| /dports/devel/py-numba/numba-0.51.2/numba/tests/ |
| H A D | test_mathlib.py | 185 for tx, vx in zip(x_types, x_values):
197 for ty, x, y in zip(x_types, x_values, y_values):
214 self.run_unary(pyfunc, x_types, x_values, flags)
222 self.run_unary(pyfunc, x_types, x_values, flags)
235 self.run_unary(pyfunc, x_types, x_values, flags)
266 x_types = [types.int16, types.uint16]
268 x_types = [types.int32, types.int64,
495 x_types = [types.int64, types.uint64,
573 x_types = [types.float64] * len(x_values)
621 x_types, x_values, y_values = list(zip(
[all …]
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| H A D | test_numberctor.py | 65 x_types = [
70 for ty, x in zip(x_types, x_values):
84 x_types = [
89 for ty, x in zip(x_types, x_values):
98 x_types = [
104 for ty, x in zip(x_types, x_values):
127 x_types = [
133 for ty, x, y in zip(x_types, x_values, y_values):
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| H A D | test_np_functions.py | 355 for tx, vx in zip(x_types, x_values):
406 def check(x_types, x_values, **kwargs): argument
414 check(x_types, x_values)
419 check(x_types, x_values)
428 check(x_types, x_values, ulps=2)
433 check(x_types, x_values, ulps=2)
443 def check(x_types, x_values): argument
456 check(x_types, x_values)
461 check(x_types, x_values)
467 check(x_types, x_values)
[all …]
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| H A D | test_complex.py | 39 def run_unary(self, pyfunc, x_types, x_values, ulps=1, abs_tol=None, argument
41 for tx in x_types:
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| /dports/math/R-cran-sf/sf/R/ |
| H A D | collection_extract.R | 87 x_types = x[which(matches)] functionVar
88 if (length(x_types) == 0L) {
92 } else if (length(x_types) == 1L) {
94 return(x_types[[1]])
98 return(st_cast(st_sfc(x_types), warn = warn))
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/ |
| H A D | ProbabilityTransformModel.hpp | 340 const ShortArray& x_types = x_dist.random_variable_types(); in nonlinear_variables_mapping() local
342 size_t i, num_types = std::min(x_types.size(), u_types.size()); in nonlinear_variables_mapping()
348 nln_vars_map = (x_types[i] != Pecos::NORMAL); break; in nonlinear_variables_mapping()
350 switch (x_types[i]) { in nonlinear_variables_mapping()
358 nln_vars_map = (x_types[i] != Pecos::EXPONENTIAL); break; in nonlinear_variables_mapping()
359 case Pecos::STD_BETA: nln_vars_map = (x_types[i] != Pecos::BETA); break; in nonlinear_variables_mapping()
360 case Pecos::STD_GAMMA: nln_vars_map = (x_types[i] != Pecos::GAMMA); break; in nonlinear_variables_mapping()
361 default: nln_vars_map = (x_types[i] != u_types[i]); break; in nonlinear_variables_mapping()
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| H A D | ProbabilityTransformModel.cpp | 433 const Pecos::ShortArray& x_types = x_dist.random_variable_types(); in initialize_distribution_types() local
435 size_t i, num_rv = x_types.size(); in initialize_distribution_types()
443 switch (x_types[i]) { in initialize_distribution_types()
463 switch (x_types[i]) { in initialize_distribution_types()
480 switch (x_types[i]) { in initialize_distribution_types()
501 switch (x_types[i]) { in initialize_distribution_types()
508 default: u_types[i] = x_types[i]; break; in initialize_distribution_types()
513 u_types[i] = x_types[i]; in initialize_distribution_types()
533 const Pecos::ShortArray& x_types = x_dist.random_variable_types(); in verify_correlation_support() local
537 size_t i, j, corr_i, corr_j, num_rv = x_types.size(); in verify_correlation_support()
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| /dports/devel/p5-Perl-PrereqScanner-NotQuiteLite/Perl-PrereqScanner-NotQuiteLite-0.9914/lib/Perl/PrereqScanner/NotQuiteLite/Util/ |
| H A D | CPANfile.pm | 99 my @x_types = sort grep {/^x_/i} keys %{$prereqs->{$phase}}; # TWEAKED
100 for my $type (qw(requires recommends suggests conflicts), @x_types) {
|