Module `redvox.tests`

Tests module

Expand source code

"""
Tests module
"""

import typing

import numpy
import os
import unittest


TEST_DATA_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "test_data")
LA_TEST_DATA_DIR = os.path.join(TEST_DATA_DIR, "location_analyzer_test_data")
APIX_READER_TEST_DATA_DIR = os.path.join(TEST_DATA_DIR, "apix_reader_test_data")


def test_data(file: str) -> str:
    return os.path.join(TEST_DATA_DIR, file)


class ArraysTestCase(unittest.TestCase):
    def setUp(self):
        self.empty_array = numpy.array([])

    def assertArraysEqual(self, a1: numpy.ndarray, a2: numpy.ndarray):
        self.assertTrue(numpy.array_equal(a1, a2), msg="\n{} \n!=\n {}".format(a1, a2))

    def assertSampledArray(self, array: numpy.ndarray, expected_size: int, samples: typing.List, values: typing.List):
        if len(array) != expected_size:
            self.assertEqual(len(array), expected_size)

        sampled_array = array.take(samples)
        self.assertArraysEqual(sampled_array, numpy.array(values))

    @staticmethod
    def as_array(lst: typing.List) -> numpy.ndarray:
        return numpy.array(lst)

Sub-modules

redvox.tests.api1000

redvox.tests.api900

redvox.tests.cli

redvox.tests.cloud

redvox.tests.common

redvox.tests.event_stream_test

There is a known issue when exiting programs in which a DataWindow has been created. This issue can be mitigated by explicitly deleting the …

redvox.tests.ios_value_test

Testing DataWindowArrow

redvox.tests.local_tests

tests that cannot be sent to git, but must pass are here

redvox.tests.me_test_big

Data set available at: https://drive.google.com/file/d/14YjOjS3Tvm8I3M84KIPxgCzsVDbUMwoM/view?usp=sharing …

redvox.tests.moar_test

Testing DataWindowArrow

redvox.tests.more tests

redvox.tests.my_tests

redvox.tests.pyarrow_demo

redvox.tests.repr_test

redvox.tests.run_me_test

redvox.tests.session_model_test

redvox.tests.test_settings

Functions

def test_data(file: str) ‑> str

Expand source code

def test_data(file: str) -> str:
    return os.path.join(TEST_DATA_DIR, file)

Classes

class ArraysTestCase (methodName='runTest')

A class whose instances are single test cases.

By default, the test code itself should be placed in a method named 'runTest'.

If the fixture may be used for many test cases, create as many test methods as are needed. When instantiating such a TestCase subclass, specify in the constructor arguments the name of the test method that the instance is to execute.

Test authors should subclass TestCase for their own tests. Construction and deconstruction of the test's environment ('fixture') can be implemented by overriding the 'setUp' and 'tearDown' methods respectively.

If it is necessary to override the init method, the base class init method must always be called. It is important that subclasses should not change the signature of their init method, since instances of the classes are instantiated automatically by parts of the framework in order to be run.

When subclassing TestCase, you can set these attributes: * failureException: determines which exception will be raised when the instance's assertion methods fail; test methods raising this exception will be deemed to have 'failed' rather than 'errored'. * longMessage: determines whether long messages (including repr of objects used in assert methods) will be printed on failure in addition to any explicit message passed. * maxDiff: sets the maximum length of a diff in failure messages by assert methods using difflib. It is looked up as an instance attribute so can be configured by individual tests if required.

Create an instance of the class that will use the named test method when executed. Raises a ValueError if the instance does not have a method with the specified name.

Expand source code

class ArraysTestCase(unittest.TestCase):
    def setUp(self):
        self.empty_array = numpy.array([])

    def assertArraysEqual(self, a1: numpy.ndarray, a2: numpy.ndarray):
        self.assertTrue(numpy.array_equal(a1, a2), msg="\n{} \n!=\n {}".format(a1, a2))

    def assertSampledArray(self, array: numpy.ndarray, expected_size: int, samples: typing.List, values: typing.List):
        if len(array) != expected_size:
            self.assertEqual(len(array), expected_size)

        sampled_array = array.take(samples)
        self.assertArraysEqual(sampled_array, numpy.array(values))

    @staticmethod
    def as_array(lst: typing.List) -> numpy.ndarray:
        return numpy.array(lst)

Ancestors

unittest.case.TestCase

Subclasses

Static methods

def as_array(lst: List) ‑> numpy.ndarray

Expand source code

@staticmethod
def as_array(lst: typing.List) -> numpy.ndarray:
    return numpy.array(lst)

Methods

def assertArraysEqual(self, a1: numpy.ndarray, a2: numpy.ndarray)

Expand source code

def assertArraysEqual(self, a1: numpy.ndarray, a2: numpy.ndarray):
    self.assertTrue(numpy.array_equal(a1, a2), msg="\n{} \n!=\n {}".format(a1, a2))

def assertSampledArray(self, array: numpy.ndarray, expected_size: int, samples: List, values: List)

Expand source code

def assertSampledArray(self, array: numpy.ndarray, expected_size: int, samples: typing.List, values: typing.List):
    if len(array) != expected_size:
        self.assertEqual(len(array), expected_size)

    sampled_array = array.take(samples)
    self.assertArraysEqual(sampled_array, numpy.array(values))

def setUp(self)

Hook method for setting up the test fixture before exercising it.

Expand source code

def setUp(self):
    self.empty_array = numpy.array([])