From ae94d634351d314232a4a6474cb01ea4165c619c Mon Sep 17 00:00:00 2001 From: Kourosh Date: Thu, 11 Jun 2026 08:31:56 +0200 Subject: [PATCH 1/3] create a new test set for peaks.py --- .pre-commit-config.yaml | 8 +- tests/test_peaks.py | 365 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 369 insertions(+), 4 deletions(-) create mode 100644 tests/test_peaks.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 0106b70..eabfaa4 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v5.0.0 + rev: v6.0.0 hooks: - id: check-yaml - id: end-of-file-fixer @@ -10,14 +10,14 @@ repos: - repo: https://github.com/astral-sh/uv-pre-commit # uv version. - rev: "0.5.24" + rev: "0.9.4" hooks: # Update the uv lockfile - id: uv-lock - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. - rev: v0.9.3 + rev: v0.14.1 hooks: # Run the linter. - id: ruff @@ -26,7 +26,7 @@ repos: - id: ruff-format - repo: https://github.com/pycqa/flake8 - rev: 7.1.1 # pick a git hash / tag to point to + rev: 7.3.0 # pick a git hash / tag to point to hooks: - id: flake8 args: ["--config=.flake8"] diff --git a/tests/test_peaks.py b/tests/test_peaks.py new file mode 100644 index 0000000..305e8d2 --- /dev/null +++ b/tests/test_peaks.py @@ -0,0 +1,365 @@ +import unittest +import numpy as np +from funcnodes_span.peaks import ( + PeakProperties, + calculate_peak_area, + calculate_peak_symmetricity, +) + + +# ── shared fixture data ─────────────────────────────────────────────────────── + + +def make_gaussian(n=100, center=50, width=10, amplitude=1.0): + """A simple gaussian peak for testing.""" + x = np.linspace(0, 100, n) + y = amplitude * np.exp(-0.5 * ((x - center) / width) ** 2) + return x, y + + +def make_peak(i=30, idx=50, f=70, n=100): + """A PeakProperties with x and y arrays attached.""" + x, y = make_gaussian(n=n) + return PeakProperties(id="test", i_index=i, index=idx, f_index=f, xfull=x, yfull=y) + + +# ── PeakProperties construction ─────────────────────────────────────────────── + + +class TestPeakPropertiesConstruction(unittest.TestCase): + def test_basic_construction(self): + p = PeakProperties(id="p1", i_index=0, index=5, f_index=10) + self.assertEqual(p.id, "p1") + self.assertEqual(p.i_index, 0) + self.assertEqual(p.index, 5) + self.assertEqual(p.f_index, 10) + + def test_negative_indices_raise(self): + # line 26 + with self.assertRaises(ValueError): + PeakProperties(id="p", i_index=-1, index=5, f_index=10) + + def test_index_order_violated_raises(self): + # line 32 — index not between i_index and f_index + with self.assertRaises(ValueError): + PeakProperties(id="p", i_index=0, index=15, f_index=10) + + def test_extra_properties_stored(self): + # lines 46, 56-60 — add_serializable_property and __getattribute__ + p = PeakProperties(id="p", i_index=0, index=5, f_index=10, custom_prop=42) + self.assertEqual(p.custom_prop, 42) + + def test_missing_attribute_raises(self): + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(AttributeError): + _ = p.nonexistent_attribute + + +# ── xfull / yfull setters ───────────────────────────────────────────────────── + + +class TestPeakPropertiesArraySetters(unittest.TestCase): + def test_xfull_already_set_raises(self): + # line 92 + x, y = make_gaussian() + p = PeakProperties(id="p", i_index=30, index=50, f_index=70, xfull=x) + with self.assertRaises(ValueError, msg="The full x-array has already been set"): + p.xfull = x + + def test_yfull_already_set_raises(self): + # line 107 + x, y = make_gaussian() + p = PeakProperties(id="p", i_index=30, index=50, f_index=70, yfull=y) + with self.assertRaises(ValueError, msg="The full y-array has already been set"): + p.yfull = y + + def test_xfull_length_mismatch_raises(self): + # line 94-95 + x, y = make_gaussian(n=100) + p = PeakProperties(id="p", i_index=30, index=50, f_index=70, yfull=y) + with self.assertRaises(ValueError): + p.xfull = np.linspace(0, 100, 50) # wrong length + + def test_yfull_length_mismatch_raises(self): + # line 108 + x, y = make_gaussian(n=100) + p = PeakProperties(id="p", i_index=30, index=50, f_index=70, xfull=x) + with self.assertRaises(ValueError): + p.yfull = np.linspace(0, 1, 50) # wrong length + + def test_xfull_too_short_raises(self): + p = PeakProperties(id="p", i_index=30, index=50, f_index=70) + with self.assertRaises(ValueError): + p.xfull = np.linspace(0, 1, 10) # shorter than f_index+1 + + def test_xfull_order_violated_raises(self): + # line 100 — x_at_index not between x_at_i_index and x_at_f_index + x = np.linspace(0, 100, 100) + x_reversed = x[::-1].copy() # descending: x[50] < x[30] + p = PeakProperties(id="p", i_index=30, index=50, f_index=70) + with self.assertRaises(ValueError): + p.xfull = x_reversed + + +# ── properties returning None when arrays not set ───────────────────────────── + + +class TestPeakPropertiesWithoutArrays(unittest.TestCase): + def test_xrange_none_without_xfull(self): + # line 119 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + self.assertIsNone(p.xrange) + + def test_yrange_none_without_yfull(self): + # line 122 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + self.assertIsNone(p.yrange) + + def test_yrange_corrected_none_without_arrays(self): + # line 127 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + self.assertIsNone(p.yrange_corrected) + + def test_x_at_i_index_raises_without_xfull(self): + # line 150 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(ValueError): + _ = p.x_at_i_index + + def test_x_at_index_raises_without_xfull(self): + # line 156 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(ValueError): + _ = p.x_at_index + + def test_x_at_f_index_raises_without_xfull(self): + # line 162 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(ValueError): + _ = p.x_at_f_index + + def test_y_at_i_index_raises_without_yfull(self): + # lines 165-168 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(ValueError): + _ = p.y_at_i_index + + def test_y_at_index_raises_without_yfull(self): + # line 173 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(ValueError): + _ = p.y_at_index + + def test_y_at_f_index_raises_without_yfull(self): + # line 179 + p = PeakProperties(id="p", i_index=0, index=5, f_index=10) + with self.assertRaises(ValueError): + _ = p.y_at_f_index + + +# ── positive property ───────────────────────────────────────────────────────── + + +class TestPeakPositive(unittest.TestCase): + def test_positive_peak(self): + # line 64 — gaussian is positive (max in middle) + p = make_peak() + self.assertTrue(p.positive) + + def test_negative_peak(self): + # line 64 — inverted gaussian + x, y = make_gaussian() + p = PeakProperties(id="p", i_index=30, index=50, f_index=70, xfull=x, yfull=-y) + self.assertFalse(p.positive) + + +# ── get_width_at_height ─────────────────────────────────────────────────────── + + +class TestGetWidthAtHeight(unittest.TestCase): + def test_fwhm(self): + # lines 229-259, 270 + p = make_peak() + fwhm = p.fwhm + self.assertGreater(fwhm, 0) + + def test_width_base(self): + # line 274 + p = make_peak() + self.assertGreater(p.width_base, 0) + + def test_invalid_height_raises(self): + # height < 0 + p = make_peak() + with self.assertRaises(ValueError): + p.get_width_at_height(-0.1) + + def test_height_above_one_raises(self): + # height > 1 + p = make_peak() + with self.assertRaises(ValueError): + p.get_width_at_height(1.1) + + def test_corrected_width(self): + p = make_peak() + w, *_ = p.get_width_at_height(0.5, corrected=True) + self.assertGreater(w, 0) + + def test_relative_height(self): + p = make_peak() + w, *_ = p.get_width_at_height(0.5, absolute=False) + self.assertGreater(w, 0) + + +# ── __str__ and to_dict ─────────────────────────────────────────────────────── + + +class TestPeakStrAndDict(unittest.TestCase): + def test_str(self): + # line 277 + p = make_peak() + s = str(p) + self.assertIn("PeakProperties", s) + self.assertIn("test", s) + + def test_to_dict(self): + # lines 280-285 + p = make_peak() + d = p.to_dict() + self.assertIn("id", d) + self.assertIn("x_at_index", d) + self.assertIn("area", d) + self.assertIn("symmetricity", d) + + def test_to_dict_no_calc(self): + p = make_peak() + d = p.to_dict(calc_props=False) + self.assertIn("id", d) + self.assertNotIn("area", d) + + +# ── calculate_peak_area ─────────────────────────────────────────────────────── + + +class TestCalculatePeakArea(unittest.TestCase): + def test_trapz(self): + # lines 323-355 + p = make_peak() + area = calculate_peak_area(p, method="trapz") + self.assertGreater(area, 0) + + def test_simps(self): + p = make_peak() + area = calculate_peak_area(p, method="simps") + self.assertGreater(area, 0) + + def test_absolute(self): + x, y = make_gaussian() + p = PeakProperties(id="p", i_index=30, index=50, f_index=70, xfull=x, yfull=-y) + area = calculate_peak_area(p, absolute=True) + self.assertGreater(area, 0) + + def test_relative_to_baseline(self): + p = make_peak() + area = calculate_peak_area(p, relative_to_baseline=True) + self.assertGreater(area, 0) + + def test_unsupported_method_raises(self): + p = make_peak() + with self.assertRaises(ValueError): + calculate_peak_area(p, method="unknown") + + def test_no_add_property(self): + p = make_peak() + calculate_peak_area(p, add_property=False) + self.assertNotIn("area", p._serdata) + + # def test_negative_peak_area(self): #TODO + # x, y = make_gaussian() + # p = PeakProperties(id="p", i_index=30, index=50, f_index=70, + # xfull=x, yfull=-y) + # area = calculate_peak_area(p) + # self.assertGreater(area, 0) # sign is adjusted for negative peaks + + +# ── calculate_peak_symmetricity ─────────────────────────────────────────────── + + +class TestCalculatePeakSymmetricity(unittest.TestCase): + # def test_area_method(self): #TODO + # # lines 363-416 + # p = make_peak() + # s = calculate_peak_symmetricity(p, method="area") + # self.assertGreater(s, 0) + # self.assertLessEqual(s, 1.0) + + # def test_area_simps_method(self): #TODO + # p = make_peak() + # s = calculate_peak_symmetricity(p, method="area_simps") + # self.assertGreater(s, 0) + + def test_h5p_method(self): + p = make_peak() + s = calculate_peak_symmetricity(p, method="h5p") + self.assertGreater(s, 0) + + def test_fwhm_method(self): + p = make_peak() + s = calculate_peak_symmetricity(p, method="fwhm") + self.assertGreater(s, 0) + + def test_skewness_method(self): + p = make_peak() + s = calculate_peak_symmetricity(p, method="skewness") + self.assertIsInstance(s, float) + + def test_skewness_uneven_x(self): + # hits the interpolation branch inside skewness + x = np.array( + [ + 0, + 1, + 3, + 6, + 10, + 15, + 21, + 28, + 36, + 45, + 50, + 55, + 63, + 70, + 76, + 81, + 85, + 88, + 90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100, + ], + dtype=float, + ) + y = np.exp(-0.5 * ((x - 50) / 10) ** 2) + p = PeakProperties(id="p", i_index=3, index=10, f_index=25, xfull=x, yfull=y) + s = calculate_peak_symmetricity(p, method="skewness") + self.assertIsInstance(s, float) + + def test_unsupported_method_raises(self): + p = make_peak() + with self.assertRaises(ValueError): + calculate_peak_symmetricity(p, method="unknown") + + def test_no_add_property(self): + p = make_peak() + calculate_peak_symmetricity(p, add_property=False) + self.assertNotIn("symmetricity", p._serdata) From ed505c676b7d64f741f457474f07d409b935a107 Mon Sep 17 00:00:00 2001 From: Kourosh Date: Thu, 11 Jun 2026 08:52:59 +0200 Subject: [PATCH 2/3] covering more tests for normalization and peak analysis --- .funcnodes/config.json | 29 + .funcnodes/config.json.bu | 29 + ...rker_819786f45cc247a7b086ce71d030df11.json | 1 + .../worker_819786f45cc247a7b086ce71d030df11.p | 1 + .../main.py | 6 + .../nodespace.json | 1 + .../pyproject.toml | 15 + .../uv.lock | 1764 ++++++++++++++ .funcnodes/workers/worker_demoworker.json | 1 + .../workers/worker_demoworker/nodespace.json | 1 + pyproject.toml | 52 +- reports/mypy-baseline.txt | 782 ++++++ src/funcnodes_span/peak_analysis.py | 52 +- tests/test_all_nodes_pytest.py | 6 + tests/test_normalization.py | 124 + tests/test_peak_analysis.py | 4 +- uv.lock | 2097 ++++++++++------- 17 files changed, 4050 insertions(+), 915 deletions(-) create mode 100644 .funcnodes/config.json create mode 100644 .funcnodes/config.json.bu create mode 100644 .funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.json create mode 100644 .funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.p create mode 100644 .funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/main.py create mode 100644 .funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/nodespace.json create mode 100644 .funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/pyproject.toml create mode 100644 .funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/uv.lock create mode 100644 .funcnodes/workers/worker_demoworker.json create mode 100644 .funcnodes/workers/worker_demoworker/nodespace.json create mode 100644 reports/mypy-baseline.txt create mode 100644 tests/test_all_nodes_pytest.py diff --git a/.funcnodes/config.json b/.funcnodes/config.json new file mode 100644 index 0000000..e2d2403 --- /dev/null +++ b/.funcnodes/config.json @@ -0,0 +1,29 @@ +{ + "env_dir": "/Users/kouroshmini/.funcnodes/env", + "worker_manager": { + "host": "localhost", + "port": 9380 + }, + "frontend": { + "port": 8000, + "host": "localhost" + }, + "nodes": { + "default_pretrigger_delay": 0.01 + }, + "logging": { + "handler": { + "console": { + "handlerclass": "logging.StreamHandler", + "options": {} + }, + "file": { + "handlerclass": "logging.handlers.RotatingFileHandler", + "options": { + "maxBytes": 5242880, + "backupCount": 5 + } + } + } + } +} diff --git a/.funcnodes/config.json.bu b/.funcnodes/config.json.bu new file mode 100644 index 0000000..e2d2403 --- /dev/null +++ b/.funcnodes/config.json.bu @@ -0,0 +1,29 @@ +{ + "env_dir": "/Users/kouroshmini/.funcnodes/env", + "worker_manager": { + "host": "localhost", + "port": 9380 + }, + "frontend": { + "port": 8000, + "host": "localhost" + }, + "nodes": { + "default_pretrigger_delay": 0.01 + }, + "logging": { + "handler": { + "console": { + "handlerclass": "logging.StreamHandler", + "options": {} + }, + "file": { + "handlerclass": "logging.handlers.RotatingFileHandler", + "options": { + "maxBytes": 5242880, + "backupCount": 5 + } + } + } + } +} diff --git a/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.json b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.json new file mode 100644 index 0000000..dee5843 --- /dev/null +++ b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.json @@ -0,0 +1 @@ +{"type": "WSWorker", "uuid": "819786f45cc247a7b086ce71d030df11", "name": "ph", "data_path": "/Volumes/T7/Developer/Code/git/funcnodes_span/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11", "env_path": "/Volumes/T7/Developer/Code/git/funcnodes_span/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/.venv", "python_path": "/Volumes/T7/Developer/Code/git/funcnodes_span/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/.venv/bin/python", "worker_dependencies": {}, "package_dependencies": {"funcnodes-files": {"package": "funcnodes-files", "version": ">=1.0.0"}, "funcnodes-images": {"package": "funcnodes-images", "version": ">=0.2.6"}, "funcnodes-numpy": {"package": "funcnodes-numpy", "version": ">=0.2.11"}, "funcnodes-pandas": {"package": "funcnodes-pandas", "version": ">=0.4.0"}, "funcnodes-basic": {"package": "funcnodes-basic", "version": ">=1.0.0"}, "funcnodes-plotly": {"package": "funcnodes-plotly", "version": ">=1.0.0"}}, "pid": 40901, "update_on_startup": {"funcnodes": true, "funcnodes-core": true, "funcnodes-worker": true}, "host": "localhost", "port": 9383, "ssl": false} diff --git a/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.p b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.p new file mode 100644 index 0000000..d46d296 --- /dev/null +++ b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11.p @@ -0,0 +1 @@ +40901 diff --git a/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/main.py b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/main.py new file mode 100644 index 0000000..738681a --- /dev/null +++ b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/main.py @@ -0,0 +1,6 @@ +def main(): + print("Hello from worker-819786f45cc247a7b086ce71d030df11!") + + +if __name__ == "__main__": + main() diff --git a/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/nodespace.json b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/nodespace.json new file mode 100644 index 0000000..f9f1905 --- /dev/null +++ b/.funcnodes/workers/worker_819786f45cc247a7b086ce71d030df11/nodespace.json @@ -0,0 +1 @@ +{"backend": {"nodes": [{"name": "FileUploadNode(0ccc661ceaa3449e8720caf4ea2e574d)", "id": "0ccc661ceaa3449e8720caf4ea2e574d", "node_id": "files.upl", "node_name": "File Upload", "io": {"parent": {"is_input": true, "emit_value_set": true, "does_trigger": false}, "input_data": {"is_input": true, "emit_value_set": true, "default": "1_CH1.tif"}, "load": {"is_input": true, "emit_value_set": true, "does_trigger": false}, "save": {"is_input": true, "emit_value_set": true, "does_trigger": false}, "data": {"is_input": false, "emit_value_set": true}, "file": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "properties": {"frontend:size": [250, 290], "frontend:pos": [931.1070631039272, 926.1919118798821]}}, {"name": "FromBytes(70a246e45e23457ab76bb16edbe611a8)", "id": "70a246e45e23457ab76bb16edbe611a8", "node_id": "image.from_bytes", "node_name": "From Bytes", "io": {"data": {"is_input": true, "emit_value_set": true}, "img": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "render_options": {"data": {"src": "img", "type": "image"}}, "properties": {"frontend:size": [250, 329], "frontend:pos": [1242.6787377338712, 506.56354816242674]}}, {"name": "ToArray(2f9cb1814a224cb2afa2ffe60906ff67)", "id": "2f9cb1814a224cb2afa2ffe60906ff67", "node_id": "image.to_array", "node_name": "To Array", "io": {"img": {"is_input": true, "emit_value_set": true}, "array": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "properties": {"frontend:size": [250, 133], "frontend:pos": [1573.4057890090608, 642.2743514203529]}}, {"name": "FileUploadNode(0fce3340086f4cedb09626fc69936cda)", "id": "0fce3340086f4cedb09626fc69936cda", "node_id": "files.upl", "node_name": "File Upload", "io": {"parent": {"is_input": true, "emit_value_set": true, "does_trigger": false}, "input_data": {"is_input": true, "emit_value_set": true, "default": "1_CH2.tif"}, "load": {"is_input": true, "emit_value_set": true, "does_trigger": false}, "save": {"is_input": true, "emit_value_set": true, "does_trigger": false, "default": true}, "data": {"is_input": false, "emit_value_set": true}, "file": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "properties": {"frontend:size": [250, 290], "frontend:pos": [927.6783488886006, 1100.8014655903983]}}, {"name": "FromBytes(90071f7204a743a3898cb62906eaf2e5)", "id": "90071f7204a743a3898cb62906eaf2e5", "node_id": "image.from_bytes", "node_name": "From Bytes", "io": {"data": {"is_input": true, "emit_value_set": true}, "img": {"is_input": false, "emit_value_set": true}, 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"emit_value_set": true}, "width_at_rel_height": {"is_input": true, "hidden": true, "emit_value_set": true}, "plateau_size": {"is_input": true, "hidden": true, "emit_value_set": true}, "peaks": {"is_input": false, "emit_value_set": true}, "norm_x": {"is_input": false, "emit_value_set": true}, "norm_y": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "properties": {"frontend:size": [250, 321], "frontend:pos": [2742.13482283184, 713.4072709974324]}}, {"name": "Plot peaksNode(735f7ad1af6e4aa4b07f35b803af217c)", "id": "735f7ad1af6e4aa4b07f35b803af217c", "node_id": "span.basics.peaks.plot", "node_name": "Plot peaks", "io": {"x": {"is_input": true, "emit_value_set": true}, "y": {"is_input": true, "emit_value_set": true}, "peaks": {"is_input": true, "emit_value_set": true}, "fill_rectangles": {"is_input": true, "emit_value_set": true}, "xaxis_title": {"is_input": true, "emit_value_set": true}, "yaxis_title": {"is_input": true, "emit_value_set": true}, "title": {"is_input": true, "emit_value_set": true}, "show_legend": {"is_input": true, "emit_value_set": true}, "figure": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "render_options": {"data": {"src": "figure"}}, "properties": {"frontend:size": [250, 370], "frontend:pos": [3131.0272294979027, 681.4517709147947]}}, {"name": "Plot peaksNode(acdff53f46864d79a466625f1f70e8eb)", "id": "acdff53f46864d79a466625f1f70e8eb", "node_id": "span.basics.peaks.plot", "node_name": "Plot peaks", "io": {"x": {"is_input": true, "emit_value_set": true}, "y": {"is_input": true, "emit_value_set": true}, "peaks": {"is_input": true, "emit_value_set": true}, "fill_rectangles": {"is_input": true, "emit_value_set": true}, "xaxis_title": {"is_input": true, "emit_value_set": true}, "yaxis_title": {"is_input": true, "emit_value_set": true}, "title": {"is_input": true, "emit_value_set": true}, "show_legend": {"is_input": true, "emit_value_set": true}, "figure": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "render_options": {"data": {"src": "figure"}}, "properties": {"frontend:size": [250, 685], "frontend:pos": [3133.8942230592857, -71.10901654540562]}}, {"name": "Line plotNode(adc31b80cc6f41baaa053c01c18f2165)", "id": "adc31b80cc6f41baaa053c01c18f2165", "node_id": "plotly.express.line", "node_name": "Line Plot", "io": {"data": {"is_input": true, "emit_value_set": true}, "x": {"is_input": true, "value_options": {"options": ["", "Signal", "Mass", "Sigma", "Volume", "Time", "Mass_f"]}, "emit_value_set": true, "default": "Volume"}, "y": {"is_input": true, "value_options": {"options": ["", "Signal", "Mass", "Sigma", "Volume", "Time", "Mass_f"]}, "emit_value_set": true}, "color": {"is_input": true, "value_options": {"options": ["", "Signal", "Mass", "Sigma", "Volume", "Time", "Mass_f"]}, "emit_value_set": true}, "facet_row": {"is_input": true, "value_options": {"options": ["", "Signal", "Mass", "Sigma", "Volume", "Time", "Mass_f"]}, "emit_value_set": true}, "facet_col": {"is_input": true, "value_options": {"options": ["", "Signal", "Mass", "Sigma", "Volume", "Time", "Mass_f"]}, "emit_value_set": true}, "facet_col_wrap": {"is_input": true, "emit_value_set": true}, "figure": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "render_options": {"data": {"src": "figure"}}, "properties": {"frontend:size": [250, 714], "frontend:pos": [2065.6296231527817, 71.42308814180362]}}, {"name": "Sec reportNode(e8bea8c85456409a8f3ed1d9626fafaa)", "id": "e8bea8c85456409a8f3ed1d9626fafaa", "node_id": "fnsec.report.sec_report", "node_name": "sec Report", "io": {"mass": {"is_input": true, "emit_value_set": true}, "sigma": {"is_input": true, "emit_value_set": true}, "peaks": {"is_input": true, "emit_value_set": true}, "sec_report": {"is_input": false, "emit_value_set": true}, "MWD": {"is_input": false, "emit_value_set": true}, "_triggeroutput": {"name": "\u27a1", "is_input": false, "hidden": true, "emit_value_set": false}}, "properties": {"frontend:size": [250, 259], "frontend:pos": [3525.5762298545687, 777.4291367594004]}}], "edges": [["dd7aaab1d2244505b6cf5f9fb1fce7a7", "data", "49ae3853670c4454ac1525eab953c49a", "sec_data"], ["49ae3853670c4454ac1525eab953c49a", "signal", "988fdd41e9cc4c228d0aa1e1e4860d97", "array"], ["49ae3853670c4454ac1525eab953c49a", "signal", "e8bea8c85456409a8f3ed1d9626fafaa", "sigma"], ["49ae3853670c4454ac1525eab953c49a", "mass", "e8bea8c85456409a8f3ed1d9626fafaa", "mass"], ["49ae3853670c4454ac1525eab953c49a", "volume", "c3c8508ae5cd46d0a3f838c614bc48aa", "x"], ["49ae3853670c4454ac1525eab953c49a", "df", "adc31b80cc6f41baaa053c01c18f2165", "data"], ["988fdd41e9cc4c228d0aa1e1e4860d97", "array", "735f7ad1af6e4aa4b07f35b803af217c", "y"], ["988fdd41e9cc4c228d0aa1e1e4860d97", "array", "735f7ad1af6e4aa4b07f35b803af217c", "yaxis_title"], ["ac8406636d084b9e97b71170e38f907d", "smoothed", "adc31b80cc6f41baaa053c01c18f2165", "y"], ["c3c8508ae5cd46d0a3f838c614bc48aa", "peaks", "735f7ad1af6e4aa4b07f35b803af217c", "peaks"], ["c3c8508ae5cd46d0a3f838c614bc48aa", "peaks", "acdff53f46864d79a466625f1f70e8eb", "peaks"], ["c3c8508ae5cd46d0a3f838c614bc48aa", "y", "acdff53f46864d79a466625f1f70e8eb", "y"], ["c3c8508ae5cd46d0a3f838c614bc48aa", "x", "acdff53f46864d79a466625f1f70e8eb", "x"], ["c3c8508ae5cd46d0a3f838c614bc48aa", "x", "735f7ad1af6e4aa4b07f35b803af217c", "x"], ["c3c8508ae5cd46d0a3f838c614bc48aa", "x", "735f7ad1af6e4aa4b07f35b803af217c", "xaxis_title"], ["acdff53f46864d79a466625f1f70e8eb", "peaks", "e8bea8c85456409a8f3ed1d9626fafaa", "peaks"]], "prop": {}, "groups": {}}, "view": {"renderoptions": {"typemap": {"funcnodes_images._numpy.NumpyImageFormat": "image", "funcnodes_images._pillow.PillowImageFormat": "image", "pandas.core.frame.DataFrame": "table", "pandas.core.series.Series": "list", "funcnodes_images.imagecontainer.ImageFormat": "image", "plotly.graph_objs._figure.Figure": "plotly.Figure", "ndarray": "str"}, "inputconverter": {"ndarray": "str_to_json"}}}, "meta": {"id": "ffc8810acdbc40cfb65a67f33cd5e014", "version": "1.0.5"}, "dependencies": {"modules": []}, "external_workers": {}} diff --git a/pyproject.toml b/pyproject.toml index 3b40658..99ff5cb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,22 +1,11 @@ [project] name = "funcnodes-span" -version = "1.0.1" +version = "1.0.2" description = "SPectral ANalysis (SPAN) for funcnodes" readme = "README.md" classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",] requires-python = ">=3.11" -dependencies = [ - "scipy", - "lmfit", - "funcnodes>=1.0.0", - "funcnodes-core>=1.0.4", - "funcnodes-numpy", - "funcnodes-pandas", - "funcnodes-plotly", - "pybaselines", - "funcnodes-lmfit>=0.2.0", - "numba (>=0.61.0,<1.0.0)", -] +dependencies = [ "scipy", "lmfit", "funcnodes>=1.0.0", "funcnodes-core>=1.0.4", "funcnodes-numpy", "funcnodes-pandas", "funcnodes-plotly", "pybaselines", "funcnodes-lmfit>=0.2.0", "numba (>=0.61.0,<1.0.0)",] [[project.authors]] name = "Kourosh Rezaei" email = "kourosh.rezaei@linkdlab.de" @@ -26,13 +15,11 @@ name = "Julian Kimmig" email = "julian.kimmig@linkdlab.de" [dependency-groups] -dev = [ - "commitizen>=4.8.3", - "funcnodes-module>=0.1.22", - "pooch>=1.8.2", - "pre-commit>=4.1.0", - "pytest>=8.3.4", -] +dev = [ "commitizen>=4.8.3", "funcnodes-module>=0.1.22", "pooch>=1.8.2", "pre-commit>=4.1.0", "pytest>=8.3.4", "pytest-funcnodes>=0.1.0",] + +[build-system] +requires = [ "hatchling",] +build-backend = "hatchling.build" [project.license] text = "AGPL-3.0" @@ -43,21 +30,22 @@ source = "https://github.com/Linkdlab/funcnodes_span" tracker = "https://github.com/Linkdlab/funcnodes_span/issues" download = "https://pypi.org/project/funcnodes-span/#files" -[project.entry-points."funcnodes.module"] -module = "funcnodes_span" -shelf = "funcnodes_span:NODE_SHELF" - -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" - -[tool.hatch.build.targets.wheel] -packages = ["src/funcnodes_span"] - - [tool.commitizen] name = "cz_conventional_commits" tag_format = "$version" version_scheme = "pep440" version_provider = "uv" update_changelog_on_bump = true + +[project.entry-points."funcnodes.module"] +module = "funcnodes_span" +shelf = "funcnodes_span:NODE_SHELF" + +[tool.setuptools.package-dir] +"" = "src" + +[tool.setuptools.packages.find] +where = [ "src",] + +[tool.hatch.build.targets.wheel] +packages = [ "src/funcnodes_span",] diff --git a/reports/mypy-baseline.txt b/reports/mypy-baseline.txt new file mode 100644 index 0000000..f7c7e3d --- /dev/null +++ b/reports/mypy-baseline.txt @@ -0,0 +1,782 @@ +src/funcnodes_span/smoothing.py:2: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/smoothing.py:4: error: Library stubs not installed for "pandas" [import-untyped] +src/funcnodes_span/smoothing.py:4: note: Hint: "python3 -m pip install pandas-stubs" +src/funcnodes_span/smoothing.py:5: error: Skipping analyzing "scipy.signal": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/smoothing.py:6: error: Skipping analyzing "scipy.ndimage": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/smoothing.py:13: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/smoothing.py:21: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:22: error: Returning Any from function declared to return "ndarray[Any, Any]" [no-any-return] +src/funcnodes_span/smoothing.py:25: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:26: error: Returning Any from function declared to return "ndarray[Any, Any]" [no-any-return] +src/funcnodes_span/smoothing.py:29: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:40: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:48: error: Returning Any from function declared to return "ndarray[Any, Any]" [no-any-return] +src/funcnodes_span/smoothing.py:51: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:52: error: Returning Any from function declared to return "ndarray[Any, Any]" [no-any-return] +src/funcnodes_span/smoothing.py:55: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:56: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/smoothing.py:57: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/smoothing.py:58: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/smoothing.py:59: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/smoothing.py:60: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/smoothing.py:64: error: Untyped decorator makes function "_smooth" untyped [misc] +src/funcnodes_span/smoothing.py:70: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:71: error: Incompatible default for argument "mode" (default has type "str", argument has type "SmoothMode") [assignment] +src/funcnodes_span/smoothing.py:73: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/smoothing.py:73: error: Incompatible default for argument "x" (default has type "None", argument has type "ndarray[Any, Any]") [assignment] +src/funcnodes_span/smoothing.py:73: note: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True +src/funcnodes_span/smoothing.py:73: note: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase +src/funcnodes_span/smoothing.py:74: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:2: error: Skipping analyzing "exposedfunctionality": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peaks.py:4: error: Skipping analyzing "scipy": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peaks.py:5: error: Skipping analyzing "scipy.stats": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peaks.py:6: error: Skipping analyzing "lmfit.model": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peaks.py:10: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/peaks.py:16: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:17: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:28: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:29: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:43: error: Need type annotation for "_serdata" (hint: "_serdata: dict[, ] = ...") [var-annotated] +src/funcnodes_span/peaks.py:51: error: Function is missing a type annotation [no-untyped-def] +src/funcnodes_span/peaks.py:86: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:90: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:113: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:117: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:148: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:154: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:160: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peaks.py:174: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:180: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:186: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:192: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:198: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:204: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:214: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/peaks.py:233: error: Argument 1 to "__call__" of "_UFunc_Nin1_Nout1" has incompatible type "ndarray[Any, Any] | None"; expected "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]" [arg-type] +src/funcnodes_span/peaks.py:235: error: Argument 1 to "__call__" of "_UFunc_Nin1_Nout1" has incompatible type "ndarray[Any, Any] | None"; expected "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]" [arg-type] +src/funcnodes_span/peaks.py:276: error: Function is missing a type annotation [no-untyped-def] +src/funcnodes_span/peaks.py:279: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/peaks.py:355: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/peaks.py:374: error: Value of type "ndarray[Any, Any] | None" is not indexable [index] +src/funcnodes_span/peaks.py:376: error: Value of type "ndarray[Any, Any] | None" is not indexable [index] +src/funcnodes_span/peaks.py:405: error: Argument 3 to "interp" has incompatible type "ndarray[Any, Any] | None"; expected "_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]] | dtype[floating[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]] | dtype[floating[Any]]]] | builtins.bool | int | float | _NestedSequence[builtins.bool | int | float]" [arg-type] +src/funcnodes_span/peaks.py:416: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/normalization.py:2: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/normalization.py:4: error: Skipping analyzing "scipy.interpolate": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/normalization.py:5: error: Skipping analyzing "exposedfunctionality": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/normalization.py:9: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/normalization.py:19: error: Untyped decorator makes function "_norm" untyped [misc] +src/funcnodes_span/normalization.py:20: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/normalization.py:20: error: Incompatible default for argument "mode" (default has type "str", argument has type "NormMode") [assignment] +src/funcnodes_span/normalization.py:36: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:37: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:40: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:41: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:42: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:43: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:44: error: "str" has no attribute "value" [attr-defined] +src/funcnodes_span/normalization.py:48: error: Returning Any from function declared to return "ndarray[Any, Any]" [no-any-return] +src/funcnodes_span/normalization.py:48: error: Call to untyped function (unknown) in typed context [no-untyped-call] +src/funcnodes_span/normalization.py:52: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/normalization.py:53: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/normalization.py:54: error: Incompatible default for argument "num_points" (default has type "None", argument has type "int") [assignment] +src/funcnodes_span/normalization.py:54: note: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True +src/funcnodes_span/normalization.py:54: note: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase +src/funcnodes_span/normalization.py:56: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/normalization.py:131: error: Untyped decorator makes function "density_normalization_node" untyped [misc] +src/funcnodes_span/normalization.py:146: error: Untyped decorator makes function "density_normalization_node" untyped [misc] +src/funcnodes_span/normalization.py:148: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/normalization.py:149: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/normalization.py:150: error: Incompatible default for argument "num_points" (default has type "None", argument has type "int") [assignment] +src/funcnodes_span/normalization.py:150: note: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True +src/funcnodes_span/normalization.py:150: note: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase +src/funcnodes_span/normalization.py:152: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_curves.py:5: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/_curves.py:46: error: Incompatible return value type (got "tuple[signedinteger[_32Bit | _64Bit], Any, Any]", expected "tuple[int, float, float]") [return-value] +src/funcnodes_span/_curves.py:49: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/_curves.py:50: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_curves.py:69: error: Returning Any from function declared to return "float" [no-any-return] +src/funcnodes_span/_curves.py:73: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_curves.py:74: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_baseline.py:3: error: Skipping analyzing "scipy.ndimage": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/_baseline.py:8: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_baseline.py:9: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_baseline.py:10: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/_baseline.py:12: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:3: error: Skipping analyzing "lmfit": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/fitting.py:4: error: Skipping analyzing "lmfit.model": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/fitting.py:5: error: Skipping analyzing "lmfit.models": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/fitting.py:7: error: Skipping analyzing "funcnodes_lmfit.model": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/fitting.py:8: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/fitting.py:17: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:18: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:38: error: No overload variant of "__add__" of "list" matches argument type "str" [operator] +src/funcnodes_span/fitting.py:38: note: Possible overload variants: +src/funcnodes_span/fitting.py:38: note: def __add__(self, list[int], /) -> list[int] +src/funcnodes_span/fitting.py:38: note: def [_S] __add__(self, list[_S], /) -> list[_S | int] +src/funcnodes_span/fitting.py:38: note: Right operand is of type "str | list[str] | list[list[str]] | list[list[list[Any]]]" +src/funcnodes_span/fitting.py:56: error: Need type annotation for "current_peak_group" (hint: "current_peak_group: set[] = ...") [var-annotated] +src/funcnodes_span/fitting.py:91: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/fitting.py:92: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:93: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:205: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/fitting.py:268: error: Item "None" of "Any | None" has no attribute "fit" [union-attr] +src/funcnodes_span/fitting.py:273: error: Item "None" of "Any | None" has no attribute "set_param_hint" [union-attr] +src/funcnodes_span/fitting.py:281: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/fitting.py:283: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:284: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/fitting.py:285: error: Variable "funcnodes_span.fitting.AutoModelEnum" is not valid as a type [valid-type] +src/funcnodes_span/fitting.py:285: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases +src/funcnodes_span/fitting.py:290: error: Variable "funcnodes_span.fitting.AutoModelEnum" is not valid as a type [valid-type] +src/funcnodes_span/fitting.py:290: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases +src/funcnodes_span/fitting.py:402: error: Item "None" of "Any | None" has no attribute "make_params" [union-attr] +src/funcnodes_span/fitting.py:403: error: Item "None" of "Any | None" has no attribute "eval" [union-attr] +src/funcnodes_span/fitting.py:407: error: Incompatible types in assignment (expression has type "PeakProperties", variable has type "list[PeakProperties]") [assignment] +src/funcnodes_span/fitting.py:408: error: "list[PeakProperties]" has no attribute "_id" [attr-defined] +src/funcnodes_span/fitting.py:409: error: "list[PeakProperties]" has no attribute "model" [attr-defined] +src/funcnodes_span/fitting.py:412: error: Item "None" of "Any | None" has no attribute "prefix" [union-attr] +src/funcnodes_span/fitting.py:415: error: Incompatible return value type (got "list[list[PeakProperties]]", expected "list[PeakProperties]") [return-value] +src/funcnodes_span/peak_analysis.py:1: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:5: error: Skipping analyzing "exposedfunctionality": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:7: error: Skipping analyzing "scipy.signal": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:8: error: Skipping analyzing "scipy": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:9: error: Skipping analyzing "scipy.ndimage": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:10: error: Library stubs not installed for "tqdm" [import-untyped] +src/funcnodes_span/peak_analysis.py:10: note: Hint: "python3 -m pip install types-tqdm" +src/funcnodes_span/peak_analysis.py:10: note: (or run "mypy --install-types" to install all missing stub packages) +src/funcnodes_span/peak_analysis.py:12: error: Skipping analyzing "plotly.graph_objs": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:12: error: Skipping analyzing "plotly": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/peak_analysis.py:16: error: Module "funcnodes_span.fitting" does not explicitly export attribute "AUTOMODELMAP" [attr-defined] +src/funcnodes_span/peak_analysis.py:16: error: Module "funcnodes_span.fitting" does not explicitly export attribute "Model" [attr-defined] +src/funcnodes_span/peak_analysis.py:16: error: Module "funcnodes_span.fitting" does not explicitly export attribute "ModelResult" [attr-defined] +src/funcnodes_span/peak_analysis.py:32: error: Untyped decorator makes function "peak_finder" untyped [misc] +src/funcnodes_span/peak_analysis.py:36: error: Untyped decorator makes function "peak_finder" untyped [misc] +src/funcnodes_span/peak_analysis.py:38: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:44: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:50: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:133: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:170: error: Incompatible types in assignment (expression has type "float | None", variable has type "int | None") [assignment] +src/funcnodes_span/peak_analysis.py:172: error: Incompatible types in assignment (expression has type "float | None", variable has type "int | None") [assignment] +src/funcnodes_span/peak_analysis.py:317: error: Untyped decorator makes function "interpolation_1d" untyped [misc] +src/funcnodes_span/peak_analysis.py:328: error: Function "numpy._core.multiarray.array" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:328: note: Perhaps you need "Callable[...]" or a callback protocol? +src/funcnodes_span/peak_analysis.py:329: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:344: error: Value of type np.array? is not indexable [index] +src/funcnodes_span/peak_analysis.py:349: error: Untyped decorator makes function "force_peak_finder" untyped [misc] +src/funcnodes_span/peak_analysis.py:354: error: Function "numpy._core.multiarray.array" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:354: note: Perhaps you need "Callable[...]" or a callback protocol? +src/funcnodes_span/peak_analysis.py:355: error: Function "numpy._core.multiarray.array" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:355: note: Perhaps you need "Callable[...]" or a callback protocol? +src/funcnodes_span/peak_analysis.py:405: error: Value of type np.array? is not indexable [index] +src/funcnodes_span/peak_analysis.py:406: error: Value of type np.array? is not indexable [index] +src/funcnodes_span/peak_analysis.py:441: error: Incompatible types in assignment (expression has type "list[Any]", variable has type "PeakProperties") [assignment] +src/funcnodes_span/peak_analysis.py:444: error: Value of type "PeakProperties" is not indexable [index] +src/funcnodes_span/peak_analysis.py:445: error: Value of type "PeakProperties" is not indexable [index] +src/funcnodes_span/peak_analysis.py:446: error: Value of type "PeakProperties" is not indexable [index] +src/funcnodes_span/peak_analysis.py:456: error: Untyped decorator makes function "plot_peaks" untyped [misc] +src/funcnodes_span/peak_analysis.py:463: error: Function "numpy._core.multiarray.array" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:463: note: Perhaps you need "Callable[...]" or a callback protocol? +src/funcnodes_span/peak_analysis.py:464: error: Function "numpy._core.multiarray.array" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:464: note: Perhaps you need "Callable[...]" or a callback protocol? +src/funcnodes_span/peak_analysis.py:569: error: Untyped decorator makes function "plot_fitted_peaks" untyped [misc] +src/funcnodes_span/peak_analysis.py:580: error: Argument 1 to "diff" has incompatible type "ndarray[Any, Any] | None"; expected "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]" [arg-type] +src/funcnodes_span/peak_analysis.py:581: error: Item "None" of "ndarray[Any, Any] | None" has no attribute "min" [union-attr] +src/funcnodes_span/peak_analysis.py:582: error: Item "None" of "ndarray[Any, Any] | None" has no attribute "max" [union-attr] +src/funcnodes_span/peak_analysis.py:586: error: Argument 2 to "interp" has incompatible type "ndarray[Any, Any] | None"; expected "_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]] | dtype[floating[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]] | dtype[floating[Any]]]] | builtins.bool | int | float | _NestedSequence[builtins.bool | int | float]" [arg-type] +src/funcnodes_span/peak_analysis.py:586: error: Argument 3 to "interp" has incompatible type "ndarray[Any, Any] | None"; expected "_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]] | dtype[floating[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]] | dtype[floating[Any]]]] | builtins.bool | int | float | _NestedSequence[builtins.bool | int | float]" [arg-type] +src/funcnodes_span/peak_analysis.py:625: error: Item "None" of "Any | None" has no attribute "eval" [union-attr] +src/funcnodes_span/peak_analysis.py:625: error: Item "None" of "Any | None" has no attribute "make_params" [union-attr] +src/funcnodes_span/peak_analysis.py:664: error: Untyped decorator makes function "plot_peak" untyped [misc] +src/funcnodes_span/peak_analysis.py:672: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:673: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:710: error: Untyped decorator makes function "fit_peaks_node" untyped [misc] +src/funcnodes_span/peak_analysis.py:716: error: Untyped decorator makes function "fit_peaks_node" untyped [misc] +src/funcnodes_span/peak_analysis.py:719: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:720: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/peak_analysis.py:721: error: Variable "funcnodes_span.peak_analysis.AutoModelEnum" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:721: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases +src/funcnodes_span/peak_analysis.py:726: error: Variable "funcnodes_span.peak_analysis.AutoModelEnum" is not valid as a type [valid-type] +src/funcnodes_span/peak_analysis.py:726: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases +src/funcnodes_span/peak_analysis.py:737: error: Function is missing a type annotation [no-untyped-def] +src/funcnodes_span/curves.py:1: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/baseline.py:1: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/baseline.py:5: error: Skipping analyzing "pybaselines": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/baseline.py:6: error: Skipping analyzing "scipy": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/baseline.py:7: error: Skipping analyzing "scipy.sparse.linalg": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/baseline.py:8: error: Skipping analyzing "scipy.signal": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/baseline.py:13: error: Function is missing a type annotation [no-untyped-def] +src/funcnodes_span/baseline.py:14: error: Untyped decorator makes function "blw" untyped [misc] +src/funcnodes_span/baseline.py:15: error: Function is missing a type annotation for one or more arguments [no-untyped-def] +src/funcnodes_span/baseline.py:16: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:18: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:19: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:22: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:22: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:27: error: Argument 1 to "estimate_baseline_regions" has incompatible type "ndarray[Any, Any] | None"; expected "ndarray[Any, Any]" [arg-type] +src/funcnodes_span/baseline.py:30: error: Argument 1 to "any" has incompatible type "ndarray[Any, Any] | None"; expected "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]" [arg-type] +src/funcnodes_span/baseline.py:57: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/baseline.py:63: error: Untyped decorator makes function "_goldindec" untyped [misc] +src/funcnodes_span/baseline.py:72: error: Untyped decorator makes function "_goldindec" untyped [misc] +src/funcnodes_span/baseline.py:75: error: Untyped decorator makes function "_goldindec" untyped [misc] +src/funcnodes_span/baseline.py:77: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:78: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:79: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:84: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:85: error: Incompatible default for argument "cost_function" (default has type "str", argument has type "CostFunction") [assignment] +src/funcnodes_span/baseline.py:92: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:92: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:109: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:112: error: Untyped decorator makes function "_imodpoly" untyped [misc] +src/funcnodes_span/baseline.py:121: error: Untyped decorator makes function "_imodpoly" untyped [misc] +src/funcnodes_span/baseline.py:124: error: Untyped decorator makes function "_imodpoly" untyped [misc] +src/funcnodes_span/baseline.py:126: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:127: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:128: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:133: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:138: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:138: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:151: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:154: error: Untyped decorator makes function "_loess" untyped [misc] +src/funcnodes_span/baseline.py:163: error: Untyped decorator makes function "_loess" untyped [misc] +src/funcnodes_span/baseline.py:164: error: Untyped decorator makes function "_loess" untyped [misc] +src/funcnodes_span/baseline.py:166: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:167: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:168: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:178: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:184: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:184: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:203: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:206: error: Untyped decorator makes function "_modpoly" untyped [misc] +src/funcnodes_span/baseline.py:215: error: Untyped decorator makes function "_modpoly" untyped [misc] +src/funcnodes_span/baseline.py:218: error: Untyped decorator makes function "_modpoly" untyped [misc] +src/funcnodes_span/baseline.py:220: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:221: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:222: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:227: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:231: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:231: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:243: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:246: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/baseline.py:255: error: Untyped decorator makes function "_penalized_poly" untyped [misc] +src/funcnodes_span/baseline.py:264: error: Untyped decorator makes function "_penalized_poly" untyped [misc] +src/funcnodes_span/baseline.py:267: error: Untyped decorator makes function "_penalized_poly" untyped [misc] +src/funcnodes_span/baseline.py:269: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:270: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:271: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:276: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:277: error: Incompatible default for argument "cost_function" (default has type "str", argument has type "PenalizedPolyCostFunction") [assignment] +src/funcnodes_span/baseline.py:281: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:281: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:295: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:298: error: Untyped decorator makes function "_poly" untyped [misc] +src/funcnodes_span/baseline.py:307: error: Untyped decorator makes function "_poly" untyped [misc] +src/funcnodes_span/baseline.py:308: error: Untyped decorator makes function "_poly" untyped [misc] +src/funcnodes_span/baseline.py:310: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:311: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:312: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:315: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:317: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:317: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:325: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:328: error: Untyped decorator makes function "_quant_reg" untyped [misc] +src/funcnodes_span/baseline.py:337: error: Untyped decorator makes function "_quant_reg" untyped [misc] +src/funcnodes_span/baseline.py:340: error: Untyped decorator makes function "_quant_reg" untyped [misc] +src/funcnodes_span/baseline.py:342: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:343: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:344: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:350: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:353: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:353: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:365: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:376: error: Untyped decorator makes function "_airpls" untyped [misc] +src/funcnodes_span/baseline.py:385: error: Untyped decorator makes function "_airpls" untyped [misc] +src/funcnodes_span/baseline.py:386: error: Untyped decorator makes function "_airpls" untyped [misc] +src/funcnodes_span/baseline.py:388: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:389: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:390: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:396: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:397: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:397: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:407: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:410: error: Untyped decorator makes function "_arpls" untyped [misc] +src/funcnodes_span/baseline.py:419: error: Untyped decorator makes function "_arpls" untyped [misc] +src/funcnodes_span/baseline.py:420: error: Untyped decorator makes function "_arpls" untyped [misc] +src/funcnodes_span/baseline.py:422: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:423: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:424: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:430: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:431: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:431: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:441: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:444: error: Untyped decorator makes function "_asls" untyped [misc] +src/funcnodes_span/baseline.py:453: error: Untyped decorator makes function "_asls" untyped [misc] +src/funcnodes_span/baseline.py:454: error: Untyped decorator makes function "_asls" untyped [misc] +src/funcnodes_span/baseline.py:456: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:457: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:458: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:465: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:466: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:466: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:477: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:480: error: Untyped decorator makes function "_aspls" untyped [misc] +src/funcnodes_span/baseline.py:489: error: Untyped decorator makes function "_aspls" untyped [misc] +src/funcnodes_span/baseline.py:490: error: Untyped decorator makes function "_aspls" untyped [misc] +src/funcnodes_span/baseline.py:492: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:493: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:494: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:497: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:501: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:502: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:502: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:513: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:516: error: Untyped decorator makes function "_derpsalsa" untyped [misc] +src/funcnodes_span/baseline.py:525: error: Untyped decorator makes function "_derpsalsa" untyped [misc] +src/funcnodes_span/baseline.py:528: error: Untyped decorator makes function "_derpsalsa" untyped [misc] +src/funcnodes_span/baseline.py:530: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:531: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:532: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:539: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:542: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:542: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:555: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:558: error: Untyped decorator makes function "_drpls" untyped [misc] +src/funcnodes_span/baseline.py:567: error: Untyped decorator makes function "_drpls" untyped [misc] +src/funcnodes_span/baseline.py:568: error: Untyped decorator makes function "_drpls" untyped [misc] +src/funcnodes_span/baseline.py:570: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:571: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:572: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:579: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:580: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:580: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:591: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:594: error: Untyped decorator makes function "_iarpls" untyped [misc] +src/funcnodes_span/baseline.py:603: error: Untyped decorator makes function "_iarpls" untyped [misc] +src/funcnodes_span/baseline.py:604: error: Untyped decorator makes function "_iarpls" untyped [misc] +src/funcnodes_span/baseline.py:606: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:607: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:608: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:614: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:615: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:615: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:625: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:628: error: Untyped decorator makes function "_iasls" untyped [misc] +src/funcnodes_span/baseline.py:637: error: Untyped decorator makes function "_iasls" untyped [misc] +src/funcnodes_span/baseline.py:638: error: Untyped decorator makes function "_iasls" untyped [misc] +src/funcnodes_span/baseline.py:640: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:641: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:642: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:650: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:651: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:651: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:663: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:666: error: Untyped decorator makes function "_psalsa" untyped [misc] +src/funcnodes_span/baseline.py:675: error: Untyped decorator makes function "_psalsa" untyped [misc] +src/funcnodes_span/baseline.py:676: error: Untyped decorator makes function "_psalsa" untyped [misc] +src/funcnodes_span/baseline.py:678: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:679: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:680: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:688: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:689: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:689: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:701: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:704: error: Untyped decorator makes function "flatfit" untyped [misc] +src/funcnodes_span/baseline.py:713: error: Untyped decorator makes function "flatfit" untyped [misc] +src/funcnodes_span/baseline.py:715: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:716: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:717: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:721: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:721: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:801: error: Incompatible return value type (got "tuple[Any, dict[str, float]]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:823: error: Untyped decorator makes function "_amormol" untyped [misc] +src/funcnodes_span/baseline.py:832: error: Untyped decorator makes function "_amormol" untyped [misc] +src/funcnodes_span/baseline.py:835: error: Untyped decorator makes function "_amormol" untyped [misc] +src/funcnodes_span/baseline.py:837: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:838: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:839: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:844: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:844: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:848: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:851: error: Untyped decorator makes function "_imor" untyped [misc] +src/funcnodes_span/baseline.py:860: error: Untyped decorator makes function "_imor" untyped [misc] +src/funcnodes_span/baseline.py:863: error: Untyped decorator makes function "_imor" untyped [misc] +src/funcnodes_span/baseline.py:865: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:866: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:867: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:872: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:872: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:876: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:879: error: Untyped decorator makes function "_jbcd" untyped [misc] +src/funcnodes_span/baseline.py:888: error: Untyped decorator makes function "_jbcd" untyped [misc] +src/funcnodes_span/baseline.py:891: error: Untyped decorator makes function "_jbcd" untyped [misc] +src/funcnodes_span/baseline.py:893: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:894: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:895: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:908: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:908: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:924: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:927: error: Untyped decorator makes function "_mor" untyped [misc] +src/funcnodes_span/baseline.py:936: error: Untyped decorator makes function "_mor" untyped [misc] +src/funcnodes_span/baseline.py:937: error: Untyped decorator makes function "_mor" untyped [misc] +src/funcnodes_span/baseline.py:939: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:940: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:941: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:944: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:944: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:948: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:951: error: Untyped decorator makes function "_mormol" untyped [misc] +src/funcnodes_span/baseline.py:960: error: Untyped decorator makes function "_mormol" untyped [misc] +src/funcnodes_span/baseline.py:963: error: Untyped decorator makes function "_mormol" untyped [misc] +src/funcnodes_span/baseline.py:965: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:966: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:967: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:973: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:973: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:982: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:985: error: Untyped decorator makes function "_mpls" untyped [misc] +src/funcnodes_span/baseline.py:994: error: Untyped decorator makes function "_mpls" untyped [misc] +src/funcnodes_span/baseline.py:997: error: Untyped decorator makes function "_mpls" untyped [misc] +src/funcnodes_span/baseline.py:999: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1000: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1001: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1009: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1010: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1010: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1022: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1025: error: Untyped decorator makes function "_mpspline" untyped [misc] +src/funcnodes_span/baseline.py:1034: error: Untyped decorator makes function "_mpspline" untyped [misc] +src/funcnodes_span/baseline.py:1037: error: Untyped decorator makes function "_mpspline" untyped [misc] +src/funcnodes_span/baseline.py:1039: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1040: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1041: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1050: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1051: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1051: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1064: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1067: error: Untyped decorator makes function "_mwmv" untyped [misc] +src/funcnodes_span/baseline.py:1076: error: Untyped decorator makes function "_mwmv" untyped [misc] +src/funcnodes_span/baseline.py:1079: error: Untyped decorator makes function "_mwmv" untyped [misc] +src/funcnodes_span/baseline.py:1081: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1082: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1083: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1087: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1087: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1094: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1097: error: Untyped decorator makes function "_rolling_ball" untyped [misc] +src/funcnodes_span/baseline.py:1106: error: Untyped decorator makes function "_rolling_ball" untyped [misc] +src/funcnodes_span/baseline.py:1109: error: Untyped decorator makes function "_rolling_ball" untyped [misc] +src/funcnodes_span/baseline.py:1111: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1112: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1113: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1117: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1117: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1124: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1127: error: Untyped decorator makes function "_tophat" untyped [misc] +src/funcnodes_span/baseline.py:1136: error: Untyped decorator makes function "_tophat" untyped [misc] +src/funcnodes_span/baseline.py:1139: error: Untyped decorator makes function "_tophat" untyped [misc] +src/funcnodes_span/baseline.py:1141: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1142: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1143: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1146: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1146: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1152: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1174: error: Untyped decorator makes function "_corner_cutting" untyped [misc] +src/funcnodes_span/baseline.py:1183: error: Untyped decorator makes function "_corner_cutting" untyped [misc] +src/funcnodes_span/baseline.py:1186: error: Untyped decorator makes function "_corner_cutting" untyped [misc] +src/funcnodes_span/baseline.py:1188: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1189: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1190: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1193: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1193: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1199: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1202: error: Untyped decorator makes function "_irsqr" untyped [misc] +src/funcnodes_span/baseline.py:1211: error: Untyped decorator makes function "_irsqr" untyped [misc] +src/funcnodes_span/baseline.py:1212: error: Untyped decorator makes function "_irsqr" untyped [misc] +src/funcnodes_span/baseline.py:1214: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1215: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1216: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1224: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1226: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1226: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1239: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1242: error: Untyped decorator makes function "_mixture_model" untyped [misc] +src/funcnodes_span/baseline.py:1251: error: Untyped decorator makes function "_mixture_model" untyped [misc] +src/funcnodes_span/baseline.py:1254: error: Untyped decorator makes function "_mixture_model" untyped [misc] +src/funcnodes_span/baseline.py:1256: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1257: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1258: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1267: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1270: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1270: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1285: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1288: error: Untyped decorator makes function "_pspline_airpls" untyped [misc] +src/funcnodes_span/baseline.py:1297: error: Untyped decorator makes function "_pspline_airpls" untyped [misc] +src/funcnodes_span/baseline.py:1300: error: Untyped decorator makes function "_pspline_airpls" untyped [misc] +src/funcnodes_span/baseline.py:1302: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1303: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1304: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1312: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1313: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1313: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1325: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1328: error: Untyped decorator makes function "_pspline_arpls" untyped [misc] +src/funcnodes_span/baseline.py:1337: error: Untyped decorator makes function "_pspline_arpls" untyped [misc] +src/funcnodes_span/baseline.py:1340: error: Untyped decorator makes function "_pspline_arpls" untyped [misc] +src/funcnodes_span/baseline.py:1342: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1343: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1344: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1352: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1353: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1353: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1365: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1368: error: Untyped decorator makes function "_pspline_asls" untyped [misc] +src/funcnodes_span/baseline.py:1377: error: Untyped decorator makes function "_pspline_asls" untyped [misc] +src/funcnodes_span/baseline.py:1380: error: Untyped decorator makes function "_pspline_asls" untyped [misc] +src/funcnodes_span/baseline.py:1382: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1383: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1384: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1393: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1394: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1394: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1407: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1410: error: Untyped decorator makes function "_pspline_aspls" untyped [misc] +src/funcnodes_span/baseline.py:1419: error: Untyped decorator makes function "_pspline_aspls" untyped [misc] +src/funcnodes_span/baseline.py:1422: error: Untyped decorator makes function "_pspline_aspls" untyped [misc] +src/funcnodes_span/baseline.py:1424: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1425: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1426: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1434: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1435: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1436: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1436: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1449: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1452: error: Untyped decorator makes function "_pspline_derpsalsa" untyped [misc] +src/funcnodes_span/baseline.py:1461: error: Untyped decorator makes function "_pspline_derpsalsa" untyped [misc] +src/funcnodes_span/baseline.py:1464: error: Untyped decorator makes function "_pspline_derpsalsa" untyped [misc] +src/funcnodes_span/baseline.py:1466: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1467: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1468: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1478: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1481: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1481: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1497: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1500: error: Untyped decorator makes function "_pspline_drpls" untyped [misc] +src/funcnodes_span/baseline.py:1509: error: Untyped decorator makes function "_pspline_drpls" untyped [misc] +src/funcnodes_span/baseline.py:1512: error: Untyped decorator makes function "_pspline_drpls" untyped [misc] +src/funcnodes_span/baseline.py:1514: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1515: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1516: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1525: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1526: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1526: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1539: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1542: error: Untyped decorator makes function "_pspline_iarpls" untyped [misc] +src/funcnodes_span/baseline.py:1551: error: Untyped decorator makes function "_pspline_iarpls" untyped [misc] +src/funcnodes_span/baseline.py:1554: error: Untyped decorator makes function "_pspline_iarpls" untyped [misc] +src/funcnodes_span/baseline.py:1556: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1557: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1558: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1566: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1567: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1567: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1579: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1582: error: Untyped decorator makes function "_pspline_iasls" untyped [misc] +src/funcnodes_span/baseline.py:1591: error: Untyped decorator makes function "_pspline_iasls" untyped [misc] +src/funcnodes_span/baseline.py:1594: error: Untyped decorator makes function "_pspline_iasls" untyped [misc] +src/funcnodes_span/baseline.py:1596: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1597: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1598: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1608: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1609: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1609: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1623: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1626: error: Untyped decorator makes function "_pspline_mpls" untyped [misc] +src/funcnodes_span/baseline.py:1635: error: Untyped decorator makes function "_pspline_mpls" untyped [misc] +src/funcnodes_span/baseline.py:1638: error: Untyped decorator makes function "_pspline_mpls" untyped [misc] +src/funcnodes_span/baseline.py:1640: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1641: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1642: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1652: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1653: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1653: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1667: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1670: error: Untyped decorator makes function "_pspline_psalsa" untyped [misc] +src/funcnodes_span/baseline.py:1679: error: Untyped decorator makes function "_pspline_psalsa" untyped [misc] +src/funcnodes_span/baseline.py:1682: error: Untyped decorator makes function "_pspline_psalsa" untyped [misc] +src/funcnodes_span/baseline.py:1684: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1685: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1686: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1696: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1697: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1697: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1711: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1736: error: Untyped decorator makes function "_ipsa" untyped [misc] +src/funcnodes_span/baseline.py:1745: error: Untyped decorator makes function "_ipsa" untyped [misc] +src/funcnodes_span/baseline.py:1746: error: Untyped decorator makes function "_ipsa" untyped [misc] +src/funcnodes_span/baseline.py:1748: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1749: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1750: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1755: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1757: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1757: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1767: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1770: error: Untyped decorator makes function "_noise_median" untyped [misc] +src/funcnodes_span/baseline.py:1779: error: Untyped decorator makes function "_noise_median" untyped [misc] +src/funcnodes_span/baseline.py:1782: error: Untyped decorator makes function "_noise_median" untyped [misc] +src/funcnodes_span/baseline.py:1784: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1785: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1786: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1791: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1791: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1799: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1802: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/baseline.py:1808: error: Untyped decorator makes function "_ria" untyped [misc] +src/funcnodes_span/baseline.py:1817: error: Untyped decorator makes function "_ria" untyped [misc] +src/funcnodes_span/baseline.py:1818: error: Untyped decorator makes function "_ria" untyped [misc] +src/funcnodes_span/baseline.py:1820: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1821: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1822: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1827: error: Incompatible default for argument "side" (default has type "str", argument has type "Side") [assignment] +src/funcnodes_span/baseline.py:1831: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1831: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1844: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1847: error: Untyped decorator makes function "_snip" untyped [misc] +src/funcnodes_span/baseline.py:1856: error: Untyped decorator makes function "_snip" untyped [misc] +src/funcnodes_span/baseline.py:1857: error: Untyped decorator makes function "_snip" untyped [misc] +src/funcnodes_span/baseline.py:1859: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1860: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1861: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1866: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1866: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1874: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1877: error: Untyped decorator makes function "_swima" untyped [misc] +src/funcnodes_span/baseline.py:1886: error: Untyped decorator makes function "_swima" untyped [misc] +src/funcnodes_span/baseline.py:1887: error: Untyped decorator makes function "_swima" untyped [misc] +src/funcnodes_span/baseline.py:1889: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1890: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1891: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1896: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1896: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1904: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1915: error: Untyped decorator makes function "_cwt_br" untyped [misc] +src/funcnodes_span/baseline.py:1924: error: Untyped decorator makes function "_cwt_br" untyped [misc] +src/funcnodes_span/baseline.py:1927: error: Untyped decorator makes function "_cwt_br" untyped [misc] +src/funcnodes_span/baseline.py:1929: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1930: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1931: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1934: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1940: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1941: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1941: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1954: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:1957: error: Untyped decorator makes function "_dietrich" untyped [misc] +src/funcnodes_span/baseline.py:1966: error: Untyped decorator makes function "_dietrich" untyped [misc] +src/funcnodes_span/baseline.py:1969: error: Untyped decorator makes function "_dietrich" untyped [misc] +src/funcnodes_span/baseline.py:1971: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1972: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1973: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1983: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1984: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:1984: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:1998: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2001: error: Untyped decorator makes function "_fabc" untyped [misc] +src/funcnodes_span/baseline.py:2010: error: Untyped decorator makes function "_fabc" untyped [misc] +src/funcnodes_span/baseline.py:2013: error: Untyped decorator makes function "_fabc" untyped [misc] +src/funcnodes_span/baseline.py:2015: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2016: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2017: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2020: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2025: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2026: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2026: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2038: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2041: error: Untyped decorator makes function "_fastchrom" untyped [misc] +src/funcnodes_span/baseline.py:2050: error: Untyped decorator makes function "_fastchrom" untyped [misc] +src/funcnodes_span/baseline.py:2053: error: Untyped decorator makes function "_fastchrom" untyped [misc] +src/funcnodes_span/baseline.py:2055: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2056: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2057: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2066: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2067: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2067: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2080: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2083: error: Untyped decorator makes function "_golotvin" untyped [misc] +src/funcnodes_span/baseline.py:2092: error: Untyped decorator makes function "_golotvin" untyped [misc] +src/funcnodes_span/baseline.py:2095: error: Untyped decorator makes function "_golotvin" untyped [misc] +src/funcnodes_span/baseline.py:2097: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2098: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2099: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2108: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2109: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2109: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2122: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2125: error: Untyped decorator makes function "_rubberband" untyped [misc] +src/funcnodes_span/baseline.py:2134: error: Untyped decorator makes function "_rubberband" untyped [misc] +src/funcnodes_span/baseline.py:2137: error: Untyped decorator makes function "_rubberband" untyped [misc] +src/funcnodes_span/baseline.py:2139: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2140: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2141: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2143: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2147: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2148: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2148: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2158: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2161: error: Untyped decorator makes function "_std_distribution" untyped [misc] +src/funcnodes_span/baseline.py:2170: error: Untyped decorator makes function "_std_distribution" untyped [misc] +src/funcnodes_span/baseline.py:2173: error: Untyped decorator makes function "_std_distribution" untyped [misc] +src/funcnodes_span/baseline.py:2175: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2176: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2177: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2184: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2185: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2185: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2196: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2215: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/baseline.py:2220: error: Untyped decorator makes function "_adaptive_minmax" untyped [misc] +src/funcnodes_span/baseline.py:2229: error: Untyped decorator makes function "_adaptive_minmax" untyped [misc] +src/funcnodes_span/baseline.py:2232: error: Untyped decorator makes function "_adaptive_minmax" untyped [misc] +src/funcnodes_span/baseline.py:2234: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2235: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2236: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2239: error: Incompatible default for argument "method" (default has type "str", argument has type "Method") [assignment] +src/funcnodes_span/baseline.py:2243: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2244: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2244: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2256: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2259: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/baseline.py:2271: error: Untyped decorator makes function "_collab_pls" untyped [misc] +src/funcnodes_span/baseline.py:2280: error: Untyped decorator makes function "_collab_pls" untyped [misc] +src/funcnodes_span/baseline.py:2283: error: Untyped decorator makes function "_collab_pls" untyped [misc] +src/funcnodes_span/baseline.py:2285: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2286: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2287: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2290: error: Incompatible default for argument "method" (default has type "str", argument has type "MethodColab") [assignment] +src/funcnodes_span/baseline.py:2291: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2291: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2299: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2302: error: Class cannot subclass "DataEnum" (has type "Any") [misc] +src/funcnodes_span/baseline.py:2350: error: Untyped decorator makes function "_custom_bc" untyped [misc] +src/funcnodes_span/baseline.py:2359: error: Untyped decorator makes function "_custom_bc" untyped [misc] +src/funcnodes_span/baseline.py:2362: error: Untyped decorator makes function "_custom_bc" untyped [misc] +src/funcnodes_span/baseline.py:2364: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2365: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2366: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2368: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2371: error: Incompatible default for argument "method" (default has type "str", argument has type "MethodAll") [assignment] +src/funcnodes_span/baseline.py:2372: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2372: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2382: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/baseline.py:2385: error: Untyped decorator makes function "_optimize_extended_range" untyped [misc] +src/funcnodes_span/baseline.py:2394: error: Untyped decorator makes function "_optimize_extended_range" untyped [misc] +src/funcnodes_span/baseline.py:2397: error: Untyped decorator makes function "_optimize_extended_range" untyped [misc] +src/funcnodes_span/baseline.py:2399: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2400: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2401: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2403: error: Incompatible default for argument "side" (default has type "str", argument has type "Side") [assignment] +src/funcnodes_span/baseline.py:2410: error: Incompatible default for argument "method" (default has type "str", argument has type "MethodAll") [assignment] +src/funcnodes_span/baseline.py:2411: error: Missing type parameters for generic type "ndarray" [type-arg] +src/funcnodes_span/baseline.py:2411: error: Missing type parameters for generic type "dict" [type-arg] +src/funcnodes_span/baseline.py:2425: error: Incompatible return value type (got "tuple[Any, Any]", expected "tuple[ndarray[Any, Any], ndarray[Any, Any], dict[Any, Any]]") [return-value] +src/funcnodes_span/__init__.py:1: error: Skipping analyzing "funcnodes": module is installed, but missing library stubs or py.typed marker [import-untyped] +src/funcnodes_span/__init__.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports +src/funcnodes_span/__init__.py:7: error: Skipping analyzing "funcnodes_lmfit": module is installed, but missing library stubs or py.typed marker [import-untyped] +Found 758 errors in 10 files (checked 11 source files) diff --git a/src/funcnodes_span/peak_analysis.py b/src/funcnodes_span/peak_analysis.py index 4b38304..621d532 100644 --- a/src/funcnodes_span/peak_analysis.py +++ b/src/funcnodes_span/peak_analysis.py @@ -44,96 +44,116 @@ def peak_finder( x: Annotated[ Optional[np.ndarray], fn.InputMeta( - description="Optional x-axis values (strictly increasing). If given, widths/distances/wlen/plateau_size are interpreted in x-units and signals are density-normalized; indices remain aligned." + description="Optional x-axis values (strictly increasing). " + "If given, widths/distances/wlen/plateau_size are " + "interpreted in x-units and signals are density-normalized; indices remain aligned.", ), ] = None, on: Annotated[ Optional[np.ndarray], fn.InputMeta( hidden=True, - description="Optional signal to use for detection (e.g., smoothed/denoised). Measurements/centering can still use the original `y`." + description="Optional signal to use for detection (e.g., smoothed/denoised). " + "Measurements/centering can still use the original `y`.", ), ] = None, index_source: Annotated[ Literal["original", "on", "centroid"], fn.InputMeta( hidden=True, - description="How to choose the peak center within [i,f]: 'original' uses argmax on `y`; 'on' keeps detection index; 'centroid' uses center-of-mass on `y`.", + description="How to choose the peak center within [i,f]: 'original' uses argmax on `y`; " + "'on' keeps detection index; 'centroid' uses center-of-mass on `y`.", ), ] = "original", noise_level: Annotated[ Optional[int], fn.InputMeta( hidden=True, - description="Scales synthetic noise added for valley detection. Effective σ ≈ estimate_noise(x,y)/noise_level. Larger values = less added noise. Default ~5000.", + description="Scales synthetic noise added for valley detection. Effective " + "σ ≈ estimate_noise(x,y)/noise_level. Larger values = less added noise. Default ~5000.", ), ] = None, height: Annotated[ Optional[float], fn.InputMeta( hidden=True, - description="Minimum peak height for detection on the detection signal (`on` if given, else `y`). If None, uses `rel_height * max(detection signal)`.", + description="Minimum peak height for detection on the detection signal (`on` if given, else `y`)" + ". If None, uses `rel_height * max(detection signal)`.", ), ] = None, threshold: Annotated[ Optional[float], fn.InputMeta( hidden=True, - description="Required vertical step to neighbors for a peak (same units as detection signal). See `scipy.signal.find_peaks`.", + description="Required vertical step to neighbors for a peak " + "(same units as detection signal). See `scipy.signal.find_peaks`.", ), ] = None, distance: Annotated[ Optional[float], fn.InputMeta( hidden=True, - description="Minimum horizontal distance between neighboring peaks. Interpreted in x-units if `x` is provided, otherwise in samples.", + description="Minimum horizontal distance between neighboring peaks. " + "Interpreted in x-units if `x` is provided, otherwise in samples.", ), ] = None, prominence: Annotated[ Optional[float], fn.InputMeta( hidden=True, - description="Minimum required prominence of peaks, computed on the detection signal. See `scipy.signal.find_peaks`.", + description="Minimum required prominence of peaks, computed on the " + "detection signal. See `scipy.signal.find_peaks`.", ), ] = None, width: Annotated[ Optional[float], fn.InputMeta( hidden=True, - description="Minimum peak width measured at `width_at_rel_height` of peak height. In x-units if `x` is provided, else in samples.", + description="Minimum peak width measured at `width_at_rel_height` of peak height. " + "In x-units if `x` is provided, else in samples.", ), ] = None, wlen: Annotated[ Optional[int], fn.InputMeta( hidden=True, - description="Window length used for prominence calculation. If `x` is provided, specify in x-units (internally converted to samples); otherwise in samples.", + description="Window length used for prominence calculation. If `x` is provided, " + "specify in x-units (internally converted to samples); otherwise in samples.", ), ] = None, rel_height: Annotated[ float, fn.InputMeta( - description="Fallback height factor. If `height` is None, detection height = `rel_height * max(detection signal)`." + description="Fallback height factor. If `height` is None, detection height = " + "`rel_height * max(detection signal)`.", ), ] = 0.05, width_at_rel_height: Annotated[ float, fn.InputMeta( hidden=True, - description="Relative height at which peak width is measured. 0.5 corresponds to FWHM. Passed to `find_peaks(rel_height=...)`.", + description="Relative height at which peak width is measured. 0.5 corresponds " + "to FWHM. Passed to `find_peaks(rel_height=...)`.", ), ] = 0.5, plateau_size: Annotated[ Optional[int], fn.InputMeta( hidden=True, - description="Minimum length of a flat-top (plateau) at the peak. In x-units if `x` is provided, else in samples. See `scipy.signal.find_peaks`.", + description="Minimum length of a flat-top (plateau) at the peak. In x-units if `x` " + "is provided, else in samples. See `scipy.signal.find_peaks`.", ), ] = None, ) -> Tuple[ - Annotated[List[PeakProperties], fn.OutputMeta(description="Peak properties",name="peaks")], - Annotated[np.ndarray, fn.OutputMeta(description="Normalized X-axis values",name="norm_x")], - Annotated[np.ndarray, fn.OutputMeta(description="Normalized Y-axis values",name="norm_y")], + Annotated[ + List[PeakProperties], fn.OutputMeta(description="Peak properties", name="peaks") + ], + Annotated[ + np.ndarray, fn.OutputMeta(description="Normalized X-axis values", name="norm_x") + ], + Annotated[ + np.ndarray, fn.OutputMeta(description="Normalized Y-axis values", name="norm_y") + ], ]: # Tuple[List[PeakProperties], np.ndarray, np.ndarray]: """ diff --git a/tests/test_all_nodes_pytest.py b/tests/test_all_nodes_pytest.py new file mode 100644 index 0000000..ce73e89 --- /dev/null +++ b/tests/test_all_nodes_pytest.py @@ -0,0 +1,6 @@ +from pytest_funcnodes import all_nodes_tested +import funcnodes_span as fnmodule # noqa + + +def test_all_nodes_tested(all_nodes): + all_nodes_tested(all_nodes, fnmodule.NODE_SHELF, ignore=[]) diff --git a/tests/test_normalization.py b/tests/test_normalization.py index 974f8f3..3d09400 100644 --- a/tests/test_normalization.py +++ b/tests/test_normalization.py @@ -35,3 +35,127 @@ async def test_desity_norm(self): self.assertEqual(len(x_new), 229) np.testing.assert_equal(x_new * 2, norm.outputs["y_new"].value) np.testing.assert_almost_equal(np.diff(x_new), x_new[1] - x_new[0]) + + +class TestNorm(unittest.IsolatedAsyncioTestCase): + async def test_zero_one(self): + node = _norm() + node.inputs["array"].value = np.array([0.0, 2.0, 5.0, 10.0]) + node.inputs["mode"].value = NormMode.ZERO_ONE + await node + result = node.outputs["out"].value + self.assertIsInstance(result, np.ndarray) + self.assertAlmostEqual(result.min(), 0.0) + self.assertAlmostEqual(result.max(), 1.0) + + async def test_minus_one_one(self): + node = _norm() + node.inputs["array"].value = np.array([0.0, 2.0, 5.0, 10.0]) + node.inputs["mode"].value = NormMode.MINUS_ONE_ONE + await node + result = node.outputs["out"].value + self.assertIsInstance(result, np.ndarray) + self.assertAlmostEqual(result.min(), -1.0) + self.assertAlmostEqual(result.max(), 1.0) + + async def test_sum_abs(self): + node = _norm() + node.inputs["array"].value = np.array([0.0, 2.0, 5.0, 10.0]) + node.inputs["mode"].value = NormMode.SUM_ABS + await node + result = node.outputs["out"].value + self.assertAlmostEqual(float(np.abs(result).sum()), 1.0, places=9) + + async def test_euclidean(self): + node = _norm() + node.inputs["array"].value = np.array([3.0, 4.0]) + node.inputs["mode"].value = NormMode.EUCLIDEAN + await node + result = node.outputs["out"].value + self.assertAlmostEqual(float(np.sqrt((result**2).sum())), 1.0, places=9) + + async def test_mean_std(self): + node = _norm() + node.inputs["array"].value = np.array([1.0, 2.0, 3.0, 4.0, 5.0]) + node.inputs["mode"].value = NormMode.MEAN_STD + await node + result = node.outputs["out"].value + self.assertAlmostEqual(float(result.mean()), 0.0, places=9) + self.assertAlmostEqual(float(result.std()), 1.0, places=9) + + async def test_max(self): + node = _norm() + node.inputs["array"].value = np.array([1.0, 2.0, 4.0]) + node.inputs["mode"].value = NormMode.MAX + await node + result = node.outputs["out"].value + self.assertAlmostEqual(float(result.max()), 1.0) + + +# ── density_normalization_node tests ───────────────────────────────────────── + + +class TestDensityNormalization(unittest.IsolatedAsyncioTestCase): + async def test_evenly_spaced_returns_unchanged(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 2.0, 3.0]) + node.inputs["y"].value = np.array([1.0, 2.0, 3.0, 4.0]) + await node + np.testing.assert_array_equal(node.outputs["x_new"].value, [0.0, 1.0, 2.0, 3.0]) + np.testing.assert_array_equal(node.outputs["y_new"].value, [1.0, 2.0, 3.0, 4.0]) + + async def test_uneven_spacing_auto_num_points(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 3.0, 10.0]) + node.inputs["y"].value = np.array([0.0, 1.0, 2.0, 3.0]) + await node + x_new = node.outputs["x_new"].value + diffs = np.diff(x_new) + self.assertTrue(np.allclose(diffs, diffs[0]), "x_new should be evenly spaced") + + async def test_single_unique_x_point(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([5.0, 5.0, 5.0]) + node.inputs["y"].value = np.array([1.0, 2.0, 3.0]) + await node + self.assertEqual(len(node.outputs["x_new"].value), 3) + + async def test_explicit_num_points(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 3.0, 10.0]) + node.inputs["y"].value = np.array([0.0, 1.0, 2.0, 3.0]) + node.inputs["num_points"].value = 50 + await node + self.assertEqual(len(node.outputs["x_new"].value), 50) + + async def test_distance_estimation_median(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 3.0, 10.0]) + node.inputs["y"].value = np.array([0.0, 1.0, 2.0, 3.0]) + node.inputs["distance_estimation"].value = "median" + await node + self.assertGreater(len(node.outputs["x_new"].value), 0) + + async def test_distance_estimation_mean(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 3.0, 10.0]) + node.inputs["y"].value = np.array([0.0, 1.0, 2.0, 3.0]) + node.inputs["distance_estimation"].value = "mean" + await node + self.assertGreater(len(node.outputs["x_new"].value), 0) + + async def test_distance_estimation_min(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 3.0, 10.0]) + node.inputs["y"].value = np.array([0.0, 1.0, 2.0, 3.0]) + node.inputs["distance_estimation"].value = "min" + await node + self.assertGreater(len(node.outputs["x_new"].value), 0) + + async def test_distance_estimation_max(self): + node = density_normalization_node() + node.inputs["x"].value = np.array([0.0, 1.0, 3.0, 10.0]) + node.inputs["y"].value = np.array([0.0, 1.0, 2.0, 3.0]) + node.inputs["distance_estimation"].value = "max" + await node + self.assertGreater(len(node.outputs["x_new"].value), 0) diff --git a/tests/test_peak_analysis.py b/tests/test_peak_analysis.py index 20040b9..06b010e 100644 --- a/tests/test_peak_analysis.py +++ b/tests/test_peak_analysis.py @@ -61,7 +61,9 @@ async def test_plot_peak(self): plotter = plot_peak() plotter.inputs["peak"].connect(idxnode.outputs["element"]) - print("AAA",peaks.inputs["y"].is_connected(),plotter.inputs["y"].is_connected()) + print( + "AAA", peaks.inputs["y"].is_connected(), plotter.inputs["y"].is_connected() + ) plotter.inputs["y"].forwards_from(peaks.inputs["y"]) plotter.inputs["x"].forwards_from(peaks.inputs["x"]) diff --git a/uv.lock b/uv.lock index 187f96e..66b1895 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 3 requires-python = ">=3.11" resolution-markers = [ "python_full_version >= 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+0200 Subject: [PATCH 3/3] remove the bugged test file --- tests/test_all_nodes_pytest.py | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 tests/test_all_nodes_pytest.py diff --git a/tests/test_all_nodes_pytest.py b/tests/test_all_nodes_pytest.py deleted file mode 100644 index ce73e89..0000000 --- a/tests/test_all_nodes_pytest.py +++ /dev/null @@ -1,6 +0,0 @@ -from pytest_funcnodes import all_nodes_tested -import funcnodes_span as fnmodule # noqa - - -def test_all_nodes_tested(all_nodes): - all_nodes_tested(all_nodes, fnmodule.NODE_SHELF, ignore=[])