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fixing whole bunch of errors
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-95
lines changed

5 files changed

+426
-95
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‎devtests.ipynb

Lines changed: 305 additions & 21 deletions
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@@ -287,7 +287,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
@@ -378,7 +378,7 @@
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"True"
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]
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},
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"execution_count": 1,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -405,31 +405,66 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"ename": "SystemExit",
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"evalue": "The plotted signal 'record.p_signals' must be a 2d numpy array",
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"output_type": "error",
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"traceback": [
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"An exception has occurred, use %tb to see the full traceback.\n",
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"\u001b[0;31mSystemExit\u001b[0m\u001b[0;31m:\u001b[0m The plotted signal 'record.p_signals' must be a 2d numpy array\n"
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]
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},
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"data": {
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"text/plain": [
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"array([[-6.],\n",
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" [ 0.],\n",
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" [-7.],\n",
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" ..., \n",
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" [ 7.],\n",
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" [-7.],\n",
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" [ 6.]])"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"targetsig = targetsig.reshape((-1, 1))\n",
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"\n",
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"targetsig.shape \n",
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"\n",
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"t = np.concatenate([targetsig, np.array([0]).reshape((1,1))])\n",
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"\n",
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"targetsig"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/chen/Software/pythonenvs/python3.5/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2889: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.\n",
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" warn(\"To exit: use 'exit', 'quit', or Ctrl-D.\", stacklevel=1)\n"
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]
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"data": {
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"text/plain": [
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"array([[2],\n",
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" [0],\n",
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" [0],\n",
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" ..., \n",
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" [0],\n",
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" [2],\n",
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" [0]], dtype=uint8)"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"wfdb.plotrec(record)"
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"s = t.astype('uint8')\n",
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"s\n",
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"s & 2"
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]
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},
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{
@@ -480,6 +515,146 @@
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"x = np.array([[1,2], [3,4]], dtype = 'uint')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"3840"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"sum(2**np.array([8,9,10,11]))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"1 >> 2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"sampsperframe end of rdheader: [None, None]\n",
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"1\n",
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"[None, None]\n",
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"2\n",
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"[None, None]\n",
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"3\n",
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"[None, None]\n"
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]
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}
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],
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"source": [
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"import wfdb\n",
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"record = wfdb.rdsamp('sampledata/100', physical=False)\n",
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"record.recordname = '100copy'\n",
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"#record.wrsamp()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'adcgain': [200.0, 200.0],\n",
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" 'adcres': [11, 11],\n",
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" 'adczero': [1024, 1024],\n",
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" 'basecounter': None,\n",
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" 'basedate': None,\n",
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" 'baseline': [1024, 1024],\n",
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" 'basetime': None,\n",
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" 'blocksize': [0, 0],\n",
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" 'byteoffset': [None, None],\n",
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" 'checksum': [-22131, 20052],\n",
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" 'comments': [' unnecessary comment',\n",
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" ' 69 M 1085 1629 x1',\n",
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" ' Aldomet, Inderal'],\n",
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" 'counterfreq': None,\n",
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" 'd_signals': array([[ 995., 1011.],\n",
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" [ 995., 1011.],\n",
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" [ 995., 1011.],\n",
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" ..., \n",
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" [ 889., 951.],\n",
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" [ 871., 957.],\n",
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" [ 768., 1024.]]),\n",
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" 'filename': ['100.dat', '100.dat'],\n",
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" 'fmt': ['212', '212'],\n",
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" 'fs': 360.0,\n",
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" 'initvalue': [995, 1011],\n",
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" 'nsig': 2,\n",
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" 'p_signals': None,\n",
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" 'recordname': '100copy',\n",
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" 'sampsperframe': [None, None],\n",
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" 'siglen': 650000,\n",
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" 'signame': ['MLII', 'V5'],\n",
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" 'skew': [None, None],\n",
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" 'units': ['mV', 'mV']}"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"record.__dict__"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"def return100(fmt):\n",
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" \n",
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" fmt = 2\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
@@ -490,8 +665,7 @@
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{
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"data": {
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"text/plain": [
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"array([[1, 2],\n",
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" [3, 4]], dtype=uint64)"
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"3"
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]
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},
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"execution_count": 4,
@@ -500,7 +674,117 @@
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}
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],
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"source": [
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"x"
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"a = 3\n",
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"return100(a)\n",
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"a"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"class truck():\n",
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" def __init__(self):\n",
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" self.wheel = 1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"x = truck()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"x.wheel"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def pop(item):\n",
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" item.wheel = 0\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0"
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]
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},
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pop(x)\n",
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"x.wheel"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[1, 2, 3]"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"a = [1,2,3]\n",
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"b = a\n",
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"b = b.copy()\n",
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"b[0] = 10\n",
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"a"
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]
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},
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{

‎tests/test_records.py

Lines changed: 4 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -144,3 +144,7 @@ def test_14(self):
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targetsig = np.genfromtxt('tests/targetoutputdata/target14')
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targetsig = targetsig.reshape([977, 1])
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assert np.array_equal(sig, targetsig)
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def test_write1():
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