chore(jnml): format with black

Author: sanjayankur31

omv/engines/jneuroml.py

@@ -9,55 +9,60 @@
 
 
 class JNeuroMLEngine(OMVEngine):
-
     name = "jNeuroML"
 
     @staticmethod
     def get_environment():
-
-        if 'JNML_HOME' in os.environ:
-            jnmlhome = os.environ['JNML_HOME']
+        if "JNML_HOME" in os.environ:
+            jnmlhome = os.environ["JNML_HOME"]
         elif shutil.which("jnml") is not None:
             jnmlhome = Path(shutil.which("jnml")).parent
         else:
             osname = platform.system()
             if osname == "Linux":
                 try:
-                    jnmlhome = os.path.join(os.environ['XDG_DATA_HOME'],'jnml/jNeuroMLJar')
+                    jnmlhome = os.path.join(
+                        os.environ["XDG_DATA_HOME"], "jnml/jNeuroMLJar"
+                    )
                 except KeyError as e:
-                    jnmlhome = os.path.join(os.environ['HOME'],'.local/share/jnml/jNeuroMLJar')
+                    jnmlhome = os.path.join(
+                        os.environ["HOME"], ".local/share/jnml/jNeuroMLJar"
+                    )
             elif osname == "Darwin":
-                jnmlhome = os.path.join(os.environ['HOME'],'Library/jnml/jNeuroMLJar')
+                jnmlhome = os.path.join(os.environ["HOME"], "Library/jnml/jNeuroMLJar")
             else:
-                jnmlhome = os.path.join(os.environ['HOME'],'jnml/jNeuroMLJar')
+                jnmlhome = os.path.join(os.environ["HOME"], "jnml/jNeuroMLJar")
 
-        environment_vars = {'JNML_HOME': jnmlhome}
+        environment_vars = {"JNML_HOME": jnmlhome}
 
         return environment_vars
 
     @staticmethod
     def get_executable():
-
         environment_vars = JNeuroMLEngine.get_environment()
-        jnml = os.path.join(environment_vars['JNML_HOME'],'jnml' if os.name != 'nt' else 'jnml.bat')
+        jnml = os.path.join(
+            environment_vars["JNML_HOME"], "jnml" if os.name != "nt" else "jnml.bat"
+        )
         return jnml
 
     @staticmethod
     def is_installed():
         ret = True
         try:
             if is_verbose():
-                inform("Checking whether %s is installed..." %
-                   JNeuroMLEngine.name, indent=1)
-            FNULL = open(os.devnull, 'w')
+                inform(
+                    "Checking whether %s is installed..." % JNeuroMLEngine.name,
+                    indent=1,
+                )
+            FNULL = open(os.devnull, "w")
             jnml = JNeuroMLEngine.get_executable()
-            r = check_output([jnml, '-v'], verbosity=2,
-                                          env=JNeuroMLEngine.get_environment())
-            ret = '%s'%r.split()[1]
+            r = check_output(
+                [jnml, "-v"], verbosity=2, env=JNeuroMLEngine.get_environment()
+            )
+            ret = "%s" % r.split()[1]
 
             if is_verbose():
-                inform("%s %s is installed..." %
-                       (JNeuroMLEngine.name, ret), indent=2)
+                inform("%s %s is installed..." % (JNeuroMLEngine.name, ret), indent=2)
         except OSError as err:
             if is_verbose():
                 inform("Couldn't execute/import jNeuroML: ", err, indent=1)
@@ -68,18 +73,22 @@ def is_installed():
     def install(version):
         from omv.engines.getjnml import install_jnml
 
-        inform('Will fetch and install the latest jNeuroML jar', indent=2)
+        inform("Will fetch and install the latest jNeuroML jar", indent=2)
         install_jnml()
 
     def run(self):
         try:
-            inform("Running file %s with %s" % (trim_path(self.modelpath), self.name),
-                   indent=1)
+            inform(
+                "Running file %s with %s" % (trim_path(self.modelpath), self.name),
+                indent=1,
+            )
 
             jnml = JNeuroMLEngine.get_executable()
-            self.stdout = sp.check_output([jnml, self.modelpath, '-nogui'],
-                                          cwd=os.path.dirname(self.modelpath),
-                                          env=JNeuroMLEngine.get_environment())
+            self.stdout = sp.check_output(
+                [jnml, self.modelpath, "-nogui"],
+                cwd=os.path.dirname(self.modelpath),
+                env=JNeuroMLEngine.get_environment(),
+            )
             self.returncode = 0
         except sp.CalledProcessError as err:
             self.returncode = err.returncode