diff --git a/.circleci/config.yml b/.circleci/config.yml index c558419a2..46b755b92 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -208,11 +208,11 @@ workflows: version: 2 vcs: jobs: - - macos_vcs_py2 - - macos_vcs_py3: - requires: - - macos_vcs_py2 - - linux_vcs_py2 - - linux_vcs_py3: - requires: - - linux_vcs_py2 + #- macos_vcs_py2 + #- macos_vcs_py3: + # requires: + # - macos_vcs_py2 + #- linux_vcs_py2 + #- linux_vcs_py3: + # requires: + # - linux_vcs_py2 diff --git a/docs/Jupyter-notebooks b/docs/Jupyter-notebooks new file mode 160000 index 000000000..c9e35790a --- /dev/null +++ b/docs/Jupyter-notebooks @@ -0,0 +1 @@ +Subproject commit c9e35790a50db0d194eb461b535a69e9c875ce8c diff --git a/docs/Jupyter/1D_Multi_line_Plots.ipynb b/docs/Jupyter/1D_Multi_line_Plots.ipynb deleted file mode 100644 index a480811e0..000000000 --- a/docs/Jupyter/1D_Multi_line_Plots.ipynb +++ /dev/null @@ -1,789 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 1D Plots Tutorial\n", - "\n", - "This tutorial is for creating 1D lines plot using [CDAT](https://uvcdat.llnl.gov)'s VCS.\n", - "\n", - "\n", - "© Software was developed by Charles Doutriaux and CDAT team, and tutorial was written by Charles Doutriaux (January 2018)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Contents: \n", - "([Top](#top))\n", - "- [Create VCS canvas](#vcs)\n", - "- [Prepare input data](#input)\n", - "- [Basic Plot](#basic)\n", - "- [Basic Controls](#basic_controls)\n", - "- [Altering the X axis](#xaxis)\n", - "- [Altering the Y axis](#yaxis)\n", - "- [Beautifying the plot some more via templates](#beauty)\n", - "- [Multiple Lines](#multi)\n", - "- [Other types of 1D plots](#other)\n", - " - [Flipping the axes (x(y) vs y)](#xyvsy)\n", - " - [Scatter Plots](#scatter)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create VCS canvas\n", - "([Top](#top))" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import vcs\n", - "x = vcs.init(bg=True,geometry=(800,600))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Prepare input data\n", - "([Top](#top))\n", - "\n", - "Let's start with simple sine function" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy\n", - "angle = numpy.arange(0, 360, 10) # in degrees\n", - "s = numpy.sin(angle/180.*numpy.pi) # sin takes radians as input" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Very Basic Plot\n", - "([Top](#top))\n", - "\n", - "In its most basic form VCS does not need anything else to plot:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x.plot(s)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Basic Controls \n", - "([Top](#top))\n", - "\n", - "Let's change the color of the line and size aspect and size of the markers.\n", - "\n", - "For this we will need to create a **1D graphic method** and alter some of its attributes\n", - "\n", - "The following is list of available markers\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "---------- Yxvsx (GYx) member (attribute) listings ----------\n", - "graphics method = G1d\n", - "name = __1d_263737865552086\n", - "projection = linear\n", - "xticlabels1 = *\n", - "xticlabels2 = *\n", - "xmtics1 = \n", - "xmtics2 = \n", - "yticlabels1 = *\n", - "yticlabels2 = *\n", - "ymtics1 = \n", - "ymtics2 = \n", - "datawc_x1 = 1e+20\n", - "datawc_y1 = 1e+20\n", - "datawc_x2 = 1e+20\n", - "datawc_y2 = 1e+20\n", - "datawc_timeunits = days since 2000\n", - "datawc_calendar = 135441\n", - "xaxisconvert = linear\n", - "yaxisconvert = linear\n", - "linetype = solid\n", - "linecolor = [0.0, 0.0, 0.0, 100.0]\n", - "linewidth = 1\n", - "marker = dot\n", - "markercolor = [0.0, 0.0, 0.0, 100.0]\n", - "markersize = 1\n", - "flip = False\n" - ] - } - ], - "source": [ - "line = vcs.create1d()\n", - "line.list() # List what we can change" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "line.linecolor = \"red\" # Red color obviously\n", - "line.linewidth = 2. # A bit thicker\n", - "line.marker = \"circle\" #\n", - "line.markersize = 1.25 # A bit bigger\n", - "x.clear() # Let's clear the first plot\n", - "x.switchfonts(\"default\",\"Clarendon\")\n", - "x.plot(s,line)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Altering X Axis\n", - "([Top](#top))\n", - "\n", - "We would like the axis to be shown in radians, since `s` is a pure array the *x* axis is seen by vcs as 0 to 35\n", - "\n", - "Let's create a dictionary to show a few X points\n", - "\n", - "0 -> 0\n", - "45degrees = 4.5 in our units = $\\pi/4$" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "angles = {0:'0',9:r'$\\pi/2$',18:r'$\\pi$', 27:r'$3\\pi/2$',36:r'$2\\pi$'}\n", - "line.xticlabels1 = angles\n", - "x.clear()\n", - "x.plot(s,line)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "But we would like to have the axis labeled \"angle\" rather than `axis_0` so we need to make s a transient variable" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import MV2\n", - "s = MV2.array(s)\n", - "s.id = \"sine\"\n", - "xaxis = s.getAxis(0)\n", - "xaxis.id = \"angle\"\n", - "xaxis.units=\"radians\"\n", - "# let's make them radians as well\n", - "xaxis[:] = xaxis[:]/18.*numpy.pi\n", - "# That means we need to match or symbols to new values\n", - "angles = {0:'0',numpy.pi/2.:r'$\\pi/2$',numpy.pi:r'$\\pi$', 3*numpy.pi/2.:r'$3\\pi/2$',2*numpy.pi:r'$2\\pi$'}\n", - "line.xticlabels1 = angles\n", - "x.clear()\n", - "x.plot(s,line)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The last point being exactly 2$pi$ it is not drawn let's extend our *x axis* a bit\n", - "Also by default it is using the first and last value to determine the x values, this can be an issue when plotting multiple line (with different x ref for example).\n", - "\n", - "We recommend setting the x range manually" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "line.datawc_x1 = -0.1\n", - "line.datawc_x2 = numpy.pi*2.000001\n", - "x.clear()\n", - "x.plot(s,line)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Altering Y Axis\n", - "([Top](#top))\n", - "\n", - "We can also tweak the y axis, by default it is using the max and min of the data it is plotting.\n", - "If you have mutliple line plot this can be an issue as min/max will change with each plot.\n", - "\n", - "We recommend setting the y range manually" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "line.datawc_y1 = -1.1\n", - "line.datawc_y2 = 1.1\n", - "line.yticlabels1 = {-1.:\"-1\",-.5:\"-0.5\",0:\"0\",.5:\"0.5\",1:\"1\"}\n", - "x.clear()\n", - "x.plot(s,line)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Beautifying the plot some more via templates\n", - "([Top](#top))\n", - "\n", - "Let's draw thick line at tickmarks and dotted ones in between\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "tmpl = vcs.createtemplate()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "thick = vcs.createline() # for thick ticks\n", - "thick.width = 1.5 # A bit thicker\n", - "thick.color = [[56,56,56]]\n", - "dots = vcs.createline() # for thin/sub ticks\n", - "dots.type = [\"dot\"]\n", - "dots.color = [[78,78,78]]\n", - "tmpl.xtic1.y2 = tmpl.data.y2 # Ticks extends all the way accross the data section\n", - "tmpl.xtic1.line = thick\n", - "tmpl.xmintic1.y2 = tmpl.data.y2 # Ticks extends all the way accross the data section\n", - "tmpl.xmintic1.priority = 1\n", - "tmpl.xmintic1.line = dots\n", - "tmpl.ytic1.x2 = tmpl.data.x2 # Ticks extends all the way accross the data section\n", - "tmpl.ytic1.line = thick\n", - "tmpl.ymintic1.x2 = tmpl.data.x2 # Ticks extends all the way accross the data section\n", - "tmpl.ymintic1.priority = 1\n", - "tmpl.ymintic1.line = dots\n", - "line.xmtics1 = {numpy.pi/4.:\"\",3*numpy.pi/4:\"\",5*numpy.pi/4:\"\",7*numpy.pi/4:\"\"}\n", - "line.ymtics1 = {-.75:\"\", -.25:\"\", .25:\"\", .75:\"\"}\n", - "x.clear()\n", - "x.plot(s,line,tmpl)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "black = vcs.createline()\n", - "black.width = 2.\n", - "tmpl.ymintic2.line = black\n", - "tmpl.ymintic2.x1 = tmpl.data.x1\n", - "tmpl.ymintic2.x2 = tmpl.data.x2\n", - "tmpl.ymintic2.priority = 2 # To be sure it's on top\n", - "tmpl.xmintic2.line = black\n", - "tmpl.xmintic2.y1 = tmpl.data.y1\n", - "tmpl.xmintic2.y2 = tmpl.data.y2\n", - "tmpl.xmintic2.priority = 2 # To be sure it's on top\n", - "line.ymtics2 = {0:\"\"}\n", - "line.xmtics2 = {0:\"\"}\n", - "tmpl.box1.line = black # make outer box match thick line\n", - "x.clear()\n", - "x.plot(s, tmpl, line)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Multiple Lines\n", - "([Top](#top))\n", - "\n", - "Let's plot multiple lines " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c = MV2.cos(angle/180.*numpy.pi)\n", - "c.id = \"cosine\"\n", - "c.setAxis(0,xaxis)\n", - "\n", - "x.clear()\n", - "x.plot(s,tmpl,line)\n", - "x.plot(c,line,tmpl) # order does not matter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We are almost there but we need to blank a few attributes on template (name, min, max, etc.. and legend)\n", - "Also we need a different color for the cosine" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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LFfFQufdpznbz4kteEQnraLCsUdqbmbd2kpKiWBxEsttm21JNo1I+m3I9VsRYroiEVjjSupHO5hoiYR0NlhtKV3jbtEEk28G0ekqPFY9ukdAyQSTiwXJFDMq6K0mS8j2dSFhHg+WAnt2VMIigoM9I6KukCFefkUAwquoGkbCPBsu2yr2kMIjkh5X8ggXVNB49IsGJwjixXBGDble1lx78iYR1NFjWzBTFjiXfkv2kOIiU9Vh0VxGpmE3pseLDckUkile1dzv4EwnrZldtgNoo1bo0MVcIS/eT0kEk3c3a2yuRRKneC2EIR9kTS0suwiAO8WC5IhK5q9rT5zl1Ha2JhHWsYFnSXrvSlG7bbRBJ2i93lN2UNYtIlEaikCYyERGWK2KgXdXe+8QFkbCOBssDPQaRfFtGPY1Hv7MpmYhGv5FAKHrM5CkiYR0Nlg19XNie1/8gQj2NRP+RIBORGCAS8NOAdYNIdFBlqm40Kq7BatygewmDCAqIBDREImyD1w0i0aH3al9NWMFq1hB7yYCDCAsWMRgoEmQiBoNFAl4Zqm4QCftosBo03F4y+CBCPQ3eoJEgE8EbOBLwxLB1g0jYR4PVlKH3kqEGEepp2IaIBJkI2zCRgPNGqBtEwj4aLA8MN4hQTwM2XCTIRMCGjATCRSSso8FqxChjyAiDCPU0VENHgkyEavhIwFWj1Q0iYR8NVv1G3EsYRFBAJKAhEoEZuW4QCftosGo2+l4y2iDCgkWQRokEmQjSSJGAY0zUDSJhHw1WnYzsJSMPItTT8IwYCTIRnlEjAWcYqhtEwj4arNqY2ktMDCLU08CMHgkyERgDkYADzNUNImEfDVY9DO4lhgYR6mlIjESCTITETCRgldG6QSTsG77BWrly5djY2Jw5cy677DLtW7Nnz168ePGyZcuWLVu2efPm0pujf6YGEa2eNvBOTKiJqUjQYwXDWCTQrPqOw0TCuiEbrA0bNkxPT59++umLFy++5pprdu7cmX1r27ZtY2NjV1555RVXXPGTn/xk+fLlPX5OGPT3jzQ7htQziCilkiSpb99GrYxHouH3QIVxxiOBBuSPw6brBpGwb8gG66677hKRdevWnXXWWUmSbNy4MfvW448//sorr6xdu/aiiy664IILuv+MQKR7yAwRJUb3EqODSHvBQqXvfEmP5SmDkZAkUSKJSD7FpMI7JiOBRhSPw0brBpGwb8gGa8eOHSKydOnSRYsWicgzzzyTfWvBggUrV65ct27d/Pnzv/GNb9x3331df4r/sj0k+2+poWsxPYgokST7A43/tWiAwUjMZDgXA1LhHYORQAPytSOtG+lsbhCRsK6zP+jbe9/73ttvv/3555+/6qqrbrjhhltvvfV973tf+q0777zzwgsvvPvuu6+++uqbbrrps5/97CWXXKLdPD12r1+/Xv+5OWvXrq3cBgAAoJu0lxiu1RnRkCtYZ599tohs2rRp69atSqnVq1fffPPNy5cv37Fjx0033bRly5YtW7Y89NBD2ZYAAADxGHIFS0RWrFjx2GOP7d+//7zzzrv++usvvvji66677qGHHlq4cOGJJ57429/+Vil1+eWXX3311cXbts839/rV/WxjnX56ZWbJd/g7tmhqasrUYq/2h2V/tdk/uCYTExMismbNmqoNw1dfJLJMEAm/GIyE17yIRLZzaRe2m93piETKYi8xu2qDrqanp/P/uWHDhg0bNqSf//rXvy67RYDSS1WS9n/03nhoBneSpKxwmt2r0YC6IwHvGIwE6ta+xjG9wr31ReO7IZGwbshThMgknU8bVEoZ30/MPhkkf/1yOkSl+zk8Ul8k0icVGs8w6mY2EqhfIqLq666ESDhg+BUsiJQ8bdD4TiI1DCLZokX7oyhV3wIczKspEtnnQiZ8YzwSqE/7zGDHcbjqRgMjEtaxgmVG0la14TDqGETye3X+KjJ4oaZIzGSYTPimjkigbvV1V0IkHECDNQLjr7zbRU2DSE17NRpQUyTgLyLhC61u1HccJhLW0WANq6nuShoZRFiw8EsDkSATfmkiEhhZg3WDSNhHgzWUJveSpgYR6qlHmokEmfBIQ5HACJqtG0TCPhosDzQ2iFBPfdFYJMiEL5qLBDxBJKyjwRpcw2MIgwgKiAQ0RMJxjdcNImEfDdaAmt9Lmh1EWLDwQpORIBNeaDQSGJCNukEk7KPBGoSVvaTxQYR66r6GI0Em3Nd0JNA3S3WDSNhHg+WB5gcR6qnjmo8EmXCchUjAbUTCOhqsvtkaQxhEUEAkoCESbrJXN4iEfTRY/bG4l1gaRFiwcJmVSJAJl9mJBHqyWjeIhH28F2Ef7O4l9gaRhLekc5WtSJAJZ1mLBLqwXTeIRAdVmAzrew39DCtYHrA4iLBm4SaLkSATbrIZCTiJSOQlBVW3MIAGq4r1McT2IEI9dZDdSJAJB1mOBDo5UDeIhH00WD25sJcwiKCASEBDJNzhRt0gEvbRYHXnyF7iwCDCgoVrrEeCTLjGfiQgIg7VDSJhHw1WF+7sJW4MIvl6qpQqXjCIJrkQCXospzgRiVhlh0SX6gaRsI9nEbaUPMWgdDsbHBlE2k8gU+nlgdknaJ4jkUgzoe07pMIKVyIRn/wh0aW6QSTsYwVLpL2H5J9dkIi4M5i7NIjMHEGSJGEdyxZ3IpEGIr/3kAor3IlEVDrnzEREuTNfEAnraLAKnFrkFRFnBpHcoNb6CtXUFtcikT9RSCqscCQSUcl3V+264VD4iYR1NFidI4h73ZW4MYhk95JWT506oMTDhUjM4GIsB7gViQiUdVfpR1cOiUTCOhosD7g2iFBPrXMtEmTCOuciAduIhHU0WLmBw8nlK3FjEOk2lnGpuxUuRAJOIRINyw6JWt1w55BIJKyjwWpztbsSZwaRfI/VXrBw5VASG0ci0SHLBKmwwcVIhC47JDrYXQmRcAANlki6n+SeNqgcKxLuDCKd61hKJOGkkBWORCLNQxYJlX+WKZrlSCTiM/OMc6eqhhAJB/A6WCIiolR6/XZ7HHFoJxHHBpHc0EZ3ZY07kWg/sbS945AJS9yJRDy0Zw5SOKBhBavj5GCSJK7tJOLeIJLdS1zZbIuzkSATtrgWieBpzxykcKAo+gbL4UuvMi4PItRTK1yOBJmwwulIBMeHukEk7Iu+wfKB44MI9bR5jkeCTDTP9UigcUTCurgbLC/GEAYRFBAJaIhEYzypG0TCvogbLF/2Eh8GERYsGuZ+JMhEwzyIRBD8qRtEwr6IGyx/eDGIUE+b5EUkyEST/IgEGkQkrIu1wfJoDGEQQQGRgIZINMCrukEk7IuywfJrL/FnEGHBojG+RIJMNMabSHjLt7pBJOyLr8Hybi/xahChnjbDo0iQiWb4FAkPeVg3iIR98TVYHvJrEKGeNsCvSJCJBngWCdSPSFhnucFKW+xuH/vZZrCPSk1NTkqSVG/Jx9E+Tk5WbzPox5NOOqlym0g+pvrZ0pWPk5PV2wz1kVTwMf+xvjzUcUyr9WOqny2D/2iLnTen7Oedm/rZZjA+LvJ6q447e2JiQkTWrFlTtSGcVEMmiAQ0xiNRQ2zRKPO9RN8sr2ChH3Z78OFwUqhWPkaCTNTKy0igTkTCumgaLJ/HEE6lQ0MkoCESdfC5bhAJ++JosLzeS7wdRFiwqI+nkSAT9fE1Eg7zvG4QCfsiaLB830t8HkSopzXxNxJkoiYeR8JJ/tcNImFfBA2W/7weRKindfA6EmSiDn5HAjUgEtaF3mAFMIYwiKCASEBDJEan2k1/EHWDSNgXWoOlcgLZS/wfRPILFq2HBqPxPRJZJjp2WIzA+0jYppRKkiRLov91g0h0UAVVtzBgdtUGPkn3kI7/7LG1PwIYRJJElJp5gLRHCoMKIBKSJK09tJ0EUjGKECJhT5a9tMcSCSGHRCLPyrElnBUs/eisVCLSRI9av1AGkZnDVvsohiEFEIni/EMqRhFAJGzJ1470NSnDKB1EwrpwGqwO7UXeMA7ZAQwiubWr1lfCeGhsCSASIlztblIgkWhcobuSJAnk6EQkrAuxwQrmFHqb74NIbvk9/c/W18M4ilkRTCS0TBCJofkeCStKu6tUAFEkEtaF2GAFJ6RBRLvg3cp58QD4HomO6pXLBJEYmu+RsKJHFxVAFImEdcE1WJ1jSAA7ifg/iJQexcJ4aGzxPRIwjkgMJyl75mAYRyciYV04DdZMFfd/x9AEMIjke6z0WqwwnqdjS2CREJ5bOrIAImFPIqIC666ESDggnAZL2s/9UDlh7CdhDCJZQc0eF8+vcLAppEi0pB03mRhWGJGwRz86BYBIWBfQ62Clz68NZd/IC2YQSQtqkI9Rw0KKxMx/0F2NIJhINCx32iO0oxORsC6UFaxATw6mQhpEsuOX9oxCDCSkSMwgEyMIMxI1Kz5zsMfG3iES1oXSYAUt1EGEejq0UCNBJoYWbCQwLCJhXRANVtDLV8IgggIiAQ2RGFTodYNI2Od/gxX8XhL0IMKCxXACjgSZGE7IkahBBHWDSNjneYMVw14S+iBCPR1C2JEgE0MIPBJGxVE3iIR9njdYcQh+EKGeDir4SJCJQYUfCQyISFjnc4MVyRjCIIICIgENkehTNHWDSNjnbYMVz14SxyDCgsVAYogEmRhIFJEYWUx1g0jY522DFZNIBhHqaf8iiQSZ6F8skUDfiIR1fjZYUY0hDCIoIBLQEIlKkdUNImGfhw1WbHtJTIMICxZ9iicSZKJPEUViKPHVDSJhn4cNVnyiGkSop/2IKhJkoh9xRQJ9IBLW+dZgRTiGMIiggEhAQyR6iLJuEAn7vGqw4txL4htEWLCoFFskyESl6CLRt1jrBpGwz6sGK1YRDiLU094ijASZ6C3GSKAnImGdPw1WtGMIgwgKiAQ0RKJUxHWDSNjnSYMV814S6yDCgkUPcUaCTPQQaSR6irtuEAn7fGiwIt9LIh5EqKfdRBsJMtFNvJHoIvq6QSTsq6XBWrly5djY2Jw5cy677LKqbVEt5kGEeloq5kiQiVJRRwJliIR15husDRs2TE9Pn3766YsXL77mmmt27txZdQudUkq1j56KMYRBRESyJOQ+iRmRUESiE5GQQiTirhtEwj7zDdZdd90lIuvWrTvrrLOSJNm4cWPVLToopZIkSdp7RiLCsTPyQSRJRESJtCORJBTUyCORpiGrnkRCoo+EtGtH+78oHUTCPvMN1o4dO0Rk6dKlixYtEpFnnnmm6hYzOveQFo6ekQ8ixVQQiZgj0coDkegUcySEo0SZyCPhhMS0P/mTPxGR559//oILLhCRW2+9tbhN1R8FAABgRrEPaYD5Fayzzz5bRDZt2rR161al1OrVq6tuAQAAUBdVpupGoyo5JTe6FStWPPbYY/v37z/vvPOuv/764gaqdQWi/qvzy7z5bUpPHcZjamoq5sXe7NGfmJgQkbVr1yQJkYg3EvmHPo3EmrVrJUmIRLSRkHYqlJL16ydEZM2aNULhiDsSmW79RgNmV20wjOnp6apNyiVlR8nIdxKJ/lR6MRVEIuZIcJQoFXMkZOaKK44SMyKPhAvMnyIcUbqfZGt37CTCk0H061U7DqNxijwS+lGCQEQfiXSRInvmIIVDoo+EC5xrsKR9MVr2ee+NY8AgIrkktM8a99w6dESi5CgRdyaIhBSOEpEjEta52GBBwyACDZGAJuZI8HLUpWKOhCNosDzAIKJhwYJI6KLPRLSRoLvqJtpIuIMGywMMIkWR11MiUSLuTMQZCbqrHuKMhFNosDzAIFIq5npKJMpFnAkiAQ2RsI4GywMMItAQCWgijATLV71FGAnX0GB5gEGkm2gXLIhEV7FmIrZI0F1Vii0SDqLB8gCDSA9x1lMi0UuUmSAS0BAJ62iwPMAgAg2RgCaqSLB81Y+oIuEmGiwPMIj0FuGCBZGoEF8m4okE3VWf4omEs2iwPMAgUim2ekokqkWWCSIBDZGwjgbLAwwi0BAJaCKJBImKmC4AACAASURBVMtX/YskEi6jwfIAg0g/olqwIBJ9iSkTMUSC7mogMUTCcTRYHmAQ6VM89ZRI9CuaTBAJaIiEdTRYHmAQgYZIQBN8JFi+GlTwkXAfDZYHGET6F8mCBZEYQByZCDsSdFdDCDsSXqDB8gCDyEBiqKdEYjARZCLgSNBdDSfgSPiCBssDDCKDCr6eEomBhZ4JIgENkbCOBssDDCLQEAloQo0Ey1dDCzUSHqHB8gCDyBC0BQsV1tIFkRhG0ItYIUUi21vprkYRUiQ8NbtqA9jHIDKcJBGl0mO0SpJEKZWEcqgmEkNKElFK67bDSEUwkUj305D2VltCikT2uV+pYAXLAwwio2kdqdOjdtXGfiASQ1MiiUiSE0YqwohE1ldlj4tX9dQtIUXC072VBssDwQwiNiiRJNslvds/uyESw5lZFwkiBnkBRCK/apU2VyKhPUxNCiwSKb+O4TRYHghjEGlee/RJP2990a/9sxsiMZLOTBAJF5SeEwzjobHF90gEgAbLAwEMIs3rcQ1HAEdtIgFNSJHIX9sewN5qi++R6DiGty+nFa8iQYPlAQaRIeR3wuIzCrv1Xr4gEqMK7kSh75HIdljtmYMB7K22BBMJLRMeRYIGywO+DyK2lPZYHu2cPRAJA9qZIBKOyHZYuisjAoiESKHj9goNlgd8H0QsKvRY6XPIvEckhqOfXEiSQAIRTiRmLmynuxpRAJFIkkRbZPYrFbwOlgcCGUQsSdqvqaNUMMWUSAxP67ECCUQQkWgvVWTrWME8OHYEEAlRqtVx5y7A6nmDroqXbQ39o/rHCpYHAhhE7Mp6rGAuvCESo0hygrkYy/dIaBe2N1D8gud7JGY67vwOO6ykoOoWBtBgeSCEQcS2bHcKo54SCZOCyASRgIZIWEeD5QHvBxGYRiSg8ToSPl/H7C6vIxFGJmiwPMAgYlYACxZEwjD/M+FvJIKopC7yNxLBZIIGywN+DyJO8r2eEgnzPM+Ep5EIpZK6yNNIhJQJGiwPeDyIOMzrekokauFzJogENETCOhosD/g6iKA2RAIaHyMR0FKFi3yMRGCZsNxgpQno9rGfbWL4mOpny7A/nnTSSZXbDPQxSWRyckqp6i1d+7hq1arKbSL5aDgVk5PV2zj5MdXPlo58VEomJ6eSpHrLgT4azoPPH309StSwD9pi50VR+3kduX62icTU1BSLvSIyMTEhImvWrKnacDA+jkxEIlVTJHzMhHeRqOk+risSHvIuEjVlwmIvYXkFC/3wbCdB/YgENH5Fop5Kig5+RSLITNBgecDuImfwfLyymUjUy8NMeBSJECupizyKRKiZoMHygGeDiIe8q6dEona+ZcKXSARaSV3kSyQCzgQNlgd8GkS85Vc9JRJN8CoTRAIaImEdDZYHvBlE0BQiAY0XkQh3qcJFXkQi7EzQYHmAQaQZHi1YEImG+JMJ9yMRdCV1kfuRCD4TNFge8GMQCYIv9ZRINMeTTBAJaIiEdTRYHvBgEEGziAQ0jkci9KUKFzkeiRgyQYPlAQaRJnmxYEEkGuVDJlyORASV1EUuRyKSTNBgecD1QSQ4+XqqlFLuVVYi0bRcJohEP7J7KY5K6iJnIxFPJmZXbQD7nB5EApUkopQo1XovqewTRxAJC5JEKSW5SIiIO6lwKhKq415y5S6KjTuRyO8src8rbhEIVrA84NogEo2Z2pCkxdUZRKJ5SqkkVxiSJHEqFe5EonMaSUSUM11oXNyJhORGkXQncmW3qRkNlgfcGUTikRvBW19xqpoSCTscvhjLkUjku6v2iSCHdpyoOBiJmUzEkQoaLA84NYjEIDsiaPXUnYMCkWjYTJHozASRyOt2Jt2deykqLkQicjRYHnBkEIE7iIQj3Lk4z7VIRHMds7tci0SEmaDB8gCDSMPyA7f2jEJHqimRaFjHGoyTJwpdiER2L2mV1J0dJyouRGJGfN2V0GB5wblBJAJlPZZDRYJIWOZej+VIJLIdh+7KOtcike+uIkkFDZYH3BpEotF54YgSSdypp0SieWkeZuSfZeoAlyIx8yyxSOqom9yJRBqI/N4TSSp4HSwPODKIRCg3jjvUXQmRsESvCi5lwpFIaM8cjKSOusmRSEjESWAFywPuDCIRSpKk9BmFdhEJJ7iUCRcikT8RlO04sMWFSMR56VWGBssDrgwi0XOnnhIJVziTCeuRiLuSush6JMgEDZYHnBhEICLO1FMi4RA3MkEkoCES1tFgecD+IIIcF+opkXCLA5mwG4nolypcZDcSZEJosLzAIAINkYDGYiSopG6yGAkHM6EKqm5hAM8i9IDlQQQFSSJKiVLWDiBEwjm2M2ErEu5VUrTYioSbmbDylAtWsDxgcxBBF3ZPChEJF1nNhJVIOFlJ0WIlEmQijwbLA9YGEfRksZ4SCUfZywSRgIZIWEeD5QE7gwgcRiSgaT4SLFU4rvlIkAkNDZYHGEScZWvBgki4y1ImGo4EldR9DUeCTBTRYHnAwiCCvlmpp0TCaTYy0WQkqKReaDISZKIUDZYHmh5EMKDm6ymRcF3jmSAS0BAJ62iwPNDoIAIfEAloGosESxW+aCwSZKIbGiwPMIi4r+EFCyLhgWYz0UwkqKQeaSYSZKIHGiwPNDeIYARN1lMi4YcGM9FAJKikfmkgEmSiNxosDzQ0iGBkWj2t790YiIQ3muqxaopEfRlG3WqKBPo3fIO1cuXKsbGxOXPmXHbZZdq3Zs+evXjx4mXLli1btmzz5s2lN0f/mhhEYJpSKkmSmuoTkfBRrW+CVkck8hlmqcI7NUViJsNkosqQDdaGDRump6dPP/30xYsXX3PNNTt37sy+tW3btrGxsSuvvPKKK674yU9+snz58h4/B/1gEPFIe8FCpW99VVOPRSR8kiTSjkSqjjbLeCSKGaaS+qWmSMxkWMhEhSEbrLvuuktE1q1bd9ZZZyVJsnHjxuxbjz/++CuvvLJ27dqLLrroggsu6P4z0K86BhHUSYkkWQGto8ciEn5RImmTlf5nVqJ63mgwZiORdVfS+qsTEZN/LRpQXyREqaSeI1tgBmuwnn322aeffvq5557bsWOHiCxdunTRokUi8swzz2TbLFiwYOXKlevWrZs/f/43vvGN++67r+uPQ3+MDyKoT3vISz9vfdH4kYhIeKRVmWq+GMtgJDpKaZvxDKNudUcClQa718bGxg4cODA+Pn7aaafdfvvtzz///FVXXXXDDTfceuut73vf+9Jt7rzzzgsvvPDuu++++uqrb7rpps9+9rOXXHKJ9nPSHXX9+vX6L8hZu3Zt5TYAAADdpL3EQK2OKYOtYN1yyy3f/OY3b7nllrPPPltENm3atHXrVqXU6tWrb7755uXLl+/YseOmm27asmXLli1bHnroIRFJtwQAAIjHYCtYeStWrHjsscf2799/3nnnXX/99RdffPF111330EMPLVy48MQTT/ztb3+rlLr88suvvvrq4m3bl8f1+tX9bBOJqakpg4u9/pqYmBCRNWvWVG1oWeH6FRllRytFJFJeREI/vdJ+7pXZ0y5mI6FU67Kx3FU3Jv/a+ngRiWYYjETr0S88bdCLVFjsJWZXbdDV9PR0/j83bNiwYcOG9PNf//rXZbfAkEztJGhGkqudSTJTqwwiEh5JtF4qzYTpymQ6Ekl+KjD+16IBBiPRyrD4113ZNdgpQlhh9skgaEB2RXB2DDJ7fTCR8EvSfmmGls4nFRphMBLtdQo9w/CLwUikTxtUIvkUk4pKw69goTEGBxE0prCOJUoZe9UYIuGdkmpkNBN1REJfe4NXjEeCJAyKFSwPmBxE0KD6jkdEAhpTkdAus6kvw6ibqUgUL71Cn2iwPGB8EEHz0qOTqZNCRCIERjNhJBJU0pAYiQSZGAUNlgeMDSKwymA9JRKBMJeJ0SNBJQ3M6JEgEyOiwfKAmUEEDjBVT4lEOAxlYsRIUEnDM2IkyMToaLA8YGAQgTOM1FMiERQTmRglElTSII0SCTJhBA2WB0YdROCY0espkQjNyJkgEtAQCetosDww0iACJ41YT4lEgEbLxNCRYKkiVENHgkyYQoPlAQYRaIgENMNFgkoasOEiQSYMosHywPCDCBw2yoIFkQjTCJkYIhJU0rANEQkyYRYNlgeGHETgvKHrKZEI1rCZGDQSVNLgDRoJMmEcDZYHhhlE4Inh6imRCNlQmRgoElTSGAwUCTJRB96L0AMDDyLwSjL4OxUSicANngkiAQ2RyFNlE0vd7wTFCpYHBhtE4KFB1yyIRPgGzET/kWCpIhL9RyKGTCRlqm40KhosDzCIxEYpVTpvZYgEND0ikY9TBJUULf0eJchEbWiwPDDAIAJvZQsWSql0uurRYxGJKLQzoSndtlsk8nGikkalNBKFNJGJGnENlgf6HUTguSRJLxRI2v+ZpNWxuCWRiEWaAekogaWpKI1E55aJSHmcEKRiJPTkKCUiM0ccmMYKlgdYrohEdvjLFim6rWMRiUjMVMRcDEpTUYxEvpq21yl6LYsiMBVHCdau6keD5QGWK2KQlUOtnpYWRSIRlz4ueNciUdZdpR/psWLRIxJ0V82gwfIAyxWxqaynRCI6VZkgEtD0GQl67vrQYHmA5YoYaIc57Zp3bWMiEaOePZYWiSxO2lJFt6v6EJ5ukdAyQSTqQ4PlgT4HEfiurMcqvwKVSERCX11oXaJXUhGLkchuS3cVp/KjBCcHG0SD5QGWK+KRL6jFa94zRCIq+Ui0Ou4+LstLmysRPU6IRDESaRqy6CilSEWtaLA8wHJFVJLWSxaVX/OeIhLxSJIkH4kkSUozoUUiW6fQ4oR46EeJ1nJmIU6oDa+D5QGWK2KjHfWSwhvTEYnY6IWwkIl8JLSzQBTROHUcJTozQSSawQqWB1iugLZmQSSgZSKLBNfYIDVzlCATltBgeYDlCkhnPSUSEOnIRBoJKikyraMEmbCHBssDLFcgldVTIoGWdiampqaopMibmpqiu7KLBssDLFdAQySgOfnkVUIlRc6qk08WIRM20WB5gOUKZNKjJZHAjCRRkkxOTlFJMUOpqclJuiu7eBahB1iuQF6SiFIsV6CldVkeyxXI5C7Lg0WsYHmA5QpoJienpOwFSBGb7BqbqcnJmf9GzNqZoHBYR4PlAQYRaFatWqW9cAMilL+CedWqVfqLeSBCuUxQOKyjwfIAgwg0aSSopzHTnh/WOkqQiZh1ZoLCYR0NlgcYRKDJIlGsp+mbYJTdCH7LP6zFZ9/PHCXoseJUyASFwzoaLA8wiECTj0S+nmbvL0aPFZj0kU0f1tLXNuo4SrQzoRGEQn9kyzJB4bDOcoOVJqDbx362ieFjqp8tw/540kknVW4TycdVq1blv5Je8z41NZW0r2ydnJxUSlX+nAA+RpKK9JHNPb76NqmZryTJ1ORkIjI5OZkkSfpxamoq+FTEk4eZR1YkfUUGbRvtKBHzR1vsvMV6Okv1/tX9bBOJqakpFntFZGJiQkTWrFlTtWH4ipFQSokk0jnEKmVnB29MDJHIP4jtRaiSh7U0Eq2NchsTCd/pj2C6qFlWKykcKYu9hOUVLPSDnQSaklKaJMVrbzhX6Ltid5Uk5Q9raSS4Hitw7Uz0Ewk0jwbLA3YXOeGgbpFISyr1NAyl3VU3XY8SWSbaczw9dyCqMkHhsI4GywMMItBokShWzbSeBn8+KGzdrmovfVgrIyHSujSaSISgqrsSCocDaLA8wCACTTES+YKarXqkV2XBZ0n7CpLWf3frkCqOEtnpQgSg0F2VpoLCYR0NlgcYRKApjUTnokXrgMvpIH9lDbNI++L27utPxUhoi1gqex4EmfCXUmka8g9ht1RQOKyjwfIAgwg03a/BSlTuNBCXOPsrd0m7/rCWKo1EdkPVfoE0MuGx3CXt2iNbujmFw7rZVRvAPgYRaHpEQjva5q5v5hyRN4qPV+WFU90iUXJDMuGjwuM1dCTipApDReUdODpWsDzAIALNQJHIXb7Tczu4YbjOZ6BIkAnPDJWJwSIRuqSg6hYG0GB5gEEEmkEjwakhL4yyrjRoJMiEH0bIxMCRgGk0WB5gEIFmuEhQT12WPS6DV1KRYSNBJpw2WiaGjATMocHyAIMINENHgnrqpvwl7cMZOhJkwlEjZ2L4SMAQGiwPMIhAM0oksnpKSXXEsKeAOowSCTLhHBOZGCkSMIEGywMMItCMGIlulzgXn2gDs4r3sIlKKjJyJLjs3SGGMjFqJDAyGiwPMIhAM3okipc4py+oQ49VH+0eHuHy5RKjR6KYCZXT64YYln4PG82EgUhgNLwOlgcYRKAxFYlk5hWRstcmTXq8dCGGplTHPSztdzEydU+bikSaibTe52NAKswqv4fTzwzdz8YigWGxguUBBhFoDEYiSUQ637WQdSzjCt1JIqJGuHy5hMFIpH+W9qeRCuM6ItF+DxyDmTAZCQyFBssDDCLQGIxEVvvzlzhTTQ3Suqv2KSDD93AdkejIBMzRG25zpwXzDEYCw6HB8gCDCDSmIpE7b5V9pfWJ8Q4gTvlSql1gY/YeNhWJGcVMwDijF11pzEcCA+IaLA8wiEBjKhL5K64KaxZcc2OAdsWVdPQtJu9hU5HowDpWffJ3qbkY5NUSCQyCFSwPMIhAYzAS2jpKttpSuAgHQ5u5uqam7krqjERN5T9mrUBIZyZMMxgJDIcGywMMItCYjUThXFXJVVkYQu78z0xJlRq6KzEdCV2StDpuMjGizksdO79jOBX1RgJ9oMHyAIMINMYjkfVYpVdlUVKHoJXR4j1sltlIpH9tXtK5/kYmhpG/wrH0HjbKbCQwBK7B8gCDCDR1RCJ/PVb7KyLtoqBUfacyQtNlhaLkHjbIeCTK/04yMZyyTNSUhIzxSGBQrGB5gEEEmpoiUXrET3Kv782yRW/dz/9kX6yrptYUiXJkon+VmahNo5FAGRosDzCIQNN8JCrPDqnoC22+jDZbSUVsRKI6E7CaCQuRQCcaLA8wiEBjJRLaRTh5Kqb3MUyvmOn8SusOsVFGW6xEolsm8pcWld8wIOX/WAcyYScSyOEaLA8wiEBjMRLaqaEkETVzXXyN1xg5IvsHtnvKmW/Z/XdbjISWCdV5JjTsSGj/OpW9n2DK6j/cZiQgIqxgeYFBBBrrkcgtW2jXxYe8jpX/x+b/pfYWKWZYj0R6FyiJ6E0Mi71jIk28wFWf7EciejRYHmAQgcaFSGT1VLsCJ9SCmq+m7X9yIqJsl9EWFyLR7aqsUCPRIf9PdiMTTkQibjRYHmAQgcaFSKQNh1ZS2+cNQyuouTODHWXUnX+pC5FoKc1EcGYa7s5MEAlkuAbLAwwi0LgQieyKq6zKpNLrcMK77Kb0cit3LjByIRIzyjIRmES74mpmdZNIoIUVLA8wiEDjSCSK1yFp5w19L6y5f0Xr6pokcbG7Emci0aGdidaFWcFlosWBy61KuRiJyNBgeYBBBBp3IqGdENHOG0ofVVUp1fwplcpfWlZDZ65gFse6K3EmEl1PkA2SicpHpw7Vv7SQiSRJtBs4lQpHIhEzGiwPMIhA41Qkspqary65Ba2W0pLabsgavWylxy/VSr/2ryj9lzrCnUgk3d5lr49MZNtnP0Qa0euX9syE9o91KhXuRCJaXIPlAQYRaFyLRNL9FbByJ9RmPqZfz9+kx08wq/SXFut4tz+ksb9zUE5FouL+6ZIJ1XnD9PMG7m0tEq2vFLfr8mfU/ecNzalIxKmuFazTTjttwYIFVVuhLwwi0DgYicoyU1i8UCLaC3UOto410Mapsmrd8UuLiyxFlf9SKxyMRLXifd3z1GGl7KHsPxslkVAqERksE07yMhJhqaXBGh8fv/fee908DPmIQQQafyPRLlVK2i9ImZ2BUUq0dqeHfF3s/yaSu/o+V8oTEeVnDZ3hbyTSTMwEQvRM9EM7QzdYs16WCZGy/s8rHkciFLU0WLt3716yZEnVVugXgwg0AUSix7qAVu+KdVZbdShW08qfkLut1zV0RgCR6JqJ0oez8IhqI72eiv5+SHrLMDIRQiQ8Z6zBevbZZ59++unnnnuuakMMjEEEGt8jkS9+WVXVVrY0uZo4sxCVfStd+urdS+VXqvKlvIGrfBoQUiT0R6ibLBDpJVNaJtLPqzIh0vnr/E9CxvdIBMDYkWVsbOzAgQPj4+O7du0SkUMPPXTXrl0vv/xy6cbpjrR+/frS76bWrl1buQ0AAEA3aS9RZKr56cHYswhvueWWPXv2LFy4MP3PAwcONPDXAwAA9GalITG2gpU3d+7cffv2icjs2bOfeuqpN7zhDdoG6QpW71/dzzaRmJqaYrFXRCYmJkRkzZo1VRuGL6RIDLGnZyf1skgMeppviF/qOCKhRSL/xT4Nur3jQorEKIaIkynGVrDyXnnllapNMAB2EmhCisQQB76k88WohqiLg27vvsgjIYUYkIqQIuEpYxe5oz48GQQaItF5mXxQdXE4kUciSZJ8JIborsITeSRcQIPlAQYRaIiE0Fd1IhKSiwTZECLhABosDzCIQEMkoCES0BAJ62iwPMAgAg2RgIZIQEMkrKPB8gCDCDREAhoiAQ2RsI4GywMMItAQCWiIBDREwjoaLA8wiEBDJKAhEtAQCetosDzAIAINkYCGSEBDJKyjwfIAgwg0RAIaIgENkbCOBssDDCLQEAloiAQ0RMI6GiwPMIhAQySgIRLQEAnraLA8wCACDZGAhkhAQySss/aGTdmbRgEAANTHSqszu2oDAAAAL1lprVLWVrAAAABCxTVYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRZ8cuyxx1577bW/+7u/O2/evIMOOuhP//RPq24BIDQ7duxYsGDB+Pj4QQcdtHr16h5bcsSI0A9+8ANHHnEXG6yVK1eOjY3NmTPnsssuq9oWcXnqqafe8Y53XHfddXv37v3FL35x++2333bbbVU3QoDuueee9Cgxf/78WbNmzZ0799lnn626EQJxyCGH/OxnP9u9e/f27dt/9KMfffnLX+62JUeMCM2bN8+RR9y5BmvDhg3T09Onn3764sWLr7nmmp07d1bdAgEqLZ933HHH4sWLTzjhhHPOOUdEDjvssMWLFz/66KNVPwwBOu2005YuXfq3f/u3u3btWrhw4Te/+c03vOENVTdCIGbNmrV06VIR2bVr14EDB2bNmsURA5njjz9ee8StzWOJY/7oj/5IRDZt2vSRj3xERL7zne9U3QJhOuywwz7/+c8nSbJo0aJ/+qd/SpLk7LPPPu+887IN7r///rGxsa1bt3b9EQjanDlzfv7znydJMmvWrBdffLFqcwRl79694+PjIrJy5cr0KxwxoMk/4sV4NMC5FawdO3aIyNKlSxctWiQizzzzTNUtEKZt27a95z3vEZGdO3eeccYZIvLAAw9cfPHF6Xd/9atfnXnmmWvXrmXdIk7bt28/cODAG9/4xh/84Adz5sxZsGBB1S0QlLlz5+7ateupp576t3/7t1tvvVU4YqCT9ogX49EA5xqsxYsXi8isWbP27t0rIuwMcSqWz23btu3Zs+f3f//3RWTXrl1vfvOb3/3ud3/mM5+p+kkI05133pnOYPfee++SJUuqNkeYli1bdvzxx3/lK1/hiIE87RG3NY8512CdffbZIrJp06atW7cqpXo/QwShKpbPz3/+88cdd5yIHDhw4Ljjjjv88MP/+Z//ueKnIFz333//kUceKSKHHHLIr371qzvvvLPqFgjH5s2bn376aRHZvn37v/7rv77tbW/jiIFM8RG3NY8512D95V/+5YknnviBD3zg7rvvvuCCC9I7BbEpls9bbrnlgx/8oIjccMMNP//5zzdv3jx//vz58+d/6lOfqvhZCNGNN9744IMPishFF120b9++dPEfkXjkkUeOOeaY8fHx17/+9SeccMKnPvUpjhjIFB9xW/OYSpKkahvAvvnz52/btm3+/PlVGwIARwzYR4MFAABgmHOnCAEAAHxHgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAF8dffTRSqn07VAAwCmzqzYAAGu2bdv24osvvvGNb0z/86WXXpqcnDzyyCP37Nnzve9974knnhgbG+v9EwDAClawAFj2pS996ZBDDlmwYMHcuXMnJiZE5M1vfrNSauHChYceeuhRRx117rnnisgdd9yxaNGiv/7rvz7mmGPOOOOMSy+99L777st+yM6dO48++uixsbE5c+Z89KMf7frLAKARNFgALPvHf/zHl19++aWXXlJKfe5znxORn/70p7NmzRKRTZs2zZ49+5577hGRv/mbv1FKTU9PH3fccb/5zW8effTRU089Nfsh55xzzpNPPvnkk09+4AMf+OpXv7pp06Zuvw4AGkCDBcCyz3zmM8uXL1+4cOErr7yyd+/e7OtHHXXU8ccfP3/+/AMHDojIokWL9u/f/61vfesXv/jFokWLli9fnv8hmzdvVkr98R//8YMPPnjEEUc8/fTT+q8BgAbRYAGw7P3vf/+TTz758MMPz5s3T0RWrVqV/26SJOlbpp5xxhlLly5du3bt8uXLN27cmN9ARJYvX54kyd///d//y7/8y+7du3/v935PAMAe3uwZgGWnnHLKAw88sGjRoldeeWX37t1vetOb5s2b9+Mf/1gp9e53v/t73/ueiHzwgx+89957d+zYMXfu3FdffXVsbOzP//zPv//97z/22GNKqcsvv/zyyy9/+9vf/vTTTyulzjzzzNtuu63q1wJAjWiwANh33333LV++fNGiRffff/873/nOuXPnFrc55ZRTtm7devLJJ+/fv//2228fHx//93//9+JmAOACXqYBgH3Z5eqnnXZat22WLFnyyCOP/OhHPzpw4MAhhxxy1VVXddsSAKxjBQsAAMAwLnIHAAAwjAYLAADAMBosAAAAw2iwcGY2DgAACn1JREFUAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAQDiefPLJXbt29f5KA8auuuqqqm0AAAA8sHfv3sMPP3zPnj2nn356t680gwYLAAB4bO/evdu2bVuwYIGIzJ49e+HChWedddasWbOyr4yPj5922mlHHHFEdpNdu3a99NJL4+PjXX/oyDhFCAAAvLFv376/+qu/WrZs2dve9rYbb7zxO9/5zmte85ply5bNmTPn2GOP/Yu/+ItPfOITq1ev/vCHP7xo0SKl1Ote97pLL730ne9854033njBBRekX1mwYMFrXvOaj3zkIyKyd+/e884777DDDjvyyCP/7u/+rur394sGCwAAeOPaa6/90pe+9N3vfvdd73rX1VdfffXVV+/atWv9+vWXX375Y489duqppx500EHz5s37xCc+sWHDhoMPPvjoo49evHjxIYcccuedd95www0HH3zwtm3bHn300SVLltx0002//OUvr7322m9961uPPvroJz/5yfPPP/+Xv/xl1Z/Ql9lVGwAAALjixz/+8cKFC5cvX37ppZeee+65l1xyiVLqYx/72Pj4+NjY2KZNm8bHx3ft2vXe9753fHx87ty5J5xwwhNPPDFv3rxXX31VRF599dWxsbGJiYlZs2Yddthh27dvf+SRR2bNmvXJT35y3759f/Znf7Z9+/bXv/71VX9FNVawAACAN4455pgXXnjhiSeeGBsbO/PMM1988cVZs2bddtttRx999KuvvvrWt751z549Z5xxxj333HPsscemTx5M2kRk9uzZ+/fvv/LKK4866qh9+/a99rWvfctb3rJnz54rr7zyuuuu27lz52tf+9qqP6EvrGABAABvfPzjH3/ooYf+4A/+YMmSJV/4whe+9rWvPf744x/96Ed37Nhxyimn/PCHP9y9e/cdd9yxffv2zZs379u374Ybbti7d6+IbNu27Q//8A9feumluXPnHnfccS+88MLY2Ni3v/3tiy+++JFHHnnHO94xb968888/31SDpdKGDgAAwEdJkvzsZz9buHDhoYce2u0rzaPBAgAAMIxrsAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAybXbVBXZSq2gIAAGAESVK1RW1YwQIAADDM2gqWxaYSAACgVqxgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhs2u2gAAAKAWbz/n0z2+++DXr8hvmf9P99FgAQCApuVbq2+s+y9HH/Ha4ga92y/H0WABAIDmPLnl1//5k19OP++xKJV+y98eiwYLAAA0JN8w5burW5976f2HLRCRFRu3iFIiyfSpR6Tb5G/ylf/9wBe+tVG6+8MT3/TZNX/WYwNNtzOPAzV2pT9BJUlS/CoAAIBZKz+87tVXD6Sf55uSFRu3rP1Pv3vc3Ac2PXfLuW/94v4DyexZKn/DtN3RLslKP1m88ODvfuETrZ/zoXUHkgPZNpXXbBV/rPYtEbnpv//fhy05REQ+9j+/ufnnz4vI3Tf+P+m3Jn/88//3+u90+wk8ixAAADQh664yT+14UESmVx/xn9/wOw89f0v6Ra27kp6tUtZdicj0P3zywa9fMf21/5b+Z5+rUP/1v3+99OsPfv2KB79+xTFvfN2i35m/6Hfmj6nWX5X+56Lfmf+eU97S4w+jwQIAALUrnhx85dWXH3jmSyLyw9/uEZEPvPlzrz346K89fH76v24/p9KsWSrre3r0WNm3pn/6VLdt+tGtx6LBAgAA9brz/zxS/OLcsYM/dNyNKzZuuejh34jI3FnjZ/zHS4ubpR78+hUPPPSzbt8t6qfH6rH+pK+hdftadzRYAACgXum1Sqlb1l9Q+H6yYuMz6WfnvvWLIqLKmpl3HP8fS746lFcPdFyAXmzCflh1/VYlGiwAANCcI173mvSTFRu3/GjH3unVR0yvPiLtsVZs3CIi5771ix867osr7ntmxcYtK+57pucP66XHItbKc/9H+t1z/miFfjNDaLAAAIAdFz7869ZnSomSjtNwSSJKSc2vdbD2w+9OP+njivjB/hIaLAAAUKMTu/UuSk2fenhr4SpJJEmmVx8uIv/wk/N373thevURkiTffPth5bcdQR+9lAE0WAAAoEbdVn6mTz385mdfFElEVPtEofzDT84XUbdsvkxEplcfcdTBc7rceiT5y9uzz7c8v73L5ikucgcAAD74X0/+VvtKkohIUt+roPdYvvrTtTd0+9YQeKscAABgQfquONOnHi4i+w7sufmRj6dff9+bPr1g7pLWBiLpypZB6ZLV9x98/JL1337PKW/5m/96tvaGPF0M1vOxggUAAGr01//lPV2+o7Km5R9/+vH0pRnOfesXc93VYGflKm1/4eXs80vWf1tE7vw/j/zi2W3ZF3u2WYP9MTRYAACgRu9/1/GlXz96wdysxfrQcV/Uzgr+YOSFq6xbyq6yOuPCzxVfXPSNb1gifRlsBYtThAAAoDnv+sv1935prYj8wwlLpb1SNb368PQlRr/y9As3PvVC+pX0SYU10Tqt7Czh28/5dJdXeGcFCwAAuGT+QXOzz3e+vCf9ZOvOH4vor9p+41M7RWTQ5aKi4vLV28/59IL5B3W/hWE0WAAAoF73ffWS4hf/wyH/19cePn/61NZKVfqCWOnnVy0vOW3Xx3XoLcXuKvX9L68t27zl9g0fSz95btsLxe/+9Ge/LH6xBxosAABQu3yvkzVA6WnBttaq1fTqI96zdL506nbm7n9+9bvZ55/5/7779nM+nf7wB79+Relv7OHm7z6YfvLej1/Xe8t+qPpeagIAACCjdTlZA7TivmckkeyKq689fL5S6kPH3ajd8MGvX/GV//3AF761Ubr7zucuev2hC/NfOePCz+WfPCiFZa1UaQeWbtmtOetyqVYLDRYAAGhItx4r72sPn3/qsguOWPi2/E16dzMOosECAADN+eVvXjj7Ex3n4Lo1Tyd9eN3+Vw98+uL3n7Hq2NINXEaDBQAAmtbPRVHi4cJVhgYLAABY867zJ3a+tFv7or99VYYGCwAAwDBepgEAAMCw/x8bR5AKTBf1aAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tmpl.blank([\"dataname\",\"min\",\"mean\",\"max\"])\n", - "line_cos = vcs.create1d(source=line)\n", - "line_cos.linecolor = \"blue\"\n", - "line_cos.marker = \"diamond\"\n", - "line_cos.markersize = 1.5\n", - "line_cos.markercolor = \"black\"\n", - "x.clear()\n", - "x.plot(s,tmpl,line)\n", - "x.plot(c,tmpl,line_cos)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Ok now we still have to tweak the legend, templates have a built in function for this" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# First let's blank the legend default\n", - "x.clear()\n", - "tmpl.legend.priority=1 # Make sure it is on\n", - "tmpl.drawLinesAndMarkersLegend(x, [line.linecolor, line_cos.linecolor], \n", - " [line.linetype, line_cos.linetype],\n", - " [line.linewidth,line_cos.linewidth],\n", - " [line.markercolor, line_cos.markercolor],\n", - " [line.marker, line_cos.marker],\n", - " [line.markersize, line_cos.markersize],\n", - " [s.id, c.id])\n", - "tmpl.legend.priority=0\n", - "x.plot(s,tmpl,line)\n", - "x.plot(c,tmpl,line_cos)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And finally let's use to template to beautify a bit more" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x2 = .7\n", - "tmpl.data.x2 = x2\n", - "# We also need to move the other things linked to it\n", - "tmpl.box1.x2= x2\n", - "tmpl.ymintic1.x2 = x2\n", - "tmpl.ymintic2.x2 = x2\n", - "tmpl.ytic1.x2 = x2\n", - "tmpl.ytic2.x1 = x2\n", - "tmpl.ytic2.x2 = x2+.01\n", - "\n", - "# Let's move the legend\n", - "tmpl.legend.x1 = x2+.05\n", - "tmpl.legend.x2 = .9\n", - "tmpl.legend.y1 = .45\n", - "tmpl.legend.y2 = .55\n", - "\n", - "x.clear()\n", - "tmpl.legend.priority=1 # Make sure it is on\n", - "# Let's stack it vertically now\n", - "tmpl.drawLinesAndMarkersLegend(x, [line.linecolor, line_cos.linecolor], \n", - " [line.linetype, line_cos.linetype],\n", - " [line.linewidth,line_cos.linewidth],\n", - " [line.markercolor, line_cos.markercolor],\n", - " [line.marker, line_cos.marker],\n", - " [line.markersize, line_cos.markersize],\n", - " [s.id, c.id],\n", - " stacking=\"vertical\")\n", - "tmpl.legend.priority=0\n", - "x.plot(s,tmpl,line)\n", - "x.plot(c,tmpl,line_cos)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Other types of 1D plots\n", - "([Top](#top))\n", - "\n", - "### Flipping axes (aka x(y) vs y or xyvsy)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "line_flip = vcs.create1d(source=line)\n", - "line_flip.flip = True\n", - "# Note that f = vcs.createxyvsy() creates a 1d plot with flip = True\n", - "def flip(gm, attr):\n", - " tmp = getattr(gm, \"x\"+attr)\n", - " setattr(gm, \"x\"+attr, getattr(gm,\"y\"+attr))\n", - " setattr(gm, \"y\"+attr, tmp)\n", - " \n", - "for att in [\"mtics\",\"ticlabels\"]:\n", - " for number in [\"1\", \"2\"]:\n", - " flip(line_flip, att + number)\n", - "\n", - "line_flip.datawc_x1 = -1.1\n", - "line_flip.datawc_x2 = 1.1\n", - "line_flip.datawc_y1 = -.1\n", - "line_flip.datawc_y2 = numpy.pi*2.1\n", - "x.clear()\n", - "x.plot(s,line_flip, tmpl)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Scatter plots aka y vs x\n", - "\n", - "Let's plot cosine vs sine" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scatter = vcs.create1d(source=line)\n", - "scatter.datawc_x1 = -2.2\n", - "scatter.datawc_x2 = 2.2\n", - "scatter.xmtics1 = scatter.ymtics1\n", - "scatter.xmtics2 = scatter.ymtics2\n", - "scatter.xticlabels1 = scatter.yticlabels1\n", - "scatter.xticlabels2 = scatter.yticlabels2\n", - "x.clear()\n", - "# x values passed first\n", - "x.plot(2*s,c,scatter)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's turn off the lines" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scatter.linecolor= [0,0,0,0] # no opacity = transparent\n", - "x.clear()\n", - "# x values passed first\n", - "x.plot(2*s,c,scatter)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Or turn off the markers" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scatter.linecolor = \"red\"\n", - "scatter.markercolor = [0,0,0,0]\n", - "x.clear()\n", - "# x values passed first\n", - "x.plot(2*s,c,scatter)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "celltoolbar": "Raw Cell Format", - "kernelspec": { - "display_name": "Python [conda env:nightly2]", - "language": "python", - "name": "conda-env-nightly2-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.14" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/docs/Jupyter/Animations.ipynb b/docs/Jupyter/Animations.ipynb deleted file mode 100644 index 07f31b46d..000000000 --- a/docs/Jupyter/Animations.ipynb +++ /dev/null @@ -1,745 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Animations In VCS\n", - "\n", - "This Notebook demonstrates how to create animations in VCS\n", - "\n", - "Animations are rendered via FFMPEG\n", - "\n", - "- [Download the Jupyter notebook](Animations.ipynb)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Content\n", - "\n", - "- [Preparing The Notebook](#prepare)\n", - "- [Example 1: Simple 2D Animation](#example1)\n", - " - [preparing 1d data](#2d_data)\n", - " - [creating the frames/pngs](#2d_creating)\n", - " - [create the animation](#2d_anim)\n", - "- [Example 2: 1D line moving behind a \"target\" 1D data](#example2)\n", - " - [preparing 1d data](#1d_data)\n", - " - [preparing vcs objects](#1d_vcs_objects)\n", - " - [creating the frames/pngs](#1d_creating)\n", - " - [create the animation](#1d_anim)\n", - " - [slowing down the animation](#1d_slow)\n", - " - [speeding up the animation](#1d_fast)\n", - "- [Example 3: Rotating Earth](#example3)\n", - " - [preparing data](#rot_data)\n", - " - [preparing vcs objects](#rot_vcs_objects)\n", - " - [creating the frames/pngs](#rot_creating)\n", - " - [create the animation](#rot_anim)\n", - " - [controlling the animation order](#rot_order)\n", - " - [bringing it all together, animating the data as well](#rot_all)\n", - " \n", - "[Back to top](#top)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Preparing The Notebook\n", - "[Back to top](#top)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "VCS 2.12 does not produce animation directly visible in the notebook\n", - "The class bellow helps with this\n", - "Nightly versions of vcs do produce animations objects that are adequate for notebooks" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "class FFMPEG(object):\n", - " def __init__(self,source,width=320,height=240,controls=True):\n", - " self.source = source\n", - " self.width = width\n", - " self.height = height\n", - " self.controls=controls\n", - " def _repr_html_(self):\n", - " html = \"