def chebfun(f=None, domain=None, n=None):
"""Chebfun constructor
"""
# chebfun()
if f is None:
return Chebfun.initempty()
domain = DefaultPrefs.domain if domain is None else domain
# chebfun(lambda x: f(x), ... )
if hasattr(f, "__call__"):
return Chebfun.initfun(f, domain, n)
# chebfun('x', ... )
if isinstance(f, str) and len(f) is 1 and f.isalpha():
if n:
return Chebfun.initfun(lambda x: x, domain, n)
else:
return Chebfun.initidentity(domain)
try:
# chebfun(3.14, ... ), chebfun('3.14', ... )
return Chebfun.initconst(float(f), domain)
except:
raise ValueError(f)
def chebfun(f=None, domain=None, n=None):
"""Chebfun constructor
"""
# chebfun()
if f is None:
return Chebfun.initempty()
domain = DefaultPrefs.domain if domain is None else domain
# chebfun(lambda x: f(x), ... )
if hasattr(f, "__call__"):
return _initfun(f, domain, n)
# chebfun('x', ... )
if isinstance(f, str) and len(f) is 1 and f.isalpha():
if n:
return _initfun(lambda x: x, domain, n)
else:
return Chebfun.initidentity(domain)
try:
# chebfun(3.14, ... ), chebfun('3.14', ... )
return Chebfun.initconst(float(f), domain)
except:
raise ValueError(f)
def test_diff_empty(self):
df = Chebfun.initempty().diff()
self.assertIsInstance(df, Chebfun)
self.assertTrue(df.isempty)
def test_dot_empty(self):
emptyfun = Chebfun.initempty()
self.assertEqual(self.f1.dot(emptyfun), 0)
self.assertEqual(emptyfun.dot(self.f1), 0)
def test_sum_empty(self):
f = Chebfun.initempty()
self.assertEqual(f.sum(), .0)
def test_cumsum_empty(self):
If = Chebfun.initempty().cumsum()
self.assertIsInstance(If, Chebfun)
self.assertTrue(If.isempty)
def setUp(self):
self.f0 = Chebfun.initempty()
self.f1 = Chebfun.initfun_adaptive(lambda x: x**2, [-1,1])
self.f2 = Chebfun.initfun_adaptive(lambda x: x**2, [-1,0,1,2])
def test_initempty(self):
emptyfun = Chebfun.initempty()
self.assertEqual(emptyfun.funs.size, 0)
def setUp(self):
self.emptyfun = Chebfun.initempty()
self.yy = np.linspace(-1, 1, 2000)
def setUp(self):
self.f0 = Chebfun.initempty()
self.f1 = Chebfun.initfun_adaptive(lambda x: x**2, [-1, 1])
self.f2 = Chebfun.initfun_adaptive(lambda x: x**2, [-1, 0, 1, 2])
def test_dot_empty(self):
emptyfun = Chebfun.initempty()
self.assertEqual(self.f1.dot(emptyfun), 0)
self.assertEqual(emptyfun.dot(self.f1), 0)
def test_empty(self):
rts = Chebfun.initempty().roots()
self.assertIsInstance(rts, np.ndarray)
self.assertEqual(rts.size, 0)
def test_diff_empty(self):
df = Chebfun.initempty().diff()
self.assertIsInstance(df, Chebfun)
self.assertTrue(df.isempty)
def test_cumsum_empty(self):
If = Chebfun.initempty().cumsum()
self.assertIsInstance(If, Chebfun)
self.assertTrue(If.isempty)
def test_sum_empty(self):
f = Chebfun.initempty()
self.assertEqual(f.sum(), .0)
def test_empty(self):
rts = Chebfun.initempty().roots()
self.assertIsInstance(rts, np.ndarray)
self.assertEqual(rts.size, 0)
def setUp(self):
self.emptyfun = Chebfun.initempty()
self.yy = np.linspace(-1,1,2000)
def setUp(self):
self.emptyfun = Chebfun.initempty()
self.yy = -1 + 2*rand(1000)
def test_initempty(self):
emptyfun = Chebfun.initempty()
self.assertEqual(emptyfun.funs.size, 0)