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report.xml
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report.xml
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<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="0" failures="2" skipped="29" tests="633" time="1842.753" timestamp="2023-09-14T19:32:21.198849" hostname="titan"><properties><property name="hypothesis-statistics-tests/test_base_bootstrap_configs.py::TestBaseTimeSeriesBootstrapConfig::TestPassingCases::test_base_time_series_bootstrap_config" 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classname="tests.test_time_series_simulator.TestARCHModel.TestPassingCases" name="test_simulate_non_ar_process_valid" time="1.775" /><testcase classname="tests.test_time_series_simulator.TestARCHModel.TestFailingCases" name="test_init_invalid_fitted_model" time="0.892" /><testcase classname="tests.test_time_series_simulator.TestARCHModel.TestFailingCases" name="test_init_invalid_X_fitted" time="1.529" /><testcase classname="tests.test_time_series_simulator.TestARCHModel.TestFailingCases" name="test_init_invalid_rng" time="1.771" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_init_ar" time="0.164" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_init_arima" time="0.082" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_init_sarima" time="0.080" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_init_var_arch" time="0.013" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_ar" time="9.935" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_arima" time="13.235" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_sarima" time="25.513" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_var_arch" time="9.934" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_ar_with_exog" time="26.639" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_arima_with_exog" time="26.824" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_sarima_with_exog" time="64.230" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_fit_valid_var_arch_with_exog" time="25.660" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_predict_valid_ar" time="26.164" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_predict_valid_arima" time="35.487" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_predict_valid_sarima" time="46.337" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_predict_valid_var_arch" time="25.274" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_residuals_valid_ar" time="25.903" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_residuals_valid_arima" time="41.476" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_residuals_valid_sarima" time="66.436" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_residuals_valid_var_arch" time="25.767" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_fitted_X_valid_ar" time="26.469" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_fitted_X_valid_arima" time="38.885" /><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_fitted_X_valid_sarima" time="589.182"><failure message="numpy.linalg.LinAlgError: SVD did not converge Falsifying example: test_get_fitted_X_valid_sarima( self=<test_tsfit.TestTSFit.TestPassingCases object at 0x7f63890385e0>, data=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0], order=(1, 0, 0, 2), model_type='sarima', exog=[[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1125369292536007e-308]], )">self = <test_tsfit.TestTSFit.TestPassingCases object at 0x7f63890385e0>
@settings(deadline=None)
> @given(
data=test_data,
order=sarima_order_strategy,
model_type=just("sarima"),
exog=exog_strategy,
)
tests/test_tsfit.py:537:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/core.py:1044: in _raise_to_user
raise the_error_hypothesis_found
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/core.py:790: in execute_once
result = self.test_runner(data, run)
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/executors.py:47: in default_new_style_executor
return function(data)
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/core.py:786: in run
return test(*args, **kwargs)
tests/test_tsfit.py:550: in test_get_fitted_X_valid_sarima
fitted_model = tsfit.fit(data, exog=exog)
src/tsbootstrap/tsfit.py:366: in fit
self.model = fit_func.fit(order=self.order, **self.model_params)
src/tsbootstrap/time_series_model.py:557: in fit
return fitted_models[self.model_type](order, **kwargs)
src/tsbootstrap/time_series_model.py:396: in fit_sarima
return self._fit_with_verbose_handling(fit_logic)
src/tsbootstrap/time_series_model.py:148: in _fit_with_verbose_handling
return fit_function()
src/tsbootstrap/time_series_model.py:393: in fit_logic
model_fit = model.fit(disp=-1)
.venv/lib/python3.10/site-packages/statsmodels/tsa/statespace/mlemodel.py:650: in fit
start_params = self.start_params
.venv/lib/python3.10/site-packages/statsmodels/tsa/statespace/sarimax.py:953: in start_params
params_variance) = self._conditional_sum_squares(
.venv/lib/python3.10/site-packages/statsmodels/tsa/statespace/sarimax.py:859: in _conditional_sum_squares
params = np.linalg.pinv(X).dot(Y)
<__array_function__ internals>:200: in pinv
???
.venv/lib/python3.10/site-packages/numpy/linalg/linalg.py:1983: in pinv
u, s, vt = svd(a, full_matrices=False, hermitian=hermitian)
<__array_function__ internals>:200: in svd
???
.venv/lib/python3.10/site-packages/numpy/linalg/linalg.py:1642: in svd
u, s, vh = gufunc(a, signature=signature, extobj=extobj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
err = 'invalid value', flag = 8
def _raise_linalgerror_svd_nonconvergence(err, flag):
> raise LinAlgError("SVD did not converge")
E numpy.linalg.LinAlgError: SVD did not converge
E Falsifying example: test_get_fitted_X_valid_sarima(
E self=<test_tsfit.TestTSFit.TestPassingCases object at 0x7f63890385e0>,
E data=[1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 1.0,
E 2.0],
E order=(1, 0, 0, 2),
E model_type='sarima',
E exog=[[0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 0.0],
E [0.0, 1.1125369292536007e-308]],
E )
.venv/lib/python3.10/site-packages/numpy/linalg/linalg.py:98: LinAlgError</failure></testcase><testcase classname="tests.test_tsfit.TestTSFit.TestPassingCases" name="test_get_fitted_X_valid_var_arch" time="19.054" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_data" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_predict_without_fit" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_accessor_methods_without_fit" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_order" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_model_type" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_predict_invalid_n_steps" time="0.003" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_predict_invalid_exog" time="0.005" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_exog" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_data_type" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_data_shape" time="0.001" /><testcase classname="tests.test_tsfit.TestTSFit.TestFailingCases" name="test_tsfit_fit_invalid_data_shape_with_exog" time="0.001" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_single_positive_integer" time="0.139" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_list_of_positive_integers" time="0.315" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_numpy_array_of_positive_integers" time="0.271" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_mixed_valid_positive_inputs" time="0.704" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_maximum_integer" time="0.001" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_minimum_integer" time="0.001" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_single_non_positive_integer" time="0.129" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_list_of_non_positive_integers" time="0.304" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_numpy_array_of_non_positive_integers" time="0.303" /><testcase classname="tests.test_validate.TestValidateIntegers.TestPassingCases" name="test_mixed_valid_inputs" time="0.647" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_single_non_positive_integer" time="0.121" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_list_of_non_positive_integers" time="0.334" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_numpy_array_of_non_positive_integers" time="0.341" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_numpy_2d_array" time="0.412" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_numpy_array_of_floats" time="0.325" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_invalid_input_type" time="0.140" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_list_with_invalid_element_type" time="0.339" /><testcase classname="tests.test_validate.TestValidateIntegers.TestFailingCases" name="test_numpy_array_with_invalid_element_type" time="0.568"><failure message="hypothesis.errors.Flaky: Hypothesis test_numpy_array_with_invalid_element_type(self=<test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>, arr=array([-2.00001000e+000, 2.22507386e-313])) produces unreliable results: Falsified on the first call but did not on a subsequent one Falsifying example: test_numpy_array_with_invalid_element_type( self=<test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>, arr=array([-2.00001, 2.2250738585e-313]), ) Unreliable test timings! On an initial run, this test took 292.42ms, which exceeded the deadline of 200.00ms, but on a subsequent run it took 0.14 ms, which did not. If you expect this sort of variability in your test timings, consider turning deadlines off for this test by setting deadline=None.">self = <test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>, arr = array([-2.00001000e+000, 2.22507386e-313])
@given(
> st.lists(
st.floats(allow_nan=False, allow_infinity=False), min_size=1
).map(np.array)
)
tests/test_validate.py:191:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>, array([-2.00001000e+000, 2.22507386e-313])), kwargs = {}
initial_draws = 1, start = 2968310.780965567, result = None, finish = 2968311.073383189, internal_draw_time = 0
runtime = datetime.timedelta(microseconds=292418), current_deadline = datetime.timedelta(microseconds=250000)
@proxies(self.test)
def test(*args, **kwargs):
self.__test_runtime = None
initial_draws = len(data.draw_times)
start = time.perf_counter()
result = self.test(*args, **kwargs)
finish = time.perf_counter()
internal_draw_time = sum(data.draw_times[initial_draws:])
runtime = datetime.timedelta(
seconds=finish - start - internal_draw_time
)
self.__test_runtime = runtime
current_deadline = self.settings.deadline
if not is_final:
current_deadline = (current_deadline // 4) * 5
if runtime >= current_deadline:
> raise DeadlineExceeded(runtime, self.settings.deadline)
E hypothesis.errors.DeadlineExceeded: Test took 292.42ms, which exceeds the deadline of 200.00ms
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/core.py:738: DeadlineExceeded
The above exception was the direct cause of the following exception:
self = <test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>
@given(
> st.lists(
st.floats(allow_nan=False, allow_infinity=False), min_size=1
).map(np.array)
)
tests/test_validate.py:191:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/core.py:1044: in _raise_to_user
raise the_error_hypothesis_found
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <hypothesis.core.StateForActualGivenExecution object at 0x7f637ac14220>, data = ConjectureData(VALID, 31 bytes, frozen)
def execute_once(
self,
data,
*,
print_example=False,
is_final=False,
expected_failure=None,
example_kwargs=None,
):
"""Run the test function once, using ``data`` as input.
If the test raises an exception, it will propagate through to the
caller of this method. Depending on its type, this could represent
an ordinary test failure, or a fatal error, or a control exception.
If this method returns normally, the test might have passed, or
it might have placed ``data`` in an unsuccessful state and then
swallowed the corresponding control exception.
"""
self.ever_executed = True
data.is_find = self.is_find
text_repr = None
if self.settings.deadline is None:
test = self.test
else:
@proxies(self.test)
def test(*args, **kwargs):
self.__test_runtime = None
initial_draws = len(data.draw_times)
start = time.perf_counter()
result = self.test(*args, **kwargs)
finish = time.perf_counter()
internal_draw_time = sum(data.draw_times[initial_draws:])
runtime = datetime.timedelta(
seconds=finish - start - internal_draw_time
)
self.__test_runtime = runtime
current_deadline = self.settings.deadline
if not is_final:
current_deadline = (current_deadline // 4) * 5
if runtime >= current_deadline:
raise DeadlineExceeded(runtime, self.settings.deadline)
return result
def run(data):
# Set up dynamic context needed by a single test run.
with local_settings(self.settings):
with deterministic_PRNG():
with BuildContext(data, is_final=is_final) as context:
if self.stuff.selfy is not None:
data.hypothesis_runner = self.stuff.selfy
# Generate all arguments to the test function.
args = self.stuff.args
kwargs = dict(self.stuff.kwargs)
if example_kwargs is None:
a, kw, argslices = context.prep_args_kwargs_from_strategies(
(), self.stuff.given_kwargs
)
assert not a, "strategies all moved to kwargs by now"
else:
kw = example_kwargs
argslices = {}
kwargs.update(kw)
if expected_failure is not None:
nonlocal text_repr
text_repr = repr_call(test, args, kwargs)
if print_example or current_verbosity() >= Verbosity.verbose:
printer = RepresentationPrinter(context=context)
if print_example:
printer.text("Falsifying example:")
else:
printer.text("Trying example:")
if self.print_given_args:
printer.text(" ")
printer.repr_call(
test.__name__,
args,
kwargs,
force_split=True,
arg_slices=argslices,
leading_comment=(
"# " + context.data.slice_comments[(0, 0)]
if (0, 0) in context.data.slice_comments
else None
),
)
report(printer.getvalue())
return test(*args, **kwargs)
# Run the test function once, via the executor hook.
# In most cases this will delegate straight to `run(data)`.
result = self.test_runner(data, run)
# If a failure was expected, it should have been raised already, so
# instead raise an appropriate diagnostic error.
if expected_failure is not None:
exception, traceback = expected_failure
if (
isinstance(exception, DeadlineExceeded)
and self.__test_runtime is not None
):
report(
"Unreliable test timings! On an initial run, this "
"test took %.2fms, which exceeded the deadline of "
"%.2fms, but on a subsequent run it took %.2f ms, "
"which did not. If you expect this sort of "
"variability in your test timings, consider turning "
"deadlines off for this test by setting deadline=None."
% (
exception.runtime.total_seconds() * 1000,
self.settings.deadline.total_seconds() * 1000,
self.__test_runtime.total_seconds() * 1000,
)
)
else:
report("Failed to reproduce exception. Expected: \n" + traceback)
> raise Flaky(
f"Hypothesis {text_repr} produces unreliable results: "
"Falsified on the first call but did not on a subsequent one"
) from exception
E hypothesis.errors.Flaky: Hypothesis test_numpy_array_with_invalid_element_type(self=<test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>, arr=array([-2.00001000e+000, 2.22507386e-313])) produces unreliable results: Falsified on the first call but did not on a subsequent one
E Falsifying example: test_numpy_array_with_invalid_element_type(
E self=<test_validate.TestValidateIntegers.TestFailingCases object at 0x7f63890c9060>,
E arr=array([-2.00001, 2.2250738585e-313]),
E )
E Unreliable test timings! On an initial run, this test took 292.42ms, which exceeded the deadline of 200.00ms, but on a subsequent run it took 0.14 ms, which did not. If you expect this sort of variability in your test timings, consider turning deadlines off for this test by setting deadline=None.
../ts_bs/.venv/lib/python3.10/site-packages/hypothesis/core.py:815: Flaky</failure></testcase><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_1d_X_no_exog" time="0.377" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_1d_X_1d_exog" time="0.368" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_1d_X_2d_exog" time="0.409" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_2d_X_no_exog_var_model" time="1.450" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_2d_X_1d_exog_var_model" time="1.492" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_2d_X_2d_exog_var_model" time="1.247" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_1d_X_no_exog_arch_model" time="0.376" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_1d_X_1d_exog_arch_model" time="0.381" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestPassingCases" name="test_1d_X_2d_exog_arch_model" time="0.381" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestFailingCases" name="test_error_X_not_1d" time="1.383" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestFailingCases" name="test_error_X_not_2d_or_less_than_2_columns" time="0.386" /><testcase classname="tests.test_validate.TestValidateXAndExog.TestFailingCases" name="test_error_X_2d_with_only_1_column" time="1.268" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestPassingCases" name="test_valid_block_indices" time="0.963" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestFailingCases" name="test_invalid_block_indices" time="0.364" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestFailingCases" name="test_empty_block_indices" time="0.066" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestFailingCases" name="test_indices_beyond_input_length" time="0.897" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestFailingCases" name="test_2d_or_higher_ndarray" time="0.926" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestFailingCases" name="test_noninteger_ndarray" time="0.988" /><testcase classname="tests.test_validate.TestValidateBlockIndices.TestFailingCases" name="test_empty_ndarray" time="0.870" /><testcase classname="tests.test_validate.TestValidateBlocks.TestPassingCases" name="test_valid_blocks" time="4.933" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_nonlist_input" time="0.085" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_empty_blocks" time="0.001" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_nonndarray_blocks" time="0.488" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_non2d_ndarray_blocks" time="1.562" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_no_timestamp_blocks" time="0.556" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_no_feature_blocks" time="1.182" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_diff_feature_blocks" time="0.780" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_nan_blocks" time="0.001" /><testcase classname="tests.test_validate.TestValidateBlocks.TestFailingCases" name="test_infinite_blocks" time="0.001" /><testcase classname="tests.test_validate.TestValidateWeights.TestPassingCases" name="test_valid_weights" time="0.361" /><testcase classname="tests.test_validate.TestValidateWeights.TestPassingCases" name="test_small_weights" time="0.429" /><testcase classname="tests.test_validate.TestValidateWeights.TestPassingCases" name="test_large_weights" time="0.406" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_non_finite_weights" time="0.001" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_negative_weights" time="0.314" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_negative_small_weights" time="0.358" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_complex_weights" time="0.498" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_zero_weights" time="0.003" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_one_dim_zero_weights" time="0.003" /><testcase classname="tests.test_validate.TestValidateWeights.TestFailingCases" name="test_multi_dimensional_weights" time="0.502" /></testsuite></testsuites>