diff --git a/SimPEG/TensorView.py b/SimPEG/TensorView.py index d78753ed..29622c9b 100644 --- a/SimPEG/TensorView.py +++ b/SimPEG/TensorView.py @@ -14,10 +14,26 @@ class TensorView(object): pass def plotImage(self, I, imageType='CC', figNum=1,ax=None,direction='z',numbering=True): + """ + Mesh.plotImage(I) + Plots scalar fields on the given mesh. + + Input: + + I - scalar field (np.array) + + Optional Input: + + imageType - type of image ('CC','N','Fx','Fy','Fz','Ex','Ey','Ez') + figNum - number of figure to plot to + ax - axis to plot to + direction - 3D only. slice dimensions + numbering - 3D only. show numbering of slices + """ assert type(I) == np.ndarray, "I must be a numpy array" assert type(numbering) == bool, "numbering must be a bool" - assert imageType in ["CC", "N"], "imageType must be 'CC' or 'N'" + assert imageType in ["CC", "N","Fx","Fy","Fz","Ex","Ey","Ez"], "imageType must be 'CC', 'N','Fx','Fy','Fz','Ex','Ey','Ez'" assert direction in ["x", "y","z"], "direction must be either x,y, or z" @@ -25,6 +41,18 @@ class TensorView(object): assert I.size == self.nC, "Incorrect dimensions for CC." elif imageType == 'N': assert I.size == self.nN, "Incorrect dimensions for N." + elif imageType == 'Fx': + assert I.size == np.prod(self.nFx), "Incorrect dimensions for Fx." + elif imageType == 'Fy': + assert I.size == np.prod(self.nFy), "Incorrect dimensions for Fy." + elif imageType == 'Fz': + assert I.size == np.prod(self.nFz), "Incorrect dimensions for Fz." + elif imageType == 'Ex': + assert I.size == np.prod(self.nEx), "Incorrect dimensions for Ex." + elif imageType == 'Ey': + assert I.size == np.prod(self.nEy), "Incorrect dimensions for Ey." + elif imageType == 'Ez': + assert I.size == np.prod(self.nEz), "Incorrect dimensions for Ez." if ax is None: fig = plt.figure(figNum) @@ -39,7 +67,6 @@ class TensorView(object): ph = ax.plot(self.vectorCCx, I, '-ro') elif imageType == 'N': ph = ax.plot(self.vectorNx, I, '-bs') - ax.set_xticks(self.vectorNx) ax.set_xlabel("x") ax.axis('tight') elif self.dim == 2: @@ -48,21 +75,58 @@ class TensorView(object): elif imageType == 'N': C = I[:].reshape(self.n+1, order='F') C = 0.25*(C[:-1, :-1] + C[1:, :-1] + C[:-1, 1:] + C[1:, 1:]) + elif imageType == 'Fx': + C = I[:].reshape(self.nFx, order='F') + C = 0.5*(C[:-1, :] + C[1:, :] ) + elif imageType == 'Fy': + C = I[:].reshape(self.nFy, order='F') + C = 0.5*(C[:, :-1] + C[:, 1:] ) + elif imageType == 'Ex': + C = I[:].reshape(self.nEx, order='F') + C = 0.5*(C[:,:-1] + C[:,1:] ) + elif imageType == 'Ey': + C = I[:].reshape(self.nEy, order='F') + C = 0.5*(C[:-1,:] + C[1:,:] ) ph = ax.pcolormesh(self.vectorNx, self.vectorNy, C.T) ax.axis('tight') ax.set_xlabel("x") ax.set_ylabel("y") - ax.set_xticks(self.vectorNx) - ax.set_yticks(self.vectorNy) elif self.dim == 3: if direction == 'z': + + # get copy of image and average to cell-centres is necessary + if imageType == 'CC': + Ic = I[:].reshape(self.n, order='F') + elif imageType == 'N': + Ic = I[:].reshape(self.n+1, order='F') + Ic = .125*(Ic[:-1,:-1,:-1]+Ic[1:,:-1,:-1] + Ic[:-1,1:,:-1]+ Ic[1:,1:,:-1]+ Ic[:-1,:-1,1:]+Ic[1:,:-1,1:] + Ic[:-1,1:,1:]+ Ic[1:,1:,1:] ) + elif imageType == 'Fx': + Ic = I[:].reshape(self.nFx, order='F') + Ic = .5*(Ic[:-1,:,:]+Ic[1:,:,:]) + elif imageType == 'Fy': + Ic = I[:].reshape(self.nFy, order='F') + Ic = .5*(Ic[:,:-1,:]+Ic[:,1:,:]) + elif imageType == 'Fz': + Ic = I[:].reshape(self.nFz, order='F') + Ic = .5*(Ic[:,:,:-1]+Ic[:,:,1:]) + elif imageType == 'Ex': + Ic = I[:].reshape(self.nEx, order='F') + Ic = .25*(Ic[:,:-1,:-1]+Ic[:,1:,:-1]+Ic[:,:-1,1:]+Ic[:,1:,:1]) + elif imageType == 'Ey': + Ic = I[:].reshape(self.nEy, order='F') + Ic = .25*(Ic[:-1,:,:-1]+Ic[1:,:,:-1]+Ic[:-1,:,1:]+Ic[1:,:,:1]) + elif imageType == 'Ez': + Ic = I[:].reshape(self.nEz, order='F') + Ic = .25*(Ic[:-1,:-1,:]+Ic[1:,:-1,:]+Ic[:-1,1:,:]+Ic[1:,:1,:]) + + # determine number oE slices in x and y dimension nX = np.ceil(np.sqrt(self.nCz)) nY = np.ceil(self.nCz/nX) - C = np.zeros((nX*self.nCx, nY*self.nCy)) + # allocate space for montage + C = np.zeros((nX*self.nCx,nY*self.nCz)) - Ic = I[:].reshape(self.n, order='F') nCx = self.nCx nCy = self.nCy @@ -94,8 +158,9 @@ class TensorView(object): for iy in range(int(nY)): for ix in range(int(nX)): iz = ix + iy*nX - ax.text((ix+1)*self.vectorNx[-1]-pad,(iy)*self.vectorNy[-1]+pad, - '#%i'%iz,color='w',verticalalignment='bottom',horizontalalignment='right',size='x-large') + if iz < self.nCz: + ax.text((ix+1)*self.vectorNx[-1]-pad,(iy)*self.vectorNy[-1]+pad, + '#%i'%iz,color='w',verticalalignment='bottom',horizontalalignment='right',size='x-large') fig.show() return ph diff --git a/notebooks/exPlotImage2D.ipynb b/notebooks/exPlotImage2D.ipynb index f75e96d5..e46d6472 100644 --- a/notebooks/exPlotImage2D.ipynb +++ b/notebooks/exPlotImage2D.ipynb @@ -21,7 +21,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 8 + "prompt_number": 1 }, { "cell_type": "markdown", @@ -37,13 +37,13 @@ "collapsed": false, "input": [ "x0 = np.zeros(1)\n", - "h = np.random.rand(51)\n", + "h = np.random.rand(32)\n", "mesh = TensorMesh([h],x0)" ], "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 9 + "prompt_number": 2 }, { "cell_type": "code", @@ -55,21 +55,40 @@ "\n", "fig = plt.figure(1)\n", "fig.clf()\n", - "ph1 = mesh.plotImage(sin(xc),ax=subplot(111))\n", - "ph2 = mesh.plotImage(sin(xn),ax=subplot(111),imageType='N')\n" + "ax1 = subplot(121)\n", + "ax2 = subplot(122)\n", + "ph1 = mesh.plotImage(sin(xc),ax=ax1)\n", + "ph2 = mesh.plotImage(sin(xn),ax=ax2,imageType='N')\n", + "ax1.set_title('sin(x) on CC grid')\n", + "ax2.set_title('sin(x) on N grid')" ], "language": "python", "metadata": {}, "outputs": [ { - "output_type": "display_data", - "png": 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nWZ/e0hKDaXVgQ7SKy8vZ/SszmqhVPP7EE0tCITAxgaUtDtPywEcyhMV08PML\n40unuJvTiTCSgeFmrdSShJgDrVHDiDqWzvdFqUXxGw1NMRSskD7yCPxgPvrRj37EAw88wPj4ODt3\n7iQtLY3nn38egAceeIAXX3yR5557Do1GQ1FREU8//fS8z23pTcW0aXyxIl4VoxFsYzm4hfdQ3xzw\n6QJPezvWmMKAVEf1pbqigotHDmKcWIX5kiFZ6cXdJs7U08Rq9AWBW4xM9k8w0y3009SipuimOJ/j\nIa6GSgWFiSK1bw9w200y8MwuFo+Hhu4UVqyXh59k0UqhpKSE+vr6acceeOCBqa8ffPBBHnzwwXmf\nzxvJAFA/6uahZ9yof6IJaLhebCwkRjppO9tNdkBmCDKiiCWmKOA1VPbv2cM3Osd4lI9OHVN6SG/z\nQStpUToiI1MCNof3Pj77+3o++bkoKiuNAZsrGHiV3MEqNzdtGScsJtLnuH/xvh8ax/p44Ececg68\nPjWXYsN5u7tpoICPFcojwEV2BfFmRjIcPOz9yvzBwX4kb9kgjWdHl4xSsIYV8JkAR4lqnE6MCNiY\n/lJTckivcKQDQ/oQEDil4EV3QxaiMwKP24NKrdxi0Pv2melqGWN5ziAH300ATeBeK9PeD0NgCXCk\nU1Cw27mgWimLcFRQQJmLYJGnc9FoU+6DOQ1RxDqmDfhOwRUZSS5NdJDBGJeLCio5pFeoG8JoDM59\nEJebRLRqlK4G5ZeCFo93oAtvC6hCWKqMWppom0iTjfkwpBQukbciHGvr0ghD9NhFLH3pAVcK23fu\n5NF8A9m0IF4KSlVqcTdvf+FfnB1GsL0VNIe5LqoD+9H2oMwVSMTTPejila/cpKDxVD+6+F7Z6FOZ\niCE9+evieeM//NekXUo6GvqIivSQlBTYebx+g//6bCePqddjuNHEnQ89pDh/gm9/4b/ks9wsVvH6\nrkm7RKD/Fn1SH2LNBJsDOkvgEc8NoUtfuj27A0lD3RgFWQOAPLo/hnYKl8hbG0PjhB56e6UWZdFY\nGtXk64KTO1BcXs6HbzVwS/IGxRZ3m1lu3IAQtG5oumVO7OflEZ++GETbBLpc6bLA+7ovSjb3Ymmw\naSgIYD7WQpHdTsEbyXD60BD63AmS9Ak+xwNHXr6KRrUJRJGAL7EDjLU1GlNZWNDmM66KxvZm4Mol\nBxrfcuMCBgwIQHAc5nq9CvsS6GjqaNWwaXvgyz4bDNDX/RDdDRYGRgvIpZkULtItdFNdUaHIRUlD\nWzzryuR33oW/AAAgAElEQVTT6Et2SsEbVpYX4eDFZ4cxla8IyrxZWdDrTmC44RgxRUVBmTMgDA1h\nHckhf3Xw+hwYC2N5ZTQLRkcnCyIpDG8NLBdhtJKFFgcQHIe5fkUUh44EPhcn0IjdcejWBP51sm+f\nmUfKyniidj9f4+MU4eLr/B4GUGwodENvOvdukk83OVmajyZcHprHM8jdmhO0OdVqMCR0YzvZF7Q5\nA4LDgSWmEJMpeJFUxjw1QngBNDUFbU5/4u2G5kDLMtqJYDxoDnNdURL2Xvm8EK4VcSgV3cbA9D2Z\niXdnp8eO3adbsyJDoUdHuTBuoOAG+fgzZbdTAGg700WKyk1UWnCLXuVlDNF4zkmAiooGB1HEqjIF\ntfm3wQA2tx7EU4rsq+BdXX73s8+j8nSy++ayoDnM9VszEUdHweOZTNVVIGPDLjonUsgKTPuJD+Dd\n2emxc5p1U8eVGAo93NDMRVUOWr181ueyVArisXZ0MQBBVgp6F42NynwwpxBFLM4bg/puzsyEfncc\nQw0txN4WvHn9SXF5OdbIt1GXLOfxl14L2rzpefEMomHI3kWsQZlF+FpOtpEVBpqY3KDMt33nTore\na0UzMISVo5RSgi0qmpQWE44dZkVlNlsOd2GMDiMszCC1KFPIRz1dorqign954lcMuqxBL7CWtzyc\nxrYAlxUNML0XOnB6IsgIYnSbWj0ZWimcCVxjmoAzMYGtJxnDquB+/mo1aCM7EI+2BXVefyKeuIg2\npjto8xWXlxNmKOEkL9PP/6OKSsTRP3Oqdu9UiRyl0HBqiILU4F27+SArpeCNF79RhI84G4LeMzlv\nXTyNPfKx7V0L1noneRlDQbdEGDNHsF2QT1jdgmlrQ4hYjtEU3M1zdUUF4247T35rr2KrzIp1/ehS\nBoM6Z2JKcPwXgabhgpuCnGGpxZiGrJSCN17cjh49doCgxYsD5G1OpnE0B8aVGw1itakxGYIvv1Hv\nwSbK6nZaGKKITVMQ1FID3kXQbeMNFIsEfRHkL0TLOLpsBS8IJKTBHsFy07W1Kw4UsnqKvVEFIjp0\nXK6VHqyoAmNBODaVEU9Tc1DmCwTW1ljyVwY/5tm4MhJbuzxK/14TDgfCRG5QlYJ3EaTHPlUmJJiL\nIH8hNqnRGWX1KlEMFzqSKSiSl4NcVp+kN6rAd6cAwYsqiIuDeM0IbacUat91u7H0pmFaF/xEMkNR\nAkJ/8mQUjQIZa2yiYyyJ3OD4SoHLiyAdoqJDKx1dUehWKnhBICENg5kUbJGXyVpW0Ufensmi9fJO\nIdg9k/MSLtJ4so+se4I2pf/o7MQaVsDnVgU+s3QmxjUx2DxG6OmBlMCXnfY3Yv0Q2YlDaDTByxnw\nDa0UfbpcKy20UhxIRrsueMmScLnyge1ED2qNGn1Ros9xZdDf52FgIobsTfIqxCkrpVBcXs5g2wg/\n/GoYzxQX4Y6OCnqBtbxlg1jrnXwoaDP6EVHEQnBzFLwYjWDDAGKjIpWCYHFhyApuDSLvIugr1ss7\nhWAvghbNxATiWCa6LcFVCt6w05986k1O1Efx00rlPbGWo93kh7WhjpdXZpSslAKANmEtpsh2Hquq\nlGT+PN0EjTZZWdXmzUhDE10T69BK0F44JQXcag099W0krw/+/ItFaNJgXBfckC3vYuffn/kJjgPZ\nPHzbdu78+52KKtXQd74NtyqRpExpdjfa5dG8XB1cheQvGo71UhDfBjJLl5Xd289e04c+Qbq67Pkr\nNDS2Kmv77sV2uh99Qi9hwauFN4VKBcbEbmynlVkmxNYVh2Fl8HNUisvL+f7+V1gW1sPXHvmxohQC\nXGquE9UhWTK2bm0CYr8yC1g21I6yPF1+VZllpxTEC6Po0qVztOWtj6exR3nmDwBL/TimrODGi/ti\nzBjCdm5MsvmvmZERhNFMjGuls+3qY7uwn1JekxpHbS+6pH7J5tduTEd0LlNkfEODBQr08nteZGc+\nsgse9LkTks2fd0M6jaMxiqxFYxXCyDdId+2MOjeCqKxrBkyGo0YsxyBhWKUuZRCxXnlNasQLI2gz\npFOmiaZ0VJ5B+tpGSMqSfzWCHTvMU1nXJ2tGqUnr51el5zEYkE15DlkphdJSM/Wn+0hNhddLKyW5\nUNkrE+j2RDDc0ktMjrxCxa6GpS2O5bdLV5fdsDychtPyfzA/gMOBzb1O0sgVfdYY9kbpFPq1Ioqg\n00m3EFCFqdGGt+E4HkHSXQbJ5JgvggBVVeap70+1AC0A5lnHS4GszEdVVWY6nP9Kfcu/UlVllqSO\niVoNhohWhCPKy1Ww9qVi2pAg2fzGwnhsvcqz745am7noSiQ7WzoZ9AYV9iYJnEGLRGyLRLdcWh+c\nLr4HsUZ+tnmlIiulIBfyErtoPCmdnfSaGBnBOqYjf5N0L2XjphRso1ngUlbJA/uZAbSJ/ZI46L3o\nlkchdskrXv1KVFdU8EhZGQc7Ijnw+s8kLc2hTR3GcUF5pje5ElIKs5C3bIjGemX1zXUJTYhoMeZL\n95Eal4cjqIx4Wlolk+FaEC6MYVgmbRaxvigJ+4AyzJXemk1P7N+P2p3DY2cqJK3ZpMtyIdqUtRCR\nMyGlMAt5ugkaBWU5TMX3O8iM7CFSwpDtuDiIDRul/ZTClIKowmiQruk8gG5zBuJYJh63/MNovDWb\nJlDTQjY5NEtas0mXF4ajVVbuUUUTupKzkLcinMpTynKYWk4Okp/cDWRKKocx/iLC6T4y75ZUjAVh\na4/FcIe0CVBJugTU9NEj9JGSJ2+/jLdmUxuZpNBNJJNhlVLVbNKuiEF8WRmmN295DkvdKFFD3eTe\nkO1zXB7ISimsyvl7uro8rN4mXR2THTvM1B0Z5GxbGKWlr04dl1PI2GxYz7swZQ1JLQaG9EFs9aNs\nk1qQ+eLxIPQlcXdRvNSSoItsRzyO7JWCt2bTzGrGUtVs0q1LQRxUhlLwvkPu2Sjw+aQK7n3rQWkF\nmgVZKYUvF91NVyf8oLJUMhkEAY6f+yEAVVW+PzFLIM38sdo15C+X1gQCYMx1YbPJ3wQyRXc3Aoag\nd1ybDX1CD/baMNZ/WmpJroy3ZlORhIUrfcndtIyW8SgmXB7CNMow+9pbI9BvDn7hyvkgK6XgaFKx\nvEBqKZSJpT2OGz8hfQ0YY0EY7/9ZejnmjcOBTZUni+27Pn0Y+3np8kzmi7cUx/e+cIphTz+7t5UF\nvXClL5EZiSSr2mm/EEn2annvsrzYuxPQrwl+ifv5IC+l0BnFhz+ioFWmjLD2pZO/QfqP07g2jhf/\nS36p+3Mx3NBMv3sVmRK6YrxZro7WHv7oUPP70jcAeZssi8vLWZ0KeTdn87f77pdaHLSRnThOKkMp\nDA7CiEtD+pogNlJfANK/RXw42hFJ2p+eIbX4ouIKg0mJx+3BOpZL/o0yMB9tSsE2LKvb6ooIp3rR\nxfeiVi+TTgZhepZr05TZ0vzBwTJCvBhL6Qp52PJ1ib2ItdFslVqQeWC3gy6sGZVBf9WxUiCrkFSX\nO4d/OvMnRfaplZLWsz3EqwaJz5J+O6rfkEKTO5uJfumd3vNBOO/EkKEMWeWGOJiCbp08ciu06U4c\nFmV0rLPbJtC7rAS1zd8CkNWSboB40unkSWsHu/fulWS34A0Zc5zuZsytIf9S2Qg52Jznwnqkk/zo\nUUD67WhklIq0sF6ajw+gu80ktThXRRDAqFVezSHJGRvD4cpCt0EeFYV1uW5E+9XHyQHxzAC6qA6Q\naYc9WSmFHJpRM+lTkCrm2WvD/fX9b/C/byfx28rNksixECynhjClyKf2izGuA9uJUXS3SS3J1bG1\nRmHYLKvHQBEMW1oYIJP0THnUa9LmhXOoTv5OegD72SH0KdKVuL8asjIfaXFMfS11n1rtqjgc3fKw\nl14N6wUX+Vnyqf1iTB3AVjcstRjzQuhJwLg21HR+oThOdKKN6pRNdXndmjjEHumKQS4Ee6MLffa4\n1GLMiayWSHKIefaiXZdC05D0CU1Xwhu1cvboIKlxTt4uPQZIH7VizB3D1ijZ9PPH5UIYzcQgsQnE\na7IEOPXOAIa8MJKyY2RtshTP9KNLjAYk6P06C9p1qThGpPepzQd7kwb9Vlmtx6chK6UgJPSx+0Zp\nY569ZG/MpN0VhWvcgyZcJsuhGfhGrXSOwDmZRK0Y81S8fVBWt9bstLZO5iiYpJXVV4F/Ufs2Hy6L\nZ8deeZstxYZRdOny2Z1mbsiiZ0KFc8RNZLR8X7gA9q4Y9Kvka4WQ1ZP7ufJ1fO2/pd0heAlPTSBd\n1UJrfTTaInlEWCiBHTvMnDo4gGBXU1p6YOq41LuX2Rg418QwG8iQ3j8/hX6ZE9EqTwekLw5x0rkr\nF9QxUeSo7TSdiib/Rhl9oDMYG4OO4ThyCuXhoJ8NWSkFrcTNOmaSG30Rx4nIkFJYAIIApxufBuRf\nJkQ40YMhrguVSj6hgTq9iqMX5L3SBRDbI7jpBnmVadDGdCGelLdSaGqCLE0nGqM8zG6zIau7z/y7\nlygtNbNjh1lqUQDQJvbjONMntRghAoRQP4IhdUBqMaahK4hE7JTX4mg2xJ54dKvlZcPXJQ/gqJdv\nVA9MJq7p3QLodFKLMiey2ikcP/vPl74ySynGFNoMJ00W+WyRQ/gXodGNMUdeUSC6tfHY++RfqkEc\nTpNNjoIX7bIxRKu8w1Lt50bQI0DqjVKLMieyUgpyQ5sLokO+tZgMBmi2/CPDnUMU3Jg27XiIq2Nr\nDsdwi6w2y2g3pCOOZuDxIJtwz5l4hoZxuHPQFslrR6PTqzhxXl6f50zEugF0Sf3y/XAJKYU5qa6o\n4FDt29S3lfJIWRnbd+6UPCJqJvv2mfnmR+pIb6vlHys/K7U4ikO4GM9Nq+UVBRK/PItoBuhq05Ce\nJc/Hs6umhVh1CrFx0pcb90VriuLld+Rdodd+wclWiVu/Xg153nUS4+1B+y0xjZ18mif27+dhqxVA\ndorB7lCzxSSf3Yw35r7x/R40kWp0a6VrmHQ1hME0DBtkFkQQHo5O04p4wkl6eZbU0syKeKILbYwH\nkJf5SLc2AbFP3rlFdoeKTxukluLKyFIp9HVflHR+bw/aJkZxXErOedJqlawe05UQOqLRf1Q+qyNv\n2Omej7/BeXs0P678kLQCzcXQELYJHYb18rPf6+K6EU+r2SRXpVA/hC5ZXpFHANqN6YjOBFmb3uzt\nUei3y+d5nQ1ZGeBKKKWEUtwXT0gqh7cHbRatXCSVMSadV1LVY7oS9r4kDOvkl96vNUXi6JDvzd9b\n14xLFU5qmvzeHvq0QcTz8kkMm4loHUe3zCm1GB8gcfkyVB43fR3ykw3A7QZHXwK6tfJ7Xn1ZtFKo\nrq5m1apVFBQUsHfv3lnHfPvb3yYvL49NmzZx7ty5q55TNSFt1UpvD9ow3GTSRguTzbWlrsc0k6Eh\nGBiPIqNQwg4xc6BdHU9Tn7xCFn2xn+jCENMhyxWlLsuFaJNv5VaxSYVOL78Lp9KEoQ1vw3GiQ2pR\nZqW9HRLChohZLp+8mNlYtFLYtWsXzz//PG+88QY//vGP6erqmvbzo0ePcvDgQY4fP843v/lNvvnN\nb855rioqqaKS3rHsxYq1KLbv3MnD+fnAZJE+B1q+k5/PHRLXY5qJaPegQ0Stl18ijHZDOo7RdKnF\nmBPbmSEMKf1SizErOmMYYqssLbvAZIdEXYE8d4GTpjf5VAz2xW4HvUqUdY4CLFIp9PVNJnYVFxej\n1+vZvn07R44cmTbmyJEj3HvvvaSkpHDfffdRX19/1fMm5+YsRqxFU1xeTtkzz7C7rIy+yE7+X+5N\n3PnMM/LzJ9QNolc3QWKi1KJ8gPS1y+h3xzHSJ8/WnEKDC2OW/MyBALoV0di75LvLEvuS0K6RpwlE\nmzKE47w8mybZGyfQj1sgR9r329VY1HLk2LFjrFy5cur71atXc/jwYcp9Xp5Hjx7li1/84tT36enp\nWK1W8i+txKdjBqCnv5bKykpKS0sXI96iKC4vp7i8nJEb3yE97g6Ky2+XTJa5sJ/uw5AgrVN+LtQR\nGnLCmml6X03BbfLZyXgry1qO9RAVG0ZN6WuAvGoz6YqSEAdlFhXlxeNBdGag2yjPcuO6bPma3uxn\n+tHHdkHEtTvpKysrqays9J9QsxDwParH48HjmR4yqZrTkGsGwGAwS6oQfNHq1TTUyM9+CiCcG0Gf\nLs++BdUVFUyQyBN//Su0+XbZ5HlM64c8DFaZVJb1JXN9Jt2uBEZH5decy9nRR5cnlawV8os+AtAZ\nwjhwWJ6mN/H8CAVpi3teS0tLp70bH3vssUVK9UEWZT7asmXLNMdxXV0d27ZtmzZm69atnD17dur7\nzs5O8vLyFjNtUNEuj6apS2ZP5iXsggeDDFtJevM8bpkQuM3q5In9+0N9txdAWPYycmimySq/KJrm\n99vIDu8kTB4N1z6AdkUM4kV5JSR6sdvc6HPk97zOZFFKIfGSLbu6uhpBEDhw4ABbt26dNmbr1q28\n9NJLXLx4kf/+7/9m1apVc56vpMRMSYlZVolO2sJkHP3ys9kDCK2R6PPlV+vFm+ehxUETk5EWT1qt\nHJgjOi3EDNRq9FHtiCe6rj42yDhqetDFdUstxpy0jTVQ0xOHuXSyEoGcFiL21gj0Jvk9rzNZ9D7r\nRz/6EQ888ADj4+Ps3LmTtLQ0nn/+eQAeeOABbrjhBm6++WY2b95MSkoKL7zwwpznqqw0L1Ycv6Pd\nlIHDGYMcM2Ls3QkYZNhK0pvnkUsTtRROHZdjnodc0SX0IZ5JBOTllBTPD6NNkddz4KW6ooJTv/o+\nw57PsrvqIGG4ZVWJwN4dj361/J7XmSxaKZSUlHwgouiBBx6Y9v1TTz3FU089tdipJCHDEEMfYYw6\nOonSyadO++goXHTGklUov7BPb56HFgd/4qNTx+WW5yFndBkjiA3yMR95HfTiqR4mUFMqQwf9/j17\n+GfhPL+kh3aWkU2rbCoR9PaCe8JD8splksoxH+TpkZERajVkR3TRdPwiJhkpBYcDctUthBnlF/O8\nfedOHrZaudfqmCoTIoe+2zD5Euts/AYd7R7W3Jgw7bic0OW6OSrKp6bVNAc9IMrQQe/doXpzi7Jp\nBeSxQ7XbQa9pRmXQSy3KVQkphXmgje/FUduL6ZNSS3IZweJC77ZB9s1Si/IBvKuyF576dxre0bK7\nTB59t2FyVfsvH3+HdtHJ05UfllqcOdHlh/O72tDOaiF4d6g6RER0bOUoII8dql3woHdZQbft6oMl\nRla1j+SKNm2EpgvyCv201/RhiO6AcHk6rorLy/lh1e9REck//vx/ZKEQvNjsagw6+azCZ0O3Kg6x\nV94VP+WGtxKBd6cAyKYSgf3cCHq1Q5aJpjMJ7RTmgTbHjUNwSS3GNISzQ+hl1kpyJiq1ityIDppO\njLEyRz4Pg9AeTfl2eX2eM9GuT0UcTpNjfINs8S48Hv/LWg4Pr6bnZvnsUO1nB9GnDCriwwwphSvg\nda61nB9kqHeM/aXHAXk41+zWCW7PlmcJCV9y43px1DhZeZfUklzG1puMsUjeO4X4lTlEM0JXVxTp\n8oslkC3F5eX89ZfT+c0LLh5/7TWpxZlCtLrYnCX/5xVCSuGKzHSutcjIuSY0a9Bvk2kGkQ/a1GEc\n5+UTReN2g310GYYtMr/1U1LQU4NYH0F6uvRhjAYDDHZ8i3PnVWy+JWbacbmhW5eM+Kx87jkAe5Ma\n3QZlWOtl/mSEmAt7VyyGldI70K6GNmsCh4xq0bQ5xkmgn9h8+ZUbn4ZKhS62C/FUCpuKpVcK+/aZ\n+cP/Pcwv9qn4Y+XWq/+ChGi3ZOJwDssqt8jeGYt+pbzal86FMlRXiGmMj0PbUDw5hfJqhzgbWqMG\nh4zKQNuOdWGMaAaNfGSaC13SAGL9oNRiTGFvcKLLkD6882pkFsTT40nC2dQptSjAZE5Rz2gUWWvk\n/7xCSCkokqYmyNJ0Ep4nn+qjc6FdEYOjWz61aGyn+zDKtLLsTHSZY4hW+TjE7XYV+ly31GJcFbUa\nciI6aTraIrUoAIgi5Ia3ozbIL6doNuS/XArxAQSByRwF3dx1pOTAjh1m6t53crbXTWnpn6aOS+mo\nt9U7MabLs97+THR6OHJWPus2sT2CbTfJR0ldCW1CH+KpbvL/QmpJLiWueQTQyz9xDUJK4YpMOtHM\nAJw70k9ykptlK5Ikd67Zzw1jUNkh+SZpBbkKggDHz3wfgKoq35+YJZBmEkGArTKsLDsbuoIoxCr5\n2KHtvYno18jLgTsXuoxRHOfkofztVhf6cStkyT9xDUJK4Yr4rmYfu7USlwseryyVTB4vQu0g+qQ+\n2TjRlIStLYrP3qiM2163NgGxP0lqMaawD6ej3zgitRjzQqtVyabZjv3MAPqEbkX4sSDkU5g3+QUq\nLE3yiPaxNzgxLJO/w0+O2LoTMcqwsuxsZK1fRs94HDIo3cNwv4t+dxwZRTKP2rqEbnmkbAIc7A1O\n9Apw0HsJKYV5YiqMwXJRHqs2QVSj18s7+UqOuFzQMpqCbqMyssHUeu1ksx2H9J+1+H4n2rAW1JHy\nLKsyE+3aJMQeefS5FkXQy7ysii8hpTBPTFtTaRjKxiODz9beEY1heaTUYigOhwOW0U5EvvyjtgCI\ni0MX1oxY1y+1JIinuyf7CysE3aZ0xNEMmJDehGRvi0Rnkmf70tmQx/5KAaQWZoN7lO7OCVIzpMsk\nnpiA5v54tGvlU0toLryOeseZPsacHvI3JfkcDz62umGMKgGS5VdZdi50cd2INX3wCWk/b/vZYfQp\n8q615Ys2PwIRHR5HE1KWq56YgJb+OLRrEq4+WCaElMI8UUVHYdKcw3I0m9SPSddXoaUF0jS9RObn\nSibDfPE66n/3jff49a/h95U3SiqP7WQvxvguxTjoqysqaHRacPxYxHLoFbbv3ClZcTd7owu9Qmr3\nwGQxUpVaRd8ZB0kSKoWWFkgN7yfSpJDdKSHz0YIwJXRgOd4nqQyCAHqVCDplJMIAGAoTEHql98fY\nzo5gTFPGare6ooLXd+3iSyPnyOuI5on9+3l91y7Jeg7bmzTo9Mp5XahUoI3rwXFSWpOX3a6851U5\nn7IMMGUMYKmTNk7bbnNjGG+AHHn17r0Shi1pCKPSR60IjW4MOeNSizEv9u/Zw5NW61TDGIAnrVYO\n7N0riTz2rhj0K+QRfTdfdOkjiHXSLgLsggf9uCWkFJYqJv0YFqu0pgfhzCD66E6IVI6jOW1lOk5P\nBH1t0sa421oiMObLv7IsXG4t6asUQLrWkuJAMvoi+fuxfNHmeHDYpFsEVFdU8O/f/TlNboFH7r1X\nsl3eQgkphQVgWqnB0iJtHR/7+REM6fIpkjYfVGFqDOHN2I+1SyqH7WICxjXyyRC+EjNbS3qD3qRo\nLelyQetYKrkb5dOjfD7oTBGIzdK4Tb3mv+W2CT7nsUlu/lsIIaWwAEzr4rD0SFvpULB5FFGUbCaG\n+G6EU9L5Y0ZGoNsZS3ZhmmQyLARva8k4hohhmC7SJGst2WJzkk4nEdplQZ97MejWxktWjNFr/rOj\nR48dkNb8txBC0UcLYFnRMkZc4fT1Sddq1d4agWGT8j42Q/ogwjnp5rfbQRvWQphRGbZdb5TR7r17\niXhd5NtbP82Xdn9Ukugj+/td6CLbIUz+EW++aAuTJnMVRkYgOrg7RK/5T0Q3pRRAOvPfQgjtFBaA\nyqDHpLJitUozv9sNYk88utXyyNRcCMbccQSbdJl/Nqsbo8sCucp5sRWXl/P4a69xQ+xFyr/wHenC\nUWv70Sf0SDL3YtAZwnCEGSZXBEHGFRmJB7CjR4c4dVwK899CCSmFhZCSggkLltphSaZvb4dEzRAx\npmxJ5l8MhnwNQot0WZ222gGMkc1BXzH6A13yoKRZzeKFUfTp0tzziyE3F5onMnFbGoM+9/adO/l7\nw2YiGCOByQgoqcx/C0V5dggpUakwJXZhOdEPXw6+rVIQQB/WpKjwNi+GNbEIv5Yuq9NWN4xBQRm5\nvuiyx7E3SBdFY7d7WJ8rfbmIhRIZCclRI7TXtJP1seDOXVxeznlLApF/K2K+8UYmEhK486GHJNvt\nLYSQUlggpqxB3q2X5gG128HgsoDuQ5LMvxgMm1IRhqQrRCdYJ9iUrYxeADPRGcM4ckq6UGh7ayQf\n36zMV4U2dRixboAsCeZOTdnI1rC3MR86pJgsegiZjxZMvsGNxSZNrLtwwYl+wgZpyoig8SW1MJsx\nt4a+Xmn8CramcIx5ynkwfdGvikHslM7sZe9JQLdKeX4sAF32BKJFmvIc9hNdk/WiFKQQIKQUFoxp\nVTiWNmkeEPvZYQyp/Yq7yQBUCfEY1CLCqV5J5rd1xmFcpZyEP19061MQB5KDPm91RQUPby/DOpTC\nL194UhEx9jPR5mlwNEvzvNjPDqPPUZ7ZLaQUFkjO2mR6RqIYCnKnv+qKCg78+SyHhup5pKxMkQ+o\nIbYT4WTwo1j6+8E5riZ9lTL6KMwkc2NO0JvteJOv/u7A+8Th5AdH31RM8pUvutVxiF3S5CrYBQ/6\nAuWUzPYSUgoLRG3QkRfRHNSwVO8DGtGfzHeGzigqO9IXQ8oAQl3w++babGCIaEGlV56DHkCdk0UO\nLTRZgqcVlJx85Yt2RSwOVzb0BH8xYu+IQl+onJLZXkJKYaHodJg8DVgswZty/549PLEEHlBDthPB\n6gr6vDYbGN1W0CqnfPE01Gp00R2I73cGbUpv8pXvPQfKSL7yRadXIUbkT94EQUYcSEa/TQoX9+II\nKYWFkpuLaawOy4Xg2Qo1TiddpBHFKPFcrnuktAfUYFQjNAe/naOtwYVxvAEypa/Ueq3oEvsRa4Pn\nj/HWXlJi8pUvWi043DlBVwpDA26GJyJJ35oX1Hn9QUgpLJTwcEzxHVhqgpfM44qMRMCAAWHacaU9\noIZV0QidsUGf13ZmCENiD4Qpo0LqbOgyndjPBy+k1lt7yXenoJTkK18yM6HHFY+zQbz6YD9iP9KG\nNsS0zfsAACAASURBVKwVVUJ8UOf1B8oMPpYYU84IvzsfvJ3C9p07+f7pP6Nvv7yN/05+Pncq7AE1\nrEtEGEgN+ryCZZxbM6Ut271YdHo1R4JYJsSbZPXX96ooSm5kd1GZYpKvfFGrISdpiKYzveQHcV77\nkTb0CRMQ1Fn9Q0gpXAOmPDeW94JnBikuL+c3JRmcePFdzLeUMBEVpcgHNLUwm3F3GL29kBTERmw2\nMQxjoXR1l/yBfkUUvzsc3JDa4vJyYsPO863vfpktX9sU1Ln9iTbThdjgDK5SqO1Dvyz4plJ/EFIK\n14B2ZSwdr0UyOgrBsuCEjWVyn1HFrsrK4EwYAFQ52Rg8F7Bbl5O0KTgPjMcDto5YjCuVmaPgRVeU\nhNgX/NK89uE09DcqL4LGF50xDMf7wV0U2C3j6I3KC0eFkE/hmtAYtehju4LquxKsExjyFP5xhYdj\niGpFOBG88MCuLohQjZNYoKwGMTPRbslEHM3AE8R321BLH0OeGNILleugB9CuuJQR7g5eHxJ7swb9\nquD7z/yBwt8yEqHTYYoQgxqWam+NQL9GmaUGvFRXVNDutvLcY/uCloBns4ExskWRRQR9iTNlTjbb\ncQTPN2J/x4Eush2VWnkZ9L7oTBE4NHnQ1ha0Oe09Ceg3Ka8cDYSUwrWh02GaOB80peDxgNCbhGGL\nMjNy4XIC3mfHLrCqOTxoCXg2GxixKTdHwYtajS6iHfFY8F5s4vud6JOk65bnL7RaECNNwQtLHRnB\n7sxEv1WZO6yQUrgW9HpMg6exWIKzl+/tBZV7gqQNyot59uLNkDUgIGAAAp+AV11RwfO7f07rQA2P\n/N3fKS4DfCa6hF7E08EzvdnPDqHPkqaYnL/YscOM2WymevAVSr/6AqWlZkpLzezYYQ7YnONnG+gg\ngxy9Ml22ypRaahITMWlsvFrvAgLvMBUs4xg8NshbEfC5AoU3Q9ZXKUDgEvC8O5MC67cowsaDb73F\nw5c6cCktasuLLmMUe33wnAr2xgn0q5T9ihAEOH7cDEDVOWCqJaw5YHM2HW4iKzoTjUaZfqzQTuEa\nyc9xYmkIjuPKfrQDfXTHZNcQheLNkJ2pFAKVgOfdmQgYJs1HKLM0iC96nRtRCKKztC1Cka1fpcZ+\n8iK61ODX+PIXIaVwjRhMGpraNIwFYXctnOrBkK7cmwwuZ8im0I0LDb0kBjRD1rszsWGcUgqgvNIg\nvuhMkYhtQYp993iw9yWh36zM1a6U2OtH0CuwU52XkFK4RiIM2eQkDgalJ7j9vBO9TtnJV8Xl5ZQ9\n8wzfLSsjBoF/2HIvdz7zTMBMOa7ISNyoENFNKw+itNIgvugKExB7glQ2obMT0aNFXxT83AilY7eD\nvkC5u/qQUrhWdDpMcW1BiUASHGoMK5T7MvNSXF7O46+9xg3J/Xz0rl0Bte1v37mTXfqbSKaHaCZ3\nB0qs3eOLblMG4khwItDGzzbQ7skgJyco0y0dPB7sndHo1wUxZd/PKNuLJCV6PSaNHYsl8M5fe1cs\n+g3B77wVKAzZToTTgQ11LC4vp6YuGc237Zg3bmYiNVWRpUF8yVy3jB73OKM9I0QlB7Y9Z/OxFpZF\nDxAeHvxaVf7EYAAw09cH1tODbLwhDKKiLx0PAJ2d2N1aPq3gnKJrVgoDAwN84Qtf4OTJk2zcuJEX\nXniBuLgPXgiDwUBCQgJhYWGEh4dz9OjRRQksG3Q6TOPHsVi2B3wqYSgdw03SdI8KBIZ8DULDeMDn\nSUjdQjEvYn7nHUU76b2oNWpyNO00HR3HVBbYSj72Uz3o0oYAZSuFffvMwGT3veyUEd587BBhZbcH\nbsLz57Fr8tEblJvwd83mo+eeew6dTkdDQwO5ubn85Cc/mXWcSqWisrKSkydPLh2FAJNKYeBkwM1H\n/S2DOD0RpBZmB3aiIGIoSkBoCbzD1PZ+N4akviWhELzo4nsQT14M+Dz286OK92P5kpAAGdGDWI52\nB3Qe97kLOMaWKTqB/pqVwtGjR7n//vuJjIzkK1/5CkeOHJlzrCeYBVuCRXb2pFIIcFiq/aCIIbIV\nVdjScf8YtmUi9Abe5mqrG8aoD14IZzDQpQ5jPxv4SDTRoUK/fOkoU4B12oucPhHYqKCOU80kRI8T\no+CN/TWbj44dO8bKlSsBWLly5Zy7AJVKxW233YbRaOQrX/kKd99995znNJvNU1+XlpZSWlp6reIF\nnrAw8rJHsdvB5QJNgLwz9ve70Ccp1z45G4atyxBcUZN9c5MD5ysR7PDFWxT8dM6CPteF2BjglqZu\nN/aLsWxWsLN0NtatHOP0uSg+HcA57LUD6DOdQGCK4VVWVlIZ4ErJV3yV3XHHHbTNUkTqySefnPfq\n/9ChQ2RlZVFfX89dd93FDTfcQOYcbRF9lYISiNIvI2N0DIcjCqMxMHMIdUMYcpRZgncuUlJVTKjD\n6T16hqSyrQGbx9YRi3GLMouSzYUuP5zDbwVYKTQ1Ydfk8xfLlR/x5su6LRH8/O3ARm/ZrS50qwPX\n4W/mYvmxxx7z+xxXtEkcOHCA2traD/y7++672bJlC/X19QDU19ezZcuWWc+RlTXZuHrVqlXcfffd\nvPLKK37+EyREr8eU2hNQv4Ld5kafr8xmHXOhUoEhoRvhUHPA5hgfh7bRJLS3GAI2hxT8//bePC7K\nqv//f83GzDAMOwz7zMCwLwOCIiqKKy64ZqWlZlmf28o26y5NLWzz12KmlnZX2vLN+y7r4wdLUdQM\nl6RUVNRcQRYXRGQRZFPg9fuDuG7JzG1QGa/n4zEPhus651xnruuc633O+/0+7+MXbo+isnYOyXzk\nCAqlxg6tF/8rzL2dkVPVTqM3AGhsRGGJCvrQjj07vWFFdXx8PJYuXYq6ujosXboUXbt2vSxNbW0t\nqqurAQClpaXIyMjAwIEDb7y2dxCbV6/GzF9+wbnjmZj3zIJ2C7ZWcFoJQ2TH2+f1ahg969vVLbXo\naAM8WQxFeFC7XeN24NfJFUU1zu16DR45iqILHtDr2/UytxxDZzeca9aivOh8+1wgPx+FtiEdfhB3\nw5rwxx9/HOPGjUNwcDA6deqEt99+GwBw6tQpPPbYY1i9ejVOnz6NUaNGAQBcXFzw/PPPw7ejhzDG\nf4OtvZmfD3vsxpmD7sh45hkAFg62RqKwygn6LjrLlXmHYAiQoeBI+8UIyd9yAkbbs4CN9bzZJk5M\nRV4ekNvUjKSeaNmAGC2++K2ul5agNOcUNMpGaDTWpbaUyiSIUh9FzgZn9H6kHex0hw+jUBWMfh28\nyd2wUNBqtVi5cuVlx728vLD6j1Gzv78/9uzZc+O1u0NpDbYGACbkYhu6IS0vD7MWLrSsUCgtRUGz\nHwxm6ws1YIiyR8Gm9ls7mb/jLIzuHTte1J8pKAC2bk0FAGzacumZVIuUP3FiKgoKgOrd+WhofgtJ\nSS3Px9JC53ZidjuFnCwlej/SDoUfOYLC5pgOP8MSVzTfAK3B1oAWoZALEwDLB1urzTmKasTB3Qpj\nkhlinLC5xh04fx74i0WPN0v+wToYOvACottBQQGwaVOq8P+mTa3fUi9P3EExG6uRtbed2sXhwyis\nce3wQsF6nN9vIY2XLIbyxzEcgz+aIbF4sLXC34rhpy1v1RJYFQZ/GQpsgoBDh66e+AbIL5TCGNGx\nDX4ilscc1YycfPt2Kbvy95Nolsja08v6lmCFr5v2pzUMNADYoQYOOIen9d0sHmytMOcc9O63bk/e\nW4nBABQ0+QB/eLBZmoIyLYzxVjjFErkpIrpqcajcHRfbIcpK0eE66H2bIengE1RRfXQDtNoNZi1c\nCNnhw1AUH0fg5HfRc0iCRa9TcPRi+wXuus04OQHNUjkqdx2D43gLF15Xh/x6Txh7dOy4PSKWRxPq\nB19ZMQ4fNiAiwoIFV1X94RTSsT2PAFEo3DA9hwxpEQ7r16Nw/FloXAdb/BqFJ2TQW9mK3FYkEsCg\nq0fB7gpEW7js2t2HcU4SAk+/jt9BL6U14ufJo2dw/JQKHg7HQKkUann7uqhaFUYjzM0bkbNHj4gI\nCw7pjxxBoVss9PoOPk2AKBRuni5dYCr/ALlHkgFYcCVjUxMKKhyQYkUhs/+MwV+KgsMXLC4UCrYc\nh5+dO6RS6wkiCLR4AG1evRrfT34d32IlCs61RAaYURCAzatX37Tnm8EAnNn7D5RecER4nLrNcavB\n0RFm+e/I+W0gHhxnwQHX4cMotAu3igV/olC4WRwcYNJV47vscwAsOGIrKkKh3N/qgpJdiiHMFvlb\nNEB9PWBBI33+zjIYdbUWK+9OYt2CBZh/4jcsgR2qoIU9qvGmhdyhv/giFc/4roD3qHC8+Fn77xNy\nuzB7ncXCHRY2Khw5gkLpaHTq4J5HgGhotgimOAfkHrZw9MUjR1AAg3WN0v6EIUCGAvso4OhRi5ab\nf7gBRv+OP43/K+QNDZAACECe4AoNWM4d+tczRnTtb30r6C/FHFSHnEMWXph3+DAKL3h2eHdUQJwp\nWISAvkbkrtKChMU8Dxp+z0VZYx/8ETrKqmhdJHX2LHC6pho5Y7IAN3eLLZLKL5LDMMA6X2yt7tCB\nOIpcmNAJuwFYZu/p+vJa7L8QhLjB1hUI78/4hDvgwiagpATQWSpYwOHDKKxwEIWCSAuOfTpB3VyD\nkhIVrhAA9rop2nUWPk41kMmsK3wx8BeLpA60fku9PPH1UluL/GoXxMdap+fRgKefxoy8PJjycnEU\ngQBa9p4eaAF36OwfTyFUVQ9brSXdcu48JP5GmB2LkJMTjAGW2DiRRP2RIlQ0yq1iECeqjyxBSAhM\nkjyL7upUeLAWeu/23RDEKjl0CAU2QTCa2i988e1k6Xc7kG47CJ8pD+L/k1TA4DQSa2wHYel3O266\n7KyNtUjwLLRALe9wjEZEK/YjJ8dC5Z08iSJ1MHx8JFax0FScKVgCqRQm92rk/lSAHsMsY2wuKAAM\nfazLpfKW8PvvyG8a2W77W9xuCgqAPfsWCv+frwAKKwAH59SbLjsr2wb3hLVf5No7BqMR5vrPsSHn\nnpsuauLEVBTsqUBFfQDKm1LRutVBR44XJQoFC2EKliFvZ4VlCqurQ+E5B+jD2jluvhVSmZ2HRokC\nLtapPWo3SCDrmA7vjbOCoe7VMBhgrsjE3BwCuDkjYEEBsClnvvC/NcSLugtawK3B1MUZuUcttBd1\nXh4KNOEw+FunCqQ9yd9VAaNnfYcPNXCrKSoCmhoJQ1crUIpfDZUKYS4lyMslLoltKfIH4kzBQpj6\nG5H73sWWLb8UN6b2afXKwdmz2FOrxr55u/H55x17KvpXtK7MBYCmJiBrazO6hZbDYLj5rTPzD1+A\nMUIUptfLr78CCZJfIQmOud1VuSUo/b0RUFyLAwfsEHN3/ORrRhQKFsIUo8VRBIJ790ES2+mGyviz\nV85/DWGplyfuwPxZwCX65mNG/K9I/nzszRVcU4P8cgcYwq0zNEh7kpXZgARkAR6DbndVbg3+/jCz\nBDk5olD4M6JQsBDOzgDkcpT/tAsuNygU7laSO1dg7a+OSL7Zgg4eRL5DNEz+1qsVvXSWdTbvHIrP\nyBCZYHfTixyztlzEu/pTlltoc6djNMJ8Ohd79gTcXDlstkx97iBEoWAhJBLA5FmD3I3H4fLi7a5N\nx2LgcBtMWGOBsAq//458ZRT6W6nnEdB2llW05nd0GabDzz+73tS7vL4e2J+rQlxKO8STvlMxGmHe\nloP0nJsbihicqpAnnwy5T9s9rTtyJAJRKFgQU6gNcrOrEH+7K9LB6DRCj9KJ9SgqaIaf4SZG+b//\njoLGwVbrjvpnfHv5o6nxPE4WXISP8cbdl7OzgVDnEtiGGSxXuTsdoxHm6v9DztEXbyoSwRcTeiL8\npzh8sdwPnTtbtoq3C+udZ98GTJ3skVvlDpw5c7ur0qGQOmjRX/0LMv5zc4v/uP93FJxzumuEgsRW\njVjbg8hOL7mpcrKygAS7fUBgoIVq1gEwGqE7kQ0bG+DEiRsv5vhvp1DS6IJOVqQxFoWCBTEFSpDr\n3LnFleMGMBiAXp2mQi2Zhri4VPTq1fLpyFPRa2VgwBFkrL459cWZfSVQ20qgtc6wR39JrPdpZG+q\nvqkysrKArhe3AkFBFqpVB8DHBzh7FubIppta2bxuqy36RZyGzIoc3kT1kQUxmYB/yYKBrEXAsGHX\nnf+LL1JxdtFyBDybgl9/tbWqhnY1BnStxjPLnNDYCMivs1VOnJiKgrwmVJ30wQW7161iVem1EhfZ\ngM9ybrwbk0BWFvFu1Q9A4FQL1uwORyYDfHxg1p9DTo4zUlJurJiMw3oMerTRsnW7zYhCwYKYTEBu\nta5l6HWD/LqpAfG+xZDJbtIrooPh0dkXhhUl+O03Pbp3v768BQXApq2vt/xTbR2rSq+V2ERbPJ7u\ndsN68ePHgaaLzTCqiv9wobs72Lx6NdZVViJ33Ts4dGEQEqPPX/d+FE1NwIbyTpg3xrqEgqg+siA6\nHVDXqEDlzlyg8cYayra9GnSLts4NYv6WsDAkqzYhI+N2V6Rj4dvDgKaLzTh16sbyZ2UBCSEVkATd\nPfaEzatXI+OZZ/BGeTleO74KTSUeyHjmGWxevfq6ytmx4Ry8Jafgbb75RZd3EqJQsCASCWAySZDn\n1hXYt++Gyth23A/d+ljvbmtXJDQUyZXLsXathUKF3CVIQkMQy53I3nFjEXWzsoAEXf5dZU9Yt2AB\n3szLAwAE4zCOwxcv5xVj/cKFV8nZlozvziHZfbfVre0QhYKFMZmAXEPfG1IhXWxoRnZNMOKHWWhT\nho6Eiwu6a/bg8CHi7NnbXZkOhEaDWO0R7NxwY9FNs7KABJvsu0ooyC8JeKRAI0JwCPsRcd2712Vk\nqpAcfhOuS3coolCwMCYTkOsYd0MeSDkbSmGQn4CDr3071OzOxyY8EL3Cy7Bhw+2uScciNqAS2b9e\nv+dWfT2wfz8Qe37TXeWO2rp7XStm5CAH5uvava6iAth33AGJ3axvRbMoFCyMyQTk0nRDM4Vta86h\nm6tl9yvuUISGItnnd6xde33ZDN4X4YYpCA7+rxvv3eLKu3n1avxcsgab9kgxY0DydenFs7OBkBBA\nc2zfXTVTGPD005gR8F9HDjNy8C/7nuh/HbvX/fQT0MPpd6giTFdP3MEQvY8sjMkEfFXu2LKArbQU\ncHO75rzbfpViUNBdrDsJC8PAbT/hzXVJ1+VN869/DIPu2zBs2qS13J67HYBWg+mCk3n4BsAT6/dj\n0bFnAOCaPGmysoCErgSW5rU03LuE1nsza+FCyIqKkHeqEBe9X0HPIdfufZWRASRjHRBsfQEExZmC\nhTGZgNxcCdCly3WrkLYdcUG3rnfxFpyhoQg4uRm2ttdnp9+UVoEw59N3lUAA/mswlQCIRTayEYs3\n8/Ku2WD6669AQlAZ4OICaO6uDZ16DhmC19euReqWLZjftAsFx53QfI2aIBLIyCCSy/9jlWo3UShY\nGC+vFn1jTWzP6xIKx48DdQ1SmBLc27F2dzhhYcDBg0hOxnWpkH78WYNhsTfok9mBudRg2ioUAFyT\nwbRl0RqQ4HTorlIdXYaLC5yj/eCgrG/Zy+QaOHQIQGMTQnQVgK31hWkXhYKFkUoBf38gz6/3ddkV\nsrKAboodkIRYIFpoR8XDA7h4EQO7VV3zegUS+OFQ0I0sIO/wXGowvVQoXIvB9PhxoK62AUveegyp\nhw5hZvL12SOsipQUmDV51xzuIiMDSI4qttq+KgqFdsBkAnLtzMCOHde0iG3z6tV474UVqKnZgJlP\nPXX3dk6JBAgNRW/Xfdi+HTh//upZ9u4F5BfrEDpQf/XEVsalBtNYZGMn4jDdP+CaDKZLP9oF1wtb\n8ObhQ0gtLsYb69bd0AIuq2DIEJgrMpGTc21rZDIygGTPHCDYOoWCaGi2IK3baebltbj6LWhKBLpO\ngyHC7ooxeFqNhTj+b7yKeUjcsBUz8vMBXJux0OoIC4NdwX507twdmZm4akyaH5bXYZh0FST6J25J\n9e4kLjWYSk+eQtXvCsS9+jF6Dul31bzp3xTikdrf2hx7My8PsxYuvPvaXXg4zDaL8Z8t1QD+3h28\nvh7YuhX4970/W63aTRQKFuTP22keA4BsAHapf5keaDEWzsg7hQ8QjjjsBHAXd06gxa5w4ACSk1tG\nZFcVCisa8Y7/7y16u7uQnkOGtLSTc+fwq8sOKOx6XVO+UxXBSMAHlx2/3gVcVoFEAvMAHaatubql\necsWIDIScCrcA9w/4BZU7tZzd/akOwh5QwN2Ig4R2A81/tsh78rOCQChoYKx+Wp2hZMngbwiBXrE\n30U7hl0JBwfEuhYhe1XxVZPW1wNnav2FQcilXM8CLmvC9EAXnDlng6qqv0+XkQEkJwM4fNhq1Uei\nULjNNCqV2IZu6IZtbY7frZ2zdaZgNgPV1cCxY1dOumoVMMh3PxSRIbeufncwcZ0lyN7WcNV0u3YB\nRrcyvGXT1t71csC12SOsEVnfJIRLDmDvlr8PF5KRASQn1gJlZYCf3y2q3a1FFAq3gotXHskOeOwx\nLEX3NkLhbu6cm/fuxcziYszumQg3yXp8OPfKCxZ+/BEYplgLhIffwhreucQO9UJ2/tUXYGX90oz+\nDZuQPH06ZiUnI7VXL8xKTsbA+fPvTpUlAKhUMPuUIee7I1dMcvIkUFR4AT/MGIBUmQwzBw2ySsO8\naFO4BRQXXLjiucScvTgjfx5bu3+L39ELTSoVBj711F3ZOTevXo2M557Dm83NwNatCMLnmP3Fwxgx\nuOiy+1FTA2zeDCyz/X9A+ITbVOM7C79Rcbg4GThVeBFe+ivv2Zz13XGMdD2Knq++ip5WFuHzZjB3\nt0PO1ivrjxa+mwOv5pN469dfWg6sW4cZf0Rbtab+KgoFC9ISaye1zbH6oyew74w7Pv8cePjhP2U4\nfhxHF66Fg+4VzM/8+tZU8g7m0pDGANAf6/F47WKsnf/gZZ3ugzk74SKXYN7ZPDQ+9hgGPP20VXXM\nG0Hi6oJYzS/Y+Z0rhr3w1/puXriIrF1KvP3lAKsL+XyzmO8NxlffFuBK2//9+G0FXqj53zbHrNEp\nRBQKFuQv3U5Xr8bh15ejz0xAoQDGjbvk3PTp2NZzGrppxMcAtF2hCwBuOIsgHMGpM213odu8ejWW\nL6jFc9Vb8DSarHbEdj20ukMfbCzFhOkX4PhGKSiVIqyTM9Zs+ExId/z973BROgj+DyTcvsreoUT1\nccXvtEXTlm2Q9e7Z5lxTE5B/NgbJGHdZPmtzChFtCu1N164IPvB/WLemCf/8J7B8+R/Ht28Hfv4Z\n21yGolu321rDO4Y/hzQGgGRk4GhV2xu0dv6HKK7uhaH4UTh2PTF/rJEWd2jgTL0bzjV6o/BcNIoq\novDzz+UY1O/RlkT19ch6bysSulKcJPwF9vaAu309cpf9dtm57GxAo6yAD05eds7anEJEodDeuLgA\nnp4IR0tI6KeeAtL+j8BzzwFvvIFtOxSiUPiDP4c0BoBC990olQ5sc6yk1B8eOA0jCtoct7YR242R\n2ubT0LwCB3eVt5z65BNk2ScjYfDdsxfz9WI2S5Cz9vI4WhkZQG/XXZhhZ9fmuDU6hYh6i1tBQgKQ\nlQXzP6KQng70SHgFgTID7JcU4NChVEyd2qLeNRiuoIK6S2gT0ri+Hk3FxXjYvhirch1QUgIhCurB\nyp4Yhh8uy29tIzaL0dzcYpmfMwe/uuXibVFz9JdMnJiK3QXAruJqLOr6EqBSA2jpl7nbn8Ks+pVQ\nL1mCWUuXtrRPK3UKEYXCraBr15aId//4B2LD6xEmOYhd9d8DfzgxbN7cmjD1NlXwzkFYoQsADQ1A\neDh6h5Vg3Todxo9vOVx8MRknJfOAS0LVvBwQgIFWNmKzGFIpsHAh6rv3xb41GsTF3e4K3ZkUFACF\nhakAgKJLNEhNdS8j55ASPTdMhrpPAnred99tqd+tQhQKt4KEBOCDP0IKzJsHrT2Au3gvnWtGqQTm\nzcPA//kIGWtSMX68FLm5QH2lFA8NdMWs5mSrHrFZCidPT2DuXOxasBPBx+66rRNumooDxehmLIa6\nz90xxbrjbAqZmZl/+f3vjl3P+etJd7W6XGvezUVFmJmbi9QuXTDzlVdwztnl0pQ3XL8bTd+a9kby\nXE++a8lz1bJSUpAcVIB1P9Zj48ZMzHvtB6Q0piFp6Wctm6RkZuL1tWsFgXCjv8nSaa/Wdq/0DK7n\n3l6a1mAAHBwKWs/i0na1/2Ae9FWxuHfqRygqmoikpFQkJaVi4sTUvy3/Zs9dbx+7nnyXprNkn78k\ntfDteG05kif7W7j89u+zN4ooFG6iLteSt3VB1htNTUjdsQNvNDaivKjo0pQ3XL8bTd+RhMLEh2cj\n/vdynD0/GQP6TcHi/zcTX15YBZfQ5/7ypXa3CoUvvkjFiBEG9OqVCr0+FR7uL8FP2gc90BdSOqHo\nwlqcOv0OysoM2LQpFZs2pf7tpjKiUEgVPlXNBfj00+dvSpDebPpbKRRE9VE78+cFWQBgrK9D0RXS\ni7SloAAoKYsDkIompgIALjIV5ZVAzi7RhnAprU4Kqamp2Pj119h8ZjsAoBeSsPlv8olciVTh26Gj\nqTh0tO0xa0UUCu3MnxdkAYABBShwGAFDdDQKCjJhMKS2HDfc2rp1dCpOXO4zLtKC9JLNnSS4ts1j\n7nYMBqBgzwgYzlXiV5zG1UMLWicSkndEi5GIq2lERERErhtLv8LvmJnCHSKbRERERO5q7jhDs4iI\niIjI7UMUCiIiIiIi/4XtzKZNm+jn50eFQkEHBwfqdDqaTCY+/fTTDAkJoclkYr9+/ejg4ECpVEqJ\nREKFQsHY2Fh+/fXX9PPzI1rWrlIikdDBwYHe3t7s2bMnjUYjU1JSSJJ6vZ56vZ4AaGNjw169enHZ\nsmUkycbGRkZHRzMlJYXz58+nRqOhUqmku7s758yZwy5dutBsNrNz586Mi4tjQEAAnZ2dGRgYc1CZ\nFAAAIABJREFUyK5du3Lu3LmMiopiVFQU7733Xo4YMYImk4lKpZJKpZKRkZGMjo5m586dSZJff/01\no6KiGBkZSScnJ/bu3Vu4Hw8//DClUimVSiXd3NyoVqvZtWtX5ubmCmmef/55ymQyqtVqurq6Mjo6\nmoGBgQwNDeWiRYuE+7ZgwQKmpaUxKiqKZrOZPXv2pMFgoFqtplqtpkQioVQqpU6n46effkqSbdJ3\n69aNMpmMkydPZmxsLO3s7IQ8SqWSPXv2vCxPfHw8lUolNRoNVSoVY2JiqNPpaGNjQ4VCQblcToVC\nQR8fH5rNZsbFxVEmkwnPf+bMmWxsbKSzszMlEgkBUKVSMSwsjPb29pTL5QRAqVTKYcOG0d3dnRER\nEXzvvfcokUi4dOlSGgwGAqBcLqebmxvj4+Pp7u7OsLAwenl5UaFQ0MbGhhKJhBKJhE5OTszMzCRJ\njho1iiqVikqlkvfffz/9/Pzo5uZGlUpFtVrNcePG8ezZs8Kzaq1PaGhom7bk4OAgtEu1Wk2pVEq5\nXE4XFxf27t1bONf68fb25po1a3jvvfdSKpW2adOt32UyGSMiItirV6/L8gPg1KlTSZJLly6lQqEQ\njms0Gr733nt0dHSkvb09o6KiaGtrK9Sp9Rqtv6Fbt25t6qBWq3ngwAEuX76cAQEBBMCgoCB6enpS\nLpdTKpVSoVDQ19eXhw4dYkpKipC/tewxY8YwKSlJ6Ds2NjZCe2r92Nracvr06fT09BTOqdVqDho0\niF26dKFKpaJUKqWNjQ0DAgKo1+vp7e3d5h798ssvXLRoEW1tbQmAsbGxXLZsGfV6PV1cXIR3SOsz\nLyoqYlJSEnU6nVBGcHCw8E6yt7dnREQEw8PDaTabOW7cOE6dOlW4B1qtln5+foyPj6eTkxMjIyPp\n5eVFAAwMDGRMTAwnTJjAoUOH0tbWlvb29m3yJCcn09vbm9HR0QwNDWXXrl1pa2tLOzs74V2WmJjI\ngIAAenp6UiqVCs/N29ubkyZN4pAhQ+jr60s7OztqtVqhf7f2x/fff59r1qyhk5OT0A+lUiljYmJY\nW1srvFda+1BZWdnfvrPbXShER0fTZDLx22+/pY2NDb29vblr1y4qlUr+8MMPTEtLo1KpZKdOneju\n7k5/f3/27t2bnp6etLe3p7u7Oz08POjs7EwPDw9OnDiR4eHhfOKJJ2h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AmpvJf0ajVdxjY0lITKStNYBGcecxAQBoF0QavhYh5Y6lz91oWPrcTcDvf/97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\n27XLfLn6nqAP36FDyZrcWyExiUfuu494Gqm4m9V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+ "text": [ + "" ] } ], - "prompt_number": 10 + "prompt_number": 3 }, { "cell_type": "markdown", @@ -92,7 +111,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 11 + "prompt_number": 4 }, { "cell_type": "code", @@ -103,29 +122,30 @@ "ax1 = subplot(121)\n", "ax2 = subplot(122)\n", "mesh.plotImage(mesh.gridCC[:,0],ax = ax1)\n", - "ax1.set_title('x coordinates') \n", - "mesh.plotImage(mesh.gridCC[:,1],ax = ax2)\n", - "ax2.set_title('y coordinates') " + "ax1.set_title('mesh.gridCC[:,0]') \n", + "mesh.plotImage(mesh.gridFx[:,1],ax = ax2,imageType='Fx')\n", + "ax2.set_title('mesh.gridFx[:,1]') \n", + "\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", - "prompt_number": 12, + "prompt_number": 5, "text": [ - "" + "" ] }, { "output_type": "display_data", - "png": 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MQc+ePZGRkYGDBw9q0QaRqjjXpHfurnjQsrIyjB8/3nbb19cXR48exd13393E0qYbrgfK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\nqBD9+/cX586ds7u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"text": [ - "" + "" ] } ], - "prompt_number": 12 + "prompt_number": 5 }, { "cell_type": "markdown", @@ -149,7 +169,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 1 + "prompt_number": 6 }, { "cell_type": "code", @@ -159,40 +179,32 @@ "ax2 = ax=subplot(132)\n", "ax3 = ax=subplot(133)\n", "a1 = mesh.plotImage(mesh.gridCC[:,0],ax=ax1)\n", - "a2 = mesh.plotImage(mesh.gridCC[:,1],ax=ax2)\n", - "a3 = mesh.plotImage(mesh.gridCC[:,2],ax=ax3)\n", + "a2 = mesh.plotImage(mesh.gridFx[:,1],ax=ax2,imageType='Fx')\n", + "a3 = mesh.plotImage(mesh.gridEz[:,2],ax=ax3,imageType='Ez')\n", "\n", - "ax1.set_title('x coordinate')\n", - "ax2.set_title('y coordinate')\n", - "ax3.set_title('z coordinate')\n" + "ax1.set_title('mesh.gridCC[:,0]')\n", + "ax2.set_title('mesh.gridFx[:,1]')\n", + "ax3.set_title('mesh.gridEz[:,2]')\n" ], "language": "python", "metadata": {}, "outputs": [ - { - "output_type": "stream", - "stream": "stderr", - "text": [ - "/Users/larsruthotto/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/matplotlib/figure.py:362: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n", - " \"matplotlib is currently using a non-GUI backend, \"\n" - ] - }, { "output_type": "pyout", - "prompt_number": 2, + "prompt_number": 7, "text": [ - "" + "" ] }, { "output_type": "display_data", - "png": 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OFuyiG89pTZ2Eqk01OHIiqjpes+5mO3lcQ3+gWZVeGar7uWb2D6A6VvMJxp07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\nSzVUp+joUK5dK+bYsUwaNPC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