From b66e11b72a4ce639ffd1331fb15f0ec3bca07f27 Mon Sep 17 00:00:00 2001
From: Micah Smith <micahjsmith@gmail.com>
Date: Mon, 30 Apr 2018 10:35:16 -0400
Subject: [PATCH] Delete existing source files

---
 dengue_prediction/io.py                      | 95 --------------------
 dengue_prediction/visualization/visualize.py |  0
 2 files changed, 95 deletions(-)
 delete mode 100644 dengue_prediction/io.py
 delete mode 100644 dengue_prediction/visualization/visualize.py

diff --git a/dengue_prediction/io.py b/dengue_prediction/io.py
deleted file mode 100644
index 8c6edb5..0000000
--- a/dengue_prediction/io.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import logging
-import os
-import pathlib
-import pickle
-
-import h5py
-import numpy as np
-import pandas as pd
-
-from dengue_prediction.util import splitext2
-
-logger = logging.getLogger(__name__)
-
-
-def _check_ext(ext, expected):
-    if ext != expected:
-        msg = ('File path has wrong extension: {} (expected {})'
-               .format(ext, expected))
-        raise ValueError(msg)
-
-
-def write_tabular(obj, filepath):
-    _, fn, ext = splitext2(filepath)
-    if ext == '.h5':
-        _write_tabular_h5(obj, filepath)
-    elif ext == '.pkl':
-        _write_tabular_pickle(obj, filepath)
-    else:
-        raise NotImplementedError
-
-
-def _write_tabular_pickle(obj, filepath):
-    _, fn, ext = splitext2(filepath)
-    _check_ext(ext, '.pkl')
-    if isinstance(obj, np.ndarray):
-        with open(str(filepath), 'wb') as f:
-            pickle.dump(obj, f)
-    elif isinstance(obj, pd.core.frame.NDFrame):
-        obj.to_pickle(filepath)
-    else:
-        raise NotImplementedError
-
-
-def _write_tabular_h5(obj, filepath):
-    _, fn, ext = splitext2(filepath)
-    _check_ext(ext, '.h5')
-    if isinstance(obj, np.ndarray):
-        with h5py.File(filepath, 'w') as hf:
-            hf.create_dataset(fn, data=obj)
-    elif isinstance(obj, pd.core.frame.NDFrame):
-        obj.to_hdf(filepath, key=fn)
-    else:
-        raise NotImplementedError
-
-
-def read_tabular(filepath):
-    _, fn, ext = splitext2(filepath)
-    if ext == '.h5':
-        return _read_tabular_h5(filepath)
-    elif ext == '.pkl':
-        return _read_tabular_pickle(filepath)
-    else:
-        raise NotImplementedError
-
-
-def _read_tabular_h5(filepath):
-    _, fn, ext = splitext2(filepath)
-    _check_ext(ext, '.h5')
-    with h5py.File(filepath, 'r') as hf:
-        dataset = hf[fn]
-        data = dataset[:]
-        return data
-
-
-def _read_tabular_pickle(filepath):
-    _, fn, ext = splitext2(filepath)
-    _check_ext(ext, '.pkl')
-    with open(str(filepath), 'rb') as f:
-        return pickle.load(f)
-
-
-def save_model(model, output_dir):
-    logger.info('Saving model...')
-    os.makedirs(output_dir, exist_ok=True)
-    filepath = pathlib.Path(output_dir).joinpath('model.pkl')
-    model.dump(filepath)
-    logger.info('Saving model...DONE ({})'.format(filepath))
-
-
-def save_predictions(y, output_dir):
-    logger.info('Saving predictions...')
-    os.makedirs(output_dir, exist_ok=True)
-    filepath = pathlib.Path(output_dir).joinpath('predictions.pkl')
-    write_tabular(y, filepath)
-    logger.info('Saving predictions...DONE ({})'.format(filepath))
diff --git a/dengue_prediction/visualization/visualize.py b/dengue_prediction/visualization/visualize.py
deleted file mode 100644
index e69de29..0000000