[LNT] Python 3 support: adapt to renaming of raw_input to input

Summary:
Replace calls to raw_input by calls to input() which is not evaluated as
an expression in Python3. Import input from builtins to maintain
current behavior on Python2. This was produced by running
futurize's stage2 lib2to3.fixes.fix_raw_input.

Reviewers: cmatthews, hubert.reinterpretcast, kristof.beyls

Reviewed By: hubert.reinterpretcast

Subscribers: llvm-commits

Differential Revision: https://reviews.llvm.org/D67818

llvm-svn: 372823

Author: Thomas Preud'homme

lnt/external/stats/stats.py

@@ -224,6 +224,7 @@
 
 from __future__ import absolute_import
 from __future__ import print_function
+from builtins import input
 from . import pstat        # required 3rd party module
 import math, string, copy  # required python modules
 from types import *
@@ -776,7 +777,7 @@ def lpaired(x,y):
     samples = ''
     while samples not in ['i','r','I','R','c','C']:
         print('\nIndependent or related samples, or correlation (i,r,c): ', end=' ')
-        samples = raw_input()
+        samples = input()
 
     if samples in ['i','I','r','R']:
         print('\nComparing variances ...', end=' ')
@@ -811,7 +812,7 @@ def lpaired(x,y):
         corrtype = ''
         while corrtype not in ['c','C','r','R','d','D']:
             print('\nIs the data Continuous, Ranked, or Dichotomous (c,r,d): ', end=' ')
-            corrtype = raw_input()
+            corrtype = input()
         if corrtype in ['c','C']:
             m,b,r,p,see = linregress(x,y)
             print('\nLinear regression for continuous variables ...')
@@ -2988,7 +2989,7 @@ def apaired(x,y):
     samples = ''
     while samples not in ['i','r','I','R','c','C']:
         print('\nIndependent or related samples, or correlation (i,r,c): ', end=' ')
-        samples = raw_input()
+        samples = input()
 
     if samples in ['i','I','r','R']:
         print('\nComparing variances ...', end=' ')
@@ -3023,7 +3024,7 @@ def apaired(x,y):
         corrtype = ''
         while corrtype not in ['c','C','r','R','d','D']:
             print('\nIs the data Continuous, Ranked, or Dichotomous (c,r,d): ', end=' ')
-            corrtype = raw_input()
+            corrtype = input()
         if corrtype in ['c','C']:
             m,b,r,p,see = linregress(x,y)
             print('\nLinear regression for continuous variables ...')

requirements.client.txt

@@ -17,4 +17,5 @@ typing
 click==6.7
 pyyaml==3.12
 requests
+future
 -e svn+https://llvm.org/svn/llvm-project/llvm/trunk/utils/lit/#egg=lit