From cf125931726d851def3060fa26b427980be7ca9a Mon Sep 17 00:00:00 2001 From: "renovate[bot]" <29139614+renovate[bot]@users.noreply.github.com> Date: Fri, 5 May 2023 16:53:35 +0000 Subject: [PATCH 1/5] fix(deps): update dependency statsmodels to ^0.14.0 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 83a4a09..5065e82 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,7 +10,7 @@ keywords = ["sample size", "experimentation", "power analysis"] [tool.poetry.dependencies] python = ">=3.7.1,<3.11" -statsmodels = "^0.13.1" +statsmodels = "^0.14.0" jsonschema = "^4.5.1" [tool.poetry.dev-dependencies] From 5cbc429813d882a632d9d899adb92dd4ae03aa1a Mon Sep 17 00:00:00 2001 From: Xinyu Zou Date: Wed, 10 May 2023 11:41:52 -0700 Subject: [PATCH 2/5] Update poetry.lock --- poetry.lock | 539 ++++++++++++++++++++++++++++++++-------------------- 1 file changed, 332 insertions(+), 207 deletions(-) diff --git a/poetry.lock b/poetry.lock index fa3b339..85f01a3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,34 +1,26 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. - -[[package]] -name = "atomicwrites" -version = "1.4.0" -description = "Atomic file writes." -category = "dev" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -files = [ - {file = "atomicwrites-1.4.0-py2.py3-none-any.whl", hash = "sha256:6d1784dea7c0c8d4a5172b6c620f40b6e4cbfdf96d783691f2e1302a7b88e197"}, - {file = "atomicwrites-1.4.0.tar.gz", hash = "sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a"}, -] +# This file is automatically @generated by Poetry and should not be changed by hand. 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"pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" -python-versions = ">=3.7.1,<3.11" -content-hash = "3483c615a3d8807db255850657955e1ac211cba4678226dda3d7dc118ef666d1" +python-versions = ">=3.8,<3.11" +content-hash = "d88e512620e4d0c3b06995d1d5333e8a2ee6a9f1fe61aca10401800fba7d3297" diff --git a/pyproject.toml b/pyproject.toml index 6923af9..2fda709 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,8 +9,8 @@ maintainers = ["GoDaddy "] keywords = ["sample size", "experimentation", "power analysis"] [tool.poetry.dependencies] -python = ">=3.7.1,<3.11" -statsmodels = "~0.13.1" +python = ">=3.8,<3.11" +statsmodels = "^0.14.0" jsonschema = "^4.5.1" [tool.poetry.dev-dependencies] diff --git a/sample_size/metrics.py b/sample_size/metrics.py index 9f7e124..af9b30b 100644 --- a/sample_size/metrics.py +++ b/sample_size/metrics.py @@ -104,7 +104,7 @@ def _generate_alt_p_values( z_alt = stats.norm.rvs(loc=effect_size, size=size, random_state=random_state) p_values: npt.NDArray[np.float_] = stats.norm.sf(np.abs(z_alt)) if self.alternative == "two-sided": - p_values *= 2 + return 2 * p_values return p_values @@ -136,7 +136,7 @@ def _generate_alt_p_values( p_values: npt.NDArray[np.float_] = stats.t.sf(np.abs(t_alt), 2 * (sample_size - 1)) # Todo: use accurate p-value calculation due to nct's asymmetric distribution if self.alternative == "two-sided": - p_values *= 2 + return 2 * p_values return p_values @@ -186,5 +186,5 @@ def _generate_alt_p_values( z_alt = stats.norm.rvs(loc=effect_size, size=size, random_state=random_state) p_values: npt.NDArray[np.float_] = stats.norm.sf(np.abs(z_alt)) if self.alternative == "two-sided": - p_values *= 2 + return 2 * p_values return p_values diff --git a/sample_size/multiple_testing.py b/sample_size/multiple_testing.py index 24aae91..51cbfda 100644 --- a/sample_size/multiple_testing.py +++ b/sample_size/multiple_testing.py @@ -101,7 +101,7 @@ def fdr_bh(a: npt.NDArray[np.float_]) -> npt.NDArray[np.bool_]: for i, m in enumerate(metrics): p_values.append(m.generate_p_values(true_alt[i], sample_size, random_state)) - rejected = np.apply_along_axis(fdr_bh, 0, np.array(p_values)) # type: ignore[no-untyped-call] + rejected = np.apply_along_axis(fdr_bh, 0, np.array(p_values)) true_discoveries = rejected & true_alt diff --git a/tests/sample_size/test_metrics.py b/tests/sample_size/test_metrics.py index 1c5c23d..6226e5d 100644 --- a/tests/sample_size/test_metrics.py +++ b/tests/sample_size/test_metrics.py @@ -124,7 +124,7 @@ def test_boolean_metric_get_probability_too_small(self): @patch("scipy.stats.norm") def test_boolean__generate_alt_p_values(self, size, sample_size, alternative, mock_norm, mock_variance): p_value_generator = mock_norm.sf - p_values = MagicMock() + p_values = ["🏝️", "🏜️", "🌋"] mock_norm.rvs.return_value = -ord("🌮") p_value_generator.return_value = p_values mock_variance.__get__ = MagicMock(return_value=self.DEFAULT_MOCK_VARIANCE) @@ -159,7 +159,7 @@ def test_numeric_metric_constructor_sets_params(self): @patch("scipy.stats.t") def test_numeric__generate_alt_p_values(self, size, sample_size, alternative, mock_t, mock_nct, mock_variance): p_value_generator = mock_t.sf - p_values = MagicMock() + p_values = ["🏝️", "🏜️", "🌋"] mock_nct.rvs.return_value = -ord("🌮") p_value_generator.return_value = p_values mock_variance.__get__ = MagicMock(return_value=self.DEFAULT_VARIANCE) @@ -226,7 +226,7 @@ def test_ratio_metric_variance(self): @patch("scipy.stats.norm") def test_ratio__generate_alt_p_values(self, size, sample_size, alternative, mock_norm, mock_variance): p_value_generator = mock_norm.sf - p_values = MagicMock() + p_values = ["🏝️", "🏜️", "🌋"] mock_norm.rvs.return_value = -ord("🌮") p_value_generator.return_value = p_values mock_variance.__get__ = MagicMock(return_value=self.DEFAULT_VARIANCE) @@ -238,7 +238,7 @@ def test_ratio__generate_alt_p_values(self, size, sample_size, alternative, mock self.DEFAULT_DENOMINATOR_VARIANCE, self.DEFAULT_COVARIANCE, self.DEFAULT_MDE, - self.DEFAULT_ALTERNATIVE, + alternative, ) p = metric._generate_alt_p_values(size, sample_size, RANDOM_STATE) From e82e142f2262dbe1d559545c438aaaf961422ea7 Mon Sep 17 00:00:00 2001 From: vjohnson1-godaddy Date: Wed, 26 Jul 2023 12:18:35 -0700 Subject: [PATCH 5/5] remove 3.7 from ci tests --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 88f0b24..69cd263 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -13,7 +13,7 @@ jobs: fail-fast: false matrix: os: [ubuntu-latest, windows-latest, macos-latest] - python-version: ['3.7', '3.8', '3.9', '3.10'] + python-version: ['3.8', '3.9', '3.10'] include: - os: ubuntu-latest - os: windows-latest