Untitled.ipynb

Untitled.ipynb

{
  "cells": [
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "from skbeam.core.accumulators.histogram import Histogram",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "cat skbeam/core/accumulators/histogram.pyx | head",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": "\"\"\"\r\nHistogram\r\n\r\nGeneral purpose histogram classes.\r\n\"\"\"\r\ncimport cython\r\nimport numpy as np\r\ncimport numpy as np\r\nfrom ..utils import bin_edges_to_centers\r\n\r\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "binlowhigh = (5, 0, 3)\nh = Histogram(binlowhigh)",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "h._binsizes",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": "array([ 0.])"
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# After restarting the kernel and adding `from __future__ import division` in histogram.py"
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "from skbeam.core.accumulators.histogram import Histogram",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "cat skbeam/core/accumulators/histogram.pyx | head",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": "\"\"\"\r\nHistogram\r\n\r\nGeneral purpose histogram classes.\r\n\"\"\"\r\nfrom __future__ import division\r\ncimport cython\r\nimport numpy as np\r\ncimport numpy as np\r\nfrom ..utils import bin_edges_to_centers\r\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "binlowhigh = (5, 0, 3)\nh = Histogram(binlowhigh)",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "h._binsizes",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": "array([ 0.6])"
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# After commenting out `from __future__ import division` in histogram.pyx and adding # cython: language_level=3"
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "from skbeam.core.accumulators.histogram import Histogram",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "cat skbeam/core/accumulators/histogram.pyx | head",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": "\"\"\"\r\nHistogram\r\n\r\nGeneral purpose histogram classes.\r\n\"\"\"\r\n# cython: language_level=3\r\n# from __future__ import division\r\ncimport cython\r\nimport numpy as np\r\ncimport numpy as np\r\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "binlowhigh = (5, 0, 3)\nh = Histogram(binlowhigh)",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "h._binsizes",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": "array([ 0.])"
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python2",
      "display_name": "Python 2",
      "language": "python"
    },
    "language_info": {
      "mimetype": "text/x-python",
      "nbconvert_exporter": "python",
      "name": "python",
      "pygments_lexer": "ipython2",
      "version": "2.7.11",
      "file_extension": ".py",
      "codemirror_mode": {
        "version": 2,
        "name": "ipython"
      }
    },
    "gist": {
      "id": "338d1842b019eac562ab53b02b185a2d",
      "data": {
        "description": "Untitled.ipynb",
        "public": true
      }
    },
    "_draft": {
      "nbviewer_url": "https://gist.github.com/338d1842b019eac562ab53b02b185a2d"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}