newer deps

Author: fschlimb

tutorial/environment.yml

@@ -2,18 +2,18 @@ name: hpattut
 channels:
   - numba/label/dev
   - ehsantn
-  - intel
   - conda-forge
+  - intel
   - defaults
 dependencies:
-  - arrow-cpp=0.11.1=py36h3bd774a_0
+  - arrow-cpp=0.11.1=py36h5c3f529_0
   - attrs=19.1.0=py36_1
   - backcall=0.1.0=py36_0
   - bleach=3.1.0=py36_0
-  - boost=1.68.0=py36h8619c78_1001
-  - boost-cpp=1.68.0=h11c811c_1000
+  - boost=1.67.0=py36_4
+  - boost-cpp=1.67.0=h14c3975_4
   - bzip2=1.0.6=17
-  - ca-certificates=2019.1.23=0
+  - ca-certificates=2019.3.9=hecc5488_0
   - certifi=2019.3.9=py36_0
   - cycler=0.10.0=py36_7
   - daal=2019.3=intel_199
@@ -25,7 +25,9 @@ dependencies:
   - expat=2.2.6=he6710b0_0
   - fontconfig=2.13.0=h9420a91_0
   - freetype=2.9.1=h8a8886c_1
+  - gflags=2.2.2=he6710b0_0
   - glib=2.56.2=hd408876_0
+  - glog=0.3.5=hf484d3e_1
   - gmp=6.1.2=h6c8ec71_1
   - gst-plugins-base=1.14.0=hbbd80ab_1
   - gstreamer=1.14.0=hb453b48_1
@@ -47,7 +49,9 @@ dependencies:
   - jupyter_core=4.4.0=py36_0
   - kiwisolver=1.0.1=py36_2
   - libblas=3.8.0=4_openblas
+  - libboost=1.67.0=h46d08c1_4
   - libcblas=3.8.0=4_openblas
+  - libevent=2.1.8=h93c0eb6_0
   - libffi=3.2.1=hd88cf55_4
   - libgcc-ng=8.2.0=hdf63c60_1
   - libgfortran=3.0.0=1
@@ -58,6 +62,7 @@ dependencies:
   - libxcb=1.13=h1bed415_1
   - libxml2=2.9.9=he19cac6_0
   - llvmlite=0.29.0dev0=py36hf484d3e_4
+  - lz4-c=1.8.3=hf484d3e_1001
   - markupsafe=1.1.1=py36h7b6447c_0
   - matplotlib=3.0.1=py36_1
   - mistune=0.8.4=py36h7b6447c_0
@@ -71,7 +76,7 @@ dependencies:
   - numexpr=2.6.8=py36_2
   - numpy=1.16.2=py36h7fc5cc3_0
   - openblas=0.3.5=ha44fe06_0
-  - openssl=1.0.2r=h7b6447c_0
+  - openssl=1.0.2r=0
   - pandas=0.24.1=py36_3
   - pandoc=2.2.3.2=0
   - pandocfilters=1.4.2=py36_1
@@ -84,7 +89,8 @@ dependencies:
   - prometheus_client=0.6.0=py36_0
   - prompt_toolkit=2.0.9=py36_0
   - ptyprocess=0.6.0=py36_0
-  - pyarrow=0.11.1=py36hbbcf98d_1002
+  - py-boost=1.67.0=py36h04863e7_4
+  - pyarrow=0.11.1=py36he6710b0_0
   - pygments=2.3.1=py36_0
   - pyparsing=2.2.0=py36_2
   - pyqt=5.9.2=py36h05f1152_2
@@ -99,11 +105,13 @@ dependencies:
   - setuptools=39.0.1=py36_0
   - sip=4.19.8=py36hf484d3e_0
   - six=1.11.0=py36_3
+  - snappy=1.1.7=hbae5bb6_3
   - sqlite=3.27.2=2
   - tbb=2019.4=intel_199
   - tcl=8.6.4=22
   - terminado=0.8.1=py36_1
   - testpath=0.4.2=py36_0
+  - thrift-cpp=0.11.0=hc04171f_3
   - tk=8.6.4=28
   - tornado=6.0.2=py36h7b6447c_0
   - traitlets=4.3.2=py36_0
@@ -114,3 +122,4 @@ dependencies:
   - xz=5.2.4=h14c3975_1001
   - zeromq=4.3.1=he6710b0_3
   - zlib=1.2.11=5
+  - zstd=1.3.3=h84994c4_0

tutorial/hpat.ipynb

@@ -162,9 +162,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "93.9 ms ± 11.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+     ]
+    }
+   ],
    "source": [
     "import hpat\n",
     "import pandas as pd\n",
@@ -595,9 +603,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'daal4py.hpat'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-2-fa4b44e49c22>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mhpat\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdaal4py\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0md4p\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mdaal4py\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhpat\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mhpat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjit\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'daal4py.hpat'"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import hpat\n",
@@ -690,6 +710,63 @@
     "# Intraday-stock-mean-reversion-trading-backtest\n",
     "A nice backtest from http://www.pythonforfinance.net/2017/02/20/intraday-stock-mean-reversion-trading-backtest-in-python/ works nicely with HPAT. The full code use many of the above features and is attached (intraday_mean.py) to the tutorial. Enjoy!\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import daal4py as d"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'(2019, 3)'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'daal4py.hpat'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-5-a435cc549af4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mdaal4py\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhpat\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'daal4py.hpat'"
+     ]
+    }
+   ],
+   "source": [
+    "import daal4py.hpat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {