move back to _

README.md

@@ -1,17 +1,17 @@
-# gym-cache
+# gym_cache
 OpenAI based Gym environments for training RL caching agent
 
 install it:
 <code>
-   pip install gym-cache
+   pip install gym_cache
 </code> 
 
 import it like this:
 
 <code>
 import gym
 
-gym.make('gym-cache:Cache-v0')
+gym.make('gym_cache:Cache-v0')
 </code>
 
 

gym-cache/__init__.py

@@ -6,7 +6,7 @@
 # discrete action cache
 register(
     id='Cache-v0',
-    entry_point='gym-cache.envs:CacheEnv',
+    entry_point='gym_cache.envs:CacheEnv',
     kwargs={
         'InputData': 'data/MWT2_processed',
         'CacheSize': 100 * 1024 * 1024 * 1024
@@ -18,7 +18,7 @@
 
 register(
     id='Cache-large-v0',
-    entry_point='gym-cache.envs:CacheEnv',
+    entry_point='gym_cache.envs:CacheEnv',
     kwargs={
         'InputData': 'data/MWT2_processed',
         'CacheSize': 100 * 1024 * 1024 * 1024
@@ -31,7 +31,7 @@
 # continuous action cache
 register(
     id='Cache-continuous-v0',
-    entry_point='gym-cache.envs:CacheContinousEnv',
+    entry_point='gym_cache.envs:CacheContinousEnv',
     kwargs={
         'InputData': 'data/MWT2_processed',
         'CacheSize': 100 * 1024 * 1024 * 1024

gym-cache/envs/__init__.py

@@ -1,2 +1,2 @@
-from gym-cache.envs.cache_env import CacheEnv
-from gym-cache.envs.cache_continous import CacheContinousEnv
+from gym_cache.envs.cache_env import CacheEnv
+from gym_cache.envs.cache_continous import CacheContinousEnv

setup.py

@@ -4,8 +4,8 @@
     long_description = fh.read()
 
 setuptools.setup(
-    name='gym-cache',
-    version='1.0.0',
+    name='gym_cache',
+    version='1.0.1',
     install_requires=[
         'gym>=0.2.3',
         'pandas>=0.24.2',
@@ -17,7 +17,7 @@
     description="gym environment simulating file cache.",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="https://github.com/ivukotic/gym-cache",
+    url="https://github.com/ivukotic/gym_cache",
     packages=setuptools.find_packages(),
     classifiers=[
         "Programming Language :: Python :: 3",

unit.py

@@ -2,7 +2,7 @@
 
 import gym
 
-env = gym.make('gym-cache:Cache-v0')
+env = gym.make('gym_cache:Cache-v0')
 env.reset()
 
 total_reward = 0