KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use test_is_nan method in assertpy

Best Python code snippet using assertpy_python

datareader_wave.py

Source:datareader_wave.py

1import os2import numpy as np3import pandas as pd4from dataframe import DataFrame5class DataReader(object):6    def __init__(self, data_dir):7        data_cols = [8            'data',9            'is_nan',10            'page_id',11            'project',12            'access',13            'agent',14            'test_data',15            'test_is_nan'16        ]17        data = [np.load(os.path.join(data_dir, '{}.npy'.format(i))) for i in data_cols]18        self.test_df = DataFrame(columns=data_cols, data=data)19        self.train_df, self.val_df = self.test_df.train_test_split(train_size=0.95)20    21    def describe(self, logger):22        logger.info('')23        logger.info('Data dimensions:')24        logger.info('train size', len(self.train_df))25        logger.info('val size', len(self.val_df))26        logger.info('test size', len(self.test_df))27        # logger.info('    [[data]] {}'.format(self.data.shape))28        #logger.info('Split seed = {}'.format(self.seed))29        logger.info('')30    def train_batch_generator(self, batch_size):31        return self.batch_generator(32            batch_size=batch_size,33            df=self.train_df,34            shuffle=True,35            num_epochs=10000,36            is_test=False37        )38    def val_batch_generator(self, batch_size):39        return self.batch_generator(40            batch_size=batch_size,41            df=self.val_df,42            shuffle=True,43            num_epochs=10000,44            is_test=False45        )46    def test_batch_generator(self, batch_size):47        return self.batch_generator(48            batch_size=batch_size,49            df=self.test_df,50            shuffle=True,51            num_epochs=1,52            is_test=True53        )54    def batch_generator(self, batch_size, df, shuffle=True, num_epochs=10000, is_test=False):55        batch_gen = df.batch_generator(56            batch_size=batch_size,57            shuffle=shuffle,58            num_epochs=num_epochs,59            allow_smaller_final_batch=is_test60        )61        data_col = 'test_data' if is_test else 'data'62        is_nan_col = 'test_is_nan' if is_test else 'is_nan'63        for batch in batch_gen:64            num_decode_steps = 6465            full_seq_len = batch[data_col].shape[1]66            max_encode_length = full_seq_len - num_decode_steps if not is_test else full_seq_len67            x_encode = np.zeros([len(batch), max_encode_length])68            y_decode = np.zeros([len(batch), num_decode_steps])69            is_nan_encode = np.zeros([len(batch), max_encode_length])70            is_nan_decode = np.zeros([len(batch), num_decode_steps])71            encode_len = np.zeros([len(batch)])72            decode_len = np.zeros([len(batch)])73            for i, (seq, nan_seq) in enumerate(zip(batch[data_col], batch[is_nan_col])):74                rand_len = np.random.randint(max_encode_length - 365 + 1, max_encode_length + 1)75                x_encode_len = max_encode_length if is_test else rand_len76                x_encode[i, :x_encode_len] = seq[:x_encode_len]77                is_nan_encode[i, :x_encode_len] = nan_seq[:x_encode_len]78                encode_len[i] = x_encode_len79                decode_len[i] = num_decode_steps80                if not is_test:81                    y_decode[i, :] = seq[x_encode_len: x_encode_len + num_decode_steps]82                    is_nan_decode[i, :] = nan_seq[x_encode_len: x_encode_len + num_decode_steps]83            batch['x_encode'] = x_encode84            batch['encode_len'] = encode_len85            batch['y_decode'] = y_decode86            batch['decode_len'] = decode_len87            batch['is_nan_encode'] = is_nan_encode88            batch['is_nan_decode'] = is_nan_decode...

my_mod_test.py

Source:my_mod_test.py

...7class TestMyMod(unittest.TestCase):8    def test_add_col(self):9        df.add_col('Name', ['Connecticut', 'Colorado', 'California', 'Texas'])10        self.assertTrue('Name'in df.df.columns.tolist())11    def test_is_nan(self):12        self.assertTrue(isinstance(df.df.isna().sum(), pd.Series))13    def test_split_df(self):14        train, test = df.split_df()15        self.assertTrue(type(train), pd.DataFrame)16        self.assertTrue(type(test), pd.DataFrame)17if __name__ == '__main__':...

test_core.py

Source:test_core.py

1import numpy as np2import unittest3from py_ebay import is_nan4class TestCore(unittest.TestCase):5    def test_is_nan(self):6        assert(is_nan(np.NAN))7        assert(not is_nan(1))8        assert(not is_nan('1'))...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.