about summary refs log tree commit diff
path: root/third_party/abseil_cpp/absl/random/internal/distribution_test_util.h
diff options
context:
space:
mode:
Diffstat (limited to 'third_party/abseil_cpp/absl/random/internal/distribution_test_util.h')
-rw-r--r--third_party/abseil_cpp/absl/random/internal/distribution_test_util.h113
1 files changed, 0 insertions, 113 deletions
diff --git a/third_party/abseil_cpp/absl/random/internal/distribution_test_util.h b/third_party/abseil_cpp/absl/random/internal/distribution_test_util.h
deleted file mode 100644
index 6d94cf6c97..0000000000
--- a/third_party/abseil_cpp/absl/random/internal/distribution_test_util.h
+++ /dev/null
@@ -1,113 +0,0 @@
-// Copyright 2017 The Abseil Authors.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//      https://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#ifndef ABSL_RANDOM_INTERNAL_DISTRIBUTION_TEST_UTIL_H_
-#define ABSL_RANDOM_INTERNAL_DISTRIBUTION_TEST_UTIL_H_
-
-#include <cstddef>
-#include <iostream>
-#include <vector>
-
-#include "absl/strings/string_view.h"
-#include "absl/types/span.h"
-
-// NOTE: The functions in this file are test only, and are should not be used in
-// non-test code.
-
-namespace absl {
-ABSL_NAMESPACE_BEGIN
-namespace random_internal {
-
-// http://webspace.ship.edu/pgmarr/Geo441/Lectures/Lec%205%20-%20Normality%20Testing.pdf
-
-// Compute the 1st to 4th standard moments:
-// mean, variance, skewness, and kurtosis.
-// http://www.itl.nist.gov/div898/handbook/eda/section3/eda35b.htm
-struct DistributionMoments {
-  size_t n = 0;
-  double mean = 0.0;
-  double variance = 0.0;
-  double skewness = 0.0;
-  double kurtosis = 0.0;
-};
-DistributionMoments ComputeDistributionMoments(
-    absl::Span<const double> data_points);
-
-std::ostream& operator<<(std::ostream& os, const DistributionMoments& moments);
-
-// Computes the Z-score for a set of data with the given distribution moments
-// compared against `expected_mean`.
-double ZScore(double expected_mean, const DistributionMoments& moments);
-
-// Returns the probability of success required for a single trial to ensure that
-// after `num_trials` trials, the probability of at least one failure is no more
-// than `p_fail`.
-double RequiredSuccessProbability(double p_fail, int num_trials);
-
-// Computes the maximum distance from the mean tolerable, for Z-Tests that are
-// expected to pass with `acceptance_probability`. Will terminate if the
-// resulting tolerance is zero (due to passing in 0.0 for
-// `acceptance_probability` or rounding errors).
-//
-// For example,
-// MaxErrorTolerance(0.001) = 0.0
-// MaxErrorTolerance(0.5) = ~0.47
-// MaxErrorTolerance(1.0) = inf
-double MaxErrorTolerance(double acceptance_probability);
-
-// Approximation to inverse of the Error Function in double precision.
-// (http://people.maths.ox.ac.uk/gilesm/files/gems_erfinv.pdf)
-double erfinv(double x);
-
-// Beta(p, q) = Gamma(p) * Gamma(q) / Gamma(p+q)
-double beta(double p, double q);
-
-// The inverse of the normal survival function.
-double InverseNormalSurvival(double x);
-
-// Returns whether actual is "near" expected, based on the bound.
-bool Near(absl::string_view msg, double actual, double expected, double bound);
-
-// Implements the incomplete regularized beta function, AS63, BETAIN.
-//    https://www.jstor.org/stable/2346797
-//
-// BetaIncomplete(x, p, q), where
-//   `x` is the value of the upper limit
-//   `p` is beta parameter p, `q` is beta parameter q.
-//
-// NOTE: This is a test-only function which is only accurate to within, at most,
-// 1e-13 of the actual value.
-//
-double BetaIncomplete(double x, double p, double q);
-
-// Implements the inverse of the incomplete regularized beta function, AS109,
-// XINBTA.
-//   https://www.jstor.org/stable/2346798
-//   https://www.jstor.org/stable/2346887
-//
-// BetaIncompleteInv(p, q, beta, alhpa)
-//   `p` is beta parameter p, `q` is beta parameter q.
-//   `alpha` is the value of the lower tail area.
-//
-// NOTE: This is a test-only function and, when successful, is only accurate to
-// within ~1e-6 of the actual value; there are some cases where it diverges from
-// the actual value by much more than that.  The function uses Newton's method,
-// and thus the runtime is highly variable.
-double BetaIncompleteInv(double p, double q, double alpha);
-
-}  // namespace random_internal
-ABSL_NAMESPACE_END
-}  // namespace absl
-
-#endif  // ABSL_RANDOM_INTERNAL_DISTRIBUTION_TEST_UTIL_H_