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How to use test_hypothesis method in pandera

Best Python code snippet using pandera_python

tests.py

Source:tests.py

1"""This file contains tests for the hypotheses application.2These tests include model tests for Hypothesis objects.3"""4import datetime5from django.test import TestCase6from django.test.client import Client7from django.contrib.auth.models import User8from experimentdb.hypotheses.models import Hypothesis, Manipulation, Effect, Process, Context, Evidence9from experimentdb.proteins.models import Protein10from experimentdb.reagents.models import Chemical11MODELS = [Hypothesis, Manipulation, Effect, Process, Context, Evidence]12class HypothesisModelTests(TestCase):13    """Tests the model attributes of Hypothesis objects contained in the hypotheses app."""14    fixtures = ['test_manipulation','test_protein', 'test_process', 'test_entity', 'test_context', 'test_evidence', 'test_hypothesis']15    16    def setUp(self):17        """Instantiate the test client.  Creates a test user."""18        self.client = Client()19        self.test_user = User.objects.create_user('blah', 'blah@blah.com', 'blah')20        self.test_user.is_superuser = True21        self.test_user.save()22        self.client.login(username='blah', password='blah')23    def tearDown(self):24        """Depopulate created model instances from test database."""25        for model in MODELS:26            for obj in model.objects.all():27                obj.delete()28    def test_create_hypothesis_minimal(self):29        """This is a test for creating a new Hypothesis object, with only the minimum fields being entered.  It also tests the unicode representation."""30        test_hypothesis = Hypothesis(31		    manipulation = Manipulation.objects.get(pk=1), 32			effect = Effect.objects.get(pk=1),33			process = Process.objects.get(pk=1)34			)35        test_hypothesis.save()36        self.assertEquals(test_hypothesis.__unicode__(), "Fixture Protein Overexpression positively regulates glucose import")37		38    def test_create_hypothesis_all_fields_process(self):39        """This is a test for creating a new Hypothesis object, with all fields being entered.  There is one test for process and one for entity (since both cannot be entered simultaneously).  It also tests the unicode representation."""40        test_hypothesis = Hypothesis(41		    manipulation = Manipulation.objects.get(pk=1), 42			effect = Effect.objects.get(pk=1),43			process = Process.objects.get(pk=1),44			context = Context.objects.get(pk=1),45			)46        test_hypothesis.save()47        test_evidence = Evidence.objects.get(pk=1)48        test_hypothesis.evidence.add(test_evidence) # tests the addition of evidence as a m2m field49        test_hypothesis.identical_hypotheses.add(test_hypothesis)	# tests the addition of a symmetrical hypothesis as a m2m field50        self.assertEquals(test_hypothesis.__unicode__(), 'Fixture Protein Overexpression positively regulates glucose import in Fixture Context')51def test_create_hypothesis_all_fields_entity(self):		52        """This is a test for creating a new Hypothesis object, with all fields being entered.  There is one test for process and one for entity (since both cannot be entered simultaneously).  It also tests the unicode representation."""53	54        test_hypothesis = Hypothesis(55		    manipulation = Manipulation.objects.get(pk=1), 56			effect = Effect.objects.get(pk=1),57			process = Process.objects.get(pk=1),58			context = Context.objects.get(pk=1),59			evidence = Evidence.objects.get(pk=1),60			)61        test_hypothesis.save()62        test_evidence = Evidence.objects.get(pk=1)63        test_hypothesis.evidence.add(test_evidence) # tests the addition of evidence as a m2m field64        test_hypothesis.identical_hypotheses.add(test_hypothesis)	# tests the addition of a symmetrical hypothesis as a m2m field		65        self.assertEquals(test_hypothesis.__unicode__(), 'Fixture Protein Overexpression positively regulates glucose import in Fixture Context')			66		67def test_create_hypothesis_create_date(self):68        """This is a test for checking that the create and modified date are being set correctly."""69        test_hypothesis = Hypothesis(70		    manipulation = Manipulation.objects.get(pk=1), 71			effect = Effect.objects.get(pk=1),72			process = Process.objects.get(pk=1)73			)74        test_hypothesis.save()75        self.assertEquals(test_hypothesis.__unicode__(), "Fixture Protein Overexpression positively regulates glucose import")76        self.assertEquals(test_hypothesis.create_date, datetime.date.today())		77        self.assertEquals(test_hypothesis.modified_date, datetime.date.today())			78		79		80class ManipulationModelTests(TestCase):81    """Tests the model attributes of Manipulation objects contained in the hypotheses app."""82    fixtures = ['test_protein','test_chemical']83    84    def setUp(self):85        """Instantiate the test client.  Creates a test user."""86        self.client = Client()87        self.test_user = User.objects.create_user('blah', 'blah@blah.com', 'blah')88        self.test_user.is_superuser = True89        self.test_user.save()90        self.client.login(username='blah', password='blah')91    def tearDown(self):92        """Depopulate created model instances from test database."""93        for model in MODELS:94            for obj in model.objects.all():95                obj.delete()96    def test_create_manipulation_minimal_treatment_protein_added(self):97        """This is a test for creating a new Manipulation object, with only the minimum fields being entered.  It also tests the unicode representation.  This tests for adding a protein."""98        test_manipulation = Manipulation(99		    type = "Treatment",100			protein_added = Protein.objects.get(pk=1)101			)102        test_manipulation.save()103        self.assertEquals(test_manipulation.__unicode__(), "Fixture Protein Treatment")104    def test_create_manipulation_minimal_treatment_chemical(self):105        """This is a test for creating a new Manipulation object, with only the minimum fields being entered.  It also tests the unicode representation.  This tests for chemcial treatment."""106        test_manipulation = Manipulation(107		    type = "Treatment",108			chemical = Chemical.objects.get(pk=1)109			)110        test_manipulation.save()111        self.assertEquals(test_manipulation.__unicode__(), "Test Chemical Treatment")112    def test_create_manipulation_minimal_overexpression(self):113        """This is a test for creating a new Manipulation object, with only the minimum fields being entered.  It also tests the unicode representation.  This tests for protein overexpression."""114        test_manipulation = Manipulation(115		    type = "Overexpression",116			protein = Protein.objects.get(pk=1)117			)118        test_manipulation.save()119        self.assertEquals(test_manipulation.__unicode__(), "Fixture Protein Overexpression")120    def test_create_manipulation_minimal_knockdown(self):121        """This is a test for creating a new Manipulation object, with only the minimum fields being entered.  It also tests the unicode representation.  This tests for protein knockdown."""122        test_manipulation = Manipulation(123		    type = "Knockdown",124			protein = Protein.objects.get(pk=1)125			)126        test_manipulation.save()127        self.assertEquals(test_manipulation.__unicode__(), "Fixture Protein Knockdown")	128    def test_create_manipulation_minimal_knockout(self):129        """This is a test for creating a new Manipulation object, with only the minimum fields being entered.  It also tests the unicode representation.  This tests for knockout."""130        test_manipulation = Manipulation(131		    type = "Knockout",132			protein = Protein.objects.get(pk=1)133			)134        test_manipulation.save()...

5 Model.py

Source:5 Model.py

1from tqdm import tqdm2import numpy as np3from keras.models import Input, Model,Sequential4from keras.layers import Dense,Dropout,Concatenate,Input5import tensorflow as tf67##labels = ["[0,neutral]","[1,entailment]",,"[2,contradiction]"]8embeddings = np.load("Sentence_Embeddings.npy",allow_pickle = True)9encoded_labels = np.load("encoded_labels.npy",allow_pickle = True)10print("Here")1112test_premise = [embeddings[i] for i in range(9843*2) if i%2==0]13test_premise = np.array(test_premise)1415test_hypothesis =[embeddings[i] for i in range(9843*2) if i%2==1]16test_hypothesis = np.array(test_hypothesis)1718test_labels = encoded_labels[:9843]19print("Here")20train_premise = [embeddings[i] for i in range(9843*2,len(embeddings)) if i%2==0]21train_premise = np.array(train_premise)2223train_hypothesis =[embeddings[i] for i in range(9843*2,len(embeddings)) if i%2==1]24train_hypothesis = np.array(train_hypothesis)2526train_labels = encoded_labels[9843:len(embeddings)]27print("Here")2829Premise = Input(shape=(300,))30Hypothesis = Input(shape=(300,))31Merged = Concatenate(axis=1)([Premise,Hypothesis])32x = Dense(300,activation="tanh",use_bias=True)(Merged)33for i in range(2):34	x = Dense(300,activation="tanh",use_bias=True ,kernel_regularizer='l2')(x)35	Dropout(0.3)3637x = Dense(3,activation="softmax",use_bias=True)(x)38model = Model(inputs=[Premise,Hypothesis],outputs=x)39model.compile(optimizer="adam",loss="sparse_categorical_crossentropy",metrics="accuracy")40#model.summary()41model.fit(42	x = [train_premise,train_hypothesis],43	y = train_labels,44	batch_size=64,45	epochs=30,46	validation_data=([test_premise,test_hypothesis],test_labels)47	)
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