def collect(value, sample_args, context=None):
"""Collect terms in an unsimplified polynomial."""
is_question = context is None
if context is None:
context = composition.Context()
entropy, sample_args = sample_args.peel()
if value is None:
entropy_value, entropy = entropy * np.random.dirichlet([2, 3])
degrees = [random.randint(1, 3)]
value = composition.Polynomial(
polynomials.sample_coefficients(degrees, entropy_value))
assert isinstance(value, composition.Polynomial)
coefficients = value.coefficients
all_coefficients_are_integer = True
for coeff in coefficients.flat:
if not number.is_integer(coeff):
all_coefficients_are_integer = False
break
if all_coefficients_are_integer:
coefficients = polynomials.expand_coefficients(coefficients, entropy)
else:
# put back the unused entropy
sample_args = composition.SampleArgs(sample_args.num_modules,
sample_args.entropy + entropy)
num_variables = coefficients.ndim
variables = [sympy.Symbol(context.pop()) for _ in range(num_variables)]
unsimplified = polynomials.coefficients_to_polynomial(
coefficients, variables)
simplified = unsimplified.sympy().expand()
# Bit of a hack: handle the very rare case where no number constants appearing
if not ops.number_constants(unsimplified):
unsimplified = ops.Add(unsimplified, ops.Constant(0))
context.sample_by_replacing_constants(sample_args, unsimplified)
if is_question:
template = 'Sederhanakan {unsimplified}.'
return example.Problem(question=example.question(
context, template, unsimplified=unsimplified),
answer=simplified)
else:
function_symbol = context.pop()
function = sympy.Function(function_symbol)(*variables)
return composition.Entity(
context=context,
value=value,
handle=composition.FunctionHandle(function_symbol),
expression=unsimplified,
polynomial_variables=variables,
description='Misalkan {function} = {unsimplified}.',
function=function,
unsimplified=unsimplified)
def _value_sampler(value):
"""Returns sampler (e.g., number.integer) appropriate for `value`."""
if value == _INT or number.is_integer(value):
return functools.partial(number.integer, signed=True)
if value == _INT_OR_RATIONAL or isinstance(value, sympy.Rational):
return functools.partial(number.integer_or_rational, signed=True)
if isinstance(value, display.Decimal):
return functools.partial(number.integer_or_decimal, signed=True)
raise ValueError('Unrecognized value {} of type {}'
.format(value, type(value)))
def integers_with_sum(value, count, entropy):
"""Returns list of integers with a given sum.
Args:
value: Target value.
count: Integer >= 1; the number of integers to use.
entropy: Entropy to use (in total).
Returns:
List of numbers summing to `value`.
Raises:
ValueError: If `value` is not an integer.
"""
# Special cases.
if count == 0:
assert value == 0
assert entropy == 0
return []
if count == 1:
assert entropy == 0
return [value]
if not number.is_integer(value):
raise ValueError('value={} (type={}) is not an integer'
.format(value, type(value)))
# Because e.g., (1, 1) and (2, 2) will both map to the same set of integers
# when we normalize to have sum equal to `value`.
entropy *= count / (count - 1)
min_term_entropy = max(
1, number.entropy_of_value(int(math.ceil(value/count))))
term_entropies = entropy * np.random.dirichlet(np.ones(count))
term_entropies = np.maximum(min_term_entropy, term_entropies)
terms = [number.integer(term_entropy, signed=True)
for term_entropy in term_entropies]
delta = value - sum(terms)
deltas = _split_value_equally(delta, count)
terms = [term + delta for term, delta in zip(terms, deltas)]
random.shuffle(terms)
return terms
def is_integer_polynomial(value):
if not is_polynomial(value):
return False
coefficients = np.reshape(value.coefficients, [-1])
return all(number.is_integer(coeff) for coeff in coefficients)
def sample(self, sample_args, values):
"""Sample multiple entities.
Args:
sample_args: Instance of `SampleArgs`. The min and max entropy
and module count will be split up betwene the various entities
sampled.
values: List of values to sample.
Returns:
List of `Entity` of the same length as `types`.
Raises:
RuntimeError: If one of the modules generates a non-`Entity`.
"""
# Can only sample children once.
assert self._module_count == 1
assert not self._child_symbols
assert not self._child_entities
if isinstance(sample_args, PreSampleArgs):
sample_args = sample_args()
sample_args_split = sample_args.split(len(values))
def all_symbols():
return (self._relation_symbols
.union(self._self_symbols)
.union(self._child_symbols))
for value, child_sample_args in zip(values, sample_args_split):
if number.is_integer(value):
value = sympy.Integer(value)
all_symbols_ = all_symbols()
context = Context(all_symbols_)
if child_sample_args.num_modules == 0:
entity = self._value_entity(value, context)
else:
sampler = self._sampler(value, child_sample_args)
entity = sampler(value, child_sample_args, context)
if not isinstance(entity, Entity):
raise RuntimeError(
'Expected entity, but got {} instead'.format(entity))
if (not number.is_integer_or_rational_or_decimal(entity.value)
and not isinstance(entity.value, Polynomial)):
raise RuntimeError('sampler {} returned invalid value of type {}'
.format(sampler, type(entity.value)))
if ((number.is_integer_or_rational_or_decimal(value)
and entity.value != value)
or (isinstance(value, Polynomial) and not np.array_equal(
entity.value.coefficients, value.coefficients))):
raise RuntimeError(
'entity values differ, sampler={} wanted={} got={}'
.format(sampler, value, entity.value))
if child_sample_args.num_modules != context.module_count:
raise RuntimeError(
'unused modules, value={} sample_args={} context.module_count={},'
' sampler={}'
.format(value, child_sample_args, context.module_count, sampler))
self._module_count += context.module_count
self._child_entities.append(entity)
for symbol in context.self_symbols.union(context.child_symbols):
assert symbol not in all_symbols_
self._child_symbols.add(symbol)
return self._child_entities
def round_number(value, sample_args, context=None):
"""Question for rounding integers and decimals."""
del value # unused for now
if context is None:
context = composition.Context()
entropy, sample_args = sample_args.peel()
# This is the power of 10 to round to. E.g., power == 0 corresponds to
# rounding to the nearest integer; power == -2 corresponds to rounding to two
# decimal places, and power == 3 corresponds to rounding to the nearest 1000.
power = random.randint(-7, 6)
answer_entropy = 1 + random.uniform(0, entropy / 2)
entropy = max(1, entropy - answer_entropy)
value_integer = number.integer(answer_entropy, signed=True)
remainder_divisor = 10**int(math.ceil(entropy))
remainder_range_lower = -remainder_divisor / 2
remainder_range_upper = remainder_divisor / 2
if value_integer <= 0:
remainder_range_lower += 1
if value_integer >= 0:
remainder_range_upper -= 1
remainder = random.randint(remainder_range_lower, remainder_range_upper)
input_ = value_integer + sympy.Rational(remainder, remainder_divisor)
scale = 10**power if power >= 0 else sympy.Rational(1, 10**(-power))
input_ = input_ * scale
value = value_integer * scale
if not number.is_integer(input_):
input_ = display.Decimal(input_)
if not number.is_integer(value):
value = display.Decimal(value)
(input_, ) = context.sample(sample_args, [input_])
if power > 0:
# Rounding to a power of ten.
round_to = 10**power
if random.choice([False, True]):
# Write the rounding value as a word instead.
round_to = display.StringNumber(
round_to, join_number_words_with_hyphens=False)
description = 'paling dekat {round_to}'.format(round_to=round_to)
elif power == 0 and random.choice([False, True]):
# Round to nearest integer.
description = 'bilangan terdekat'
else:
# Round to decimal places.
description = random.choice(['{dps} desimal'])
if False: # no plural indonesia
# Plural
description += 's'
dps = -power
if random.choice([False, True]):
dps = display.StringNumber(dps)
description = description.format(dps=dps)
template = random.choice([
'Bulatkan {input} ke {description}.',
'Berapakah {input} dibulatkan menjadi {description}?',
])
return example.Problem(question=example.question(context,
template,
input=input_,
description=description),
answer=value)
