comment spacing

Python/collectvariables.py

@@ -6,14 +6,14 @@ import glob
 var = "[\s]*([a-zA-Z_][\w, ]*)[\s]*=[^=]"
 
 def get_unique_vars(filename):
-'''
-Goes through a file and finds all of the unique variable names.
-
-Input: 
-	filename(string): name of file from which to pull variable names.
-Output: 
-	unique_vs(set): set containing variable names as strings
-'''
+	'''
+	Goes through a file and finds all of the unique variable names.
+
+	Input: 
+		filename(string): name of file from which to pull variable names.
+	Output: 
+		unique_vs(set): set containing variable names as strings
+	'''
 	#Create set to accumulate variables.
 	unique_vs = set()
 	with open(filename) as f:
@@ -28,15 +28,15 @@ Output:
 
 
 def main():
-'''
-Works over our pydata directory and pulls variables from the number of files
-specified.
-
-Input:
-	subset(int): number of files to run over within the directory.
-Output:
-	None, but writes all variable files to our pyvariables directory.
-'''
+	'''
+	Works over our pydata directory and pulls variables from the number of files
+	specified.
+
+	Input:
+		subset(int): number of files to run over within the directory.
+	Output:
+		None, but writes all variable files to our pyvariables directory.
+	'''
 	count = 0
 	for filename in glob.glob("pydata/pyfile*.txt"):
 		if count == subset:

Python/pyfilesplit.py

 import re
 
 def go(subset):
-'''
-Takes in the raw python text file and splits the file into a subset.
+	'''
+	Takes in the raw python text file and splits the file into a subset.
 
-Input:
-	subset(int): number of files desired for subset.
-Output:
-	None but the function files will be written to the directory pyfiles.
-'''
+	Input:
+		subset(int): number of files desired for subset.
+	Output:
+		None but the function files will be written to the directory pyfiles.
+	'''
 	#Initialize counters and boolean.
 	count = 0
 	prev = False

Python/pyfuncsplit.py

 import re
 
 def go(subset):
-'''
-Takes in the raw python text file and splits the functions into a subset of 
-individual files.
+	'''
+	Takes in the raw python text file and splits the functions into a subset of 
+	individual files.
 
-Input:
-	subset(int): number of files desired for subset.
-Output:
-	None but the function files will be written to the directory pyfunctions
-	with the names, parameters, and body separated.
-'''
+	Input:
+		subset(int): number of files desired for subset.
+	Output:
+		None but the function files will be written to the directory pyfunctions
+		with the names, parameters, and body separated.
+	'''
 	with open("data/python.txt", 'r') as f:
 		#Initializes all counters and function accumulator.
 		func = False

text_to_dict.py

 import json
 
 def to_json(filename, dataname):
-'''
-Takes the output of mrjob and turns it into a json.
+    '''
+    Takes the output of mrjob and turns it into a json.
 
-Inputs:
-    filename(string): name of .txt file to be processed.
-    dataname(string): name of .json file to be written.
-Outputs:
-    .json file with the output.
-'''
+    Inputs:
+        filename(string): name of .txt file to be processed.
+        dataname(string): name of .json file to be written.
+    Outputs:
+        .json file with the output.
+    '''
     resultdict = {}
     with open(filename) as resultfile:
         results = resultfile.readlines()

util.py

@@ -6,15 +6,15 @@ REG_F = "def [a-zA-Z_][\w]*\("
 DEFAULT_RETURN = 1
 
 def funcsim(file1name,file2name):
-'''
-Given two function files generated by pyfuncsplit.py, we get 
-the parameters of these functions.
+    '''
+    Given two function files generated by pyfuncsplit.py, we get 
+    the parameters of these functions.
 
-Inputs:
-    file1name, file2name (strings): files to be read.
-Output:
-    tuple with name, parameters, and text of files.
-'''
+    Inputs:
+        file1name, file2name (strings): files to be read.
+    Output:
+        tuple with name, parameters, and text of files.
+    '''
     with open(file1name) as f1:
         with open(file2name) as f2:
             f1text = f1.read()