Sourcery Starbot ⭐ refactored RusherRG/OpenAI-Gyms#1
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| args = argparser.parse_args() | ||
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| return args | ||
| return argparser.parse_args() |
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Function Agent.parser refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
| model = None | ||
| return model | ||
| return None |
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Function Agent.load_model refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
| args = argparser.parse_args() | ||
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| return args | ||
| return argparser.parse_args() |
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Function Agent.parser refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| def neural_network_model(): | ||
| model = tf.keras.Sequential([ | ||
| return tf.keras.Sequential([ |
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Function neural_network_model refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
| model = tf.keras.models.load_model(name) | ||
| return model | ||
| return tf.keras.models.load_model(name) |
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Function loadmodel refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
| for episode in range(5): | ||
| for _ in range(5): |
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Function some_random_games_first refactored with the following changes:
- Replace unused for index with underscore (
for-index-underscore)
| for i_episode in range(20): | ||
| for _ in range(20): |
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Function env_test refactored with the following changes:
- Replace unused for index with underscore (
for-index-underscore)
| args = argparser.parse_args() | ||
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| return args | ||
| return argparser.parse_args() |
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Function QLearning.parser refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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