debugger.gradient_tensors())) u_grad = grad_debugger.gradient_tensor(self.u) w_grad = grad_debugger.gradient_tensor(self.w) y_grad = grad_debugger.gradient_tensor(y) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(10.0, self.sess.run(y_grad)) self.assertAllClose(10.0, self.sess.run(w_grad)) self.assertAllClose(30.0, self.sess.run(u_grad))
14,573
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9
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def testWatchGradientsWorksOnMultipleTensors(self): y = math_ops.add(self.w, -1.0, name="y") grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensor_names(self.sess.graph, "(u|w):0$"): grads = gradients_impl.gradients(y, [self.u, self.v]) self.assertEqual(2, len(grads)) u_grad = grads[0] self.assertEqual(2, len(grad_debugger.gradient_tensors())) self.assertIs(u_grad, grad_debugger.gradient_tensor("u:0")) self.assertIsInstance(grad_debugger.gradient_tensor("w:0"), ops.Tensor) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(1.0, self.sess.run( grad_debugger.gradient_tensor("w:0"))) self.assertAllClose(3.0, self.sess.run( grad_debugger.gradient_tensor("u:0")))
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10
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def testWatchGradientsByTensorCanWorkOnMultipleLosses(self): y = math_ops.add(self.w, -1.0, name="y") z1 = math_ops.square(y, name="z1") z2 = math_ops.sqrt(y, name="z2") grad_debugger_1 = debug_gradients.GradientsDebugger() with grad_debugger_1.watch_gradients_by_tensors(self.sess.graph, y): gradient_descent.GradientDescentOptimizer(0.1).minimize(z1) grad_debugger_2 = debug_gradients.GradientsDebugger() with grad_debugger_2.watch_gradients_by_tensors(self.sess.graph, y): gradient_descent.GradientDescentOptimizer(0.1).minimize(z2) dz1_dy = grad_debugger_1.gradient_tensor(y) dz2_dy = grad_debugger_2.gradient_tensor(y) self.assertIsInstance(dz1_dy, ops.Tensor) self.assertIsInstance(dz2_dy, ops.Tensor) self.assertIsNot(dz1_dy, dz2_dy) self.sess.run(variables.global_variables_initializer()) self.assertAllClose(5.0**2, self.sess.run(z1)) self.assertAllClose(5.0**0.5, self.sess.run(z2)) self.assertAllClose(2.0 * 5.0, self.sess.run(dz1_dy)) self.assertAllClose(0.5 * (5.0**-0.5), self.sess.run(dz2_dy))
14,575
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def testGradientsValuesFromDumpWorks(self): y = math_ops.add(self.w, -1.0, name="y") z = math_ops.square(y, name="z") grad_debugger = debug_gradients.GradientsDebugger() with grad_debugger.watch_gradients_by_tensors(self.sess.graph, [self.w, self.u, y]): train_op = gradient_descent.GradientDescentOptimizer(0.1).minimize(z) self.sess.run(variables.global_variables_initializer()) run_options = config_pb2.RunOptions(output_partition_graphs=True) dump_dir = tempfile.mkdtemp() debug_url = "file://" + dump_dir debug_utils.watch_graph(run_options, self.sess.graph, debug_urls=debug_url) run_metadata = config_pb2.RunMetadata() self.assertAllClose(2.0, self.sess.run(self.u)) self.sess.run(train_op, options=run_options, run_metadata=run_metadata) self.assertAllClose(-1.0, self.sess.run(self.u)) dump = debug_data.DebugDumpDir( dump_dir, partition_graphs=run_metadata.partition_graphs) dump.set_python_graph(self.sess.graph) y_grad_values = debug_gradients.gradient_values_from_dump( grad_debugger, y, dump) self.assertEqual(1, len(y_grad_values)) self.assertAllClose(10.0, y_grad_values[0]) w_grad_values = debug_gradients.gradient_values_from_dump( grad_debugger, self.w, dump) self.assertEqual(1, len(w_grad_values)) self.assertAllClose(10.0, w_grad_values[0]) u_grad_values = debug_gradients.gradient_values_from_dump( grad_debugger, self.u, dump) self.assertEqual(1, len(u_grad_values)) self.assertAllClose(30.0, u_grad_values[0]) with self.assertRaisesRegexp( LookupError, r"This GradientsDebugger has not received any gradient tensor for " r"x-tensor v:0"): debug_gradients.gradient_values_from_dump(grad_debugger, self.v, dump) # Cleanup. shutil.rmtree(dump_dir)
14,576
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def guess_label(self, logits_y, p_data, p_model, T, use_dm, redux, **kwargs): del kwargs if redux == 'swap': p_model_y = tf.concat([tf.nn.softmax(x) for x in logits_y[1:] + logits_y[:1]], axis=0) elif redux == 'mean': p_model_y = sum(tf.nn.softmax(x) for x in logits_y) / len(logits_y) p_model_y = tf.tile(p_model_y, [len(logits_y), 1]) elif redux == '1st': p_model_y = tf.nn.softmax(logits_y[0]) p_model_y = tf.tile(p_model_y, [len(logits_y), 1]) else: raise NotImplementedError() # Compute the target distribution. # 1. Rectify the distribution or not. if use_dm: p_ratio = (1e-6 + p_data) / (1e-6 + p_model) p_weighted = p_model_y * p_ratio p_weighted /= tf.reduce_sum(p_weighted, axis=1, keep_dims=True) else: p_weighted = p_model_y # 2. Apply sharpening. p_target = tf.pow(p_weighted, 1. / T) p_target /= tf.reduce_sum(p_target, axis=1, keep_dims=True) return EasyDict(p_target=p_target, p_model=p_model_y)
14,577
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class ReMixMatch(MixMatch): def classifier_rot(self, x): with tf.variable_scope('classify_rot', reuse=tf.AUTO_REUSE): return tf.layers.dense(x, 4, kernel_initializer=tf.glorot_normal_initializer()) def guess_label(self, logits_y, p_data, p_model, T, use_dm, redux, **kwargs): del kwargs if redux == 'swap': p_model_y = tf.concat([tf.nn.softmax(x) for x in logits_y[1:] + logits_y[:1]], axis=0) elif redux == 'mean': p_model_y = sum(tf.nn.softmax(x) for x in logits_y) / len(logits_y) p_model_y = tf.tile(p_model_y, [len(logits_y), 1]) elif redux == '1st': p_model_y = tf.nn.softmax(logits_y[0]) p_model_y = tf.tile(p_model_y, [len(logits_y), 1]) else: raise NotImplementedError() # Compute the target distribution. # 1. Rectify the distribution or not. if use_dm: p_ratio = (1e-6 + p_data) / (1e-6 + p_model) p_weighted = p_model_y * p_ratio p_weighted /= tf.reduce_sum(p_weighted, axis=1, keep_dims=True) else: p_weighted = p_model_y # 2. Apply sharpening. p_target = tf.pow(p_weighted, 1. / T) p_target /= tf.reduce_sum(p_target, axis=1, keep_dims=True) return EasyDict(p_target=p_target, p_model=p_model_y) def model(self, batch, lr, wd, beta, w_kl, w_match, w_rot, K, use_xe, warmup_kimg=1024, T=0.5, mixmode='xxy.yxy', dbuf=128, ema=0.999, **kwargs): hwc = [self.dataset.height, self.dataset.width, self.dataset.colors] xt_in = tf.placeholder(tf.float32, [batch] + hwc, 'xt') # For training x_in = tf.placeholder(tf.float32, [None] + hwc, 'x') y_in = tf.placeholder(tf.float32, [batch, K + 1] + hwc, 'y') l_in = tf.placeholder(tf.int32, [batch], 'labels') wd *= lr w_match *= tf.clip_by_value(tf.cast(self.step, tf.float32) / (warmup_kimg << 10), 0, 1) augment = layers.MixMode(mixmode) gpu = utils.get_gpu() def classifier_to_gpu(x, **kw): with tf.device(next(gpu)): return self.classifier(x, **kw, **kwargs).logits def random_rotate(x): b4 = batch // 4 x, xt = x[:2 * b4], tf.transpose(x[2 * b4:], [0, 2, 1, 3]) l = np.zeros(b4, np.int32) l = tf.constant(np.concatenate([l, l + 1, l + 2, l + 3], axis=0)) return tf.concat([x[:b4], x[b4:, ::-1, ::-1], xt[:b4, ::-1], xt[b4:, :, ::-1]], axis=0), l # Moving average of the current estimated label distribution p_model = layers.PMovingAverage('p_model', self.nclass, dbuf) p_target = layers.PMovingAverage('p_target', self.nclass, dbuf) # Rectified distribution (only for plotting) # Known (or inferred) true unlabeled distribution p_data = layers.PData(self.dataset) if w_rot > 0: rot_y, rot_l = random_rotate(y_in[:, 1]) with tf.device(next(gpu)): rot_logits = self.classifier_rot(self.classifier(rot_y, training=True, **kwargs).embeds) loss_rot = tf.nn.softmax_cross_entropy_with_logits_v2(labels=tf.one_hot(rot_l, 4), logits=rot_logits) loss_rot = tf.reduce_mean(loss_rot) tf.summary.scalar('losses/rot', loss_rot) else: loss_rot = 0 if kwargs['redux'] == '1st' and w_kl <= 0: logits_y = [classifier_to_gpu(y_in[:, 0], training=True)] * (K + 1) elif kwargs['redux'] == '1st': logits_y = [classifier_to_gpu(y_in[:, i], training=True) for i in range(2)] logits_y += logits_y[:1] * (K - 1) else: logits_y = [classifier_to_gpu(y_in[:, i], training=True) for i in range(K + 1)] guess = self.guess_label(logits_y, p_data(), p_model(), T=T, **kwargs) ly = tf.stop_gradient(guess.p_target) if w_kl > 0: w_kl *= tf.clip_by_value(tf.cast(self.step, tf.float32) / (warmup_kimg << 10), 0, 1) loss_kl = tf.nn.softmax_cross_entropy_with_logits_v2(labels=ly[:batch], logits=logits_y[1]) loss_kl = tf.reduce_mean(loss_kl) tf.summary.scalar('losses/kl', loss_kl) else: loss_kl = 0 del logits_y lx = tf.one_hot(l_in, self.nclass) xy, labels_xy = augment([xt_in] + [y_in[:, i] for i in range(K + 1)], [lx] + tf.split(ly, K + 1), [beta, beta]) x, y = xy[0], xy[1:] labels_x, labels_y = labels_xy[0], tf.concat(labels_xy[1:], 0) del xy, labels_xy batches = layers.interleave([x] + y, batch) logits = [classifier_to_gpu(yi, training=True) for yi in batches[:-1]] skip_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) logits.append(classifier_to_gpu(batches[-1], training=True)) post_ops = [v for v in tf.get_collection(tf.GraphKeys.UPDATE_OPS) if v not in skip_ops] logits = layers.interleave(logits, batch) logits_x = logits[0] logits_y = tf.concat(logits[1:], 0) del batches, logits loss_xe = tf.nn.softmax_cross_entropy_with_logits_v2(labels=labels_x, logits=logits_x) loss_xe = tf.reduce_mean(loss_xe) if use_xe: loss_xeu = tf.nn.softmax_cross_entropy_with_logits_v2(labels=labels_y, logits=logits_y) else: loss_xeu = tf.square(labels_y - tf.nn.softmax(logits_y)) loss_xeu = tf.reduce_mean(loss_xeu) tf.summary.scalar('losses/xe', loss_xe) tf.summary.scalar('losses/%s' % ('xeu' if use_xe else 'l2u'), loss_xeu) self.distribution_summary(p_data(), p_model(), p_target()) ema = tf.train.ExponentialMovingAverage(decay=ema) ema_op = ema.apply(utils.model_vars()) ema_getter = functools.partial(utils.getter_ema, ema) post_ops.extend([ema_op, p_model.update(guess.p_model), p_target.update(guess.p_target)]) if p_data.has_update: post_ops.append(p_data.update(lx)) post_ops.extend([tf.assign(v, v * (1 - wd)) for v in utils.model_vars('classify') if 'kernel' in v.name]) train_op = tf.train.AdamOptimizer(lr).minimize(loss_xe + w_kl * loss_kl + w_match * loss_xeu + w_rot * loss_rot, colocate_gradients_with_ops=True) with tf.control_dependencies([train_op]): train_op = tf.group(*post_ops) return EasyDict( xt=xt_in, x=x_in, y=y_in, label=l_in, train_op=train_op, classify_op=tf.nn.softmax(classifier_to_gpu(x_in, getter=ema_getter, training=False)), classify_raw=tf.nn.softmax(classifier_to_gpu(x_in, training=False)))
14,578
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def model(self, batch, lr, wd, beta, w_kl, w_match, w_rot, K, use_xe, warmup_kimg=1024, T=0.5, mixmode='xxy.yxy', dbuf=128, ema=0.999, **kwargs): hwc = [self.dataset.height, self.dataset.width, self.dataset.colors] xt_in = tf.placeholder(tf.float32, [batch] + hwc, 'xt') # For training x_in = tf.placeholder(tf.float32, [None] + hwc, 'x') y_in = tf.placeholder(tf.float32, [batch, K + 1] + hwc, 'y') l_in = tf.placeholder(tf.int32, [batch], 'labels') wd *= lr w_match *= tf.clip_by_value(tf.cast(self.step, tf.float32) / (warmup_kimg << 10), 0, 1) augment = layers.MixMode(mixmode) gpu = utils.get_gpu() def classifier_to_gpu(x, **kw): with tf.device(next(gpu)): return self.classifier(x, **kw, **kwargs).logits def random_rotate(x): b4 = batch // 4 x, xt = x[:2 * b4], tf.transpose(x[2 * b4:], [0, 2, 1, 3]) l = np.zeros(b4, np.int32) l = tf.constant(np.concatenate([l, l + 1, l + 2, l + 3], axis=0)) return tf.concat([x[:b4], x[b4:, ::-1, ::-1], xt[:b4, ::-1], xt[b4:, :, ::-1]], axis=0), l # Moving average of the current estimated label distribution p_model = layers.PMovingAverage('p_model', self.nclass, dbuf) p_target = layers.PMovingAverage('p_target', self.nclass, dbuf) # Rectified distribution (only for plotting) # Known (or inferred) true unlabeled distribution p_data = layers.PData(self.dataset) if w_rot > 0: rot_y, rot_l = random_rotate(y_in[:, 1]) with tf.device(next(gpu)): rot_logits = self.classifier_rot(self.classifier(rot_y, training=True, **kwargs).embeds) loss_rot = tf.nn.softmax_cross_entropy_with_logits_v2(labels=tf.one_hot(rot_l, 4), logits=rot_logits) loss_rot = tf.reduce_mean(loss_rot) tf.summary.scalar('losses/rot', loss_rot) else: loss_rot = 0 if kwargs['redux'] == '1st' and w_kl <= 0: logits_y = [classifier_to_gpu(y_in[:, 0], training=True)] * (K + 1) elif kwargs['redux'] == '1st': logits_y = [classifier_to_gpu(y_in[:, i], training=True) for i in range(2)] logits_y += logits_y[:1] * (K - 1) else: logits_y = [classifier_to_gpu(y_in[:, i], training=True) for i in range(K + 1)] guess = self.guess_label(logits_y, p_data(), p_model(), T=T, **kwargs) ly = tf.stop_gradient(guess.p_target) if w_kl > 0: w_kl *= tf.clip_by_value(tf.cast(self.step, tf.float32) / (warmup_kimg << 10), 0, 1) loss_kl = tf.nn.softmax_cross_entropy_with_logits_v2(labels=ly[:batch], logits=logits_y[1]) loss_kl = tf.reduce_mean(loss_kl) tf.summary.scalar('losses/kl', loss_kl) else: loss_kl = 0 del logits_y lx = tf.one_hot(l_in, self.nclass) xy, labels_xy = augment([xt_in] + [y_in[:, i] for i in range(K + 1)], [lx] + tf.split(ly, K + 1), [beta, beta]) x, y = xy[0], xy[1:] labels_x, labels_y = labels_xy[0], tf.concat(labels_xy[1:], 0) del xy, labels_xy batches = layers.interleave([x] + y, batch) logits = [classifier_to_gpu(yi, training=True) for yi in batches[:-1]] skip_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) logits.append(classifier_to_gpu(batches[-1], training=True)) post_ops = [v for v in tf.get_collection(tf.GraphKeys.UPDATE_OPS) if v not in skip_ops] logits = layers.interleave(logits, batch) logits_x = logits[0] logits_y = tf.concat(logits[1:], 0) del batches, logits loss_xe = tf.nn.softmax_cross_entropy_with_logits_v2(labels=labels_x, logits=logits_x) loss_xe = tf.reduce_mean(loss_xe) if use_xe: loss_xeu = tf.nn.softmax_cross_entropy_with_logits_v2(labels=labels_y, logits=logits_y) else: loss_xeu = tf.square(labels_y - tf.nn.softmax(logits_y)) loss_xeu = tf.reduce_mean(loss_xeu) tf.summary.scalar('losses/xe', loss_xe) tf.summary.scalar('losses/%s' % ('xeu' if use_xe else 'l2u'), loss_xeu) self.distribution_summary(p_data(), p_model(), p_target()) ema = tf.train.ExponentialMovingAverage(decay=ema) ema_op = ema.apply(utils.model_vars()) ema_getter = functools.partial(utils.getter_ema, ema) post_ops.extend([ema_op, p_model.update(guess.p_model), p_target.update(guess.p_target)]) if p_data.has_update: post_ops.append(p_data.update(lx)) post_ops.extend([tf.assign(v, v * (1 - wd)) for v in utils.model_vars('classify') if 'kernel' in v.name]) train_op = tf.train.AdamOptimizer(lr).minimize(loss_xe + w_kl * loss_kl + w_match * loss_xeu + w_rot * loss_rot, colocate_gradients_with_ops=True) with tf.control_dependencies([train_op]): train_op = tf.group(*post_ops) return EasyDict( xt=xt_in, x=x_in, y=y_in, label=l_in, train_op=train_op, classify_op=tf.nn.softmax(classifier_to_gpu(x_in, getter=ema_getter, training=False)), classify_raw=tf.nn.softmax(classifier_to_gpu(x_in, training=False)))
14,579
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"Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "LShift", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "train_kimg", "value": {"_type": "Name", "_fields": {"id": "FLAGS", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "LShift", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "report_kimg", "value": {"_type": "Name", "_fields": {"id": "FLAGS", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "train", "value": {"_type": "Name", "_fields": {"id": "model", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], 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def main(argv): utils.setup_main() del argv # Unused. dataset = data.MANY_DATASETS()[FLAGS.dataset]() log_width = utils.ilog2(dataset.width) model = ReMixMatch( os.path.join(FLAGS.train_dir, dataset.name), dataset, lr=FLAGS.lr, wd=FLAGS.wd, arch=FLAGS.arch, batch=FLAGS.batch, nclass=dataset.nclass, K=FLAGS.K, beta=FLAGS.beta, w_kl=FLAGS.w_kl, w_match=FLAGS.w_match, w_rot=FLAGS.w_rot, redux=FLAGS.redux, use_dm=FLAGS.use_dm, use_xe=FLAGS.use_xe, warmup_kimg=FLAGS.warmup_kimg, scales=FLAGS.scales or (log_width - 2), filters=FLAGS.filters, repeat=FLAGS.repeat) model.train(FLAGS.train_kimg << 10, FLAGS.report_kimg << 10)
14,580
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10
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1}}]}}, "orelse": []}}]}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rstrip", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "url", "value": {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "url", "value": {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "basicConfig", "value": {"_type": "Name", "_fields": {"id": "logging", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "level", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "logging", "ctx": {"_type": "Load", "_fields": {}}}}}}, "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "verbose", "value": {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ERROR", "value": {"_type": "Name", "_fields": {"id": "logging", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "parse_args", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def parse_args(): run_isolated.disable_buffering() parser = optparse.OptionParser( usage='%prog [options] test_name', description=sys.modules[__name__].__doc__) parser.add_option( '-u', '--url', default='http://localhost:8080', help='Specify the url of the Swarm server, defaults: %default') parser.add_option( '-v', '--verbose', action='store_true', help='Print verbose logging') parser.add_option( '-t', '--timeout', type='float', default=run_isolated.URL_OPEN_TIMEOUT, help='Timeout to wait for result, set to 0 for no timeout; default: ' '%default s') # TODO(maruel): Remove once the masters have been updated. parser.add_option( '-s', '--shards', help=optparse.SUPPRESS_HELP) (options, args) = parser.parse_args() if not args: parser.error('Must specify one test name.') elif len(args) > 1: parser.error('Must specify only one test name.') options.url = options.url.rstrip('/') logging.basicConfig(level=logging.DEBUG if options.verbose else logging.ERROR) return parser, options, args[0]
14,581
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13
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{"id": "output", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "map", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "max", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "max", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "exit_code", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "url", "value": {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "test_keys", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeout", "value": {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Name", "_fields": {"id": "yield_results", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "_index", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "exit_code", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def main(): parser, options, test_name = parse_args() try: test_keys = get_test_keys(options.url, test_name, options.timeout) except Failure as e: parser.error(e.args[0]) if not test_keys: parser.error('No test keys to get results with.') options.shards = len(test_keys) if options.shards == -1 else options.shards exit_code = None for _index, output in yield_results( options.url, test_keys, options.timeout, None): print( '%s/%s: %s' % ( output['machine_id'], output['machine_tag'], output['exit_codes'])) print(''.join(' %s\n' % l for l in output['output'].splitlines())) exit_code = max(exit_code, max(map(int, output['exit_codes'].split(',')))) return exit_code
14,582
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"test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "sess", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "testBasic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "SparseMaskTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class SparseMaskTest(tf.test.TestCase): def testBasic(self): values = np.random.rand(4, 4).astype(np.single) indices = np.array([0, 2, 3, 4], dtype=np.int32) mask_indices = np.array([0], dtype=np.int32) out_values = values[1:, :] out_indices = np.array([2, 3, 4], dtype=np.int32) with self.test_session() as sess: values_tensor = tf.convert_to_tensor(values) indices_tensor = tf.convert_to_tensor(indices) mask_indices_tensor = tf.convert_to_tensor(mask_indices) t = tf.IndexedSlices(values_tensor, indices_tensor) masked_t = tf.sparse_mask(t, mask_indices_tensor) tf_out_values, tf_out_indices = sess.run([masked_t.values, masked_t.indices]) self.assertAllEqual(tf_out_values, out_values) self.assertAllEqual(tf_out_indices, out_indices)
14,583
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9
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class Config(object): SECRET_KEY = os_env.get('WORDUP_SECRET', 'secret-key') # TODO: Change me APP_DIR = os.path.abspath(os.path.dirname(__file__)) # This directory PROJECT_ROOT = os.path.abspath(os.path.join(APP_DIR, os.pardir)) BCRYPT_LOG_ROUNDS = 13 ASSETS_DEBUG = False DEBUG_TB_ENABLED = False # Disable Debug toolbar DEBUG_TB_INTERCEPT_REDIRECTS = False CACHE_TYPE = 'simple'
14,584
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "json_data", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "head", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "head", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "/**\n"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "desc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "head", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, "value": {"_type": "Name", "_fields": {"id": "json_data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": " * {}\n"}}}}, "keywords": []}}}}, "target": {"_type": "Name", "_fields": {"id": "desc", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "head", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": " */\n"}}}}, "target": {"_type": "Name", "_fields": {"id": "desc", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "desc", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, "comparators": [{"_type": "Name", "_fields": {"id": "json_data", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}]}}], "name": "token_block_description", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def token_block_description(json_data, head = ''): if 'description' in json_data: desc = head + '/**\n' desc += head + ' * {}\n'.format(json_data['description']) desc += head + ' */\n' return desc else: return ''
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10
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def testBasic(self): values = np.random.rand(4, 4).astype(np.single) indices = np.array([0, 2, 3, 4], dtype=np.int32) mask_indices = np.array([0], dtype=np.int32) out_values = values[1:, :] out_indices = np.array([2, 3, 4], dtype=np.int32) with self.test_session() as sess: values_tensor = tf.convert_to_tensor(values) indices_tensor = tf.convert_to_tensor(indices) mask_indices_tensor = tf.convert_to_tensor(mask_indices) t = tf.IndexedSlices(values_tensor, indices_tensor) masked_t = tf.sparse_mask(t, mask_indices_tensor) tf_out_values, tf_out_indices = sess.run([masked_t.values, masked_t.indices]) self.assertAllEqual(tf_out_values, out_values) self.assertAllEqual(tf_out_indices, out_indices)
14,586
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14
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "profession", "value": {"_type": "Name", "_fields": {"id": "foo", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "profession as keyword"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "kwargs", "value": {"_type": "Name", "_fields": {"id": "foo", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "some"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "overloaded"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "kwargs"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_params", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestInspectPossibilities", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestInspectPossibilities(TestCase): def setUp(self): self.s = signature(Foo.__init__) def test_signature(self): self.assertIn('self', self.s.parameters) def test_params(self): args = [] kwargs = {} for name, param in self.s.parameters.items(): if name in ('self', ): continue if param.kind in (Parameter.POSITIONAL_OR_KEYWORD, Parameter.POSITIONAL_ONLY): args.append('%s as positional' % name) elif param.kind == Parameter.KEYWORD_ONLY: kwargs[name] = '%s as keyword' % name elif param.kind == Parameter.VAR_POSITIONAL: args += ['some', 'overloaded', 'args'] elif param.kind == Parameter.VAR_KEYWORD: passed_kwargs = { 'a': 'some', 'b': 'overloaded', 'c': 'kwargs', } passed_kwargs.update(kwargs) kwargs = passed_kwargs else: raise Exception('Unexpected Parameter kind %s' % param.kind) bound_args = self.s.bind(*args, **kwargs) foo = Foo(*bound_args.args, **bound_args.kwargs) self.assertEqual(foo.name, 'name as positional') self.assertEqual(foo.status, 'status as positional') self.assertEqual(foo.args, ('some', 'overloaded', 'args', )) self.assertEqual(foo.profession, 'profession as keyword') self.assertEqual(foo.kwargs, { 'a': 'some', 'b': 'overloaded', 'c': 'kwargs' })
14,587
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10
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def token_value(type, idx, v, delimiter): if 'value' in v: if type == 'string': return delimiter + v['value'] + delimiter else: return str(v['value']) elif type == 'enum': return str(idx)
14,588
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"attr": "inject_into", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "another_foo_wrapper", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "foo", "value": {"_type": "Name", "_fields": {"id": "foo_wrapper", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "another_foo", "value": {"_type": "Name", "_fields": {"id": "another_foo_wrapper", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": 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class TestFeatures(TestCase): def setUp(self): self.injector = Injector() self.injector.bind('name').to_value('Luke') self.injector.bind('status').to_value('Alive') self.injector.bind('profession').to_value('Jedi') self.injector.bind('profession').annotated_with('dark').to_value('Sith') self.injector.bind('foo').to_class(Foo).as_singleton() self.injector.bind('foo_function').to_function(foo_function).as_singleton() self.injector.bind('another_foo').to_class(Foo).as_singleton() self.injector.bind('bar').to_class(Bar).as_prototype() self.injector.bind('bar_function').to_function(bar_function).as_prototype() self.injector.bind('bar_factory').to_class(Bar).as_factory() self.injector.bind('bar_function_factory').to_function(bar_function).as_factory() def test_binding_is_set(self): self.assertIn('name', self.injector._binding_map) def test_value_provider(self): self.assertEqual(self.injector.get_instance('status'), 'Alive') def test_annotated_value_provider(self): self.assertEqual(self.injector.get_instance('profession'), 'Jedi') self.assertEqual(self.injector.get_instance('profession:dark'), 'Sith') def test_function_factory_provider(self): factory = self.injector.get_instance('bar_function_factory') bar = factory(a_key='A value') self.assertEqual(bar.profession, 'Sith') self.assertEqual(bar.kwargs['a_key'], 'A value') def test_class_factory_provider(self): factory = self.injector.get_instance('bar_factory') bar = factory(a_key='A value') self.assertEqual(bar.profession, 'Jedi') self.assertEqual(bar.kwargs['a_key'], 'A value') def test_constructor_provider(self): foo = self.injector.inject_into(Foo) self.assertEqual(foo.name, 'Luke') self.assertEqual(foo.status, 'Alive') self.assertEqual(foo.profession, 'Jedi') self.assertEqual(foo.args, ()) self.assertEqual(foo.kwargs, {}) def test_function_provider(self): foo = self.injector.inject_into(foo_function) self.assertEqual(foo.name, 'Anakin') self.assertEqual(foo.status, 'Dead') self.assertEqual(foo.profession, 'Sith') self.assertEqual(foo.args, ()) self.assertEqual(foo.kwargs, {}) def test_nested_provider(self): wrapper = self.injector.inject_into(FooWrapper) self.assertEqual(wrapper.foo.name, 'Luke') self.assertEqual(wrapper.foo.status, 'Alive') self.assertEqual(wrapper.foo.profession, 'Jedi') self.assertEqual(wrapper.foo.args, ()) self.assertEqual(wrapper.foo.kwargs, {}) def test_singleton_behaviour(self): wrapper = self.injector.inject_into(FooWrapper) another_wrapper = self.injector.inject_into(FooWrapper) self.assertEqual(wrapper.foo, another_wrapper.foo) def test_prototype_behaviour(self): wrapper = self.injector.inject_into(BarWrapper) another_wrapper = self.injector.inject_into(BarWrapper) self.assertNotEqual(wrapper.foo, another_wrapper.foo) def test_function_singleton_behaviour(self): wrapper = self.injector.inject_into(foo_function_wrapper) another_wrapper = self.injector.inject_into(foo_function_wrapper) self.assertEqual(wrapper, another_wrapper) def test_function_prototype_behaviour(self): wrapper = self.injector.inject_into(bar_function_wrapper) another_wrapper = self.injector.inject_into(bar_function_wrapper) self.assertNotEqual(wrapper, another_wrapper) def test_singleton_cache(self): foo_wrapper = self.injector.inject_into(FooWrapper) another_foo_wrapper = self.injector.inject_into(AnotherFooWrapper) self.assertEqual(foo_wrapper.foo, another_foo_wrapper.another_foo)
14,589
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13
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def test_params(self): args = [] kwargs = {} for name, param in self.s.parameters.items(): if name in ('self', ): continue if param.kind in (Parameter.POSITIONAL_OR_KEYWORD, Parameter.POSITIONAL_ONLY): args.append('%s as positional' % name) elif param.kind == Parameter.KEYWORD_ONLY: kwargs[name] = '%s as keyword' % name elif param.kind == Parameter.VAR_POSITIONAL: args += ['some', 'overloaded', 'args'] elif param.kind == Parameter.VAR_KEYWORD: passed_kwargs = { 'a': 'some', 'b': 'overloaded', 'c': 'kwargs', } passed_kwargs.update(kwargs) kwargs = passed_kwargs else: raise Exception('Unexpected Parameter kind %s' % param.kind) bound_args = self.s.bind(*args, **kwargs) foo = Foo(*bound_args.args, **bound_args.kwargs) self.assertEqual(foo.name, 'name as positional') self.assertEqual(foo.status, 'status as positional') self.assertEqual(foo.args, ('some', 'overloaded', 'args', )) self.assertEqual(foo.profession, 'profession as keyword') self.assertEqual(foo.kwargs, { 'a': 'some', 'b': 'overloaded', 'c': 'kwargs' })
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12
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def setUp(self): self.injector = Injector() self.injector.bind('name').to_value('Luke') self.injector.bind('status').to_value('Alive') self.injector.bind('profession').to_value('Jedi') self.injector.bind('profession').annotated_with('dark').to_value('Sith') self.injector.bind('foo').to_class(Foo).as_singleton() self.injector.bind('foo_function').to_function(foo_function).as_singleton() self.injector.bind('another_foo').to_class(Foo).as_singleton() self.injector.bind('bar').to_class(Bar).as_prototype() self.injector.bind('bar_function').to_function(bar_function).as_prototype() self.injector.bind('bar_factory').to_class(Bar).as_factory() self.injector.bind('bar_function_factory').to_function(bar_function).as_factory()
14,591
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16
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"bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_singleton", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_class", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "first"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "annotated_with", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AnnotationAlreadyExists", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_annotation_already_registered", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_singleton", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_class", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "annotated_with", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "InvalidAnnotation", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_invalid_annotation_mapping", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "profession", "annotation": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Pass", "_fields": {}}], "name": "injectee", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "injectee", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inject_into", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "InvalidAnnotation", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_invalid_annotation_declaring", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestErrors", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class TestErrors(TestCase): def setUp(self): self.injector = Injector() def test_duplicate_bindings(self): self.injector.bind('name').to_value('Luke') with self.assertRaises(BindingAlreadyExists): self.injector.bind('name').to_value('foo') def test_invalid_provider_chain(self): self.injector.bind('foo').to_class(Foo) with self.assertRaises(NoInnerProviderFound): self.injector.get_instance('foo') def test_invalid_binding_type(self): with self.assertRaises(InvalidBindingType): self.injector.bind('foo').to_class(foo_function) def test_binding_not_found(self): msg = None try: self.injector.inject_into(Foo) except InjectionFailed as e: msg = str(e) self.assertIn('BindingNotFound', msg) def test_annotation_not_found(self): self.injector.bind('profession').to_value('Jedi') def injectee(profession:'dark'): pass msg = None try: self.injector.inject_into(injectee) except InjectionFailed as e: msg = str(e) self.assertIn('AnnotationNotFound', msg) def test_annotation_already_registered(self): self.injector.bind('foo').annotated_with('first').to_class(Foo).as_singleton() with self.assertRaises(AnnotationAlreadyExists): self.injector.bind('foo').annotated_with('first').to_class(Foo).as_singleton() def test_invalid_annotation_mapping(self): with self.assertRaises(InvalidAnnotation): self.injector.bind('foo').annotated_with(int).to_class(Foo).as_singleton() def test_invalid_annotation_declaring(self): def injectee(profession:str): pass with self.assertRaises(InvalidAnnotation): self.injector.inject_into(injectee)
14,592
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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": [{"_type": "Constant", "_fields": {"kind": null, "value": "Jedi"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_value", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "profession"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "profession", "annotation": {"_type": "Constant", "_fields": {"kind": null, "value": "dark"}}, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Pass", "_fields": {}}], "name": "injectee", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "injectee", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inject_into", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "InjectionFailed", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "AnnotationNotFound"}}, {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_annotation_not_found", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_annotation_not_found(self): self.injector.bind('profession').to_value('Jedi') def injectee(profession:'dark'): pass msg = None try: self.injector.inject_into(injectee) except InjectionFailed as e: msg = str(e) self.assertIn('AnnotationNotFound', msg)
14,593
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13
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class TestAlternativeDeclaration(TestCase): def setUp(self): self.injector = Injector(use_argument_names=False) self.injector.bind('name').to_value('Luke') self.injector.bind('status').to_value('Alive') self.injector.bind('profession').to_value('Jedi') self.injector.bind('profession').annotated_with('dark').to_value('Sith') self.injector.bind('foo').to_class(Foo).as_singleton() self.injector.bind('another_foo').to_class(Foo).as_singleton() self.injector.bind('bar').to_class(Bar).as_prototype() self.injector.bind('foo_function').to_function(foo_function).as_singleton() self.injector.bind('bar_function').to_function(bar_function).as_prototype() def test_injection(self): def valid_injectee(item1:'profession:dark'): return item1 self.assertEqual(self.injector.inject_into(valid_injectee), 'Sith') def test_invalid_injection(self): def valid_injectee(foo, item1:'profession:dark'): return item1 with self.assertRaises(MissingDependencyDeclaration): self.assertEqual(self.injector.inject_into(valid_injectee), 'Sith')
14,594
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11
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class TestInheritance(TestCase): def setUp(self): self.injector = Injector() self.injector.bind('value').to_value('Indeed a value.') self.injector.bind('another_value').to_value('Wow! There is even another value.') def test_foo(self): sub_foo = self.injector.inject_into(SubFoo) self.assertEqual(sub_foo.value, 'Indeed a value.') self.assertEqual(sub_foo.another_value, 'Wow! There is even another value.')
14,595
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12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Injector", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_argument_names", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": 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[]}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_singleton", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_class", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_singleton", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_class", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "another_foo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": 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{"args": [{"_type": "Name", "_fields": {"id": "foo_function", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_function", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo_function"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "injector", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_prototype", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "bar_function", "ctx": 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def setUp(self): self.injector = Injector(use_argument_names=False) self.injector.bind('name').to_value('Luke') self.injector.bind('status').to_value('Alive') self.injector.bind('profession').to_value('Jedi') self.injector.bind('profession').annotated_with('dark').to_value('Sith') self.injector.bind('foo').to_class(Foo).as_singleton() self.injector.bind('another_foo').to_class(Foo).as_singleton() self.injector.bind('bar').to_class(Bar).as_prototype() self.injector.bind('foo_function').to_function(foo_function).as_singleton() self.injector.bind('bar_function').to_function(bar_function).as_prototype()
14,596
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10
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def parse_error(self, msg=None): error_msg = "Unknown error" try: # Azure does give some meaningful errors, but is inconsistent # Some APIs respond with an XML error. Others just dump HTML body = self.parse_body() # pylint: disable=no-member if type(body) == ET.Element: code = body.findtext(fixxpath(xpath="Code")) message = body.findtext(fixxpath(xpath="Message")) message = message.split("\n")[0] error_msg = "{}: {}".format(code, message) except MalformedResponseError: pass if msg: error_msg = "{} - {}".format(msg, error_msg) if self.status in [httplib.UNAUTHORIZED, httplib.FORBIDDEN]: raise InvalidCredsError(error_msg) raise LibcloudError("%s Status code: %d." % (error_msg, self.status), driver=self)
14,597
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class AzureResponse(XmlResponse): valid_response_codes = [ httplib.NOT_FOUND, httplib.CONFLICT, httplib.BAD_REQUEST, # added TEMPORARY_REDIRECT as this can sometimes be # sent by azure instead of a success or fail response httplib.TEMPORARY_REDIRECT, # Used by Azure Blobs range downloads httplib.PARTIAL_CONTENT, ] def success(self): i = int(self.status) return 200 <= i <= 299 or i in self.valid_response_codes def parse_error(self, msg=None): error_msg = "Unknown error" try: # Azure does give some meaningful errors, but is inconsistent # Some APIs respond with an XML error. Others just dump HTML body = self.parse_body() # pylint: disable=no-member if type(body) == ET.Element: code = body.findtext(fixxpath(xpath="Code")) message = body.findtext(fixxpath(xpath="Message")) message = message.split("\n")[0] error_msg = "{}: {}".format(code, message) except MalformedResponseError: pass if msg: error_msg = "{} - {}".format(msg, error_msg) if self.status in [httplib.UNAUTHORIZED, httplib.FORBIDDEN]: raise InvalidCredsError(error_msg) raise LibcloudError("%s Status code: %d." % (error_msg, self.status), driver=self) def parse_body(self): is_redirect = int(self.status) == httplib.TEMPORARY_REDIRECT if is_redirect and self.connection.driver.follow_redirects: raise AzureRedirectException(self) else: return super().parse_body()
14,598
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9
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def request( self, action, params=None, data=None, headers=None, method="GET", raw=False, stream=False, json=None, retry_failed=None, *kwargs, ): # Log in again if the token has expired or is going to expire soon # (next 5 minutes). if (time.time() + 300) >= int(self.expires_on): self.get_client_credentials() return super().request( action, params=params, data=data, headers=headers, method=method, raw=raw, stream=stream, json=json, retry_failed=retry_failed, )
14,599
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11
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def __init__( self, key, secret, secure=True, host=None, port=None, tenant_id=None, identity=None, cloud_environment="default", **kwargs, ): super().__init__(identity, secret, **kwargs) if isinstance(cloud_environment, basestring): cloud_environment = publicEnvironments[cloud_environment] if not isinstance(cloud_environment, dict): raise Exception( "cloud_environment must be one of '%s' or a dict " "containing keys 'resourceManagerEndpointUrl', " "'activeDirectoryEndpointUrl', " "'activeDirectoryResourceId', " "'storageEndpointSuffix'" % ("', '".join(publicEnvironments.keys())) ) self.login_host = urlparse.urlparse( cloud_environment["activeDirectoryEndpointUrl"] ).hostname self.login_resource = cloud_environment["activeDirectoryResourceId"] self.host = host self.identity = identity self.tenant_id = tenant_id self.storage_account_id = key
14,600
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8
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def pre_connect_hook(self, params, headers): headers = copy.deepcopy(headers) # We have to add a date header in GMT headers["x-ms-date"] = time.strftime(AZURE_TIME_FORMAT, time.gmtime()) headers["x-ms-version"] = self.API_VERSION # Add the authorization header headers["Authorization"] = self._get_azure_auth_signature( method=self.method, headers=headers, params=params, account=self.user_id, secret_key=self.key, path=self.action, ) # Azure cribs about this in 'raw' connections headers.pop("Host", None) return params, headers