1 files changed, 62 insertions, 0 deletions
diff --git a/stock.py b/stock.py
new file mode 100755
index 0000000..6ad60ed
--- /dev/null
+++ b/stock.py
@@ -0,0 +1,62 @@
+#!python
+# _*_ coding=utf-8 _*_
+
+import argparse
+import code
+import readline
+import signal
+import sys
+import pandas as pd
+import numpy as np
+import json
+import os
+import urllib3
+import time
+from keras.models import Sequential
+from keras.layers import Activation, Dense
+from keras.layers import LSTM
+from keras.layers import Dropout
+from keras.models import load_model
+
+def SigHandler_SIGINT(signum, frame):
+    print()
+    sys.exit(0)
+
+class Argparser(object):
+    def __init__(self):
+        parser = argparse.ArgumentParser()
+        parser.add_argument("--string", type=str, help="string")
+        parser.add_argument("--bool", action="store_true", help="bool", default=False)
+        parser.add_argument("--dbg", action="store_true", help="debug", default=False)
+        self.args = parser.parse_args()
+
+def build_model(train_data):
+    model = models.Sequential()
+    model.add(layers.Dense(64, activation="relu", input_shape=(train_data.shape[1],)))
+    model.add(layers.Dense(64, activation="relu"))
+    model.add(layers.Dense(1))
+    model.compile(optimizer="rmsprop", loss="mse", metrics=["acc"])
+    return model
+
+# write code here
+def premain(argparser):
+    signal.signal(signal.SIGINT, SigHandler_SIGINT)
+    #here
+
+def main():
+    argparser = Argparser()
+    if argparser.args.dbg:
+        try:
+            premain(argparser)
+        except Exception as e:
+            print(e.__doc__)
+            if e.message: print(e.message)
+            variables = globals().copy()
+            variables.update(locals())
+            shell = code.InteractiveConsole(variables)
+            shell.interact(banner="DEBUG REPL")
+    else:
+        premain(argparser)
+
+if __name__ == "__main__":
+    main()