Module redvox.tests.api900.test_migrations
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from typing import Any, List
import os
import unittest
import redvox.api900.migrations as migrations
import numpy as np
def arrays_equal(array_1: np.ndarray, array_2: np.ndarray) -> bool:
return np.array_equal(array_1, array_2) and array_1.dtype == array_2.dtype
def scalars_equal(scalar_1: Any, scalar_2: Any) -> bool:
return scalar_1 == scalar_2 and type(scalar_1) == type(scalar_2)
def lists_equal(list_1: List[Any], list_2: List[Any]) -> bool:
if len(list_1) != len(list_2):
return False
for i in range(len(list_1)):
v_1 = list_1[i]
v_2 = list_2[i]
if not scalars_equal(v_1, v_2):
return False
return True
class MigrationsTests(unittest.TestCase):
def setUp(self) -> None:
self.list_of_ints = [1, 2, 3]
self.list_of_floats = [1.0, 2.0, 3.0]
self.array_of_ints = np.array(self.list_of_ints)
self.array_of_floats = np.array(self.list_of_floats)
self.scalar_int = 1
self.scalar_float = 1.0
self.scalar_str = "foo"
self.prev_migration: bool = migrations.are_migrations_enabled()
def tearDown(self) -> None:
if self.prev_migration:
migrations.enable_migrations(True)
else:
migrations.enable_migrations(False)
# Since migrations are disabled by default, should always get the same value back
def test_no_migrations(self):
migrations.enable_migrations(False)
self.assertTrue(arrays_equal(self.array_of_ints,
migrations.maybe_get_float(self.array_of_ints)))
self.assertTrue(arrays_equal(self.array_of_floats,
migrations.maybe_get_float(self.array_of_floats)))
self.assertTrue(lists_equal(self.list_of_ints,
migrations.maybe_get_float(self.list_of_ints)))
self.assertTrue(lists_equal(self.list_of_floats,
migrations.maybe_get_float(self.list_of_floats)))
self.assertTrue(scalars_equal(self.scalar_int,
migrations.maybe_get_float(self.scalar_int)))
self.assertTrue(scalars_equal(self.scalar_float,
migrations.maybe_get_float(self.scalar_float)))
self.assertTrue(scalars_equal(self.scalar_str,
migrations.maybe_get_float(self.scalar_str)))
def test_convert_array_to_float(self):
migrations.enable_migrations(True)
self.assertTrue(arrays_equal(self.array_of_floats,
migrations.maybe_get_float(self.array_of_floats)))
self.assertTrue(arrays_equal(self.array_of_floats,
migrations.maybe_get_float(self.array_of_ints)))
def test_convert_list_to_float(self):
migrations.enable_migrations(True)
self.assertTrue(lists_equal(self.list_of_floats,
migrations.maybe_get_float(self.list_of_floats)))
self.assertTrue(lists_equal(self.list_of_floats,
migrations.maybe_get_float(self.list_of_ints)))
def test_convert_scalar_to_float(self):
migrations.enable_migrations(True)
self.assertTrue(scalars_equal(self.scalar_float,
migrations.maybe_get_float(self.scalar_float)))
self.assertTrue(scalars_equal(self.scalar_float,
migrations.maybe_get_float(self.scalar_int)))
# Bad types should return themselves
def test_bad_data(self):
migrations.enable_migrations(True)
self.assertTrue(scalars_equal(None,
migrations.maybe_get_float(None)))
self.assertTrue(scalars_equal(self.scalar_str,
migrations.maybe_get_float(self.scalar_str)))
Functions
def arrays_equal(array_1: numpy.ndarray, array_2: numpy.ndarray) ‑> bool
-
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def arrays_equal(array_1: np.ndarray, array_2: np.ndarray) -> bool: return np.array_equal(array_1, array_2) and array_1.dtype == array_2.dtype
def lists_equal(list_1: List[Any], list_2: List[Any]) ‑> bool
-
Expand source code
def lists_equal(list_1: List[Any], list_2: List[Any]) -> bool: if len(list_1) != len(list_2): return False for i in range(len(list_1)): v_1 = list_1[i] v_2 = list_2[i] if not scalars_equal(v_1, v_2): return False return True
def scalars_equal(scalar_1: Any, scalar_2: Any) ‑> bool
-
Expand source code
def scalars_equal(scalar_1: Any, scalar_2: Any) -> bool: return scalar_1 == scalar_2 and type(scalar_1) == type(scalar_2)
Classes
class MigrationsTests (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 MigrationsTests(unittest.TestCase): def setUp(self) -> None: self.list_of_ints = [1, 2, 3] self.list_of_floats = [1.0, 2.0, 3.0] self.array_of_ints = np.array(self.list_of_ints) self.array_of_floats = np.array(self.list_of_floats) self.scalar_int = 1 self.scalar_float = 1.0 self.scalar_str = "foo" self.prev_migration: bool = migrations.are_migrations_enabled() def tearDown(self) -> None: if self.prev_migration: migrations.enable_migrations(True) else: migrations.enable_migrations(False) # Since migrations are disabled by default, should always get the same value back def test_no_migrations(self): migrations.enable_migrations(False) self.assertTrue(arrays_equal(self.array_of_ints, migrations.maybe_get_float(self.array_of_ints))) self.assertTrue(arrays_equal(self.array_of_floats, migrations.maybe_get_float(self.array_of_floats))) self.assertTrue(lists_equal(self.list_of_ints, migrations.maybe_get_float(self.list_of_ints))) self.assertTrue(lists_equal(self.list_of_floats, migrations.maybe_get_float(self.list_of_floats))) self.assertTrue(scalars_equal(self.scalar_int, migrations.maybe_get_float(self.scalar_int))) self.assertTrue(scalars_equal(self.scalar_float, migrations.maybe_get_float(self.scalar_float))) self.assertTrue(scalars_equal(self.scalar_str, migrations.maybe_get_float(self.scalar_str))) def test_convert_array_to_float(self): migrations.enable_migrations(True) self.assertTrue(arrays_equal(self.array_of_floats, migrations.maybe_get_float(self.array_of_floats))) self.assertTrue(arrays_equal(self.array_of_floats, migrations.maybe_get_float(self.array_of_ints))) def test_convert_list_to_float(self): migrations.enable_migrations(True) self.assertTrue(lists_equal(self.list_of_floats, migrations.maybe_get_float(self.list_of_floats))) self.assertTrue(lists_equal(self.list_of_floats, migrations.maybe_get_float(self.list_of_ints))) def test_convert_scalar_to_float(self): migrations.enable_migrations(True) self.assertTrue(scalars_equal(self.scalar_float, migrations.maybe_get_float(self.scalar_float))) self.assertTrue(scalars_equal(self.scalar_float, migrations.maybe_get_float(self.scalar_int))) # Bad types should return themselves def test_bad_data(self): migrations.enable_migrations(True) self.assertTrue(scalars_equal(None, migrations.maybe_get_float(None))) self.assertTrue(scalars_equal(self.scalar_str, migrations.maybe_get_float(self.scalar_str)))
Ancestors
- unittest.case.TestCase
Methods
def setUp(self) ‑> None
-
Hook method for setting up the test fixture before exercising it.
Expand source code
def setUp(self) -> None: self.list_of_ints = [1, 2, 3] self.list_of_floats = [1.0, 2.0, 3.0] self.array_of_ints = np.array(self.list_of_ints) self.array_of_floats = np.array(self.list_of_floats) self.scalar_int = 1 self.scalar_float = 1.0 self.scalar_str = "foo" self.prev_migration: bool = migrations.are_migrations_enabled()
def tearDown(self) ‑> None
-
Hook method for deconstructing the test fixture after testing it.
Expand source code
def tearDown(self) -> None: if self.prev_migration: migrations.enable_migrations(True) else: migrations.enable_migrations(False)
def test_bad_data(self)
-
Expand source code
def test_bad_data(self): migrations.enable_migrations(True) self.assertTrue(scalars_equal(None, migrations.maybe_get_float(None))) self.assertTrue(scalars_equal(self.scalar_str, migrations.maybe_get_float(self.scalar_str)))
def test_convert_array_to_float(self)
-
Expand source code
def test_convert_array_to_float(self): migrations.enable_migrations(True) self.assertTrue(arrays_equal(self.array_of_floats, migrations.maybe_get_float(self.array_of_floats))) self.assertTrue(arrays_equal(self.array_of_floats, migrations.maybe_get_float(self.array_of_ints)))
def test_convert_list_to_float(self)
-
Expand source code
def test_convert_list_to_float(self): migrations.enable_migrations(True) self.assertTrue(lists_equal(self.list_of_floats, migrations.maybe_get_float(self.list_of_floats))) self.assertTrue(lists_equal(self.list_of_floats, migrations.maybe_get_float(self.list_of_ints)))
def test_convert_scalar_to_float(self)
-
Expand source code
def test_convert_scalar_to_float(self): migrations.enable_migrations(True) self.assertTrue(scalars_equal(self.scalar_float, migrations.maybe_get_float(self.scalar_float))) self.assertTrue(scalars_equal(self.scalar_float, migrations.maybe_get_float(self.scalar_int)))
def test_no_migrations(self)
-
Expand source code
def test_no_migrations(self): migrations.enable_migrations(False) self.assertTrue(arrays_equal(self.array_of_ints, migrations.maybe_get_float(self.array_of_ints))) self.assertTrue(arrays_equal(self.array_of_floats, migrations.maybe_get_float(self.array_of_floats))) self.assertTrue(lists_equal(self.list_of_ints, migrations.maybe_get_float(self.list_of_ints))) self.assertTrue(lists_equal(self.list_of_floats, migrations.maybe_get_float(self.list_of_floats))) self.assertTrue(scalars_equal(self.scalar_int, migrations.maybe_get_float(self.scalar_int))) self.assertTrue(scalars_equal(self.scalar_float, migrations.maybe_get_float(self.scalar_float))) self.assertTrue(scalars_equal(self.scalar_str, migrations.maybe_get_float(self.scalar_str)))