def test_import_object_any(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "datadoc")
with sys_path_append(data):
obj, name, kind = import_any_object("exdocassert.onefunction")
self.assertTrue(obj is not None)
self.assertTrue(obj(4, 5), 9)
self.assertEqual(kind, 'function')
def test_import_object_any(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "datadoc")
with sys_path_append(data):
obj, name, kind = import_any_object("exdocassert.onefunction")
self.assertTrue(obj is not None)
self.assertTrue(obj(4, 5), 9)
self.assertEqual(kind, 'function')
def test_import_any_object(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "datadoc")
with sys_path_append(data):
obj, name, kind = import_any_object("exsig.clex")
self.assertTrue(obj is not None)
# self.assertTrue(obj.(4, 5), 9)
self.assertEqual(name, "clex")
self.assertEqual(kind, "class")
def test_import_any_object_benchmark(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "datadoc")
with sys_path_append(data):
name = "pyquickhelper.benchhelper.grid_benchmark.GridBenchMark.bench_experiment"
import_object(name, "method")
obj, name, kind = import_any_object(name)
self.assertTrue(obj is not None)
# self.assertTrue(obj.(4, 5), 9)
self.assertEqual(name, "bench_experiment")
self.assertEqual(kind, "method")
def test_import_object_kind_check(self):
self.assertNotEmpty(import_object('pandas.DataFrame', 'class'))
self.assertRaise(lambda: import_object(
'pandas.DataFrame', 'function'), TypeError)
self.assertNotEmpty(import_object(
'pandas.core.frame.DataFrame', 'class'))
self.assertRaise(lambda: import_object(
'pandas.core.frame.DataFrame', 'function'), TypeError)
obj, name, kind = import_any_object("pandas.core.frame.DataFrame")
self.assertNotEmpty(obj)
self.assertEqual(name, 'DataFrame')
self.assertEqual(kind, 'class')
def test_autosignature_open(self):
self.assertIsInstance(numpy.ndarray.__init__.__text_signature__, str)
res = import_object("numpy.ndarray.__init__", "method")
self.assertNotEmpty(res)
obj, _, kind = import_any_object(
"numpy.ndarray.__init__", use_init=False)
self.assertNotEmpty(obj)
self.assertIn(kind, ("method", "property"))
newstring = [
".. autosignature:: numpy.ndarray.__init__\n :path: full"]
newstring = "\n".join(newstring)
res = rst2html(newstring, writer="rst", layout="sphinx")
self.assertIn("numpy.ndarray.__init__", res)
def test_import_any_object_property(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "datadoc")
sys.path.append(data)
name = "pyquickhelper.benchhelper.benchmark.BenchMark.Name"
import_object(name, "property")
obj, name, kind = import_any_object(name)
sys.path.pop()
self.assertTrue(obj is not None)
# self.assertTrue(obj.(4, 5), 9)
self.assertEqual(name, "Name")
self.assertEqual(kind, "property")
def test_import_object_kind_check(self):
self.assertNotEmpty(import_object('pandas.DataFrame', 'class'))
self.assertRaise(lambda: import_object('pandas.DataFrame', 'function'),
TypeError)
self.assertNotEmpty(
import_object('pandas.core.frame.DataFrame', 'class'))
self.assertRaise(
lambda: import_object('pandas.core.frame.DataFrame', 'function'),
TypeError)
obj, name, kind = import_any_object("pandas.core.frame.DataFrame")
self.assertNotEmpty(obj)
self.assertEqual(name, 'DataFrame')
self.assertEqual(kind, 'class')
def test_autosignature_open(self):
self.assertIsInstance(numpy.ndarray.__init__.__text_signature__, str)
res = import_object("numpy.ndarray.__init__", "method")
self.assertNotEmpty(res)
obj, _, kind = import_any_object("numpy.ndarray.__init__",
use_init=False)
self.assertNotEmpty(obj)
self.assertIn(kind, ("method", "property"))
newstring = [
".. autosignature:: numpy.ndarray.__init__\n :path: full"
]
newstring = "\n".join(newstring)
res = rst2html(newstring, writer="rst", layout="sphinx")
self.assertIn("numpy.ndarray.__init__", res)
def test_import_any_object_static(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "datadoc")
with sys_path_append(data):
name = "pyquickhelper.filehelper.transfer_api.TransferAPI_FileInfo.read_json"
try:
import_object(name, "method")
self.assertTrue(False)
except TypeError as e:
pass
import_object(name, "staticmethod")
obj, name, kind = import_any_object(name)
self.assertTrue(obj is not None)
# self.assertTrue(obj.(4, 5), 9)
self.assertEqual(name, "read_json")
self.assertEqual(kind, "staticmethod")
def test_import_object(self):
obj = 'cpyquickhelper.numbers.cbenchmark.vector_dot_product16'
res = import_object(obj, 'function', use_init=False)
self.assertNotEmpty(res)
res = import_any_object(obj)
self.assertNotEmpty(res)
def test_import_object(self):
obj = 'cpyquickhelper.numbers.cbenchmark.vector_dot_product16'
res = import_object(obj, 'function', use_init=False)
self.assertNotEmpty(res)
res = import_any_object(obj)
self.assertNotEmpty(res)
