From 91cf7ebbcc84c3f4f846461f4706842e825be2b9 Mon Sep 17 00:00:00 2001
From: Marco Cammarata <marcocamma@gmail.com>
Date: Fri, 13 Jan 2017 14:50:43 +0100
Subject: [PATCH] forgot to delete old file...

---
 xray/dspace.py | 70 --------------------------------------------------
 1 file changed, 70 deletions(-)
 delete mode 100644 xray/dspace.py

diff --git a/xray/dspace.py b/xray/dspace.py
deleted file mode 100644
index 40591fd..0000000
--- a/xray/dspace.py
+++ /dev/null
@@ -1,70 +0,0 @@
-from __future__ import division,print_function
-import numpy as np
-from numpy import sin,cos
-
-
-
-class Triclinic(object):
-  def __init__(self,a=1,b=1,c=1,alpha=90,beta=90,gamma=90):
-    self.a = a
-    self.b = b
-    self.c = c
-    alpha  = alpha*np.pi/180
-    beta   = beta*np.pi/180
-    gamma  = gamma*np.pi/180
-    self.alpha = alpha
-    self.beta  = beta 
-    self.gamma = gamma
-
-    self._s11 = b**2 * c**2 * sin(alpha)**2
-    self._s22 = a**2 * c**2 * sin(beta)**2
-    self._s33 = a**2 * b**2 * sin(gamma)**2
-    self._s12 = a*b*c**2*(cos(alpha) * cos(beta) - cos(gamma))
-    self._s23 = a**2*b*c*(cos(beta) * cos(gamma) - cos(alpha))
-    self._s13 = a*b**2*c*(cos(gamma) * cos(alpha) - cos(beta))
-    self.V    = (a*b*c)*np.sqrt(1-cos(alpha)**2 - cos(beta)**2 - cos(gamma)**2 + 2*cos(alpha)*cos(beta)*cos(gamma))
-
-  def __call__(self,h,k,l):  return self.q(h,k,l)
-
-  def d(self,h,k,l):
-    temp = self._s11*h**2 + \
-           self._s22*k**2 + \
-           self._s33*l**2 + \
-           2*self._s12*h*k+ \
-           2*self._s23*k*l+ \
-           2*self._s13*h*l
-    d    = self.V/np.sqrt(temp)
-    return d
-
-  def q(self,h,k,l):
-    return 2*np.pi/self.d(h,k,l)
-
-class Orthorombic(Triclinic):
-  def __init__(self,a=1,b=1,c=1):
-    Triclinic.__init__(self,a=a,b=b,c=c,alpha=90,beta=90,gamma=90)
-
-class Monoclinic(object):
-  def __init__(self,a=1,b=1,c=1,beta=90.):
-    self.a = a
-    self.b = b
-    self.c = c
-    beta   = beta/np.pi*180
-    self.beta = beta
-
-    self.V    = (a*b*c)
-
-  def __call__(self,h,k,l):  return self.Q(h,k,l)
-
-  def Q(self,h,k,l):
-    temp = h**2/self.a**2 + (k*sin(self.beta))**2/self.b**2+l**2/self.c**2+2*h*l*cos(self.beta)/self.a/self.c
-    d    = 1/np.sqrt(temp)
-    print(d)
-    return 2*np.pi/d
-
-
-
-ti3o5_lambda = Triclinic(a = 9.83776, b = 3.78674, c = 9.97069, beta = 91.2567)
-ti3o5_beta   = Triclinic(a = 9.7382 , b = 3.8005 , c = 9.4333 , beta = 91.496)
-#ti3o5_beta   = Monoclinic(a = 9.7382 , b = 3.8005 , c = 9.4333 , beta = 91.496)
-ti3o5_alpha  = Triclinic(a = 9.8372,  b = 3.7921,  c = 9.9717)
-#ti3o5_alpha1  = Orthorombic(a = 9.8372,  b = 3.7921,  c = 9.9717)