Writing text files with executable
Hi,
I'm trying to generate a text file via an executable but it is not creating a file. Here's the code (the main code, a Parser module and how the the input csv file should look):
import viz
import Parser
viz.go()
def CreateTemplate():
# Creates a sequence of zeroes and ones based on the duration and SampleRate and the input data
length = int(duration+1)
print "Duration: " + str(length)
outputsequence = []
for i in range (0, length):
if (i in sequence):
outputsequence.append(1.0)
print "SUCCESS: " + str(i)
else:
outputsequence.append(0.0)
return outputsequence
sequence = Parser.getSequence()
print sequence
duration = max(sequence)
CreateTemplate()
# Opens file 'response.txt' in write mode
file = open('response.txt', 'w')
# Define a function that saves data
def SaveData():
# Create the output string
data = CreateTemplate()
for each in data:
out = str(each) + '\n'
# Write the string to the output file
file.write(out)
# Makes sure the file data is really written to the harddrive
file.flush()
print "DONE"
# Define a function that is called every time a keyboard button is pressed
def mykeyboard(key):
# Calls the function SaveData and hands it the current time and key
if key==' ':
SaveData()
# Defines a callback for keyboard events
viz.callback(viz.KEYBOARD_EVENT, mykeyboard)
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
import csv
import viz
SampleRate = 1.0 # samples per msec
def getSequence(name = 'inputdata.csv', language = 'English'):
mesg = viz.input('Enter the filename:')
name = str(mesg)
sequence = []
sequenceFile = open(name)
reader = csv.reader(sequenceFile)
for line in reader:
# adjust the resolution of the input based on sample rate
# We have to basically multiply each element in the input sequence by
# the SampleRate (defined as samples per msec and assuming all input is in msec)
# and use that integer result
sequence.append(int(SampleRate*float(line[0])))
return sequence
if __name__ == "__main__":
#testing code
sequence = getSequence()
for item in sequence:
print item
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
csv file:
1
2
3
8
9
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