Remove more verbose

cxroots/Derivative.py

@@ -9,7 +9,7 @@
 
 
 @np.vectorize
-def CxDerivative(f, z0, n=1, contour=None, absIntegrationTol=1e-10, verbose=False):
+def CxDerivative(f, z0, n=1, contour=None, absIntegrationTol=1e-10):
     r"""
     Compute the derivaive of an analytic function using Cauchy's
     Integral Formula for Derivatives.
@@ -31,8 +31,6 @@ def CxDerivative(f, z0, n=1, contour=None, absIntegrationTol=1e-10, verbose=Fals
         By default the contour is the circle |z-z_0|=1e-3.
     absIntegrationTol : float, optional
         The absolute tolerance required of the integration routine.
-    verbose : bool, optional
-        If True runtime information will be printed.  False be default.
 
     Returns
     -------
@@ -47,7 +45,7 @@ def CxDerivative(f, z0, n=1, contour=None, absIntegrationTol=1e-10, verbose=Fals
         C = lambda z0: contour
 
     integrand = lambda z: f(z) / (z - z0) ** (n + 1)
-    integral = C(z0).integrate(integrand, absTol=absIntegrationTol, verbose=verbose)
+    integral = C(z0).integrate(integrand, absTol=absIntegrationTol)
     return integral * math.factorial(n) / (2j * pi)
 
 

cxroots/Paths.py

@@ -148,9 +148,7 @@ def show(self, saveFile=None, **plotKwargs):
         else:
             plt.show()
 
-    def integrate(
-        self, f, absTol=0, relTol=1e-12, divMax=15, intMethod="quad", verbose=False
-    ):
+    def integrate(self, f, absTol=0, relTol=1e-12, divMax=15, intMethod="quad"):
         """
         Integrate the function f along the path.  The value of the
         integral is cached and will be reused if the method is called
@@ -172,8 +170,6 @@ def integrate(
             If 'quad' then :func:`scipy.integrate.quad` is used to
             compute the integral.  If 'romb' then Romberg integraion,
             using :func:`scipy.integrate.romberg`, is used instead.
-        verbose : bool, optional
-            Passed as the `show` argument of :func:`scipy.integrate.romberg`.
 
         Returns
         -------
@@ -206,7 +202,6 @@ def integrate(
                     tol=absTol,
                     rtol=relTol,
                     divmax=divMax,
-                    show=verbose,
                 )
             elif intMethod == "quad":
                 integrand_real = lambda t: np.real(integrand(t))