Best Python code snippet using SeleniumBase
dlt_workflow_refactored_unit_tests.py
1# Databricks notebook source2# MAGIC %run ./dlt3# COMMAND ----------4# MAGIC %run ./dlt_workflow_refactored5# COMMAND ----------6from pyspark.sql import Row7import unittest8# COMMAND ----------9from pyspark.sql.functions import lit10import datetime11timestamp = datetime.datetime.fromisoformat("2000-01-01T00:00:00")12def timestamp_provider():13 return lit(timestamp)14# COMMAND ----------15from pyspark.sql.functions import when, col16from pyspark.sql import Row17class FunctionUnitTests(unittest.TestCase):18 @classmethod19 def setUpClass(cls):20 container.register(21 timestamp_provider=timestamp_provider22 )23 24 def test_add_ingest_columns(self):25 df = spark.range(1)26 df = df.transform(container.add_ingest_columns)27 result = df.collect()28 self.assertEqual(1, len(result), "Only one record expected")29 self.assertIn("ingest_timestamp", df.columns, "Ingest timestamp column not present")30 self.assertIn("ingest_source", df.columns, "Ingest source column not present")31 self.assertEqual(url.split("/")[-1], result[0].ingest_source, "Ingest source not correct")32 self.assertEqual(timestamp, result[0].ingest_timestamp, "Ingest timestamp not correct")33 34 def test_add_processed_timestamp(self):35 df = spark.range(1)36 df = df.transform(container.add_processed_timestamp)37 result = df.collect()38 self.assertEqual(1, len(result), "Only one record expected")39 self.assertIn("processed_timestamp", df.columns, "Processed timestamp column not present")40 self.assertEqual(timestamp, result[0].processed_timestamp, "Processed timestamp not correct")41 42 def test_add_null_index_array(self):43 df = spark.createDataFrame([44 Row(id=1, test_null=None),45 Row(id=2, test_null=1)46 ])47 df = df.transform(container.add_null_index_array)48 result = df.collect()49 self.assertEqual(2, len(result), "Two records are expected") 50 self.assertIn("nulls", df.columns, "Nulls column not present")51 self.assertIsNone(result[0].test_null, "First record should contain null")52 self.assertIsNotNone(result[1].test_null, "Second record should not contain null")53 self.assertIn(1, result[0].nulls, "Nulls array should include 1")54 self.assertIsNot(result[1].nulls, "Nulls array should be empty")55 56 def test_filter_null_index_empty(self):57 df = spark.createDataFrame([58 Row(id=1, test_null=None, nulls=[1]),59 Row(id=2, test_null=1, nulls=[])60 ])61 df = df.transform(container.filter_null_index_empty)62 result = df.collect()63 self.assertEqual(1, len(result), "One record is expected")64 self.assertNotIn("nulls", df.columns, "Nulls column not present")65 66 def test_filter_null_index_not_empty(self):67 df = spark.createDataFrame([68 Row(id=1, test_null=None, nulls=[1]),69 Row(id=2, test_null=1, nulls=[])70 ])71 df = df.transform(container.filter_null_index_not_empty)72 result = df.collect()73 self.assertEqual(1, len(result), "One record is expected")74 self.assertIn("nulls", df.columns, "Nulls column not present")75 76 def test_agg_count_by_country(self):77 df = spark.createDataFrame([78 Row(country="Country0"),79 Row(country="Country1"),80 Row(country="Country0")81 ])82 df = df.transform(container.agg_count_by_country)83 result = df.collect()84 self.assertEqual(2, len(result), "Two records expected")85 self.assertIn("country", df.columns, "Country column not present")86 self.assertIn("count", df.columns, "Count column not present")87 d = {r[0]: r[1] for r in result}88 self.assertEqual(2, d.get("Country0", -1), "Country0 count should be 2")...
test_plots.py
Source: test_plots.py
...7from data_tools import plots8class ChordplotTestCase(unittest.TestCase):9 @unittest.skip('** NOTE **: data_tools.plots.chordplot test unit is not'10 + ' implemented.')11 def test_null(self):12 pass13class ClusterHmapTestCase(unittest.TestCase):14 @unittest.skip('** NOTE **: data_tools.plots.cluster_hmap test unit is not'15 + ' implemented.')16 def test_null(self):17 pass18class DensityTestCase(unittest.TestCase):19 @unittest.skip('** NOTE **: data_tools.plots.density test unit is not'20 + ' implemented.')21 def test_null(self):22 pass23class PcaTestCase(unittest.TestCase):24 @unittest.skip('** NOTE **: data_tools.plots.pca test unit is not'25 + ' implemented.')26 def test_null(self):27 pass28class PhasePortraitTestCase(unittest.TestCase):29 @unittest.skip('** NOTE **: data_tools.plots.phase_portrait test unit is'30 + ' not implemented.')31 def test_null(self):32 pass33class PianoConsensusTestCase(unittest.TestCase):34 @unittest.skip('** NOTE **: data_tools.plots.piano_consensus test unit is'35 + ' not implemented.')36 def test_null(self):37 pass38class SimilarityHeatmapTestCase(unittest.TestCase):39 @unittest.skip('** NOTE **: data_tools.plots.similarity_heatmap test unit'40 + ' is not implemented.')41 def test_null(self):42 pass43class SimilarityHistogramTestCase(unittest.TestCase):44 @unittest.skip('** NOTE **: data_tools.plots.similarity_histogram test'45 + ' unit is not implemented.')46 def test_null(self):47 pass48class UpSetWrapTestCase(unittest.TestCase):49 @unittest.skip('** NOTE **: data_tools.plots.upset_wrap test unit is not'50 + ' implemented.')51 def test_null(self):52 pass53class VennTestCase(unittest.TestCase):54 @unittest.skip('** NOTE **: data_tools.plots.venn test unit is not'55 + ' implemented.')56 def test_null(self):57 pass58class VolcanoTestCase(unittest.TestCase):59 @unittest.skip('** NOTE **: data_tools.plots.volcano test unit is not'60 + ' implemented.')61 def test_null(self):...
Check out the latest blogs from LambdaTest on this topic:
The QA testing profession requires both educational and long-term or experience-based learning. One can learn the basics from certification courses and exams, boot camp courses, and college-level courses where available. However, developing instinctive and practical skills works best when built with work experience.
Ever since the Internet was invented, web developers have searched for the most efficient ways to display content on web browsers.
In general, software testers have a challenging job. Software testing is frequently the final significant activity undertaken prior to actually delivering a product. Since the terms “software” and “late” are nearly synonymous, it is the testers that frequently catch the ire of the whole business as they try to test the software at the end. It is the testers who are under pressure to finish faster and deem the product “release candidate” before they have had enough opportunity to be comfortable. To make matters worse, if bugs are discovered in the product after it has been released, everyone looks to the testers and says, “Why didn’t you spot those bugs?” The testers did not cause the bugs, but they must bear some of the guilt for the bugs that were disclosed.
Xamarin is an open-source framework that offers cross-platform application development using the C# programming language. It helps to simplify your overall development and management of cross-platform software applications.
When software developers took years to create and introduce new products to the market is long gone. Users (or consumers) today are more eager to use their favorite applications with the latest bells and whistles. However, users today don’t have the patience to work around bugs, errors, and design flaws. People have less self-control, and if your product or application doesn’t make life easier for users, they’ll leave for a better solution.
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.
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
Get 100 minutes of automation test minutes FREE!!