Use os.path.join and close files

8 files changed, 16 insertions, 8 deletions

diff --git a/config/dest_simple_mlp_tgtcls_0_cs.py b/config/dest_simple_mlp_tgtcls_0_cs.py
index f5b9a1e..cd62926 100644
--- a/config/dest_simple_mlp_tgtcls_0_cs.py
+++ b/config/dest_simple_mlp_tgtcls_0_cs.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f)
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f)
 
 dim_embeddings = [
     ('origin_call', data.origin_call_train_size, 10),
diff --git a/config/dest_simple_mlp_tgtcls_1_cs.py b/config/dest_simple_mlp_tgtcls_1_cs.py
index 54457e7..31a226e 100644
--- a/config/dest_simple_mlp_tgtcls_1_cs.py
+++ b/config/dest_simple_mlp_tgtcls_1_cs.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f)
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f)
 
 dim_embeddings = [
     ('origin_call', data.origin_call_train_size, 10),
diff --git a/config/dest_simple_mlp_tgtcls_1_cswdt.py b/config/dest_simple_mlp_tgtcls_1_cswdt.py
index 486b7a6..5f5b2ff 100644
--- a/config/dest_simple_mlp_tgtcls_1_cswdt.py
+++ b/config/dest_simple_mlp_tgtcls_1_cswdt.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f)
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f)
 
 dim_embeddings = [
     ('origin_call', data.origin_call_train_size, 10),
diff --git a/config/dest_simple_mlp_tgtcls_1_cswdtx.py b/config/dest_simple_mlp_tgtcls_1_cswdtx.py
index 713581d..0806dd7 100644
--- a/config/dest_simple_mlp_tgtcls_1_cswdtx.py
+++ b/config/dest_simple_mlp_tgtcls_1_cswdtx.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f)
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f)
 
 dim_embeddings = [
     ('origin_call', data.origin_call_train_size, 10),
diff --git a/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py b/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py
index c0ba36c..1dc26a5 100644
--- a/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py
+++ b/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f)
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f)
 
 dim_embeddings = [
     ('origin_call', data.origin_call_train_size, 10),
diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx.py b/config/joint_simple_mlp_tgtcls_111_cswdtx.py
index a7e0415..2029010 100644
--- a/config/joint_simple_mlp_tgtcls_111_cswdtx.py
+++ b/config/joint_simple_mlp_tgtcls_111_cswdtx.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f:
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f:
     dest_tgtcls = cPickle.load(f)
 
 # generate target classes for time prediction as a Fibonacci sequence
diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx_noise_dout.py b/config/joint_simple_mlp_tgtcls_111_cswdtx_noise_dout.py
index 1faea15..356c3a5 100644
--- a/config/joint_simple_mlp_tgtcls_111_cswdtx_noise_dout.py
+++ b/config/joint_simple_mlp_tgtcls_111_cswdtx_noise_dout.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks import roles
@@ -14,7 +15,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f:
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f:
     dest_tgtcls = cPickle.load(f)
 
 # generate target classes for time prediction as a Fibonacci sequence
diff --git a/config/joint_simple_mlp_tgtcls_1_cswdtx.py b/config/joint_simple_mlp_tgtcls_1_cswdtx.py
index c4bc2fb..5da4130 100644
--- a/config/joint_simple_mlp_tgtcls_1_cswdtx.py
+++ b/config/joint_simple_mlp_tgtcls_1_cswdtx.py
@@ -1,3 +1,4 @@
+import os
 import cPickle
 
 from blocks.initialization import IsotropicGaussian, Constant
@@ -11,7 +12,7 @@ n_end_pts = 5
 
 n_valid = 1000
 
-with open("%s/arrival-clusters.pkl" % data.path) as f:
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f:
     dest_tgtcls = cPickle.load(f)
 
 # generate target classes for time prediction as a Fibonacci sequence