Merge e26b98c into 5aabac1

.travis.yml

@@ -1,6 +1,8 @@
 language: python
 
 python:
+  - "3.4"
+  - "3.5"
   - "3.6"
 
 install:

setup.py

@@ -0,0 +1,21 @@
+from setuptools import find_packages, setup
+
+setup(
+    name='m2cgen',
+    version='0.1.0',
+    url='https://github.com/BayesWitnesses/m2cgen',
+    description='Code-generation for various ML models into native code.',
+    license='MIT',
+    packages=find_packages(exclude=['tests.*', 'tests']),
+    include_package_data=True,
+    classifiers=[
+        'License :: OSI Approved :: MIT License',
+        'Programming Language :: Python :: 3',
+        'Programming Language :: Python :: 3.4',
+        'Programming Language :: Python :: 3.5',
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7',
+        'Programming Language :: Python :: Implementation :: CPython',
+    ],
+    python_requires='!=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*',
+)

tests/e2e/executors/java.py

@@ -24,8 +24,8 @@ def predict(self, X):
             "Executor", "Model", "score"
         ]
         exec_args.extend(map(str, X))
-        result = subprocess.run(exec_args, stdout=subprocess.PIPE)
-        items = result.stdout.decode("utf-8").split(" ")
+        result = subprocess.Popen(exec_args, stdout=subprocess.PIPE)
+        items = result.stdout.read().decode("utf-8").split(" ")
         if len(items) == 1:
             return float(items[0])
         else:
@@ -51,4 +51,4 @@ def prepare(self):
         # Compile all files together.
         exec_args = [self._javac_bin] + files_to_compile + (
             [os.path.join(self._resource_tmp_dir, "Executor.java")])
-        subprocess.run(exec_args)
+        subprocess.call(exec_args)