nvcc_compiler.py has been modified in order to respect the flake8 style.

theano/sandbox/cuda/nvcc_compiler.py

@@ -4,7 +4,6 @@ import logging
 import os
 import subprocess
 import sys
-import warnings
 from locale import getpreferredencoding
 
 import numpy
@@ -249,8 +248,9 @@ class NVCC_compiler(Compiler):
             _logger.debug('Writing module C++ code to %s', cppfilename)
             cppfile.write(src_code)
 
-        lib_filename = os.path.join(location, '%s.%s' %
-                (module_name, get_lib_extension()))
+        lib_filename = os.path.join(
+            location, '%s.%s' %
+            (module_name, get_lib_extension()))
 
         _logger.debug('Generating shared lib %s', lib_filename)
         # TODO: Why do these args cause failure on gtx285 that has 1.3
@@ -268,7 +268,7 @@ class NVCC_compiler(Compiler):
                 continue
             for pattern in ['-O', '-arch=', '-ccbin=', '-G', '-g', '-I',
                             '-L', '--fmad', '--ftz', '--maxrregcount',
-                            '--prec-div', '--prec-sqrt',  '--use_fast_math',
+                            '--prec-div', '--prec-sqrt', '--use_fast_math',
                             '-fmad', '-ftz', '-maxrregcount',
                             '-prec-div', '-prec-sqrt', '-use_fast_math',
                             '--use-local-env', '--cl-version=']:
@@ -311,7 +311,7 @@ class NVCC_compiler(Compiler):
         # https://wiki.debian.org/RpathIssue for details.
 
         if (not type(config.cuda).root.is_default and
-            os.path.exists(os.path.join(config.cuda.root, 'lib'))):
+                os.path.exists(os.path.join(config.cuda.root, 'lib'))):
 
             rpaths.append(os.path.join(config.cuda.root, 'lib'))
             if sys.platform != 'darwin':
@@ -341,7 +341,7 @@ class NVCC_compiler(Compiler):
                 indexof = cmd.index('-u')
                 cmd.pop(indexof)  # Remove -u
                 cmd.pop(indexof)  # Remove argument to -u
-            except ValueError as e:
+            except ValueError:
                 done = True
 
         # CUDA Toolkit v4.1 Known Issues:
@@ -359,11 +359,13 @@ class NVCC_compiler(Compiler):
         try:
             os.chdir(location)
             p = subprocess.Popen(
-                    cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+                cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
             nvcc_stdout_raw, nvcc_stderr_raw = p.communicate()[:2]
             console_encoding = getpreferredencoding()
             nvcc_stdout = decode_with(nvcc_stdout_raw, console_encoding)
             nvcc_stderr = decode_with(nvcc_stderr_raw, console_encoding)
+            p = subprocess.Popen(
+                cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
         finally:
             os.chdir(orig_dir)