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train · 13.6M rows

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id int64 0 10.8M	vector listlengths 1.54k 1.54k	ast_depth int64 3 164	ast_data stringlengths 297 510k	code stringlengths 60 56.5k
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seq_length", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_labels", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "create_and_check_for_token_classification", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def create_and_check_for_token_classification( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): config.num_labels = self.num_labels model = RoCBertForTokenClassification(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids=input_shape_ids, input_pronunciation_ids=input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=token_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.num_labels))
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{"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_choices", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "create_and_check_for_multiple_choice", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def create_and_check_for_multiple_choice( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): config.num_choices = self.num_choices model = RoCBertForMultipleChoice(config=config) model.to(torch_device) model.eval() multiple_choice_inputs_ids = input_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() multiple_choice_inputs_shape_ids = input_shape_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() multiple_choice_inputs_pronunciation_ids = ( input_pronunciation_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() ) multiple_choice_token_type_ids = token_type_ids.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() multiple_choice_input_mask = input_mask.unsqueeze(1).expand(-1, self.num_choices, -1).contiguous() result = model( multiple_choice_inputs_ids, input_shape_ids=multiple_choice_inputs_shape_ids, input_pronunciation_ids=multiple_choice_inputs_pronunciation_ids, attention_mask=multiple_choice_input_mask, token_type_ids=multiple_choice_token_type_ids, labels=choice_labels, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_choices))
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create_and_check_for_pretraining( self, config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, ): model = RoCBertForPreTraining(config=config) model.to(torch_device) model.eval() result = model( input_ids, input_shape_ids, input_pronunciation_ids, attention_mask=input_mask, token_type_ids=token_type_ids, attack_input_ids=input_ids, attack_input_shape_ids=input_shape_ids, attack_input_pronunciation_ids=input_pronunciation_ids, attack_attention_mask=input_mask, attack_token_type_ids=token_type_ids, labels_input_ids=token_labels, labels_input_shape_ids=input_shape_ids, labels_input_pronunciation_ids=input_pronunciation_ids, labels_attention_mask=input_mask, labels_token_type_ids=token_type_ids, ) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
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"decorator_list": [{"_type": "Name", "_fields": {"id": "slow", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "RoCBertModelTest", "bases": [{"_type": "Name", "_fields": {"id": "ModelTesterMixin", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class RoCBertModelTest(ModelTesterMixin, unittest.TestCase): all_model_classes = ( ( RoCBertModel, RoCBertForMaskedLM, RoCBertForCausalLM, RoCBertForMultipleChoice, RoCBertForQuestionAnswering, RoCBertForSequenceClassification, RoCBertForTokenClassification, RoCBertForPreTraining, ) if is_torch_available() else () ) all_generative_model_classes = (RoCBertForCausalLM,) if is_torch_available() else () # special case for ForPreTraining model def _prepare_for_class(self, inputs_dict, model_class, return_labels=False): inputs_dict = super()._prepare_for_class(inputs_dict, model_class, return_labels=return_labels) if return_labels: if model_class in get_values(MODEL_FOR_PRETRAINING_MAPPING): inputs_dict["labels_input_ids"] = torch.zeros( (self.model_tester.batch_size, self.model_tester.seq_length), dtype=torch.long, device=torch_device ) inputs_dict["labels_input_shape_ids"] = torch.zeros( (self.model_tester.batch_size, self.model_tester.seq_length), dtype=torch.long, device=torch_device ) inputs_dict["labels_input_pronunciation_ids"] = torch.zeros( (self.model_tester.batch_size, self.model_tester.seq_length), dtype=torch.long, device=torch_device ) inputs_dict["attack_input_ids"] = torch.zeros( (self.model_tester.batch_size, self.model_tester.seq_length), dtype=torch.long, device=torch_device ) inputs_dict["attack_input_shape_ids"] = torch.zeros( (self.model_tester.batch_size, self.model_tester.seq_length), dtype=torch.long, device=torch_device ) inputs_dict["attack_input_pronunciation_ids"] = torch.zeros( (self.model_tester.batch_size, self.model_tester.seq_length), dtype=torch.long, device=torch_device ) return inputs_dict def setUp(self): self.model_tester = RoCBertModelTester(self) self.config_tester = ConfigTester(self, config_class=RoCBertConfig, hidden_size=37) def test_config(self): self.config_tester.run_common_tests() def test_model(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_model(config_and_inputs) def test_model_various_embeddings(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() for type in ["absolute", "relative_key", "relative_key_query"]: config_and_inputs[0].position_embedding_type = type self.model_tester.create_and_check_model(config_and_inputs) def test_for_masked_lm(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_for_masked_lm(config_and_inputs) def test_for_multiple_choice(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_for_multiple_choice(config_and_inputs) def test_decoder_model_past_with_large_inputs(self): config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder() self.model_tester.create_and_check_decoder_model_past_large_inputs(config_and_inputs) def test_decoder_model_past_with_large_inputs_relative_pos_emb(self): config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder() config_and_inputs[0].position_embedding_type = "relative_key" self.model_tester.create_and_check_decoder_model_past_large_inputs(config_and_inputs) def test_for_question_answering(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_for_question_answering(config_and_inputs) def test_for_sequence_classification(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_for_sequence_classification(config_and_inputs) def test_for_token_classification(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_for_token_classification(config_and_inputs) def test_for_pretraining(self): config_and_inputs = self.model_tester.prepare_config_and_inputs() self.model_tester.create_and_check_for_pretraining(config_and_inputs) def test_model_as_decoder(self): config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder() self.model_tester.create_and_check_model_as_decoder(*config_and_inputs) def test_model_as_decoder_with_default_input_mask(self): # This regression test was failing with PyTorch < 1.3 ( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ) = self.model_tester.prepare_config_and_inputs_for_decoder() input_mask = None self.model_tester.create_and_check_model_as_decoder( config, input_ids, input_shape_ids, input_pronunciation_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, encoder_hidden_states, encoder_attention_mask, ) @slow def test_model_from_pretrained(self): for model_name in ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]: model = RoCBertModel.from_pretrained(model_name) self.assertIsNotNone(model)
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"_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_inference_masked_lm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "slow", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "RoCBertModelIntegrationTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class RoCBertModelIntegrationTest(unittest.TestCase): @slow def test_inference_masked_lm(self): model = RoCBertForMaskedLM.from_pretrained("weiweishi/roc-bert-base-zh") # input_text: ['[CLS]', 'b', 'a', '里', '系', '[MASK]', '国', '的', '首', '都', '[SEP]'] is the adversarial text # of ['[CLS]', '巴', '黎', '是', '[MASK]', '国', '的', '首', '都', '[SEP]'], means # "Paris is the [MASK] of France" in English input_ids = torch.tensor([[101, 144, 143, 7027, 5143, 103, 1744, 4638, 7674, 6963, 102]]) input_shape_ids = torch.tensor([[2, 20324, 23690, 8740, 706, 1, 10900, 23343, 20205, 5850, 2]]) input_pronunciation_ids = torch.tensor([[2, 718, 397, 52, 61, 1, 168, 273, 180, 243, 2]]) output = model(input_ids, input_shape_ids, input_pronunciation_ids) output_ids = torch.argmax(output.logits, dim=2) # convert to tokens is: ['[CLS]', '巴', '*', '黎', '是', '法', '国', '的', '首', '都', '[SEP]'] expected_output = torch.tensor([[101, 2349, 115, 7944, 3221, 3791, 1744, 4638, 7674, 6963, 102]]) self.assertEqual(output_ids, expected_output)
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"Name", "_fields": {"id": "expected_output", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_inference_masked_lm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_inference_masked_lm(self): model = RoCBertForMaskedLM.from_pretrained("weiweishi/roc-bert-base-zh") # input_text: ['[CLS]', 'b', 'a', '里', '系', '[MASK]', '国', '的', '首', '都', '[SEP]'] is the adversarial text # of ['[CLS]', '巴', '黎', '是', '[MASK]', '国', '的', '首', '都', '[SEP]'], means # "Paris is the [MASK] of France" in English input_ids = torch.tensor([[101, 144, 143, 7027, 5143, 103, 1744, 4638, 7674, 6963, 102]]) input_shape_ids = torch.tensor([[2, 20324, 23690, 8740, 706, 1, 10900, 23343, 20205, 5850, 2]]) input_pronunciation_ids = torch.tensor([[2, 718, 397, 52, 61, 1, 168, 273, 180, 243, 2]]) output = model(input_ids, input_shape_ids, input_pronunciation_ids) output_ids = torch.argmax(output.logits, dim=2) # convert to tokens is: ['[CLS]', '巴', '*', '黎', '是', '法', '国', '的', '首', '都', '[SEP]'] expected_output = torch.tensor([[101, 2349, 115, 7944, 3221, 3791, 1744, 4638, 7674, 6963, 102]]) self.assertEqual(output_ids, expected_output)
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{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "replay", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "run", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def run(replay, log=None): if not replay: log = StringIO() else: log = StringIO(log) record = Record(replay=replay, file_object=log) disturb_mem.disturb_mem() mode = RecordMode(record=record) b = sharedX(np.zeros((2,)), name='b') channels = OrderedDict() disturb_mem.disturb_mem() v_max = b.max(axis=0) v_min = b.min(axis=0) v_range = v_max - v_min updates = [] for i, val in enumerate([ v_max.max(), v_max.min(), v_range.max(), ]): disturb_mem.disturb_mem() s = sharedX(0., name='s_' + str(i)) updates.append((s, val)) for var in theano.gof.graph.ancestors(update for _, update in updates): if var.name is not None and var.name is not 'b': if var.name[0] != 's' or len(var.name) != 2: var.name = None for key in channels: updates.append((s, channels[key])) f = theano.function([], mode=mode, updates=updates, on_unused_input='ignore', name='f') for output in f.maker.fgraph.outputs: mode.record.handle_line(var_descriptor(output) + '\n') disturb_mem.disturb_mem() f() mode.record.f.flush() if not replay: return log.getvalue()
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "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": "run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "testDirectoryInDirectory", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "broken", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mark", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "ticket", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "12566"}}}}]}}, {"_type": "Name", "_fields": {"id": "with_driver", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "TestMonitor", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class TestMonitor(object): def teardown_method(self, method): MockMonitor.static_stop() def testBadId(self): with pytest.raises(omero.ApiUsageException): MockMonitor().fsEventHappened('foo', []) def testBadFileId(self): # Could cause infinite loop with pytest.raises(omero.ApiUsageException): MockMonitor().fsEventHappened('', [monitors.EventInfo()]) def testEmptyAdd(self): MockMonitor().fsEventHappened('', []) # Does nothing. @pytest.mark.broken(ticket="12566") @with_driver def testBasicAdd(self): self.driver.add(DirInfoEvent(1, monitors.EventInfo( self.dir / "root" / "dirtimeout", monitors.EventType.Create))) self.driver.run() @pytest.mark.broken(ticket="12566") @with_driver def testWithSingleImport(self): f = self.dir / "root" / "file" self.client.files = {str(f): [str(f)]} self.driver.add(DirInfoEvent(0, monitors.EventInfo( self.dir / "root" / "file", monitors.EventType.Create))) self.driver.run() time.sleep(0.25) @pytest.mark.broken(ticket="12566") @with_driver def testWithMultiImport(self): f1 = str(self.dir / "root" / "file1") f2 = str(self.dir / "root" / "file2") f3 = str(self.dir / "root" / "file3") f4 = str(self.dir / "root" / "file4") self.client.files = {f1: [f1, f2, f3, f4]} self.client.setDirImportWait(1) self.driver.add(DirInfoEvent(0.0, monitors.EventInfo( f1, monitors.EventType.Create))) self.driver.add(DirInfoEvent(100, monitors.EventInfo( f2, monitors.EventType.Create))) self.driver.add(DirInfoEvent(200, monitors.EventInfo( f3, monitors.EventType.Create))) self.driver.add(DirInfoEvent(300, monitors.EventInfo( f4, monitors.EventType.Create))) time.sleep(1) self.driver.run() @pytest.mark.broken(ticket="12566") @with_driver def testDirectoryInDirectory(self): self.driver.add(DirInfoEvent(1, monitors.EventInfo( self.dir / "root" / "dir", monitors.EventType.Create))) self.driver.add(DirInfoEvent(1, monitors.EventInfo( self.dir / "root" / "dir" / "dir", monitors.EventType.Create))) self.driver.run()
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 300}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f4", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Create", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "EventType", "value": {"_type": "Name", "_fields": {"id": "monitors", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "EventInfo", "value": {"_type": "Name", "_fields": {"id": "monitors", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "DirInfoEvent", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sleep", "value": {"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "testWithMultiImport", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testWithMultiImport(self): f1 = str(self.dir / "root" / "file1") f2 = str(self.dir / "root" / "file2") f3 = str(self.dir / "root" / "file3") f4 = str(self.dir / "root" / "file4") self.client.files = {f1: [f1, f2, f3, f4]} self.client.setDirImportWait(1) self.driver.add(DirInfoEvent(0.0, monitors.EventInfo( f1, monitors.EventType.Create))) self.driver.add(DirInfoEvent(100, monitors.EventInfo( f2, monitors.EventType.Create))) self.driver.add(DirInfoEvent(200, monitors.EventInfo( f3, monitors.EventType.Create))) self.driver.add(DirInfoEvent(300, monitors.EventInfo( f4, monitors.EventType.Create))) time.sleep(1) self.driver.run()
14,411	[ -0.017283275723457336, -0.0030693532899022102, 0.03027242235839367, -0.019133783876895905, -0.0061861551366746426, -0.009222887456417084, 0.03361757472157478, 0.044269859790802, -0.0013804675545543432, 0.08080554008483887, -0.01013627927750349, -0.04472062364220619, 0.05176679044961929, 0....	13	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "candidate", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "prefix", "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": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "set_route"}}, {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "invoke", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "candidate", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "parents", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "default"}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "candidate", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "parents", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf context {0}"}}}}, "keywords": []}}]}}}}]}}}}]}}], "test": {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "name": "state_present", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def state_present(module, candidate, prefix): commands = list() invoke('set_route', module, commands, prefix) if commands: if module.params['vrf'] == 'default': candidate.add(commands, parents=[]) else: candidate.add(commands, parents=['vrf context {0}'.format(module.params['vrf'])])
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"tag"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pref"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "route_name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "next_hop"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "key_map", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_config", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "netcfg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf context {0}"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "parents", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "fix_prefix_to_regex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "prefix_to_regex", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "prefix_to_regex", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ".ip\\sroute\\s{0}\\s(?P<next_hop>\\S+)(\\sname\\s(?P<route_name>\\S+))?(\\stag\\s(?P<tag>\\d+))?(\\s(?P<pref>\\d+))."}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "route_regex", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "netcfg", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "default"}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parents", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_section", "value": {"_type": "Name", "_fields": {"id": "netcfg", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "route_regex", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DOTALL", "value": {"_type": "Name", "_fields": {"id": "re", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "match", "value": {"_type": "Name", "_fields": {"id": "re", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "match_route", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "groupdict", "value": {"_type": "Name", "_fields": {"id": "match_route", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "key_map", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "prefix"}}, "value": {"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "finalbody": []}}], "test": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "VRF {0} didn't exist."}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "group_route", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "get_existing", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def get_existing(module, prefix, warnings): key_map = ['tag', 'pref', 'route_name', 'next_hop'] netcfg = get_config(module) parents = 'vrf context {0}'.format(module.params['vrf']) prefix_to_regex = fix_prefix_to_regex(prefix) route_regex = ('.ip\sroute\s{0}\s(?P<next_hop>\S+)(\sname\s(?P<route_name>\S+))?' '(\stag\s(?P<tag>\d+))?(\s(?P<pref>\d+)).'.format(prefix_to_regex)) if module.params['vrf'] == 'default': config = str(netcfg) else: config = netcfg.get_section(parents) if config: try: match_route = re.match(route_regex, config, re.DOTALL) group_route = match_route.groupdict() for key in key_map: if key not in group_route: group_route[key] = '' group_route['prefix'] = prefix group_route['vrf'] = module.params['vrf'] except (AttributeError, TypeError): group_route = {} else: group_route = {} msg = ("VRF {0} didn't exist.".format(module.params['vrf'])) if msg not in warnings: warnings.append(msg) return group_route
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"func": {"_type": "Name", "_fields": {"id": "get_config", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "netcfg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "vrf context {0}"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "parents", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "set_route"}}, {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "invoke", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": 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null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "splitted_config", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "splitted_config", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "map", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "splitted_config", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "remove_route"}}, {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "invoke", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "candidate", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "parents", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "parents", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "splitted_config", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}]}}], "name": "state_absent", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def state_absent(module, candidate, prefix): netcfg = get_config(module) commands = list() parents = 'vrf context {0}'.format(module.params['vrf']) invoke('set_route', module, commands, prefix) if module.params['vrf'] == 'default': config = netcfg.get_section(commands[0]) if config: invoke('remove_route', module, commands, config, prefix) candidate.add(commands, parents=[]) else: config = netcfg.get_section(parents) splitted_config = config.split('\n') splitted_config = map(str.strip, splitted_config) if commands[0] in splitted_config: invoke('remove_route', module, commands, config, prefix) candidate.add(commands, parents=[parents])
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "address", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "octects", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Incorrect address format."}}}}, {"_type": "keyword", "_fields": {"arg": "address", "value": {"_type": "Name", "_fields": {"id": "address", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "octects", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Address may contain invalid values."}}}}, {"_type": "keyword", "_fields": {"arg": 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"module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Mask may contain non-integer values."}}}}, {"_type": "keyword", "_fields": {"arg": "mask", "value": {"_type": "Name", "_fields": {"id": "mask", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mask", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "get_dotted_mask", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "netmask", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "address", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "netmask", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_network_start", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "."}}}}, "keywords": []}}}}], "name": "network_from_string", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def network_from_string(address, mask, module): octects = address.split('.') if len(octects) > 4: module.fail_json(msg='Incorrect address format.', address=address) for octect in octects: try: if int(octect) < 0 or int(octect) > 255: module.fail_json(msg='Address may contain invalid values.', address=address) except ValueError: module.fail_json(msg='Address may contain non-integer values.', address=address) try: if int(mask) < 0 or int(mask) > 32: module.fail_json(msg='Incorrect mask value.', mask=mask) except ValueError: module.fail_json(msg='Mask may contain non-integer values.', mask=mask) netmask = get_dotted_mask(int(mask)) return '.'.join(get_network_start(address, netmask))
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{"_type": "Add", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tag"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": " tag {0}"}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "route_cmd", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tag"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "pref"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": " {0}"}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "route_cmd", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "pref"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "route_cmd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "commands", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "set_route", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def set_route(module, commands, prefix): route_cmd = 'ip route {0} {1}'.format(prefix, module.params['next_hop']) if module.params['route_name']: route_cmd += ' name {0}'.format(module.params['route_name']) if module.params['tag']: route_cmd += ' tag {0}'.format(module.params['tag']) if module.params['pref']: route_cmd += ' {0}'.format(module.params['pref']) commands.append(route_cmd)
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{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "network", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "/"}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mask", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "normalized_prefix", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "splitted_prefix", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "prefix", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "/"}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 32}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "normalized_prefix", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "normalized_prefix", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "normalize_prefix", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def normalize_prefix(module, prefix): splitted_prefix = prefix.split('/') address = splitted_prefix[0] if len(splitted_prefix) > 2: module.fail_json(msg='Incorrect address format.', address=address) elif len(splitted_prefix) == 2: mask = splitted_prefix[1] network = network_from_string(address, mask, module) normalized_prefix = str(network) + '/' + str(mask) else: normalized_prefix = prefix + '/' + str(32) return normalized_prefix
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config=dict(), save=dict(type='bool', default=False) ) argument_spec.update(nxos_argument_spec) module = AnsibleModule(argument_spec=argument_spec, supports_check_mode=True) warnings = list() check_args(module, warnings) state = module.params['state'] result = dict(changed=False) warnings = list() prefix = invoke('normalize_prefix', module, module.params['prefix']) existing = invoke('get_existing', module, prefix, warnings) end_state = existing args = ['route_name', 'vrf', 'pref', 'tag', 'next_hop', 'prefix'] proposed = dict((k, v) for k, v in module.params.items() if v is not None and k in args) if state == 'present' or (state == 'absent' and existing): candidate = CustomNetworkConfig(indent=3) invoke('state_%s' % state, module, candidate, prefix) load_config(module, candidate) else: result['updates'] = [] result['warnings'] = warnings if module._verbosity > 0: end_state = invoke('get_existing', module, prefix, warnings) result['end_state'] = end_state result['existing'] = existing result['proposed'] = proposed module.exit_json(**result)
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{}}}}]}}], "name": "RouteState", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class RouteState(object): def __init__(self, request): self._prefixes = () # matched subdomain with aliases replaced by their main value self.primary_subdomains = () # tuple to be sure it's readonly self.primary_domain = '' # remaining subdomain part for match self._domain = request.host.split(':', 1)[0].decode('idna') self.subdomain = self._domain self.request = request def __copy__(self): copy = object.__new__(type(self)) copy.__dict__.update(self.__dict__) return copy def add_prefix(self, prefix): self = self.__copy__() self._prefixes += (prefix,) return self def add_subdomain(self, subdomain, alias_matched): self = self.__copy__() if subdomain: self.primary_subdomains = (subdomain, ) + self.primary_subdomains self.primary_domain = '.'.join(self.primary_subdomains) if alias_matched: self.subdomain = self.subdomain[:-len(alias_matched)].rstrip('.') return self @property def path(self): path = self.request.path if self._prefixes: length = sum(map(len, self._prefixes)) path = path[length:] return path
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{}}}}}}, {"_type": "keyword", "_fields": {"arg": "secret", "value": {"_type": "Name", "_fields": {"id": "CONSUMER_SECRET", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "consumer", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Token", "value": {"_type": "Name", "_fields": {"id": "oauth", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "key", "value": {"_type": "Name", "_fields": {"id": "ACCESS_TOKEN_KEY", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "secret", "value": {"_type": "Name", "_fields": {"id": "ACCESS_TOKEN_SECRET", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": 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{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "timestamp_ms", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "id_str", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n INSERT INTO tweets (id_str, lang, text, created_at, timestamp_ms)\n VALUES (%s, %s, %s, %s, %s)\n "}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "id_str", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "lang", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "created_at", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "timestamp_ms", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Pass", "_fields": {}}], "name": "streaming", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def streaming(): consumer = oauth.Consumer(key=CONSUMER_KEY, secret=CONSUMER_SECRET) token = oauth.Token(key=ACCESS_TOKEN_KEY, secret=ACCESS_TOKEN_SECRET) request = oauth.Request.from_consumer_and_token(consumer, token, http_url=TWITTER_URL) request.sign_request(oauth.SignatureMethod_HMAC_SHA1(), consumer, token) res = urllib2.urlopen(request.to_url()) for r in res: data = json.loads(r) if data.has_key('delete'): continue if not data.has_key('lang'): continue lang = data['lang'] if lang == 'ja': pass elif lang == 'en': pass else: continue id_str = data['id_str'] lang = data['lang'] text = data['text'] created_at = data['created_at'] timestamp_ms = int(data['timestamp_ms']) print(id_str) # print(timestamp_ms) session.execute( """ INSERT INTO tweets (id_str, lang, text, created_at, timestamp_ms) VALUES (%s, %s, %s, %s, %s) """, (id_str, lang, text, created_at, timestamp_ms) ) pass
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preproc=[]): super(MNIST, self).__init__(preproc) _logger.info("Loading MNIST data") fname = datapath(fname) if fname[-3:] == ".gz": open_func = gzip.open else: open_func = open with open_func(fname) as f: (train_x, train_y), (valid_x, valid_y), (test_x, test_y) = pickle.load(f) if which_set == 'train': self.X, self.Y = self.prepare(train_x, train_y, n_datapoints) elif which_set == 'valid': self.X, self.Y = self.prepare(valid_x, valid_y, n_datapoints) elif which_set == 'test': self.X, self.Y = self.prepare(test_x, test_y, n_datapoints) elif which_set == 'salakhutdinov_train': train_x = np.concatenate([train_x, valid_x]) train_y = np.concatenate([train_y, valid_y]) self.X, self.Y = self.prepare(train_x, train_y, n_datapoints) elif which_set == 'salakhutdinov_valid': train_x = np.concatenate([train_x, valid_x])[::-1] train_y = np.concatenate([train_y, valid_y])[::-1] self.X, self.Y = self.prepare(train_x, train_y, n_datapoints) else: raise ValueError("Unknown dataset %s" % which_set) self.n_datapoints = self.X.shape[0] def prepare(self, x, y, n_datapoints): N = x.shape[0] assert N == y.shape[0] if n_datapoints is not None: N = n_datapoints x = x[:N] y = y[:N] one_hot = np.zeros((N, 10), dtype=floatX) for n in xrange(N): one_hot[n, y[n]] = 1. return x.astype(floatX), one_hot.astype(floatX)
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"type_ignores": []}}	def basic_info(data,meta,rescale=True,rotate=False,user_peak=0,nonlinear=None): print('in basic_info') #from . import read_grid,parse_inp,read_inp,show dims = data.shape ndims = len(dims) mxg = meta['MXG']['v'] if ndims ==4: nt,nx,ny,nz = data.shape print(nt,nx,ny) else: print("something with dimesions") dc = data.mean(1).mean(1).mean(1) # there MUST be a way to indicate all axis at once amp = abs(data).max(1).max(1).max(1) dt = meta['dt']['v'] if rescale: amp_o = amp - dc fourDamp = np.repeat(amp_o,nxnynz) fourDamp = fourDamp.reshape(nt,nx,ny,nz) dc_n = old_div(dc,amp_o) data_n = old_div(data,fourDamp) print(data.shape) dfdt = np.gradient(data)[0] dfdt = abs(dfdt).max(1).max(1).max(1) ave = {'amp':amp,'dc':dc,'amp_o':amp_o,'dfdt':dfdt} else: print("no rescaling") ave = {'amp':amp,'dc':dc} if nonlinear != None: #add nonlinear part if user provides nl = abs(nonlinear[:,mxg:-1.0mxg,:,:]).max(1).max(1).max(1) nl_norm = (old_div(nl,dfdt)) dt ave['nl'] =nl ave['nl_norm'] = nl_norm if rotate: print('rotate stuff') # will need to provide some grid geometry to do this one else: print('or not') #let's identify the dominant modes, for now at every [t,x] slice #if the data set is too large we can average over x peaks_db = fft_info(data,user_peak,meta=meta) #Nt X Nx X (# of loc. max) list of dict #print peaks[0]['gamma'] return peaks_db,ave
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{"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "floatX", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "astype", "value": {"_type": "Name", "_fields": {"id": "one_hot", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}], "name": "prepare", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def prepare(self, x, y, n_datapoints): N = x.shape[0] assert N == y.shape[0] if n_datapoints is not None: N = n_datapoints x = x[:N] y = y[:N] one_hot = np.zeros((N, 10), dtype=floatX) for n in xrange(N): one_hot[n, y[n]] = 1. return x.astype(floatX), one_hot.astype(floatX)
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"comparators": [{"_type": "Dict", "_fields": {"keys": [], "values": []}}]}}}}], "name": "test_matches_basic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_matches_basic(): instances = [Basic(b1, b1, b2), Basic(b1, b2, b1), Basic(b2, b1, b1), Basic(b1, b2), Basic(b2, b1), b2, b1] for i, b_i in enumerate(instances): for j, b_j in enumerate(instances): if i == j: assert b_i.matches(b_j) == {} else: assert b_i.matches(b_j) is None assert b1.match(b1) == {}
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"_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}}}], "name": "test_equality", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_equality(): instances = [b1, b2, b3, b21, Basic(b1, b1, b1), Basic] for i, b_i in enumerate(instances): for j, b_j in enumerate(instances): assert (b_i == b_j) == (i == j) assert (b_i != b_j) == (i != j) assert Basic() != [] assert not(Basic() == []) assert Basic() != 0 assert not(Basic() == 0)
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"value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "b3", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "values": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "bad arg"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b3", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subs", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_subs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_subs(): assert b21.subs(b2, b1) == Basic(b1, b1) assert b21.subs(b2, b21) == Basic(b21, b1) assert b3.subs(b2, b1) == b2 assert b21.subs([(b2, b1), (b1, b2)]) == Basic(b2, b2) assert b21.subs({b1: b2, b2: b1}) == Basic(b2, b2) raises(ValueError, lambda: b21.subs('bad arg')) raises(ValueError, lambda: b21.subs(b1, b2, b3))
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "values": [{"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b21", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "values": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Name", "_fields": {"id": "b3", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "values": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "values": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Atom", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Atom", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Atom", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "values": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Atom", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b2", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xreplace", "value": {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_xreplace", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_xreplace(): assert b21.xreplace({b2: b1}) == Basic(b1, b1) assert b21.xreplace({b2: b21}) == Basic(b21, b1) assert b3.xreplace({b2: b1}) == b2 assert Basic(b1, b2).xreplace({b1: b2, b2: b1}) == Basic(b2, b1) assert Atom(b1).xreplace({b1: b2}) == Atom(b1) assert Atom(b1).xreplace({Atom(b1): b2}) == b2 raises(TypeError, lambda: b1.xreplace()) raises(TypeError, lambda: b1.xreplace([b1, b2]))
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"MySingleton", "bases": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Singleton", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "Basic", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "with_metaclass", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "instantiated", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "MySingleton", "ctx": {"_type": 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"_fields": {"id": "MySingleton_sub", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "name": "test_Singleton", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_Singleton(): global instantiated instantiated = 0 class MySingleton(with_metaclass(Singleton, Basic)): def __new__(cls): global instantiated instantiated += 1 return Basic.__new__(cls) assert instantiated == 1 assert MySingleton() is not Basic() assert MySingleton() is MySingleton() assert S.MySingleton is MySingleton() assert instantiated == 1 class MySingleton_sub(MySingleton): pass assert instantiated == 2 assert MySingleton_sub() is not MySingleton() assert MySingleton_sub() is MySingleton_sub()
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('d', 'ef'), 'd', 'ef'] result = [] pt = preorder_traversal(expr) for i in pt: result.append(i) if i == b2: pt.skip() assert result == [expr, b21, b2, b1, b3, b2] w, x, y, z = symbols('w:z') expr = z + w(x + y) assert list(preorder_traversal([expr], keys=default_sort_key)) == \ [[w(x + y) + z], w(x + y) + z, z, w(x + y), w, x + y, x, y] assert list(preorder_traversal((x + y)z, keys=True)) == \ [z(x + y), z, x + y, x, y]
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{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rcall", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "right": {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rcall", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rcall", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "BitAnd", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "real", "value": {"_type": "Name", "_fields": {"id": "Q", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "positive", "value": {"_type": "Name", "_fields": {"id": "Q", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "BitAnd", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "real", "value": {"_type": "Name", "_fields": {"id": "Q", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "positive", "value": {"_type": "Name", "_fields": {"id": "Q", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}}}], "name": "test_call", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_call(): x, y = symbols('x y') # See the long history of this in issues 5026 and 5105. raises(TypeError, lambda: sin(x)({ x : 1, sin(x) : 2})) raises(TypeError, lambda: sin(x)(1)) # No effect as there are no callables assert sin(x).rcall(1) == sin(x) assert (1 + sin(x)).rcall(1) == 1 + sin(x) # Effect in the pressence of callables l = Lambda(x, 2x) assert (l + x).rcall(y) == 2y + x assert (xl).rcall(2) == x4 # TODO UndefinedFunction does not subclass Expr #f = Function('f') #assert (2f)(x) == 2f(x) assert (Q.real & Q.positive).rcall(x) == Q.real(x) & Q.positive(x)
14,433	[ 0.07399525493383408, -0.0012415357632562518, 0.05920508876442909, -0.037575021386146545, 0.03344443440437317, -0.017166366800665855, 0.025338711217045784, -0.001319955918006599, 0.019031792879104614, 0.01443484891206026, -0.012158583849668503, 0.018254531547427177, 0.012158583849668503, -0...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "TEXT"}}, "targets": [{"_type": "Name", "_fields": {"id": "TEXT", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "textPayload"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "resource"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "logName"}}], "values": [{"_type": "Name", "_fields": {"id": "TEXT", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "type"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "global"}}]}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "projects/%s/logs/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOGGER_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ENTRY", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "entries"}}], "values": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ENTRY", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": 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null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ENTRY", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write_entries", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "POST"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_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": "WRITE_ENTRIES_PATH", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_write_entries_single", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_write_entries_single(self): TEXT = 'TEXT' ENTRY = { 'textPayload': TEXT, 'resource': { 'type': 'global', }, 'logName': 'projects/%s/logs/%s' % ( self.PROJECT, self.LOGGER_NAME), } SENT = { 'entries': [ENTRY], } conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.write_entries([ENTRY]) self.assertEqual(conn._called_with['method'], 'POST') path = '/%s' % self.WRITE_ENTRIES_PATH self.assertEqual(conn._called_with['path'], path) self.assertEqual(conn._called_with['data'], SENT)
14,434	[ 0.04888523742556572, -0.0027449082117527723, 0.06065816059708595, -0.04520619660615921, 0.023189445957541466, -0.008841191418468952, 0.02837459184229374, -0.015900349244475365, 0.0126581946387887, 0.024097707122564316, -0.007059156894683838, 0.00877795834094286, -0.013198553584516048, -0.0...	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": "Constant", "_fields": {"kind": null, "value": "TEXT"}}, "targets": [{"_type": "Name", "_fields": {"id": "TEXT", "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": "projects/%s/logs/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOGGER_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "LOG_NAME", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "type"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "global"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "RESOURCE", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "baz"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "spam"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "qux"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "eggs"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "LABELS", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "textPayload"}}], "values": [{"_type": "Name", "_fields": {"id": "TEXT", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ENTRY1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "jsonPayload"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "bar"}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ENTRY2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "logName"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "resource"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "labels"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "entries"}}], "values": [{"_type": "Name", "_fields": {"id": "LOG_NAME", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "RESOURCE", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "LABELS", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ENTRY1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ENTRY2", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ENTRY1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ENTRY2", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Name", "_fields": {"id": "LOG_NAME", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "RESOURCE", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "LABELS", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write_entries", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "POST"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_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": "WRITE_ENTRIES_PATH", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_write_entries_multiple", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_write_entries_multiple(self): TEXT = 'TEXT' LOG_NAME = 'projects/%s/logs/%s' % (self.PROJECT, self.LOGGER_NAME) RESOURCE = { 'type': 'global', } LABELS = { 'baz': 'qux', 'spam': 'eggs', } ENTRY1 = { 'textPayload': TEXT, } ENTRY2 = { 'jsonPayload': {'foo': 'bar'}, } SENT = { 'logName': LOG_NAME, 'resource': RESOURCE, 'labels': LABELS, 'entries': [ENTRY1, ENTRY2], } conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.write_entries([ENTRY1, ENTRY2], LOG_NAME, RESOURCE, LABELS) self.assertEqual(conn._called_with['method'], 'POST') path = '/%s' % self.WRITE_ENTRIES_PATH self.assertEqual(conn._called_with['path'], path) self.assertEqual(conn._called_with['data'], SENT)
14,435	[ 0.04221932217478752, 0.011905848979949951, 0.02786475233733654, -0.07688138633966446, 0.009926818311214447, 0.03696301579475403, 0.016486644744873047, 0.016877174377441406, 0.04627237468957901, 0.019526436924934387, 0.009214366786181927, -0.02645040489733219, -0.01471343357115984, -0.04335...	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": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/logs/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOGGER_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOGGER_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "logger_delete", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "DELETE"}}], "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_logger_delete", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_logger_delete(self): path = '/projects/%s/logs/%s' % (self.PROJECT, self.LOGGER_NAME) conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.logger_delete(self.PROJECT, self.LOGGER_NAME) self.assertEqual(conn._called_with['method'], 'DELETE') self.assertEqual(conn._called_with['path'], path)
14,436	[ -0.0480707585811615, -0.0057499464601278305, 0.033668797463178635, -0.017713448032736778, 0.024541134014725685, -0.010903825052082539, -0.028948422521352768, 0.031212275847792625, 0.0017972346395254135, -0.015473677776753902, 0.0076585677452385426, -0.02192806825041771, -0.027069905772805214...	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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "destination"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_PATH", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESTINATION_URI", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "RESPONSE", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "RESPONSE", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sink_get", "value": {"_type": "Name", "_fields": {"id": "api", "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": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "RESPONSE", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "GET"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/sinks/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_sink_get_hit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sink_get_hit(self): RESPONSE = { 'name': self.SINK_PATH, 'filter': self.FILTER, 'destination': self.DESTINATION_URI, } conn = _Connection(RESPONSE) client = _Client(conn) api = self._make_one(client) response = api.sink_get(self.PROJECT, self.SINK_NAME) self.assertEqual(response, RESPONSE) self.assertEqual(conn._called_with['method'], 'GET') path = '/projects/%s/sinks/%s' % (self.PROJECT, self.SINK_NAME) self.assertEqual(conn._called_with['path'], path)
14,437	[ -0.005656594876199961, 0.0074325366877019405, -0.0043561942875385284, 0.0004792107501998544, 0.009845469146966934, -0.04847000166773796, 0.025479627773165703, 0.005260310135781765, -0.010814164765179157, -0.020947307348251343, 0.015710480511188507, 0.005213343072682619, -0.03393369913101196,...	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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "destination"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESTINATION_URI", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "sent", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "copy", "value": {"_type": "Name", "_fields": {"id": "sent", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "after_create", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "WRITER_IDENTITY", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "writerIdentity"}}, "value": {"_type": "Name", "_fields": {"id": "after_create", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after_create", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESTINATION_URI", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sink_create", "value": {"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "unique_writer_identity", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "returned", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "returned", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after_create", "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": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/sinks"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "method"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "path"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "query_params"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "POST"}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sent", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "uniqueWriterIdentity"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_sink_create_ok", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sink_create_ok(self): sent = { 'name': self.SINK_NAME, 'filter': self.FILTER, 'destination': self.DESTINATION_URI, } after_create = sent.copy() after_create['writerIdentity'] = self.WRITER_IDENTITY conn = _Connection(after_create) client = _Client(conn) api = self._make_one(client) returned = api.sink_create( self.PROJECT, self.SINK_NAME, self.FILTER, self.DESTINATION_URI, unique_writer_identity=True, ) self.assertEqual(returned, after_create) path = '/projects/%s/sinks' % (self.PROJECT,) expected = { 'method': 'POST', 'path': path, 'data': sent, 'query_params': {'uniqueWriterIdentity': True}, } self.assertEqual(conn._called_with, expected)
14,438	[ 0.011534676887094975, 0.011254164390265942, 0.04981903359293938, -0.027961494401097298, 0.011147569864988327, 0.01524866372346878, -0.015136458911001682, 0.03889026492834091, 0.004639678169041872, -0.03538946807384491, 0.02661503292620182, -0.03671348839998245, -0.03639931231737137, 0.0230...	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": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sink_delete", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "DELETE"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/sinks/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_sink_delete_hit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sink_delete_hit(self): conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.sink_delete(self.PROJECT, self.SINK_NAME) self.assertEqual(conn._called_with['method'], 'DELETE') path = '/projects/%s/sinks/%s' % (self.PROJECT, self.SINK_NAME) self.assertEqual(conn._called_with['path'], path)
14,439	[ -0.0029958500526845455, -0.003953317645937204, 0.00868947058916092, -0.012862584553658962, 0.0006447099731303751, 0.005311235785484314, 0.018739869818091393, 0.011826833710074425, -0.021064288914203644, -0.015524224378168583, 0.019546793773770332, 0.008846038021147251, -0.07033473253250122, ...	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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "destination"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESTINATION_URI", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "sent", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "copy", "value": {"_type": "Name", "_fields": {"id": "sent", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "after_update", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "WRITER_IDENTITY", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "writerIdentity"}}, "value": {"_type": "Name", "_fields": {"id": "after_update", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after_update", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESTINATION_URI", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sink_update", "value": {"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "unique_writer_identity", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "returned", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "returned", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after_update", "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": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/sinks/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SINK_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "method"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "path"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "query_params"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "PUT"}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sent", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "uniqueWriterIdentity"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_sink_update_hit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sink_update_hit(self): sent = { 'name': self.SINK_NAME, 'filter': self.FILTER, 'destination': self.DESTINATION_URI, } after_update = sent.copy() after_update['writerIdentity'] = self.WRITER_IDENTITY conn = _Connection(after_update) client = _Client(conn) api = self._make_one(client) returned = api.sink_update( self.PROJECT, self.SINK_NAME, self.FILTER, self.DESTINATION_URI, unique_writer_identity=True) self.assertEqual(returned, after_update) path = '/projects/%s/sinks/%s' % (self.PROJECT, self.SINK_NAME) expected = { 'method': 'PUT', 'path': path, 'data': sent, 'query_params': {'uniqueWriterIdentity': True}, } self.assertEqual(conn._called_with, expected)
14,440	[ 0.029968611896038055, -0.030201107263565063, -0.01320571918040514, -0.013961328193545341, 0.004484248347580433, -0.018088115379214287, -0.005969310645014048, -0.021145425736904144, 0.029596619307994843, 0.0007912097498774529, 0.013659084215760231, -0.02187778428196907, -0.007753709796816111,...	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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESCRIPTION", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": 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"_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESCRIPTION", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metric_create", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "POST"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/metrics"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metric_create_ok", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_metric_create_ok(self): SENT = { 'name': self.METRIC_NAME, 'filter': self.FILTER, 'description': self.DESCRIPTION, } conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.metric_create( self.PROJECT, self.METRIC_NAME, self.FILTER, self.DESCRIPTION) self.assertEqual(conn._called_with['method'], 'POST') path = '/projects/%s/metrics' % (self.PROJECT,) self.assertEqual(conn._called_with['path'], path) self.assertEqual(conn._called_with['data'], SENT)
14,441	[ -0.01571342535316944, -0.03863077983260155, 0.013451997190713882, -0.026157956570386887, 0.008661034516990185, 0.005254322197288275, -0.04581139609217644, 0.005767223425209522, 0.03643929213285446, 0.0136851342394948, 0.00580802233889699, -0.02585487999022007, -0.0077401441521942616, -0.00...	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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metric_get", "value": {"_type": "Name", "_fields": {"id": "api", "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": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "RESPONSE", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "GET"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/metrics/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metric_get_hit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_metric_get_hit(self): RESPONSE = { 'name': self.METRIC_NAME, 'filter': self.FILTER, 'description': self.DESCRIPTION, } conn = _Connection(RESPONSE) client = _Client(conn) api = self._make_one(client) response = api.metric_get(self.PROJECT, self.METRIC_NAME) self.assertEqual(response, RESPONSE) self.assertEqual(conn._called_with['method'], 'GET') path = '/projects/%s/metrics/%s' % (self.PROJECT, self.METRIC_NAME) self.assertEqual(conn._called_with['path'], path)
14,442	[ 0.020825300365686417, -0.04344227537512779, -0.008039264008402824, -0.017253587022423744, 0.000195418979274109, 0.03371604532003403, -0.008347571827471256, -0.0014361023204401135, 0.0207205917686224, -0.001858570845797658, 0.00984257273375988, -0.015299033373594284, -0.03857916221022606, 0...	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": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "filter"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESCRIPTION", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "client", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_make_one", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "api", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FILTER", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DESCRIPTION", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metric_update", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "PUT"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/metrics/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "SENT", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metric_update_hit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_metric_update_hit(self): SENT = { 'name': self.METRIC_NAME, 'filter': self.FILTER, 'description': self.DESCRIPTION, } conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.metric_update( self.PROJECT, self.METRIC_NAME, self.FILTER, self.DESCRIPTION) self.assertEqual(conn._called_with['method'], 'PUT') path = '/projects/%s/metrics/%s' % (self.PROJECT, self.METRIC_NAME) self.assertEqual(conn._called_with['path'], path) self.assertEqual(conn._called_with['data'], SENT)
14,443	[ 0.030488893389701843, -0.018244976177811623, 0.02705971710383892, -0.039171744138002396, 0.004627189598977566, 0.03710544481873512, -0.03824850171804428, 0.010155636817216873, 0.042578935623168945, -0.004269983619451523, 0.028246739879250526, -0.04712919145822525, -0.027455391362309456, 0....	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": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Name", "_fields": {"id": "_Connection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Store", "_fields": {}}}}], 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"Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "metric_delete", "value": {"_type": "Name", "_fields": {"id": "api", "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": "method"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "DELETE"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/projects/%s/metrics/%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PROJECT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "METRIC_NAME", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "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": "path"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_called_with", "value": {"_type": "Name", "_fields": {"id": "conn", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_metric_delete_hit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_metric_delete_hit(self): conn = _Connection({}) client = _Client(conn) api = self._make_one(client) api.metric_delete(self.PROJECT, self.METRIC_NAME) self.assertEqual(conn._called_with['method'], 'DELETE') path = '/projects/%s/metrics/%s' % (self.PROJECT, self.METRIC_NAME) self.assertEqual(conn._called_with['path'], path)
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redefine inventory and get group "all" inventory = self.runner.inventory allgroup = inventory.get_group('all') # check if host in cache, add if not if new_name in inventory._hosts_cache: new_host = inventory._hosts_cache[new_name] else: new_host = Host(new_name) # only groups can be added directly to inventory inventory._hosts_cache[new_name] = new_host allgroup.add_host(new_host) # Add any variables to the new_host for k in args.keys(): if not k in [ 'name', 'hostname', 'groupname', 'groups' ]: new_host.set_variable(k, args[k]) groupnames = args.get('groupname', args.get('groups', args.get('group', ''))) # add it to the group if that was specified if groupnames != '': for group_name in groupnames.split(","): group_name = group_name.strip() if not inventory.get_group(group_name): new_group = Group(group_name) inventory.add_group(new_group) grp = inventory.get_group(group_name) grp.add_host(new_host) # add this host to the group cache if inventory._groups_list is not None: if group_name in inventory._groups_list: if new_host.name not in inventory._groups_list[group_name]: inventory._groups_list[group_name].append(new_host.name) vv("added host to group via add_host module: %s" % group_name) result['new_groups'] = groupnames.split(",") result['new_host'] = new_name # clear pattern caching completely since it's unpredictable what # patterns may have referenced the group inventory.clear_pattern_cache() return ReturnData(conn=conn, comm_ok=True, result=result)
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"kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Delete", "_fields": {"targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Del", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "position", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cards", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "name": "__delitem__", "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": "position", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "card", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "position", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "card", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "insert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cards", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "insert", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "FrenchDeck", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MutableSequence", "value": {"_type": "Name", "_fields": {"id": "abc", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class FrenchDeck(abc.MutableSequence): ranks = [str(n) for n in range(2, 11)] + list('JQKA') suits = 'spades diamonds clubs hearts'.split() def __init__(self): self._cards = [Card(rank, suit) for suit in self.suits for rank in self.ranks] def __len__(self): return len(self._cards) def __getitem__(self, position): return self._cards[position] def __setitem__(self, position, card): self._cards[position] = card def __delitem__(self, position): del self._cards[position] def insert(self, position, card): self._cards.insert(position, card)
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{"_type": "Load", "_fields": {}}, "attr": "roles", "value": {"_type": "Name", "_fields": {"id": "pk", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "AnonymousUser", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "pk", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "authenticate_credentials", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ProjectKeyAuthentication", "bases": [{"_type": "Name", "_fields": {"id": "QuietBasicAuthentication", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class ProjectKeyAuthentication(QuietBasicAuthentication): def authenticate_credentials(self, userid, password): try: pk = ProjectKey.objects.get_from_cache(public_key=userid) except ProjectKey.DoesNotExist: return None if not constant_time_compare(pk.secret_key, password): return None if not pk.is_active: raise AuthenticationFailed('Key is disabled') if not pk.roles.api: raise AuthenticationFailed('Key does not allow API access') return (AnonymousUser(), pk)
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{"_type": "Name", "_fields": {"id": "pk", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "AnonymousUser", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "pk", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "authenticate_credentials", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def authenticate_credentials(self, userid, password): try: pk = ProjectKey.objects.get_from_cache(public_key=userid) except ProjectKey.DoesNotExist: return None if not constant_time_compare(pk.secret_key, password): return None if not pk.is_active: raise AuthenticationFailed('Key is disabled') if not pk.roles.api: raise AuthenticationFailed('Key does not allow API access') return (AnonymousUser(), pk)
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"ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "softplus", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nn", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": 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"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 StudentTTest(tf.test.TestCase): def testStudentPDFAndLogPDF(self): with self.test_session(): batch_size = 6 df = tf.constant([3.0] * batch_size) mu = tf.constant([7.0] * batch_size) sigma = tf.constant([8.0] * batch_size) df_v = 3.0 mu_v = 7.0 sigma_v = 8.0 t = np.array([-2.5, 2.5, 8.0, 0.0, -1.0, 2.0], dtype=np.float32) student = tf.contrib.distributions.StudentT(df, mu=mu, sigma=sigma) log_pdf = student.log_pdf(t) self.assertEquals(log_pdf.get_shape(), (6,)) log_pdf_values = log_pdf.eval() pdf = student.pdf(t) self.assertEquals(pdf.get_shape(), (6,)) pdf_values = pdf.eval() expected_log_pdf = stats.t.logpdf(t, df_v, loc=mu_v, scale=sigma_v) expected_pdf = stats.t.pdf(t, df_v, loc=mu_v, scale=sigma_v) self.assertAllClose(expected_log_pdf, log_pdf_values) self.assertAllClose(np.log(expected_pdf), log_pdf_values) self.assertAllClose(expected_pdf, pdf_values) self.assertAllClose(np.exp(expected_log_pdf), pdf_values) def testStudentLogPDFMultidimensional(self): with self.test_session(): batch_size = 6 df = tf.constant([[1.5, 7.2]] * batch_size) mu = tf.constant([[3.0, -3.0]] * batch_size) sigma = tf.constant([[math.sqrt(10.0), math.sqrt(15.0)]] * batch_size) df_v = np.array([1.5, 7.2]) mu_v = np.array([3.0, -3.0]) sigma_v = np.array([np.sqrt(10.0), np.sqrt(15.0)]) t = np.array([[-2.5, 2.5, 4.0, 0.0, -1.0, 2.0]], dtype=np.float32).T student = tf.contrib.distributions.StudentT(df, mu=mu, sigma=sigma) log_pdf = student.log_pdf(t) log_pdf_values = log_pdf.eval() self.assertEqual(log_pdf.get_shape(), (6, 2)) pdf = student.pdf(t) pdf_values = pdf.eval() self.assertEqual(pdf.get_shape(), (6, 2)) expected_log_pdf = stats.t.logpdf(t, df_v, loc=mu_v, scale=sigma_v) expected_pdf = stats.t.pdf(t, df_v, loc=mu_v, scale=sigma_v) self.assertAllClose(expected_log_pdf, log_pdf_values) self.assertAllClose(np.log(expected_pdf), log_pdf_values) self.assertAllClose(expected_pdf, pdf_values) self.assertAllClose(np.exp(expected_log_pdf), pdf_values) def testStudentEntropy(self): df_v = np.array([[2., 3., 7.]]) # 1x3 mu_v = np.array([[1., -1, 0]]) # 1x3 sigma_v = np.array([[1., 2., 3.]]).T # transposed => 3x1 with self.test_session(): student = tf.contrib.distributions.StudentT(df=df_v, mu=mu_v, sigma=sigma_v) ent = student.entropy() ent_values = ent.eval() # Help scipy broadcast to 3x3 ones = np.array([[1, 1, 1]]) sigma_bc = sigma_v * ones mu_bc = ones.T * mu_v df_bc = ones.T * df_v expected_entropy = stats.t.entropy( np.reshape(df_bc, [-1]), loc=np.reshape(mu_bc, [-1]), scale=np.reshape(sigma_bc, [-1])) expected_entropy = np.reshape(expected_entropy, df_bc.shape) self.assertAllClose(expected_entropy, ent_values) def testStudentSample(self): with self.test_session(): df = tf.constant(4.0) mu = tf.constant(3.0) sigma = tf.constant(math.sqrt(10.0)) df_v = 4.0 mu_v = 3.0 sigma_v = np.sqrt(10.0) n = tf.constant(200000) student = tf.contrib.distributions.StudentT(df=df, mu=mu, sigma=sigma) samples = student.sample(n) sample_values = samples.eval() n_val = 200000 self.assertEqual(sample_values.shape, (n_val,)) self.assertAllClose(sample_values.mean(), mu_v, rtol=1e-2, atol=0) self.assertAllClose(sample_values.var(), sigma_v*2 df_v / (df_v - 2), rtol=1e-2, atol=0) self._checkKLApprox(df_v, mu_v, sigma_v, sample_values) # Test that sampling with the same seed twice gives the same results. def testStudentSampleMultipleTimes(self): with self.test_session(): df = tf.constant(4.0) mu = tf.constant(3.0) sigma = tf.constant(math.sqrt(10.0)) df_v = 4.0 mu_v = 3.0 sigma_v = np.sqrt(10.0) n = tf.constant(100) tf.set_random_seed(654321) student = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma, name="student_t1") samples1 = student.sample(n, seed=123456).eval() tf.set_random_seed(654321) student2 = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma, name="student_t2") samples2 = student2.sample(n, seed=123456).eval() self.assertAllClose(samples1, samples2) def testStudentSampleSmallDfNoNan(self): with self.test_session(): df_v = [1e-1, 1e-5, 1e-10, 1e-20] df = tf.constant(df_v) n = tf.constant(200000) student = tf.contrib.distributions.StudentT(df=df, mu=1.0, sigma=1.0) samples = student.sample(n) sample_values = samples.eval() n_val = 200000 self.assertEqual(sample_values.shape, (n_val, 4)) self.assertTrue(np.all(np.logical_not(np.isnan(sample_values)))) def testStudentSampleMultiDimensional(self): with self.test_session(): batch_size = 7 df = tf.constant([[3.0, 7.0]] * batch_size) mu = tf.constant([[3.0, -3.0]] * batch_size) sigma = tf.constant([[math.sqrt(10.0), math.sqrt(15.0)]] * batch_size) df_v = [3.0, 7.0] mu_v = [3.0, -3.0] sigma_v = [np.sqrt(10.0), np.sqrt(15.0)] n = tf.constant(200000) student = tf.contrib.distributions.StudentT(df=df, mu=mu, sigma=sigma) samples = student.sample(n) sample_values = samples.eval() self.assertEqual(samples.get_shape(), (200000, batch_size, 2)) self.assertAllClose( sample_values[:, 0, 0].mean(), mu_v[0], rtol=1e-2, atol=0) self.assertAllClose(sample_values[:, 0, 0].var(), sigma_v[0]*2 df_v[0] / (df_v[0] - 2), rtol=1e-1, atol=0) self._checkKLApprox(df_v[0], mu_v[0], sigma_v[0], sample_values[:, 0, 0]) self.assertAllClose( sample_values[:, 0, 1].mean(), mu_v[1], rtol=1e-2, atol=0) self.assertAllClose(sample_values[:, 0, 1].var(), sigma_v[1]*2 df_v[1] / (df_v[1] - 2), rtol=1e-1, atol=0) self._checkKLApprox(df_v[0], mu_v[0], sigma_v[0], sample_values[:, 0, 1]) def _checkKLApprox(self, df, mu, sigma, samples): n = samples.size np.random.seed(137) sample_scipy = stats.t.rvs(df, loc=mu, scale=sigma, size=n) covg = 0.99 r = stats.t.interval(covg, df, loc=mu, scale=sigma) bins = 100 hist, _ = np.histogram(samples, bins=bins, range=r) hist_scipy, _ = np.histogram(sample_scipy, bins=bins, range=r) self.assertGreater(hist.sum(), n * (covg - .01)) self.assertGreater(hist_scipy.sum(), n * (covg - .01)) hist_min1 = hist + 1. # put at least one item in each bucket hist_norm = hist_min1 / hist_min1.sum() hist_scipy_min1 = hist_scipy + 1. # put at least one item in each bucket hist_scipy_norm = hist_scipy_min1 / hist_scipy_min1.sum() kl_appx = np.sum(np.log(hist_scipy_norm / hist_norm) * hist_scipy_norm) self.assertLess(kl_appx, 1) def testBroadcastingParams(self): def _check(student): self.assertEqual(student.mean().get_shape(), (3,)) self.assertEqual(student.variance().get_shape(), (3,)) self.assertEqual(student.entropy().get_shape(), (3,)) self.assertEqual(student.log_pdf(2.).get_shape(), (3,)) self.assertEqual(student.pdf(2.).get_shape(), (3,)) self.assertEqual(student.sample(37).get_shape(), (37, 3,)) _check(tf.contrib.distributions.StudentT(df=[2., 3., 4.,], mu=2., sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=[2., 3., 4.,], sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=3., sigma=[2., 3., 4.,])) def testBroadcastingPdfArgs(self): def _assert_shape(student, arg, shape): self.assertEqual(student.log_pdf(arg).get_shape(), shape) self.assertEqual(student.pdf(arg).get_shape(), shape) def _check(student): _assert_shape(student, 2., (3,)) xs = np.array([2., 3., 4.], dtype=np.float32) _assert_shape(student, xs, (3,)) xs = np.array([xs]) _assert_shape(student, xs, (1, 3)) xs = xs.T _assert_shape(student, xs, (3, 3)) _check(tf.contrib.distributions.StudentT(df=[2., 3., 4.,], mu=2., sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=[2., 3., 4.,], sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=3., sigma=[2., 3., 4.,])) def _check2d(student): _assert_shape(student, 2., (1, 3)) xs = np.array([2., 3., 4.], dtype=np.float32) _assert_shape(student, xs, (1, 3)) xs = np.array([xs]) _assert_shape(student, xs, (1, 3)) xs = xs.T _assert_shape(student, xs, (3, 3)) _check2d(tf.contrib.distributions.StudentT( df=[[2., 3., 4.,]], mu=2., sigma=1.)) _check2d(tf.contrib.distributions.StudentT( df=7., mu=[[2., 3., 4.,]], sigma=1.)) _check2d(tf.contrib.distributions.StudentT( df=7., mu=3., sigma=[[2., 3., 4.,]])) def _check2d_rows(student): _assert_shape(student, 2., (3, 1)) xs = np.array([2., 3., 4.], dtype=np.float32) # (3,) _assert_shape(student, xs, (3, 3)) xs = np.array([xs]) # (1,3) _assert_shape(student, xs, (3, 3)) xs = xs.T # (3,1) _assert_shape(student, xs, (3, 1)) _check2d_rows(tf.contrib.distributions.StudentT( df=[[2.], [3.], [4.]], mu=2., sigma=1.)) _check2d_rows(tf.contrib.distributions.StudentT( df=7., mu=[[2.], [3.], [4.]], sigma=1.)) _check2d_rows(tf.contrib.distributions.StudentT( df=7., mu=3., sigma=[[2.], [3.], [4.]])) def testMeanAllowNanStatsIsFalseWorksWhenAllBatchMembersAreDefined(self): with self.test_session(): mu = [1., 3.3, 4.4] student = tf.contrib.distributions.StudentT( df=[3., 5., 7.], mu=mu, sigma=[3., 2., 1.]) mean = student.mean().eval() self.assertAllClose([1., 3.3, 4.4], mean) def testMeanAllowNanStatsIsFalseRaisesWhenBatchMemberIsUndefined(self): with self.test_session(): mu = [1., 3.3, 4.4] student = tf.contrib.distributions.StudentT( df=[0.5, 5., 7.], mu=mu, sigma=[3., 2., 1.], allow_nan_stats=False) with self.assertRaisesOpError("x < y"): student.mean().eval() def testMeanAllowNanStatsIsTrueReturnsNaNForUndefinedBatchMembers(self): with self.test_session(): mu = [-2, 0., 1., 3.3, 4.4] student = tf.contrib.distributions.StudentT( df=[0.5, 1., 3., 5., 7.], mu=mu, sigma=[5., 4., 3., 2., 1.], allow_nan_stats=True) mean = student.mean().eval() self.assertAllClose([np.nan, np.nan, 1., 3.3, 4.4], mean) def testVarianceAllowNanStatsTrueReturnsNaNforUndefinedBatchMembers(self): with self.test_session(): # df = 0.5 ==> undefined mean ==> undefined variance. # df = 1.5 ==> infinite variance. df = [0.5, 1.5, 3., 5., 7.] mu = [-2, 0., 1., 3.3, 4.4] sigma = [5., 4., 3., 2., 1.] student = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma, allow_nan_stats=True) var = student.variance().eval() ## scipy uses inf for variance when the mean is undefined. When mean is # undefined we say variance is undefined as well. So test the first # member of var, making sure it is NaN, then replace with inf and compare # to scipy. self.assertTrue(np.isnan(var[0])) var[0] = np.inf expected_var = [ stats.t.var(d, loc=m, scale=s) for (d, m, s) in zip(df, mu, sigma)] self.assertAllClose(expected_var, var) def testVarianceAllowNanStatsFalseGivesCorrectValueForDefinedBatchMembers( self): with self.test_session(): # df = 1.5 ==> infinite variance. df = [1.5, 3., 5., 7.] mu = [0., 1., 3.3, 4.4] sigma = [4., 3., 2., 1.] student = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma) var = student.variance().eval() expected_var = [ stats.t.var(d, loc=m, scale=s) for (d, m, s) in zip(df, mu, sigma)] self.assertAllClose(expected_var, var) def testVarianceAllowNanStatsFalseRaisesForUndefinedBatchMembers(self): with self.test_session(): # df <= 1 ==> variance not defined student = tf.contrib.distributions.StudentT( df=1.0, mu=0.0, sigma=1.0, allow_nan_stats=False) with self.assertRaisesOpError("x < y"): student.variance().eval() with self.test_session(): # df <= 1 ==> variance not defined student = tf.contrib.distributions.StudentT( df=0.5, mu=0.0, sigma=1.0, allow_nan_stats=False) with self.assertRaisesOpError("x < y"): student.variance().eval() def testStd(self): with self.test_session(): # Defined for all batch members. df = [3.5, 5., 3., 5., 7.] mu = [-2.2] sigma = [5., 4., 3., 2., 1.] student = tf.contrib.distributions.StudentT(df=df, mu=mu, sigma=sigma) # Test broadcast of mu across shape of df/sigma std = student.std().eval() mu = len(df) expected_std = [ stats.t.std(d, loc=m, scale=s) for (d, m, s) in zip(df, mu, sigma)] self.assertAllClose(expected_std, std) def testMode(self): with self.test_session(): student = tf.contrib.distributions.StudentT( df=[0.5, 1., 3], mu=[-1, 0., 1], sigma=[5., 4., 3.]) # Test broadcast of mu across shape of df/sigma mode = student.mode().eval() self.assertAllClose([-1., 0, 1], mode) def testPdfOfSample(self): with self.test_session() as sess: student = tf.contrib.distributions.StudentT(df=3., mu=np.pi, sigma=1.) num = 20000 samples = student.sample(num) pdfs = student.pdf(samples) mean = student.mean() mean_pdf = student.pdf(student.mean()) sample_vals, pdf_vals, mean_val, mean_pdf_val = sess.run( [samples, pdfs, student.mean(), mean_pdf]) self.assertEqual(samples.get_shape(), (num,)) self.assertEqual(pdfs.get_shape(), (num,)) self.assertEqual(mean.get_shape(), ()) self.assertNear(np.pi, np.mean(sample_vals), err=0.02) self.assertNear(np.pi, mean_val, err=1e-6) self.assertNear(stats.t.pdf(np.pi, 3., loc=np.pi), mean_pdf_val, err=1e-6) # Verify integral over samplepdf ~= 1. self._assertIntegral(sample_vals, pdf_vals) def testPdfOfSampleMultiDims(self): with self.test_session() as sess: student = tf.contrib.distributions.StudentT(df=[7., 11.], mu=[[5.], [6.]], sigma=3.) num = 50000 samples = student.sample(num) pdfs = student.pdf(samples) sample_vals, pdf_vals = sess.run([samples, pdfs]) self.assertEqual(samples.get_shape(), (num, 2, 2)) self.assertEqual(pdfs.get_shape(), (num, 2, 2)) self.assertNear(5., np.mean(sample_vals[:, 0, :]), err=.03) self.assertNear(6., np.mean(sample_vals[:, 1, :]), err=.03) self.assertNear(stats.t.var(7., loc=0., scale=3.), # loc d.n. effect var np.var(sample_vals[:, :, 0]), err=.3) self.assertNear(stats.t.var(11., loc=0., scale=3.), # loc d.n. effect var np.var(sample_vals[:, :, 1]), err=.3) self._assertIntegral(sample_vals[:, 0, 0], pdf_vals[:, 0, 0], err=0.02) self._assertIntegral(sample_vals[:, 0, 1], pdf_vals[:, 0, 1], err=0.02) self._assertIntegral(sample_vals[:, 1, 0], pdf_vals[:, 1, 0], err=0.02) self._assertIntegral(sample_vals[:, 1, 1], pdf_vals[:, 1, 1], err=0.02) def _assertIntegral(self, sample_vals, pdf_vals, err=1e-3): s_p = zip(sample_vals, pdf_vals) prev = (sample_vals.min() - 1000, 0) total = 0 for k in sorted(s_p, key=lambda x: x[0]): pair_pdf = (k[1] + prev[1]) / 2 total += (k[0] - prev[0]) * pair_pdf prev = k self.assertNear(1., total, err=err) def testNegativeDofFails(self): with self.test_session(): student = tf.contrib.distributions.StudentT(df=[2, -5.], mu=0., sigma=1., validate_args=True, name="S") with self.assertRaisesOpError(r"Condition x > 0 did not hold"): student.mean().eval() def testNegativeScaleFails(self): with self.test_session(): student = tf.contrib.distributions.StudentT(df=[5.], mu=0., sigma=[[3.], [-2.]], validate_args=True, name="S") with self.assertRaisesOpError(r"Condition x > 0 did not hold"): student.mean().eval() def testStudentTWithAbsDfSoftplusSigma(self): with self.test_session(): df = tf.constant([-3.2, -4.6]) mu = tf.constant([-4.2, 3.4]) sigma = tf.constant([-6.4, -8.8]) student = tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma( df=df, mu=mu, sigma=sigma) self.assertAllClose(tf.floor(tf.abs(df)).eval(), student.df.eval()) self.assertAllClose(mu.eval(), student.mu.eval()) self.assertAllClose(tf.nn.softplus(sigma).eval(), student.sigma.eval())
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{"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStudentPDFAndLogPDF", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentPDFAndLogPDF(self): with self.test_session(): batch_size = 6 df = tf.constant([3.0] * batch_size) mu = tf.constant([7.0] * batch_size) sigma = tf.constant([8.0] * batch_size) df_v = 3.0 mu_v = 7.0 sigma_v = 8.0 t = np.array([-2.5, 2.5, 8.0, 0.0, -1.0, 2.0], dtype=np.float32) student = tf.contrib.distributions.StudentT(df, mu=mu, sigma=sigma) log_pdf = student.log_pdf(t) self.assertEquals(log_pdf.get_shape(), (6,)) log_pdf_values = log_pdf.eval() pdf = student.pdf(t) self.assertEquals(pdf.get_shape(), (6,)) pdf_values = pdf.eval() expected_log_pdf = stats.t.logpdf(t, df_v, loc=mu_v, scale=sigma_v) expected_pdf = stats.t.pdf(t, df_v, loc=mu_v, scale=sigma_v) self.assertAllClose(expected_log_pdf, log_pdf_values) self.assertAllClose(np.log(expected_pdf), log_pdf_values) self.assertAllClose(expected_pdf, pdf_values) self.assertAllClose(np.exp(expected_log_pdf), pdf_values)
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStudentLogPDFMultidimensional", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentLogPDFMultidimensional(self): with self.test_session(): batch_size = 6 df = tf.constant([[1.5, 7.2]] * batch_size) mu = tf.constant([[3.0, -3.0]] * batch_size) sigma = tf.constant([[math.sqrt(10.0), math.sqrt(15.0)]] * batch_size) df_v = np.array([1.5, 7.2]) mu_v = np.array([3.0, -3.0]) sigma_v = np.array([np.sqrt(10.0), np.sqrt(15.0)]) t = np.array([[-2.5, 2.5, 4.0, 0.0, -1.0, 2.0]], dtype=np.float32).T student = tf.contrib.distributions.StudentT(df, mu=mu, sigma=sigma) log_pdf = student.log_pdf(t) log_pdf_values = log_pdf.eval() self.assertEqual(log_pdf.get_shape(), (6, 2)) pdf = student.pdf(t) pdf_values = pdf.eval() self.assertEqual(pdf.get_shape(), (6, 2)) expected_log_pdf = stats.t.logpdf(t, df_v, loc=mu_v, scale=sigma_v) expected_pdf = stats.t.pdf(t, df_v, loc=mu_v, scale=sigma_v) self.assertAllClose(expected_log_pdf, log_pdf_values) self.assertAllClose(np.log(expected_pdf), log_pdf_values) self.assertAllClose(expected_pdf, pdf_values) self.assertAllClose(np.exp(expected_log_pdf), pdf_values)
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[{"_type": "Name", "_fields": {"id": "expected_entropy", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ent_values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testStudentEntropy", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentEntropy(self): df_v = np.array([[2., 3., 7.]]) # 1x3 mu_v = np.array([[1., -1, 0]]) # 1x3 sigma_v = np.array([[1., 2., 3.]]).T # transposed => 3x1 with self.test_session(): student = tf.contrib.distributions.StudentT(df=df_v, mu=mu_v, sigma=sigma_v) ent = student.entropy() ent_values = ent.eval() # Help scipy broadcast to 3x3 ones = np.array([[1, 1, 1]]) sigma_bc = sigma_v * ones mu_bc = ones.T * mu_v df_bc = ones.T * df_v expected_entropy = stats.t.entropy( np.reshape(df_bc, [-1]), loc=np.reshape(mu_bc, [-1]), scale=np.reshape(sigma_bc, [-1])) expected_entropy = np.reshape(expected_entropy, df_bc.shape) self.assertAllClose(expected_entropy, ent_values)
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{}}}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "student_t1"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sample", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "seed", 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"contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "student_t2"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sample", "value": {"_type": "Name", "_fields": {"id": "student2", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "seed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 123456}}}}]}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "samples2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "samples1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "samples2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStudentSampleMultipleTimes", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentSampleMultipleTimes(self): with self.test_session(): df = tf.constant(4.0) mu = tf.constant(3.0) sigma = tf.constant(math.sqrt(10.0)) df_v = 4.0 mu_v = 3.0 sigma_v = np.sqrt(10.0) n = tf.constant(100) tf.set_random_seed(654321) student = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma, name="student_t1") samples1 = student.sample(n, seed=123456).eval() tf.set_random_seed(654321) student2 = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma, name="student_t2") samples2 = student2.sample(n, seed=123456).eval() self.assertAllClose(samples1, samples2)
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[{"_type": "keyword", "_fields": {"arg": "rtol", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.01}}}}, {"_type": "keyword", "_fields": {"arg": "atol", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "df_v", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "mu_v", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sigma_v", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sample_values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_checkKLApprox", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStudentSample", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentSample(self): with self.test_session(): df = tf.constant(4.0) mu = tf.constant(3.0) sigma = tf.constant(math.sqrt(10.0)) df_v = 4.0 mu_v = 3.0 sigma_v = np.sqrt(10.0) n = tf.constant(200000) student = tf.contrib.distributions.StudentT(df=df, mu=mu, sigma=sigma) samples = student.sample(n) sample_values = samples.eval() n_val = 200000 self.assertEqual(sample_values.shape, (n_val,)) self.assertAllClose(sample_values.mean(), mu_v, rtol=1e-2, atol=0) self.assertAllClose(sample_values.var(), sigma_v*2 df_v / (df_v - 2), rtol=1e-2, atol=0) self._checkKLApprox(df_v, mu_v, sigma_v, sample_values)
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"_fields": {}}, "attr": "all", "value": {"_type": "Name", "_fields": {"id": "np", "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": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStudentSampleSmallDfNoNan", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentSampleSmallDfNoNan(self): with self.test_session(): df_v = [1e-1, 1e-5, 1e-10, 1e-20] df = tf.constant(df_v) n = tf.constant(200000) student = tf.contrib.distributions.StudentT(df=df, mu=1.0, sigma=1.0) samples = student.sample(n) sample_values = samples.eval() n_val = 200000 self.assertEqual(sample_values.shape, (n_val, 4)) self.assertTrue(np.all(np.logical_not(np.isnan(sample_values))))
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n = tf.constant(200000) student = tf.contrib.distributions.StudentT(df=df, mu=mu, sigma=sigma) samples = student.sample(n) sample_values = samples.eval() self.assertEqual(samples.get_shape(), (200000, batch_size, 2)) self.assertAllClose( sample_values[:, 0, 0].mean(), mu_v[0], rtol=1e-2, atol=0) self.assertAllClose(sample_values[:, 0, 0].var(), sigma_v[0]*2 df_v[0] / (df_v[0] - 2), rtol=1e-1, atol=0) self._checkKLApprox(df_v[0], mu_v[0], sigma_v[0], sample_values[:, 0, 0]) self.assertAllClose( sample_values[:, 0, 1].mean(), mu_v[1], rtol=1e-2, atol=0) self.assertAllClose(sample_values[:, 0, 1].var(), sigma_v[1]*2 df_v[1] / (df_v[1] - 2), rtol=1e-1, atol=0) self._checkKLApprox(df_v[0], mu_v[0], sigma_v[0], sample_values[:, 0, 1])
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"type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _checkKLApprox(self, df, mu, sigma, samples): n = samples.size np.random.seed(137) sample_scipy = stats.t.rvs(df, loc=mu, scale=sigma, size=n) covg = 0.99 r = stats.t.interval(covg, df, loc=mu, scale=sigma) bins = 100 hist, _ = np.histogram(samples, bins=bins, range=r) hist_scipy, _ = np.histogram(sample_scipy, bins=bins, range=r) self.assertGreater(hist.sum(), n * (covg - .01)) self.assertGreater(hist_scipy.sum(), n * (covg - .01)) hist_min1 = hist + 1. # put at least one item in each bucket hist_norm = hist_min1 / hist_min1.sum() hist_scipy_min1 = hist_scipy + 1. # put at least one item in each bucket hist_scipy_norm = hist_scipy_min1 / hist_scipy_min1.sum() kl_appx = np.sum(np.log(hist_scipy_norm / hist_norm) * hist_scipy_norm) self.assertLess(kl_appx, 1)
14,461	[ 0.005416949279606342, -0.03468829765915871, 0.029559385031461716, -0.015448681078851223, -0.005500572733581066, 0.015523012727499008, 0.02355087548494339, 0.0026960859540849924, 0.02166779711842537, 0.029931044206023216, -0.002208281774073839, 0.007947336882352829, -0.019202450290322304, 0...	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": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "student", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", 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"_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "_check", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}]}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "_check", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "testBroadcastingParams", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testBroadcastingParams(self): def _check(student): self.assertEqual(student.mean().get_shape(), (3,)) self.assertEqual(student.variance().get_shape(), (3,)) self.assertEqual(student.entropy().get_shape(), (3,)) self.assertEqual(student.log_pdf(2.).get_shape(), (3,)) self.assertEqual(student.pdf(2.).get_shape(), (3,)) self.assertEqual(student.sample(37).get_shape(), (37, 3,)) _check(tf.contrib.distributions.StudentT(df=[2., 3., 4.,], mu=2., sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=[2., 3., 4.,], sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=3., sigma=[2., 3., 4.,]))
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2.0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "_check2d_rows", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}]}}]}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "_check2d_rows", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "testBroadcastingPdfArgs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testBroadcastingPdfArgs(self): def _assert_shape(student, arg, shape): self.assertEqual(student.log_pdf(arg).get_shape(), shape) self.assertEqual(student.pdf(arg).get_shape(), shape) def _check(student): _assert_shape(student, 2., (3,)) xs = np.array([2., 3., 4.], dtype=np.float32) _assert_shape(student, xs, (3,)) xs = np.array([xs]) _assert_shape(student, xs, (1, 3)) xs = xs.T _assert_shape(student, xs, (3, 3)) _check(tf.contrib.distributions.StudentT(df=[2., 3., 4.,], mu=2., sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=[2., 3., 4.,], sigma=1.)) _check(tf.contrib.distributions.StudentT(df=7., mu=3., sigma=[2., 3., 4.,])) def _check2d(student): _assert_shape(student, 2., (1, 3)) xs = np.array([2., 3., 4.], dtype=np.float32) _assert_shape(student, xs, (1, 3)) xs = np.array([xs]) _assert_shape(student, xs, (1, 3)) xs = xs.T _assert_shape(student, xs, (3, 3)) _check2d(tf.contrib.distributions.StudentT( df=[[2., 3., 4.,]], mu=2., sigma=1.)) _check2d(tf.contrib.distributions.StudentT( df=7., mu=[[2., 3., 4.,]], sigma=1.)) _check2d(tf.contrib.distributions.StudentT( df=7., mu=3., sigma=[[2., 3., 4.,]])) def _check2d_rows(student): _assert_shape(student, 2., (3, 1)) xs = np.array([2., 3., 4.], dtype=np.float32) # (3,) _assert_shape(student, xs, (3, 3)) xs = np.array([xs]) # (1,3) _assert_shape(student, xs, (3, 3)) xs = xs.T # (3,1) _assert_shape(student, xs, (3, 1)) _check2d_rows(tf.contrib.distributions.StudentT( df=[[2.], [3.], [4.]], mu=2., sigma=1.)) _check2d_rows(tf.contrib.distributions.StudentT( df=7., mu=[[2.], [3.], [4.]], sigma=1.)) _check2d_rows(tf.contrib.distributions.StudentT( df=7., mu=3., sigma=[[2.], [3.], [4.]]))
14,464	[ -0.01796661876142025, -0.03261745721101761, 0.022694677114486694, -0.002675650641322136, -0.000430207175668329, -0.019035037606954575, -0.0004812487168237567, 0.006100422237068415, 0.029719218611717224, 0.03016132302582264, 0.012268388643860817, 0.014957854524254799, -0.028736764565110207, ...	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.4}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "allow_nan_stats", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mean", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "x < y"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaisesOpError", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testMeanAllowNanStatsIsFalseRaisesWhenBatchMemberIsUndefined", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testMeanAllowNanStatsIsFalseRaisesWhenBatchMemberIsUndefined(self): with self.test_session(): mu = [1., 3.3, 4.4] student = tf.contrib.distributions.StudentT( df=[0.5, 5., 7.], mu=mu, sigma=[3., 2., 1.], allow_nan_stats=False) with self.assertRaisesOpError("x < y"): student.mean().eval()
14,465	[ -0.012088065035641193, -0.027073467150330544, 0.02619476616382599, -0.0017247460782527924, -0.03628794476389885, -0.035219255834817886, -0.010817511938512325, 0.007296774070709944, 0.04025397077202797, 0.04229635372757912, 0.02392677031457424, 0.022240614518523216, -0.03569422662258148, 0....	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, {"_type": "Constant", "_fields": {"kind": null, 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"Constant", "_fields": {"kind": null, "value": 0.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "allow_nan_stats", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mean", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mean", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.4}}]}}, {"_type": "Name", "_fields": {"id": "mean", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testMeanAllowNanStatsIsTrueReturnsNaNForUndefinedBatchMembers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testMeanAllowNanStatsIsTrueReturnsNaNForUndefinedBatchMembers(self): with self.test_session(): mu = [-2, 0., 1., 3.3, 4.4] student = tf.contrib.distributions.StudentT( df=[0.5, 1., 3., 5., 7.], mu=mu, sigma=[5., 4., 3., 2., 1.], allow_nan_stats=True) mean = student.mean().eval() self.assertAllClose([np.nan, np.nan, 1., 3.3, 4.4], mean)
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"_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": 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"t", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "loc", "value": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "scale", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "zip", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_var", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected_var", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "var", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testVarianceAllowNanStatsTrueReturnsNaNforUndefinedBatchMembers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testVarianceAllowNanStatsTrueReturnsNaNforUndefinedBatchMembers(self): with self.test_session(): # df = 0.5 ==> undefined mean ==> undefined variance. # df = 1.5 ==> infinite variance. df = [0.5, 1.5, 3., 5., 7.] mu = [-2, 0., 1., 3.3, 4.4] sigma = [5., 4., 3., 2., 1.] student = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma, allow_nan_stats=True) var = student.variance().eval() ## scipy uses inf for variance when the mean is undefined. When mean is # undefined we say variance is undefined as well. So test the first # member of var, making sure it is NaN, then replace with inf and compare # to scipy. self.assertTrue(np.isnan(var[0])) var[0] = np.inf expected_var = [ stats.t.var(d, loc=m, scale=s) for (d, m, s) in zip(df, mu, sigma)] self.assertAllClose(expected_var, var)
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{"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "variance", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "var", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "var", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "t", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "loc", "value": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "scale", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "zip", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_var", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected_var", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "var", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testVarianceAllowNanStatsFalseGivesCorrectValueForDefinedBatchMembers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testVarianceAllowNanStatsFalseGivesCorrectValueForDefinedBatchMembers( self): with self.test_session(): # df = 1.5 ==> infinite variance. df = [1.5, 3., 5., 7.] mu = [0., 1., 3.3, 4.4] sigma = [4., 3., 2., 1.] student = tf.contrib.distributions.StudentT( df=df, mu=mu, sigma=sigma) var = student.variance().eval() expected_var = [ stats.t.var(d, loc=m, scale=s) for (d, m, s) in zip(df, mu, sigma)] self.assertAllClose(expected_var, var)
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"_fields": {"args": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "std", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "t", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "loc", "value": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "scale", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "zip", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_std", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected_std", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "std", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStd", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStd(self): with self.test_session(): # Defined for all batch members. df = [3.5, 5., 3., 5., 7.] mu = [-2.2] sigma = [5., 4., 3., 2., 1.] student = tf.contrib.distributions.StudentT(df=df, mu=mu, sigma=sigma) # Test broadcast of mu across shape of df/sigma std = student.std().eval() mu *= len(df) expected_std = [ stats.t.std(d, loc=m, scale=s) for (d, m, s) in zip(df, mu, sigma)] self.assertAllClose(expected_std, std)
14,469	[ -0.03183525428175926, -0.014722179621458054, 0.02118018828332424, -0.0017249509692192078, -0.010629076510667801, -0.011642606928944588, -0.01192847453057766, -0.022206712514162064, 0.03859212249517441, 0.03895595297217369, 0.04017738997936249, -0.0062338621355593204, -0.011785540729761124, ...	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": 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"_fields": {"arg": "sigma", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}}}, {"_type": "keyword", "_fields": {"arg": "allow_nan_stats", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "variance", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "x < y"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaisesOpError", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testVarianceAllowNanStatsFalseRaisesForUndefinedBatchMembers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testVarianceAllowNanStatsFalseRaisesForUndefinedBatchMembers(self): with self.test_session(): # df <= 1 ==> variance not defined student = tf.contrib.distributions.StudentT( df=1.0, mu=0.0, sigma=1.0, allow_nan_stats=False) with self.assertRaisesOpError("x < y"): student.variance().eval() with self.test_session(): # df <= 1 ==> variance not defined student = tf.contrib.distributions.StudentT( df=0.5, mu=0.0, sigma=1.0, allow_nan_stats=False) with self.assertRaisesOpError("x < y"): student.variance().eval()
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{"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "loc", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pi", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Name", "_fields": {"id": "mean_pdf_val", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNear", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.000001}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pdf_vals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_assertIntegral", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "sess", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "testPdfOfSample", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testPdfOfSample(self): with self.test_session() as sess: student = tf.contrib.distributions.StudentT(df=3., mu=np.pi, sigma=1.) num = 20000 samples = student.sample(num) pdfs = student.pdf(samples) mean = student.mean() mean_pdf = student.pdf(student.mean()) sample_vals, pdf_vals, mean_val, mean_pdf_val = sess.run( [samples, pdfs, student.mean(), mean_pdf]) self.assertEqual(samples.get_shape(), (num,)) self.assertEqual(pdfs.get_shape(), (num,)) self.assertEqual(mean.get_shape(), ()) self.assertNear(np.pi, np.mean(sample_vals), err=0.02) self.assertNear(np.pi, mean_val, err=1e-6) self.assertNear(stats.t.pdf(np.pi, 3., loc=np.pi), mean_pdf_val, err=1e-6) # Verify integral over sample*pdf ~= 1. self._assertIntegral(sample_vals, pdf_vals)
14,471	[ 0.006335299927741289, -0.014092424884438515, 0.013438133522868156, -0.019100269302725792, -0.0025888539385050535, 0.02271145209670067, 0.046605661511421204, 0.024951141327619553, 0.046152692288160324, 0.04637917876243591, 0.011110367253422737, 0.033444344997406006, -0.005353863351047039, 0...	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}]}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mode", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testMode", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testMode(self): with self.test_session(): student = tf.contrib.distributions.StudentT( df=[0.5, 1., 3], mu=[-1, 0., 1], sigma=[5., 4., 3.]) # Test broadcast of mu across shape of df/sigma mode = student.mode().eval() self.assertAllClose([-1., 0, 1], mode)
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"_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pdf_vals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "zip", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s_p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "min", "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": 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{}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "prev", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "targets": [{"_type": "Name", "_fields": {"id": "pair_pdf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "prev", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Name", "_fields": {"id": "pair_pdf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "prev", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "s_p", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "sorted", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "key", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Name", "_fields": {"id": "total", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNear", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "_assertIntegral", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _assertIntegral(self, sample_vals, pdf_vals, err=1e-3): s_p = zip(sample_vals, pdf_vals) prev = (sample_vals.min() - 1000, 0) total = 0 for k in sorted(s_p, key=lambda x: x[0]): pair_pdf = (k[1] + prev[1]) / 2 total += (k[0] - prev[0]) * pair_pdf prev = k self.assertNear(1., total, err=err)
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"keyword", "_fields": {"arg": "loc", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}}}, {"_type": "keyword", "_fields": {"arg": "scale", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "var", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNear", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.3}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 11.0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "var", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "t", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "loc", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}}}, {"_type": "keyword", "_fields": {"arg": "scale", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "var", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNear", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.3}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "value": {"_type": "Name", "_fields": {"id": "pdf_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_assertIntegral", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.02}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "value": {"_type": "Name", "_fields": {"id": "pdf_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_assertIntegral", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.02}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "value": {"_type": "Name", "_fields": {"id": "pdf_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_assertIntegral", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.02}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "value": {"_type": "Name", "_fields": {"id": "sample_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "value": {"_type": "Name", "_fields": {"id": "pdf_vals", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_assertIntegral", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "err", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.02}}}}]}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "sess", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "testPdfOfSampleMultiDims", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testPdfOfSampleMultiDims(self): with self.test_session() as sess: student = tf.contrib.distributions.StudentT(df=[7., 11.], mu=[[5.], [6.]], sigma=3.) num = 50000 samples = student.sample(num) pdfs = student.pdf(samples) sample_vals, pdf_vals = sess.run([samples, pdfs]) self.assertEqual(samples.get_shape(), (num, 2, 2)) self.assertEqual(pdfs.get_shape(), (num, 2, 2)) self.assertNear(5., np.mean(sample_vals[:, 0, :]), err=.03) self.assertNear(6., np.mean(sample_vals[:, 1, :]), err=.03) self.assertNear(stats.t.var(7., loc=0., scale=3.), # loc d.n. effect var np.var(sample_vals[:, :, 0]), err=.3) self.assertNear(stats.t.var(11., loc=0., scale=3.), # loc d.n. effect var np.var(sample_vals[:, :, 1]), err=.3) self._assertIntegral(sample_vals[:, 0, 0], pdf_vals[:, 0, 0], err=0.02) self._assertIntegral(sample_vals[:, 0, 1], pdf_vals[:, 0, 1], err=0.02) self._assertIntegral(sample_vals[:, 1, 0], pdf_vals[:, 1, 0], err=0.02) self._assertIntegral(sample_vals[:, 1, 1], pdf_vals[:, 1, 1], err=0.02)
14,474	[ 0.014307864010334015, -0.004905919544398785, 0.030229687690734863, -0.0186245609074831, 0.007448543794453144, 0.04503710940480232, 0.008691035211086273, 0.010676459409296513, 0.02666873298585415, 0.0071411230601370335, 0.017471734434366226, -0.0212120171636343, -0.05233834683895111, 0.0104...	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}}}]}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}}}, {"_type": "keyword", "_fields": {"arg": "validate_args", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "S"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mean", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Condition x > 0 did not hold"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaisesOpError", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testNegativeDofFails", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testNegativeDofFails(self): with self.test_session(): student = tf.contrib.distributions.StudentT(df=[2, -5.], mu=0., sigma=1., validate_args=True, name="S") with self.assertRaisesOpError(r"Condition x > 0 did not hold"): student.mean().eval()
14,475	[ 0.017313439399003983, 0.007568264380097389, 0.023576829582452774, -0.032819151878356934, 0.0007582586258649826, 0.025410018861293793, 0.026224767789244652, -0.006931740790605545, 0.0330992229282856, 0.024824416264891624, 0.007625551428645849, -0.024493424221873283, -0.057338036596775055, 0...	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentT", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "validate_args", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "S"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mean", "value": {"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Condition x > 0 did not hold"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaisesOpError", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testNegativeScaleFails", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testNegativeScaleFails(self): with self.test_session(): student = tf.contrib.distributions.StudentT(df=[5.], mu=0., sigma=[[3.], [-2.]], validate_args=True, name="S") with self.assertRaisesOpError(r"Condition x > 0 did not hold"): student.mean().eval()
14,476	[ 0.0035982185509055853, -0.01498156413435936, 0.042553890496492386, -0.0038595248479396105, 0.00017335949814878404, 0.0037183593958616257, 0.03882952407002449, 0.03133273497223854, 0.035081129521131516, 0.028881860896945, 0.011329282075166702, -0.0030290512368083, -0.05425560846924782, 0.02...	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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 3.2}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 4.6}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constant", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 4.2}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.4}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constant", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 6.4}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 8.8}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constant", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StudentTWithAbsDfSoftplusSigma", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "distributions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "contrib", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "df", "value": {"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "mu", "value": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "sigma", "value": {"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "abs", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "floor", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "df", "value": {"_type": "Name", "_fields": {"id": "student", "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": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Name", "_fields": {"id": "mu", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mu", "value": {"_type": "Name", "_fields": {"id": "student", "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": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sigma", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "softplus", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nn", "value": {"_type": "Name", "_fields": {"id": "tf", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sigma", "value": {"_type": "Name", "_fields": {"id": "student", "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": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testStudentTWithAbsDfSoftplusSigma", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testStudentTWithAbsDfSoftplusSigma(self): with self.test_session(): df = tf.constant([-3.2, -4.6]) mu = tf.constant([-4.2, 3.4]) sigma = tf.constant([-6.4, -8.8]) student = tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma( df=df, mu=mu, sigma=sigma) self.assertAllClose(tf.floor(tf.abs(df)).eval(), student.df.eval()) self.assertAllClose(mu.eval(), student.mu.eval()) self.assertAllClose(tf.nn.softplus(sigma).eval(), student.sigma.eval())
14,477	[ -0.013782980851829052, -0.0021976004354655743, 0.03883245214819908, 0.005517809651792049, 0.022232847288250923, 0.017996370792388916, 0.024726251140236855, -0.018758244812488556, 0.0030676943715661764, 0.05633245036005974, 0.019046831876039505, -0.010539247654378414, 0.0033129944931715727, ...	8	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "student", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": 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"_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "T", "value": {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_check", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _check(student): _assert_shape(student, 2., (3,)) xs = np.array([2., 3., 4.], dtype=np.float32) _assert_shape(student, xs, (3,)) xs = np.array([xs]) _assert_shape(student, xs, (1, 3)) xs = xs.T _assert_shape(student, xs, (3, 3))
14,478	[ -0.016445467248558998, -0.008881678804755211, 0.04350164160132408, 0.009028111584484577, 0.01278466172516346, 0.0241725854575634, 0.02538909949362278, -0.02055683545768261, -0.006893579848110676, 0.06510603427886963, 0.023789608851075172, -0.012390420772135258, 0.010914834216237068, 0.0714...	8	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "student", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": 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"Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "T", "value": {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_check2d", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _check2d(student): _assert_shape(student, 2., (1, 3)) xs = np.array([2., 3., 4.], dtype=np.float32) _assert_shape(student, xs, (1, 3)) xs = np.array([xs]) _assert_shape(student, xs, (1, 3)) xs = xs.T _assert_shape(student, xs, (3, 3))
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{"_type": "Load", "_fields": {}}, "attr": "T", "value": {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "student", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Name", "_fields": {"id": "_assert_shape", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_check2d_rows", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def 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{"kind": null, "value": ">"}}}}}}], "name": "ircformat", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def ircformat(color, text): if len(color) < 1: return text add = sub = '' if '_' in color: # italic add += '\x1D' sub = '\x1D' + sub color = color.strip('_') if '' in color: # bold add += '\x02' sub = '\x02' + sub color = color.strip('') # underline (\x1F) not supported # backgrounds (\x03FF,BB) not supported if len(color) > 0: # actual color - may have issues with ircformat("red", "blah")+"10" type stuff add += '\x03' + str(IRC_COLOR_MAP[color]).zfill(2) sub = '\x03' + sub return add + text + sub return '<'+add+'>'+text+'</'+sub+'>'
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{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "ircformat", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "ircformat", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "test": {"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "Name", "_fields": {"id": "tokensource", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ttype", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "format_unencoded", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def format_unencoded(self, tokensource, outfile): if self.linenos: self._format_unencoded_with_lineno(tokensource, outfile) return for ttype, value in tokensource: color = self.colorscheme.get(ttype) while color is None: ttype = ttype[:-1] color = self.colorscheme.get(ttype) if color: color = color[self.darkbg] spl = value.split('\n') for line in spl[:-1]: if line: outfile.write(ircformat(color, line)) outfile.write('\n') if spl[-1]: outfile.write(ircformat(color, spl[-1])) else: outfile.write(value)
14,483	[ 0.031607434153556824, 0.006154275964945555, -0.006386512890458107, -0.07111091911792755, 0.01733648031949997, -0.052485525608062744, 0.038226183503866196, -0.015118617564439774, -0.01812608540058136, 0.026776906102895737, 0.0034603287931531668, 0.031932562589645386, -0.013202663511037827, ...	13	{"_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": "tokensource", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "outfile", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_write_lineno", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_write_lineno", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ttype", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colorscheme", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "While", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "ttype", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "ttype", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ttype", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "colorscheme", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "darkbg", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_write_lineno", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "ircformat", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "ircformat", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Name", "_fields": {"id": "spl", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "test": {"_type": "Name", "_fields": {"id": "color", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "Name", "_fields": {"id": "tokensource", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ttype", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_format_unencoded_with_lineno", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _format_unencoded_with_lineno(self, tokensource, outfile): self._write_lineno(outfile) for ttype, value in tokensource: if value.endswith("\n"): self._write_lineno(outfile) value = value[:-1] color = self.colorscheme.get(ttype) while color is None: ttype = ttype[:-1] color = self.colorscheme.get(ttype) if color: color = color[self.darkbg] spl = value.split('\n') for line in spl[:-1]: self._write_lineno(outfile) if line: outfile.write(ircformat(color, line[:-1])) if spl[-1]: outfile.write(ircformat(color, spl[-1])) else: outfile.write(value) outfile.write("\n")
14,484	[ 0.03788122534751892, 0.02976207248866558, -0.018586011603474617, 0.0049185678362846375, 0.04240545257925987, 0.0426255501806736, -0.02753664366900921, 0.004799348302185535, 0.010540224611759186, -0.03423738852143288, -0.010093916207551956, -0.023342562839388847, -0.041280508041381836, 0.01...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_message", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ws", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "pending_read", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pending_read", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pending_read", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "pending_read", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"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": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Return", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gen", "value": {"_type": "Name", "_fields": {"id": "tornado", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "cause": null}}], "name": "read_msg", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def read_msg(self): # Because the Tornado Websocket client has no way to cancel # a pending read, we have to keep track of them... if self.pending_read is None: self.pending_read = self.ws.read_message() response = yield self.pending_read self.pending_read = None if response: response = json.loads(response) raise tornado.gen.Return(response)
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"keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_basic_command", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gen_test", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "testing", "value": {"_type": "Name", "_fields": {"id": "tornado", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "name": "CommonTests", "bases": [{"_type": "Name", "_fields": {"id": "TermTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class CommonTests(TermTestCase): @tornado.testing.gen_test def test_basic(self): for url in self.test_urls: tm = yield self.get_term_client(url) response = yield tm.read_msg() self.assertEqual(response, ['setup', {}]) # Check for initial shell prompt response = yield tm.read_msg() self.assertEqual(response[0], 'stdout') self.assertGreater(len(response[1]), 0) tm.close() @tornado.testing.gen_test def test_basic_command(self): for url in self.test_urls: tm = yield self.get_term_client(url) yield tm.read_all_msg() tm.write_stdin("whoami\r") (stdout, other) = yield tm.read_stdout() self.assertEqual(stdout[:6], "whoami") self.assertEqual(other, []) tm.close()
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null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "stdout"}}], "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": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertGreater", "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": "close", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_basic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_basic(self): for url in self.test_urls: tm = yield self.get_term_client(url) response = yield tm.read_msg() self.assertEqual(response, ['setup', {}]) # Check for initial shell prompt response = yield tm.read_msg() self.assertEqual(response[0], 'stdout') self.assertGreater(len(response[1]), 0) tm.close()
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"_fields": {"id": "tms", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_pids", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "MAX_TERMS", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "urls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "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": []}}}}], "name": "test_max_terminals", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gen_test", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "testing", "value": {"_type": "Name", "_fields": {"id": "tornado", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "name": "NamedTermTests", "bases": [{"_type": "Name", "_fields": {"id": "TermTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class NamedTermTests(TermTestCase): def test_new(self): response = self.fetch("/new", follow_redirects=False) self.assertEqual(response.code, 302) url = response.headers["Location"] # Check that the new terminal was created name = url.split('/')[2] self.assertIn(name, self.named_tm.terminals) @tornado.testing.gen_test def test_namespace(self): names = ["/named/1"]2 + ["/named/2"]2 tms = yield self.get_term_clients(names) pids = yield self.get_pids(tms) self.assertEqual(pids[0], pids[1]) self.assertEqual(pids[2], pids[3]) self.assertNotEqual(pids[0], pids[3]) @tornado.testing.gen_test def test_max_terminals(self): urls = ["/named/%d" % i for i in range(MAX_TERMS+1)] tms = yield self.get_term_clients(urls[:MAX_TERMS]) pids = yield self.get_pids(tms) # MAX_TERMS+1 should fail tm = yield self.get_term_client(urls[MAX_TERMS]) msg = yield tm.read_msg() self.assertEqual(msg, None)
14,489	[ -0.007546776439994574, -0.009766781702637672, 0.04494579881429672, -0.0029346852097660303, 0.004743865225464106, -0.032245881855487823, -0.026491232216358185, 0.042887020856142044, 0.021431108936667442, 0.0364130400121212, -0.01085197925567627, -0.03618980199098587, -0.007354541216045618, ...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_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_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_all_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "whoami\r"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write_stdin", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_stdout", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "stdout", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 6}}}}, "value": {"_type": "Name", "_fields": {"id": "stdout", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "whoami"}}], "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": "other", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_basic_command", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_basic_command(self): for url in self.test_urls: tm = yield self.get_term_client(url) yield tm.read_all_msg() tm.write_stdin("whoami\r") (stdout, other) = yield tm.read_stdout() self.assertEqual(stdout[:6], "whoami") self.assertEqual(other, []) tm.close()
14,490	[ -0.014790820889174938, -0.0038890838623046875, 0.09579858928918839, -0.029144207015633583, -0.009842321276664734, 0.005095451604574919, -0.02368992008268833, -0.01593909226357937, 0.013997967354953289, 0.024373413994908333, 0.0008026788709685206, -0.01757947914302349, 0.024428093805909157, ...	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": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/named/1"}}]}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/named/2"}}]}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_clients", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_pids", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "pids", "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": 0}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_namespace", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_namespace(self): names = ["/named/1"]2 + ["/named/2"]2 tms = yield self.get_term_clients(names) pids = yield self.get_pids(tms) self.assertEqual(pids[0], pids[1]) self.assertEqual(pids[2], pids[3]) self.assertNotEqual(pids[0], pids[3])
14,491	[ -0.03954240679740906, 0.007742749992758036, 0.02005605399608612, -0.02926189824938774, 0.03244704380631447, 0.03226577490568161, -0.0009427575278095901, 0.04057822749018669, 0.05401798337697983, 0.028614511713385582, 0.0025393760297447443, -0.02368142083287239, -0.01887780986726284, -0.013...	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": "Constant", "_fields": {"kind": null, "value": "/new"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fetch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "follow_redirects", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 302}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Location"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "terminals", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "named_tm", "value": {"_type": "Name", "_fields": {"id": "self", "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_new", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_new(self): response = self.fetch("/new", follow_redirects=False) self.assertEqual(response.code, 302) url = response.headers["Location"] # Check that the new terminal was created name = url.split('/')[2] self.assertIn(name, self.named_tm.terminals)
14,492	[ -0.0033966905903071165, 0.013440382666885853, 0.10986514389514923, 0.008563253097236156, 0.005735450424253941, 0.008257185108959675, 0.022156670689582825, 0.022010289132595062, 0.03473207727074623, 0.01900283806025982, 0.019295597448945045, -0.042955994606018066, -0.04074697941541672, 0.00...	10	{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_clients", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_pids", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "pids", "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": 0}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_unique_processes", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gen_test", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "testing", "value": {"_type": "Name", "_fields": {"id": "tornado", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}]}}, "right": {"_type": "Name", "_fields": {"id": "MAX_TERMS", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_clients", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_pids", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "MAX_TERMS", "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": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "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": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "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": 0}}, "value": {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "setup"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_max_terminals", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gen_test", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "testing", "value": {"_type": "Name", "_fields": {"id": "tornado", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "name": "UniqueTermTests", "bases": [{"_type": "Name", "_fields": {"id": "TermTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class UniqueTermTests(TermTestCase): @tornado.testing.gen_test def test_unique_processes(self): tms = yield self.get_term_clients(["/unique", "/unique"]) pids = yield self.get_pids(tms) self.assertNotEqual(pids[0], pids[1]) @tornado.testing.gen_test def test_max_terminals(self): tms = yield self.get_term_clients(['/unique'] * MAX_TERMS) pids = yield self.get_pids(tms) self.assertEqual(len(set(pids)), MAX_TERMS) # All PIDs unique # MAX_TERMS+1 should fail tm = yield self.get_term_client("/unique") msg = yield tm.read_msg() self.assertEqual(msg, None) # Connection closed # Close one tms[0].close() msg = yield tms[0].read_msg() # Closed self.assertEquals(msg, None) # Should be able to open back up to MAX_TERMS tm = yield self.get_term_client("/unique") msg = yield tm.read_msg() self.assertEquals(msg[0], 'setup')
14,493	[ -0.008081458508968353, 0.040139324963092804, 0.10386014729738235, -0.0034289786126464605, -0.018913153558969498, 0.0027872570790350437, -0.001297546667046845, 0.048319507390260696, 0.01637447439134121, 0.04747328162193298, 0.018377209082245827, -0.048911865800619125, -0.0268112625926733, -...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/named/%d"}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": 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"ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "MAX_TERMS", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "urls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "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": []}}}}], "name": "test_max_terminals", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_max_terminals(self): urls = ["/named/%d" % i for i in range(MAX_TERMS+1)] tms = yield self.get_term_clients(urls[:MAX_TERMS]) pids = yield self.get_pids(tms) # MAX_TERMS+1 should fail tm = yield self.get_term_client(urls[MAX_TERMS]) msg = yield tm.read_msg() self.assertEqual(msg, None)
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14,495	[ 0.015630457550287247, 0.03903999552130699, 0.09068846702575684, 0.012926576659083366, 0.001619436894543469, -0.0009380443370901048, 0.02955472283065319, 0.046211786568164825, 0.028889596462249756, 0.016367878764867783, 0.03979187831282616, -0.04334885627031326, -0.026041122153401375, 0.017...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}]}}, "right": {"_type": "Name", "_fields": {"id": "MAX_TERMS", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_clients", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_pids", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pids", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "MAX_TERMS", "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": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "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": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "tms", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/unique"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_term_client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read_msg", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "msg", "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": 0}}, "value": {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "setup"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_max_terminals", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_max_terminals(self): tms = yield self.get_term_clients(['/unique'] * MAX_TERMS) pids = yield self.get_pids(tms) self.assertEqual(len(set(pids)), MAX_TERMS) # All PIDs unique # MAX_TERMS+1 should fail tm = yield self.get_term_client("/unique") msg = yield tm.read_msg() self.assertEqual(msg, None) # Connection closed # Close one tms[0].close() msg = yield tms[0].read_msg() # Closed self.assertEquals(msg, None) # Should be able to open back up to MAX_TERMS tm = yield self.get_term_client("/unique") msg = yield tm.read_msg() self.assertEquals(msg[0], 'setup')
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"Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_p", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "partial_run_setup", "value": {"_type": "Name", "_fields": {"id": "wrapper_sess", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "NotImplementedError", "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": "testSessionInit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testSessionInit(self): self.assertEqual(0, self._observer["sess_init_count"]) wrapper_sess = TestDebugWrapperSession(self._sess, self._dump_root, self._observer) # Assert that on-session-init callback is invoked. self.assertEqual(1, self._observer["sess_init_count"]) # Assert that the request to the on-session-init callback carries the # correct session object. self.assertEqual(self._sess, self._observer["request_sess"]) # Verify that the wrapper session implements the session.SessionInterface. self.assertTrue(isinstance(wrapper_sess, session.SessionInterface)) self.assertEqual(self._sess.sess_str, wrapper_sess.sess_str) self.assertEqual(self._sess.graph, wrapper_sess.graph) self.assertEqual(self._sess.graph_def, wrapper_sess.graph_def) # Check that the partial_run_setup and partial_run are not implemented for # the debug wrapper session. with self.assertRaises(NotImplementedError): wrapper_sess.partial_run_setup(self._p)
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"Constant", "_fields": {"kind": null, "value": "c"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_c", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_a", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_b", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "matmul", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "p1"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_p", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_a", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ph", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "matmul", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "q"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_q", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_p", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_c", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "s"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_s", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "initializer", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_a", "value": {"_type": "Name", "_fields": {"id": "self", "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": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "initializer", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_b", "value": {"_type": "Name", "_fields": {"id": "self", "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": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def setUp(self): self._observer = { "sess_init_count": 0, "request_sess": None, "on_run_start_count": 0, "run_fetches": None, "run_feed_dict": None, "on_run_end_count": 0, "performed_action": None, "tf_error": None, } self._dump_root = tempfile.mkdtemp() self._sess = session.Session() self._a_init_val = np.array([[5.0, 3.0], [-1.0, 0.0]]) self._b_init_val = np.array([[2.0], [-1.0]]) self._c_val = np.array([[-4.0], [6.0]]) self._a_init = constant_op.constant( self._a_init_val, shape=[2, 2], name="a1_init") self._b_init = constant_op.constant( self._b_init_val, shape=[2, 1], name="b_init") self._ph = array_ops.placeholder(dtype=dtypes.float64, name="ph") self._a = variables.Variable(self._a_init, name="a1") self._b = variables.Variable(self._b_init, name="b") self._c = constant_op.constant(self._c_val, shape=[2, 1], name="c") # Matrix product of a and b. self._p = math_ops.matmul(self._a, self._b, name="p1") # Matrix product of a and ph. self._q = math_ops.matmul(self._a, self._ph, name="q") # Sum of two vectors. self._s = math_ops.add(self._p, self._c, name="s") # Initialize the variables. self._sess.run(self._a.initializer) self._sess.run(self._b.initializer)
14,498	[ -0.05016573145985603, 0.026096802204847336, 0.013350168243050575, -0.02513114921748638, 0.02194448933005333, -0.013470875099301338, -0.012613857164978981, 0.025831246748566628, 0.018045661970973015, 0.044685643166303635, 0.0012870358768850565, -0.048596542328596115, 0.06923740357160568, -0...	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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "TestDebugWrapperSessionBadAction", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "bad_debug_urls", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "file://foo"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_s", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Expected type .; got type ."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaisesRegexp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testRunStartBadURLs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testRunStartBadURLs(self): # debug_urls ought to be a list of str, not a str. So an exception should # be raised during a run() call. wrapper = TestDebugWrapperSessionBadAction( self._sess, bad_debug_urls="file://foo") with self.assertRaisesRegexp(TypeError, "Expected type .; got type ."): wrapper.run(self._s)
14,499	[ 0.012905276380479336, 0.0042012413032352924, 0.004388613626360893, -0.06604878604412079, 0.03133803978562355, 0.014732157811522484, 0.019662395119667053, 0.043891992419958115, 0.06473717838525772, 0.01962726190686226, 0.0389266237616539, -0.015762705355882645, 0.03576471284031868, -0.01229...	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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dump_root", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "TestDebugWrapperSession", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "on_run_start_count"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "on_run_end_count"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_s", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}], "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": 1}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "on_run_start_count"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_s", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "run_fetches"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "run_feed_dict"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dump_root", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DebugDumpDir", "value": {"_type": "Name", "_fields": {"id": "debug_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dump", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumped_tensor_data", "value": {"_type": "Name", "_fields": {"id": "dump", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "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": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "on_run_end_count"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG_RUN", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "OnRunStartAction", "value": {"_type": "Name", "_fields": {"id": "framework", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "performed_action"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tf_error"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testSessionRun", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testSessionRun(self): wrapper = TestDebugWrapperSession( self._sess, self._dump_root, self._observer) # Check initial state of the observer. self.assertEqual(0, self._observer["on_run_start_count"]) self.assertEqual(0, self._observer["on_run_end_count"]) s = wrapper.run(self._s) # Assert the run return value is correct. self.assertAllClose(np.array([[3.0], [4.0]]), s) # Assert the on-run-start method is invoked. self.assertEqual(1, self._observer["on_run_start_count"]) # Assert the on-run-start request reflects the correct fetch. self.assertEqual(self._s, self._observer["run_fetches"]) # Assert the on-run-start request reflects the correct feed_dict. self.assertIsNone(self._observer["run_feed_dict"]) # Assert the file debug URL has led to dump on the filesystem. dump = debug_data.DebugDumpDir(self._dump_root) self.assertEqual(7, len(dump.dumped_tensor_data)) # Assert the on-run-end method is invoked. self.assertEqual(1, self._observer["on_run_end_count"]) # Assert the performed action field in the on-run-end callback request is # correct. self.assertEqual( framework.OnRunStartAction.DEBUG_RUN, self._observer["performed_action"]) # No TensorFlow runtime error should have happened. self.assertIsNone(self._observer["tf_error"])
14,500	[ 0.012987631373107433, -0.01018661167472601, 0.042494092136621475, -0.025448575615882874, 0.06947484612464905, 0.04979589581489563, 0.005745680071413517, 0.02535281330347061, 0.08264203369617462, -0.03145759925246239, 0.01885301247239113, -0.010102820582687855, 0.030212702229619026, 0.03002...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dump_root", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "TestDebugWrapperSession", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 42}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constant", "value": {"_type": "Name", "_fields": {"id": "constant_op", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 42}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Name", "_fields": {"id": "foo", "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": "Name", "_fields": {"id": "foo", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "run_fetches"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_observer", "value": {"_type": "Name", "_fields": {"id": "self", "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": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_default", "value": {"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testUsingWrappedSessionShouldSupportEvalWithAsDefault", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def testUsingWrappedSessionShouldSupportEvalWithAsDefault(self): wrapper = TestDebugWrapperSession(self._sess, self._dump_root, self._observer) with wrapper.as_default(): foo = constant_op.constant(42, name="foo") self.assertEqual(42, foo.eval()) self.assertEqual(foo, self._observer["run_fetches"])