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'''
RASP OPERATORS THAT ARE SUPPORTED BY TRACR'S PYTHON EMBEDDING
This file contains Python classes that define the rasp operators supported by TRACR's python embedding of the langauge.
This is subset of everything that TRACR supports in python, due to project time constraints.
'''
import random
from typing import (Any, Callable, Dict, Generic, List, Mapping, Optional,
Sequence, TypeVar, Union)
from tracr.rasp import rasp
import subprocess
import time
'''
CLASS DEFINITIONS
'''
class Tokens:
'''
Tokens constant.
'''
def __init__(self):
self.n_args = 0
self.arg_types = []
self.return_type = rasp.SOp
self.weight = 1
def to_python(self):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.tokens
def str(self):
# represent rasp operator in string form
# expects arguments to be strings
return "tokens"
class Indices:
def __init__(self):
self.n_args = 0
self.arg_types = []
self.return_type = rasp.SOp
self.weight = 1
def to_python(self):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.indices
def str(self):
# represent rasp operator in string form
# expects arguments to be strings
return "indices"
class Zero:
def __init__(self):
self.n_args = 0
self.arg_types = []
self.return_type = int
self.weight = 1
def to_python(self):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return 0
def str(self):
# represent rasp operator in string form
# expects arguments to be strings
return "0"
class One:
def __init__(self):
self.n_args = 0
self.arg_types = []
self.return_type = int
self.weight = 1
def to_python(self):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return 1
def str(self):
# represent rasp operator in string form
# expects arguments to be strings
return "1"
class Equal:
'''
Comparison Equal constant.
'''
def __init__(self):
self.n_args = 0
self.arg_types = []
self.return_type = rasp.Predicate
self.weight = 1
def to_python(self):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.Comparison.EQ
def str(self):
# represent rasp operator in string form
# expects arguments to be strings
return "=="
class GT:
'''
Greater Than comparison operator.
'''
pass
class LT:
'''
Less Than comparison operator
'''
pass
class LEQ:
pass
class GEQ:
pass
class TRUE:
'''
Comparison True constant.
'''
def __init__(self):
self.n_args = 0
self.arg_types = []
self.return_type = rasp.Predicate
self.weight = 1
def to_python(self):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.Comparison.TRUE
def str(self):
# represent rasp operator in string form
# expects arguments to be strings
return "true"
class FALSE:
pass
class Add:
'''
Element-wise.
Input can be either int, float or s-op.
'''
pass
class Subtract:
'''
Element-wise.
Input can be either int, float or s-op.
'''
def __init__(self):
self.n_args = 2
self.arg_types = [Union[rasp.SOp, float, int], Union[rasp.SOp, float, int]]
self.return_type = Union[rasp.SOp, int, float]
self.weight = 1
def to_python(self, x, y):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
if type(x) == type(rasp.tokens):
return None
if type(y) == type(rasp.tokens):
return None
return x - y
def str(self, x, y):
# represent rasp operator in string form
# expects arguments to be strings
return f"{x} - {y}"
class Mult:
'''
Element-wise.
Input can be either int, float or s-op.
'''
pass
class Divide:
'''
Element-wise.
Input can be either int, float or s-op.
'''
pass
class Fill:
'''
Given fill value and length, returns Sop of that length with that fill value.
Fill value can be int, float, or char.
Length must be a positive integer.
'''
pass
class SelectorAnd:
'''
Input can be bool or s-op.
'''
pass
class SelectorOr:
'''
Input can be bool or s-op.
'''
pass
class SelectorNot:
'''
Input is an s-op of bools. (Or bool-convertible values.)
'''
pass
class Select:
'''
Select operator.
'''
def __init__(self):
self.n_args = 3
self.arg_types = [rasp.SOp, rasp.SOp, rasp.Predicate]
self.return_type = rasp.Selector
self.weight = 1
def to_python(self, sop1, sop2, comp):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.Select(sop1, sop2, comp)
def str(self, sop1, sop2, comp):
# represent rasp operator in string form
# expects arguments to be strings
return f"select({sop1}, {sop2}, {comp})"
class Aggregate:
'''
The Aggregate operator.
'''
def __init__(self):
self.n_args = 2
self.arg_types = [rasp.Selector, rasp.SOp]
self.return_type = rasp.SOp
self.weight = 1
def to_python(self, sel, sop):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.Aggregate(sel, sop)
def str(self, sel, sop):
# represent rasp operator in string form
# expects arguments to be strings
return f"aggregate({sel}, {sop})"
class SelectorWidth:
'''
The selector_width operator.
'''
def __init__(self):
self.n_args = 1
self.arg_types = [rasp.Selector]
self.return_type = rasp.SOp
self.weight = 1
def to_python(self, sel):
# return an object that can be compiled into a TRACR transformer
# arguments should be python objects
return rasp.SelectorWidth(sel)
def str(self, sel):
# represent rasp operator in string form
# expects arguments to be strings
return f"select_width({sel})"
'''
GLOBAL CONSTANTS
'''
# define operators
rasp_operators = [Select(), SelectorWidth(), Aggregate(), Subtract()]
rasp_consts = [Tokens(), Tokens(), Equal(), TRUE(), Indices(), Indices(), Zero(), One()]
'''
TESTING
'''
if __name__ == "__main__":
test_select = Select()
test_select_python = test_select.to_python(Tokens().to_python(), Tokens().to_python(), Equal().to_python())
actual_ts_python = rasp.Select(rasp.tokens, rasp.tokens, rasp.Comparison.EQ)
assert type(Tokens().to_python()) == type(rasp.tokens)
assert type(Equal().to_python() == type(rasp.Comparison.EQ))
assert type(test_select_python) == type(actual_ts_python)
test_select_string = test_select.str(Tokens().str(), Tokens().str(), Equal().str())
actual_ts_string = "select(tokens, tokens, ==)"
assert(test_select_string == actual_ts_string)
test_aggregate = Aggregate()
print(rasp.Aggregate(rasp.Select(rasp.tokens, rasp.tokens, rasp.Comparison.EQ), rasp.tokens)("hi"))
print("all tests passed hooray!")
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