Add another recap exercise

jerry-git · jerry-git · commit b5bbaafbc33d · 2018-05-06T11:56:57.000+02:00
diff --git a/notebooks/beginner/exercises/recap2_exercise.ipynb b/notebooks/beginner/exercises/recap2_exercise.ipynb
@@ -72,6 +72,110 @@
    "source": [
     "If you copy the code from above cells into a single .py file, you have a rock-paper-scissor command line game!"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 2. Data analyzer\n",
+    "Implement `DataAnalyzer` class which has the following specification:\n",
+    "* `__init__` takes one argument which is a path to the file to be analyzed\n",
+    "* `total_samples` property returns the amount of the data samples in the file\n",
+    "* `average` property returns the average of the data samples in the file\n",
+    "* `median` property returns the median of the data samples in the file\n",
+    "* `max_value` property returns the maximum value of the data samples in the file\n",
+    "* `min_value` property returns the minimum value of the data samples in the file\n",
+    "* `create_report` method returns a report (string) of the file in the following format:\n",
+    "\n",
+    "```\n",
+    "Report for <filename>\n",
+    "samples: x\n",
+    "average: x.xx\n",
+    "median: xx.xx\n",
+    "max: xx.xx\n",
+    "min: x.xx\n",
+    "```\n",
+    " \n",
+    "Note that average, median, max, and min should be presented with two decimal places in the report.\n",
+    "\n",
+    "The format of the input file is comma separated and the file contains only numeric values.\n",
+    "\n",
+    "If there is no data in the input file (empty file), `NoData` exception should be raised. Note: `NoData` should be your custom exception."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Your implementation here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's verify it works."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "editable": false
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "WORKING_DIR = os.getcwd()\n",
+    "DATA_DIR = os.path.join(os.path.dirname(WORKING_DIR), 'data')\n",
+    "DATA_FILE = os.path.join(DATA_DIR, 'random_data.txt')\n",
+    "\n",
+    "da = DataAnalyzer(DATA_FILE)\n",
+    "\n",
+    "assert da.total_samples == 20\n",
+    "assert da.average == 49.35\n",
+    "assert da.median == 47.5\n",
+    "assert da.max_value == 94\n",
+    "assert da.min_value == 4\n",
+    "\n",
+    "report = da.create_report()\n",
+    "print(report)\n",
+    "\n",
+    "expected_report = (\n",
+    "'Report for random_data.txt\\n'\n",
+    "'samples: 20\\n'\n",
+    "'average: 49.35\\n'\n",
+    "'median: 47.50\\n'\n",
+    "'max: 94.00\\n'\n",
+    "'min: 4.00')\n",
+    "assert report == expected_report "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's check that it raises `NoData` with empty file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "editable": false
+   },
+   "outputs": [],
+   "source": [
+    "EMPTY_FILE = os.path.join(DATA_DIR, 'empty_file.txt')\n",
+    "try:\n",
+    "    da_empty = DataAnalyzer(EMPTY_FILE)\n",
+    "except NoData:\n",
+    "    print('All ok :)')\n",
+    "else: # There was not exception\n",
+    "    assert False"
+   ]
   }
  ],
  "metadata": {
