Nearly there maybe, maybe not.
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@ -54,6 +54,7 @@ from .utils.types import (
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infer,
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JoyTypeError,
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combinator_effect,
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poly_combinator_effect,
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)
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@ -926,7 +927,7 @@ def x(stack, expression, dictionary):
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@inscribe
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#@combinator_effect(_COMB_NUMS(), s7, s6)
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@combinator_effect(_COMB_NUMS(), s7, s6)
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@FunctionWrapper
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def b(stack, expression, dictionary):
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'''
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@ -943,6 +944,7 @@ def b(stack, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a1, s1)
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@FunctionWrapper
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def dupdip(stack, expression, dictionary):
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'''
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@ -962,7 +964,7 @@ def dupdip(stack, expression, dictionary):
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@inscribe
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#@combinator_effect(_COMB_NUMS(), s7, s6)
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@combinator_effect(_COMB_NUMS(), s7, s6)
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@FunctionWrapper
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def infra(stack, expression, dictionary):
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'''
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@ -980,6 +982,7 @@ def infra(stack, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), s7, s6, s5, s4)
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@FunctionWrapper
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def genrec(stack, expression, dictionary):
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'''
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@ -1041,6 +1044,7 @@ def genrec(stack, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), s7, s6)
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@FunctionWrapper
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def map_(S, expression, dictionary):
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'''
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@ -1078,7 +1082,18 @@ def map_(S, expression, dictionary):
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# return (q, (p, stack)), expression, dictionary
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def branch_true(stack, expression, dictionary):
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(then, (else_, (flag, stack))) = stack
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return stack, concat(then, expression), dictionary
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def branch_false(stack, expression, dictionary):
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(then, (else_, (flag, stack))) = stack
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return stack, concat(else_, expression), dictionary
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@inscribe
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@poly_combinator_effect(_COMB_NUMS(), [branch_true, branch_false], b1, s7, s6)
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@FunctionWrapper
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def branch(stack, expression, dictionary):
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'''
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@ -1103,6 +1118,9 @@ def branch(stack, expression, dictionary):
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return stack, concat(then if flag else else_, expression), dictionary
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#FUNCTIONS['branch'] = CombinatorJoyType('branch', [branch_true, branch_false], 100)
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##@inscribe
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##@FunctionWrapper
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##def ifte(stack, expression, dictionary):
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@ -1192,6 +1210,7 @@ def dip(stack, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a2, a1, s1)
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@FunctionWrapper
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def dipd(S, expression, dictionary):
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'''
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@ -1209,6 +1228,7 @@ def dipd(S, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a3, a2, a1, s1)
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@FunctionWrapper
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def dipdd(S, expression, dictionary):
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'''
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@ -1226,6 +1246,7 @@ def dipdd(S, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a1, s1)
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@FunctionWrapper
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def app1(S, expression, dictionary):
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'''
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@ -1245,6 +1266,7 @@ def app1(S, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a2, a1, s1)
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@FunctionWrapper
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def app2(S, expression, dictionary):
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'''Like app1 with two items.
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@ -1265,6 +1287,7 @@ def app2(S, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a3, a2, a1, s1)
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@FunctionWrapper
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def app3(S, expression, dictionary):
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'''Like app1 with three items.
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@ -1287,6 +1310,7 @@ def app3(S, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), s7, s6)
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@FunctionWrapper
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def step(S, expression, dictionary):
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'''
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@ -1322,6 +1346,7 @@ def step(S, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), i1, s6)
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@FunctionWrapper
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def times(stack, expression, dictionary):
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'''
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@ -1371,6 +1396,7 @@ def times(stack, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), b1, s6)
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@FunctionWrapper
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def loop(stack, expression, dictionary):
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'''
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@ -1393,6 +1419,7 @@ def loop(stack, expression, dictionary):
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@inscribe
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@combinator_effect(_COMB_NUMS(), a1, a2, s6, s7, s8)
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@FunctionWrapper
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def cmp_(stack, expression, dictionary):
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'''
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@ -17,32 +17,12 @@ from joy.utils.stack import (
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expression_to_string,
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list_to_stack,
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)
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# from joy.utils.types import (
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# AnyJoyType, A,
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# BooleanJoyType, B,
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# DEFS,
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# doc_from_stack_effect,
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# FloatJoyType, F,
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# JoyTypeError,
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# NumberJoyType, N,
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# StackJoyType, S,
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# _stacky,
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# _R,
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# relabel, delabel,
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# reify,
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# )
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'''Docstring for functions in Sphinx?'''
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def defs():
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'''
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Return a dict of FunctionJoyType instances to be used with ``infer()``.
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'''
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average = sum_ = product = min_ = max_ = [(((Ns[1], s1), s0), (n0, s0))]
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flatten = [(((Ss[1], s1), s0), (s2, s0))]
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average =
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# sum_ =
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# product =
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# min_ = max_ = [(((Ns[1], s1), s0), (n0, s0))]
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# flatten = [(((Ss[1], s1), s0), (s2, s0))]
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return {
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name.rstrip('_'): stack_effect
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@ -57,21 +37,7 @@ FUNCTIONS.update({
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FUNCTIONS.update({
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combo.__name__: CombinatorJoyType(combo.__name__, [combo], i)
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for i, combo in enumerate((
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joy.library.b,
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joy.library.concat_,
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joy.library.dip,
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joy.library.dipd,
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joy.library.dipdd,
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joy.library.dupdip,
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joy.library.i,
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joy.library.infra,
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joy.library._dictionary['nullary'],
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joy.library._dictionary['unary'],
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joy.library._dictionary['binary'],
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joy.library._dictionary['ternary'],
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joy.library._dictionary['quoted'],
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joy.library._dictionary['unquoted'],
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joy.library._dictionary['enstacken'],
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joy.library._dictionary['disenstacken'],
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joy.library.x,
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))
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@ -121,19 +87,20 @@ def set_expectations_of_definition(cjt):
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def set_expectations():
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branch.expect = s7, (s6, (b1, s5))
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loop.expect = s6, (b1, s5)
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i.expect = nullary.expect = x.expect = s7, s6
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dip.expect = dupdip.expect = s8, (a8, s7)
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dipd.expect = s8, (a8, (a7, s7))
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dipdd.expect = s8, (a8, (a7, (a6, s7)))
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b.expect = concat_.expect = infra.expect = s8, (s7, s6)
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set_expectations_of_definition(unary)
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set_expectations_of_definition(binary)
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set_expectations_of_definition(ternary)
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set_expectations_of_definition(quoted)
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set_expectations_of_definition(unquoted)
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set_expectations_of_definition(enstacken)
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# i.expect = nullary.expect = x.expect = s7, s6
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# dip.expect = dupdip.expect = s8, (a8, s7)
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# dipd.expect = s8, (a8, (a7, s7))
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# dipdd.expect = s8, (a8, (a7, (a6, s7)))
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concat_.expect = s8, (s7, s6)
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# b.expect = infra.expect = s8, (s7, s6)
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# set_expectations_of_definition(unary)
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# set_expectations_of_definition(binary)
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# set_expectations_of_definition(ternary)
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# set_expectations_of_definition(quoted)
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# set_expectations_of_definition(unquoted)
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# set_expectations_of_definition(enstacken)
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disenstacken.expect = (As[1], s1), s0
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scope = globals().copy()
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scope.update(FUNCTIONS)
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@ -665,11 +665,12 @@ def ef(*inputs):
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def combinator_effect(number, *expect):
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def _combinator_effect(c):
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C = FUNCTIONS[c.name] = CombinatorJoyType(c.name, [c], number)
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if expect: C.expect = __(*expect)
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return c
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return _combinator_effect
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def _combinator_effect(c):
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e = __(*expect) if expect else None
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C = FUNCTIONS[c.name] = CombinatorJoyType(c.name, [c], number, e)
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if expect: C.expect = __(*expect)
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return c
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return _combinator_effect
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def show(DEFS):
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@ -693,3 +694,13 @@ def generate_library_code(DEFS, f=None):
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##if __name__ == '__main__':
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## show()
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def poly_combinator_effect(number, effect_funcs, *expect):
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def _poly_combinator_effect(c):
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e = __(*expect) if expect else None
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FUNCTIONS[c.name] = CombinatorJoyType(c.name, effect_funcs, number, e)
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return c
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return _poly_combinator_effect
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#FUNCTIONS['branch'].expect = s7, (s6, (b1, s5))
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