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* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
class UsageTrackingDict(dict):
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"""Dict that tracks which keys have been accessed.
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It can also intercept gets and allow an arbitrary callback to be applied
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(i.e., to lazily convert numpy arrays to Tensors).
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We make the simplifying assumption only __getitem__ is used to access
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values.
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"""
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def __init__(self, *args, **kwargs):
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dict.__init__(self, *args, **kwargs)
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self.accessed_keys = set()
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self.intercepted_values = {}
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self.get_interceptor = None
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def set_get_interceptor(self, fn):
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self.get_interceptor = fn
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def __getitem__(self, key):
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self.accessed_keys.add(key)
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value = dict.__getitem__(self, key)
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if self.get_interceptor:
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if key not in self.intercepted_values:
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self.intercepted_values[key] = self.get_interceptor(value)
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value = self.intercepted_values[key]
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return value
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def __setitem__(self, key, value):
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dict.__setitem__(self, key, value)
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if key in self.intercepted_values:
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self.intercepted_values[key] = value
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