cyrilzhang
commited on
Commit
•
dbf2014
1
Parent(s):
7945e24
rename classes
Browse files- automata.py +37 -36
automata.py
CHANGED
@@ -32,10 +32,16 @@ version = major + 0.1*minor
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OLD_PY_VERSION = 1 if version < 3.8 else 0
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_CITATION = """\
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"""
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_DESCRIPTION = """\
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-
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"""
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_HOMEPAGE = ""
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@@ -44,7 +50,7 @@ _LICENSE = ""
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_URLS = {}
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-
class
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("0.0.0")
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@@ -64,7 +70,7 @@ class SyntheticAutomataDataset(datasets.GeneratorBasedBuilder):
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config['size'] = -1
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self.data_config = config
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-
self.
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def _info(self):
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features = datasets.Features(
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@@ -96,14 +102,13 @@ class SyntheticAutomataDataset(datasets.GeneratorBasedBuilder):
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for i in itertools.count(start=0):
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if i == self.data_config['size']:
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break
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-
x, y = self.
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yield i, {
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"input_ids": x,
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"label_ids": y
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}
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-
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-
class AutomatonSampler:
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"""
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This is a parent class that must be inherited.
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"""
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@@ -144,13 +149,10 @@ class AutomatonSampler:
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def help(self):
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print(self.__info__)
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-
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-
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-
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-
class BinaryInputSampler(AutomatonSampler):
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"""
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This is a parent class that must be inherited.
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-
Subclasses:
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TODO: sample sequences with a given number of 1s
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"""
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@@ -171,7 +173,7 @@ class BinaryInputSampler(AutomatonSampler):
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x = self.np_rng.binomial(1, self.prob1, size=T)
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return x, self.f(x)
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'parity'
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@@ -185,7 +187,7 @@ class ParitySampler(BinaryInputSampler):
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def f(self, x):
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return np.cumsum(x) % 2
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-
class
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"""
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Note: gridworld currently doesn't include a no-op.
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"""
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@@ -234,7 +236,7 @@ class GridworldSampler(BinaryInputSampler):
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return np.array(states).astype(np.int64)
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'abab'
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@@ -290,7 +292,7 @@ class ABABSampler(BinaryInputSampler):
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return super().sample()
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'addition'
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@@ -351,7 +353,7 @@ class AdderSampler(BinaryInputSampler):
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return x_encode, self.f(x)
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'flipflop'
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@@ -388,10 +390,10 @@ class FlipFlopSampler(AutomatonSampler):
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-
class
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"""
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This is a parent class that must be inherited.
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-
Subclasses:
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"""
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def __init__(self, data_config):
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super().__init__(data_config)
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@@ -436,7 +438,7 @@ class PermutationSampler(AutomatonSampler):
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return x, self.f(x)
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-
class
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"""
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TODO: add options for labels as functions of states
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- parity (whether a state is even): this may need packages (e.g. Permutation from sympy)
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@@ -494,7 +496,7 @@ class SymmetricSampler(PermutationSampler):
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+ self.__info__
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-
class
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"""
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TODO: other choices of generators (currently using (12x))?
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"""
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@@ -537,7 +539,7 @@ class AlternatingSampler(PermutationSampler):
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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@@ -575,7 +577,7 @@ class CyclicSampler(AutomatonSampler):
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return x, self.f(x)
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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@@ -665,7 +667,7 @@ class DihedralSampler(AutomatonSampler):
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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@@ -700,7 +702,7 @@ class QuaternionSampler(AutomatonSampler):
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return x, self.f(x)
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-
class
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def __init__(self, data_config):
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super().__init__(data_config)
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@@ -751,17 +753,16 @@ class PermutationResetSampler(AutomatonSampler):
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dataset_map = {
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-
'abab':
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'add':
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-
'alternating':
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'cyclic':
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'dihedral':
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'flipflop':
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'gridworld':
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'parity':
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'quaternion':
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'symmetric':
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'permutation_reset':
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# TODO: add Dyck
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}
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-
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OLD_PY_VERSION = 1 if version < 3.8 else 0
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_CITATION = """\
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+
@article{liu2022transformers,
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title={Transformers learn shortcuts to automata},
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author={Liu, Bingbin and Ash, Jordan T and Goel, Surbhi and Krishnamurthy, Akshay and Zhang, Cyril},
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journal={arXiv preprint arXiv:2210.10749},
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year={2022}
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}
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"""
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_DESCRIPTION = """\
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Non-autoregressive automaton simulation datasets.
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"""
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_HOMEPAGE = ""
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_URLS = {}
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class AutomatonDataset(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("0.0.0")
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config['size'] = -1
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self.data_config = config
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self.automaton = dataset_map[config['name']](config)
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def _info(self):
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features = datasets.Features(
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for i in itertools.count(start=0):
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if i == self.data_config['size']:
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break
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x, y = self.automaton.sample()
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yield i, {
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"input_ids": x,
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"label_ids": y
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}
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class Automaton:
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"""
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This is a parent class that must be inherited.
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"""
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def help(self):
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print(self.__info__)
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class BinaryInputAutomaton(Automaton):
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"""
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This is a parent class that must be inherited.
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Subclasses: ParityAutomaton, GridworldAutomaton, ABABAutomaton
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TODO: sample sequences with a given number of 1s
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"""
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x = self.np_rng.binomial(1, self.prob1, size=T)
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return x, self.f(x)
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class ParityAutomaton(BinaryInputAutomaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'parity'
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def f(self, x):
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return np.cumsum(x) % 2
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class GridworldAutomaton(BinaryInputAutomaton):
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"""
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Note: gridworld currently doesn't include a no-op.
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"""
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return np.array(states).astype(np.int64)
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class ABABAutomaton(BinaryInputAutomaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'abab'
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return super().sample()
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class AdderAutomaton(BinaryInputAutomaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'addition'
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return x_encode, self.f(x)
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class FlipFlopAutomaton(Automaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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self.name = 'flipflop'
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class PermutationAutomaton(Automaton):
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"""
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This is a parent class that must be inherited.
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Subclasses: SymmetricAutomaton, AlternatingAutomaton
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"""
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def __init__(self, data_config):
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super().__init__(data_config)
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return x, self.f(x)
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class SymmetricAutomaton(PermutationAutomaton):
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"""
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TODO: add options for labels as functions of states
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- parity (whether a state is even): this may need packages (e.g. Permutation from sympy)
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+ self.__info__
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class AlternatingAutomaton(PermutationAutomaton):
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"""
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TODO: other choices of generators (currently using (12x))?
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"""
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class CyclicAutomaton(Automaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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return x, self.f(x)
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+
class DihedralAutomaton(Automaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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class QuaternionAutomaton(Automaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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return x, self.f(x)
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+
class PermutationResetAutomaton(Automaton):
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def __init__(self, data_config):
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super().__init__(data_config)
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dataset_map = {
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'abab': ABABAutomaton,
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'add': AdderAutomaton,
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'alternating': AlternatingAutomaton,
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'cyclic': CyclicAutomaton,
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'dihedral': DihedralAutomaton,
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'flipflop': FlipFlopAutomaton,
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'gridworld': GridworldAutomaton,
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'parity': ParityAutomaton,
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'quaternion': QuaternionAutomaton,
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'symmetric': SymmetricAutomaton,
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'permutation_reset': PermutationResetAutomaton
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# TODO: add Dyck
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}
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