xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

3909077e67c071a9d87d1506b85fb554b4a414db

15,150

py

Python

notebooks/classification/plotting_utils.py

LaudateCorpus1/macest

0a6b7bd26a31900a55164c75938c074c116c78f6

[ "UPL-1.0", "Apache-2.0" ]

88

2021-08-20T15:34:10.000Z

2022-03-17T04:26:20.000Z

notebooks/classification/plotting_utils.py

LaudateCorpus1/macest

0a6b7bd26a31900a55164c75938c074c116c78f6

[ "UPL-1.0", "Apache-2.0" ]

3

2022-01-09T17:11:36.000Z

2022-03-02T00:43:03.000Z

notebooks/classification/plotting_utils.py

LaudateCorpus1/macest

0a6b7bd26a31900a55164c75938c074c116c78f6

[ "UPL-1.0", "Apache-2.0" ]

11

2021-08-23T15:28:08.000Z

2022-02-18T01:29:24.000Z

"""Module containing plotting utility functions for use in example notebooks.""" from typing import Optional, Tuple from matplotlib.axes import Axes from macest.classification.models import ModelWithConfidence from matplotlib import cm import matplotlib.pyplot as plt import numpy as np from sklearn.ensemble import RandomForestClassifier SklearnModelType = RandomForestClassifier def plot_prediction_conf_surface(low_range: float, up_range: float, sklearn_model: SklearnModelType, X_pp_train: np.ndarray, y_pp_train: Optional[np.ndarray] = None, plot_training_data=True): """Plot the predictions' confidence surface.""" x1_ne = np.random.uniform(-low_range, low_range, 10 ** 4) x2_ne = np.random.uniform(-low_range, low_range, 10 ** 4) points_ne = np.array((x1_ne, x2_ne)).T x1_fa = np.random.uniform(-up_range, up_range, 10 ** 4) x2_fa = np.random.uniform(-up_range, up_range, 10 ** 4) points_fa = np.array((x1_fa, x2_fa)).T fig, ax = plt.subplots(ncols=2, nrows=2, figsize=(16, 12), ) h0 = ax[0, 0].tricontourf(x1_ne, x2_ne, sklearn_model.predict(points_ne), cmap=cm.get_cmap('rainbow', 2), alpha=.9) g0 = ax[0, 1].tricontourf(x1_ne, x2_ne, np.amax(sklearn_model.predict_proba(points_ne), axis=1), vmin=0., vmax=1, cmap=cm.get_cmap('viridis')) h1 = ax[1, 0].tricontourf(x1_fa, x2_fa, sklearn_model.predict(points_fa), extend='both', cmap=cm.get_cmap('rainbow', 2), alpha=.9) g1 = ax[1, 1].tricontourf(x1_fa, x2_fa, np.amax(sklearn_model.predict_proba(points_fa), axis=1), vmin=0., vmax=1., cmap=cm.viridis) if plot_training_data: ax[0, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, cmap=cm.rainbow, edgecolors='black') ax[0, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, cmap=cm.get_cmap('rainbow', 2), edgecolors='black') ax[1, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, edgecolors='black', cmap=cm.get_cmap('rainbow', 2)) ax[1, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, alpha=0.9, cmap=cm.get_cmap('rainbow', 2), edgecolors='black') fig.colorbar(h1, ax=[ax[0, 0], ax[1, 0]], ticks=np.arange(0.0, len(np.unique(y_pp_train)) + 0.1, 1), label='prediction') fig.colorbar(g1, ax=[ax[0, 1], ax[1, 1]], ticks=np.arange(0.0, 1.01, 0.1), label='Confidence') _set_axes_labels(ax) def plot_prediction_conf_surface_multiclass(low_range: float, up_range: float, sklearn_model: SklearnModelType, X_pp_train: np.ndarray, y_pp_train: np.ndarray, plot_training_data=True): """Plot the predictions' confidence surface for the multiclass case.""" x1_ne = np.random.uniform(-low_range, low_range, 10 ** 4) x2_ne = np.random.uniform(-low_range, low_range, 10 ** 4) points_ne = np.array((x1_ne, x2_ne)).T x1_fa = np.random.uniform(-up_range, up_range, 10 ** 4) x2_fa = np.random.uniform(-up_range, up_range, 10 ** 4) points_fa = np.array((x1_fa, x2_fa)).T fig, ax = plt.subplots(ncols=2, nrows=2, figsize=(16, 12), ) h0 = ax[0, 0].tricontourf(x1_ne, x2_ne, sklearn_model.predict(points_ne), cmap=cm.get_cmap('rainbow', len(np.unique(y_pp_train))), alpha=.9) g0 = ax[0, 1].tricontourf(x1_ne, x2_ne, np.amax(sklearn_model.predict_proba(points_ne), axis=1), vmin=0., vmax=1, cmap=cm.get_cmap('viridis')) h1 = ax[1, 0].tricontourf(x1_fa, x2_fa, sklearn_model.predict(points_fa), cmap=cm.get_cmap('rainbow', len(np.unique(y_pp_train))), alpha=.9) g1 = ax[1, 1].tricontourf(x1_fa, x2_fa, np.amax(sklearn_model.predict_proba(points_fa), axis=1), vmin=0., vmax=1., cmap=cm.viridis) if plot_training_data: ax[0, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, cmap=cm.rainbow, edgecolors='black') ax[0, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, cmap=cm.get_cmap('rainbow', len(np.unique(y_pp_train))), edgecolors='black') ax[1, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, edgecolors='black', cmap=cm.get_cmap('rainbow', len(np.unique(y_pp_train)))) ax[1, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, alpha=0.9, cmap=cm.get_cmap('rainbow', 4), edgecolors='black') fig.colorbar(h0, ax=[ax[0, 0], ax[1, 0]], ticks=np.arange(0., len(np.unique(y_pp_train)) + 0.1, 1), label='prediction') fig.colorbar(g1, ax=[ax[0, 1], ax[1, 1]], ticks=np.arange(0.0, 1.01, 0.1), label='Confidence') _set_axes_labels(ax) def plot_macest_sklearn_comparison_surface(low_range: float, up_range: float, macest_model: ModelWithConfidence, sklearn_model: SklearnModelType, X_pp_train: Optional[np.ndarray] = None, y_pp_train: Optional[np.ndarray] = None, plot_training_data=True): """Plot a comparison of MACE with the original Sklearn model.""" x1_ne = np.random.uniform(-low_range, low_range, 10 ** 4) x2_ne = np.random.uniform(-low_range, low_range, 10 ** 4) points_ne = np.array((x1_ne, x2_ne)).T x1_fa = np.random.uniform(-up_range, up_range, 10 ** 4) x2_fa = np.random.uniform(-up_range, up_range, 10 ** 4) points_fa = np.array((x1_fa, x2_fa)).T fig, ax = plt.subplots(ncols=2, nrows=2, figsize=(16, 12), ) h0 = ax[0, 0].tricontourf(x1_ne, x2_ne, macest_model.predict_confidence_of_point_prediction(points_ne), vmin=0., vmax=1, cmap=cm.viridis) g0 = ax[0, 1].tricontourf(x1_ne, x2_ne, np.amax(sklearn_model.predict_proba(points_ne), axis=1), vmin=0., vmax=1, cmap=cm.viridis) if plot_training_data: ax[0, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, cmap=cm.rainbow, edgecolors='black') ax[0, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, alpha=0.9, edgecolors='black', cmap=cm.rainbow) h1 = ax[1, 0].tricontourf(x1_fa, x2_fa, macest_model.predict_confidence_of_point_prediction(points_fa), vmin=0., vmax=1, cmap=cm.viridis) ax[1, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, edgecolors='black', cmap=cm.get_cmap('rainbow', 2)) g1 = ax[1, 1].tricontourf(x1_fa, x2_fa, np.amax(sklearn_model.predict_proba(points_fa), axis=1), vmin=0., vmax=1., cmap=cm.viridis) ax[1, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, alpha=0.9, cmap=cm.get_cmap('rainbow', 2), edgecolors='black') fig.colorbar(h1, ax=ax.ravel().tolist(), ticks=np.arange(0., 1.01, 0.1), label='Confidence') ax[0, 0].set_title('MACEst') ax[1, 0].set_title('MACEst') ax[0, 1].set_title(f'{sklearn_model.__class__.__name__}') ax[1, 1].set_title(f'{sklearn_model.__class__.__name__}') _set_axes_labels(ax) def plot_macest_sklearn_comparison_surface_multiclass(low_range: float, up_range: float, macest_model: ModelWithConfidence, sklearn_model: SklearnModelType, X_pp_train: np.ndarray, y_pp_train: np.ndarray, plot_training_data=True): """Plot a comparison of MACE with the original Sklearn model for the multiclass case.""" x1_ne = np.random.uniform(-low_range, low_range, 10 ** 4) x2_ne = np.random.uniform(-low_range, low_range, 10 ** 4) points_ne = np.array((x1_ne, x2_ne)).T x1_fa = np.random.uniform(-up_range, up_range, 10 ** 4) x2_fa = np.random.uniform(-up_range, up_range, 10 ** 4) points_fa = np.array((x1_fa, x2_fa)).T fig, ax = plt.subplots(ncols=2, nrows=2, figsize=(16, 12), ) h0 = ax[0, 0].tricontourf(x1_ne, x2_ne, macest_model.predict_confidence_of_point_prediction(points_ne), vmin=0., vmax=1, cmap=cm.viridis) g0 = ax[0, 1].tricontourf(x1_ne, x2_ne, np.amax(sklearn_model.predict_proba(points_ne), axis=1), vmin=0., vmax=1, cmap=cm.viridis) if plot_training_data: ax[0, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, cmap=cm.rainbow, edgecolors='black') ax[0, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, alpha=0.9, edgecolors='black', cmap=cm.rainbow) h1 = ax[1, 0].tricontourf(x1_fa, x2_fa, macest_model.predict_confidence_of_point_prediction(points_fa), vmin=0., vmax=1, cmap=cm.viridis) ax[1, 0].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, edgecolors='black', cmap=cm.get_cmap('rainbow', len(np.unique(y_pp_train)))) g1 = ax[1, 1].tricontourf(x1_fa, x2_fa, np.amax(sklearn_model.predict_proba(points_fa), axis=1), vmin=0., vmax=1., cmap=cm.viridis) ax[1, 1].scatter(X_pp_train[:, 0], X_pp_train[:, 1], c=y_pp_train, alpha=0.9, cmap=cm.get_cmap('rainbow', len(np.unique(y_pp_train))), edgecolors='black') fig.colorbar(h1, ax=ax.ravel().tolist(), ticks=np.arange(0., 1.01, 0.1), label='Confidence') ax[0, 0].set_title('MACEst') ax[1, 0].set_title('MACEst') ax[0, 1].set_title(f'{sklearn_model.__class__.__name__}') ax[1, 1].set_title(f'{sklearn_model.__class__.__name__}') _set_axes_labels(ax) def _set_axes_labels(ax, x_label: str = "x1", y_label: str = "x2", fontsize: int = 18) -> None: ax[0, 0].set_xlabel(x_label, fontsize=fontsize) ax[0, 1].set_xlabel(x_label, fontsize=fontsize) ax[0, 0].set_ylabel(y_label, fontsize=fontsize) ax[0, 1].set_ylabel(y_label, fontsize=fontsize) ax[1, 0].set_xlabel(x_label, fontsize=fontsize) ax[1, 1].set_xlabel(x_label, fontsize=fontsize) ax[1, 0].set_ylabel(y_label, fontsize=fontsize) ax[1, 1].set_ylabel(y_label, fontsize=fontsize) def make_funky_star(n_arms: int, n_points: int) -> np.ndarray: """Generate a star shaped data distribution.""" arms = n_arms points_per_arm = int(n_points / arms) angs = np.arange(np.pi / arms, np.pi + 0.001, np.pi / arms) cov = np.array([[6, 5.93], [5.93, 6]]) a = np.random.multivariate_normal((0, 0), cov, points_per_arm) arms = [] for theta in angs: c, s = np.cos(theta), np.sin(theta) R = np.array(((c, -s), (s, c))) arms.append(R.dot(a.T).T) star = np.vstack(arms) return star def make_star_classes(n_arms: int, n_points: int, n_classes: int) -> np.ndarray: """Generate classes for the star shaped data distribution.""" n_points_per_arm = int(n_points / n_classes) y = np.zeros((int(n_arms), int(n_points_per_arm))) for i in range(n_arms): j = np.mod(i, n_classes) y[i, :] = j * np.ones(int(n_points_per_arm)) y = y.flatten() return y def make_two_spirals(r: float, n_rotations: int, n_points: int, noise: float) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: """Generate spirals for the binary classification example.""" theta = np.linspace(0, 2 * np.pi * n_rotations, n_points) r0 = r * theta x_20 = r0 * np.cos(theta) + np.random.normal(0, noise, n_points) y_20 = r0 * np.sin(theta) + np.random.normal(0, noise, n_points) r1 = r * theta x_21 = - r1 * np.cos(theta) + np.random.normal(-0.4 , noise, n_points) y_21 = - r1 * np.sin(theta) + np.random.normal(0.4, noise, n_points) return x_20, x_21, y_20, y_21

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391f99902a48b14b3833191a07aba6657ce1f346

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py

Python

fixed_file/__int__.py

DanielCastriani/Fixed-Width-File-Parser

fc8e4c00aaf703d5b2090854c708f9837591c480

[ "MIT" ]

null

fixed_file/__int__.py

DanielCastriani/Fixed-Width-File-Parser

fc8e4c00aaf703d5b2090854c708f9837591c480

[ "MIT" ]

null

fixed_file/__int__.py

DanielCastriani/Fixed-Width-File-Parser

fc8e4c00aaf703d5b2090854c708f9837591c480

[ "MIT" ]

null

from fixed_file.parse import FixedFile from fixed_file.layout import Layout

25.333333

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1a97e25ddbb400d2b7f19fd7425712f7ae120692

7,700

py

Python

particle_packing/tests/test_ellipse.py

aluchies/particle_packing

127603a519ae25979de6c6197810a7ea38ec945b

[ "BSD-3-Clause" ]

null

particle_packing/tests/test_ellipse.py

aluchies/particle_packing

127603a519ae25979de6c6197810a7ea38ec945b

[ "BSD-3-Clause" ]

null

particle_packing/tests/test_ellipse.py

aluchies/particle_packing

127603a519ae25979de6c6197810a7ea38ec945b

[ "BSD-3-Clause" ]

null

from particle_packing import ellipse from particle_packing.ellipse import Ellipse from scipy.spatial.distance import pdist import unittest import numpy as np class TestCode(unittest.TestCase): def test1_pack_rsa_mda(self): """ circle, npoints small """ npoints = 5 radius = 0.05 * np.ones(2) phi = 0. step_limit = 10 ** 2 x, y = ellipse.pack.rsa_mda(npoints, radius, phi, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() d = pdist(xy) self.assertTrue(d.min() > 2. * radius[0]) self.assertTrue(npoints == len(x)) def test2_pack_rsa_mda(self): """ circle, npoints large """ npoints = 50 radius = 0.05 * np.ones(2) phi = 0. step_limit = 10 ** 4 x, y = ellipse.pack.rsa_mda(npoints, radius, phi, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() d = pdist(xy) self.assertTrue(d.min() > 2. * radius[0]) self.assertTrue(npoints == len(x)) def test3_pack_rsa_mda(self): """ circle, random seed test """ npoints = 5 radius = 0.05 * np.ones(2) phi = 0. step_limit = 10 ** 3 randSeed = 100 x0, y0 = ellipse.pack.rsa_mda(npoints, radius, phi, step_limit, randSeed) x1, y1 = ellipse.pack.rsa_mda(npoints, radius, phi, step_limit, randSeed) self.assertTrue(np.allclose(x0, x1)) self.assertTrue(np.allclose(y0, y1)) def test4_pack_rsa_mda(self): """ ellipse, npoints small """ npoints = 5 radius = 0.05 * np.array([1., 2.]) phi = 0. step_limit = 10 ** 2 x, y = ellipse.pack.rsa_mda(npoints, radius, phi, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() for i in xrange(len(x)): for k in xrange(i): center = np.asarray([x[i], y[i]]) ci = Ellipse(center=center, radii=radius, phi=phi) center = np.asarray([x[k], y[k]]) ck = Ellipse(center=center, radii=radius, phi=phi) F = ci.overlap_potential(ck) self.assertTrue(F >= 1.) self.assertTrue(npoints == len(x)) def test5_pack_rsa_mda(self): """ ellipse, npoints larger """ npoints = 15 radius = 0.05 * np.array([1., 2.]) phi = 0. step_limit = 10 ** 2 x, y = ellipse.pack.rsa_mda(npoints, radius, phi, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() for i in xrange(len(x)): for k in xrange(i): center = np.asarray([x[i], y[i]]) ci = Ellipse(center=center, radii=radius, phi=phi) center = np.asarray([x[k], y[k]]) ck = Ellipse(center=center, radii=radius, phi=phi) F = ci.overlap_potential(ck) self.assertTrue(F >= 1.) self.assertTrue(npoints == len(x)) def test1_pack_rsa_md(self): """ circle, npoints small """ npoints = 5 radius = 0.05 * np.ones(2) phi = 0. step_limit = 10 ** 2 x, y, phi = ellipse.pack.rsa_md(npoints, radius, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi[i]) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() d = pdist(xy) self.assertTrue(d.min() > 2. * radius[0]) self.assertTrue(npoints == len(x)) def test2_pack_rsa_md(self): """ circle, npoints large """ npoints = 50 radius = 0.05 * np.ones(2) step_limit = 10 ** 4 x, y, phi = ellipse.pack.rsa_md(npoints, radius, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi[i]) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() d = pdist(xy) self.assertTrue(d.min() > 2. * radius[0]) self.assertTrue(npoints == len(x)) def test3_pack_rsa_md(self): """ circle, random seed test """ npoints = 5 radius = 0.05 * np.ones(2) step_limit = 10 ** 3 randSeed = 100 x0, y0, phi0 = ellipse.pack.rsa_md(npoints, radius, step_limit, randSeed) x1, y1, phi1 = ellipse.pack.rsa_md(npoints, radius, step_limit, randSeed) self.assertTrue(np.allclose(x0, x1)) self.assertTrue(np.allclose(y0, y1)) self.assertTrue(np.allclose(phi0, phi1)) def test4_pack_rsa_md(self): """ ellipse, npoints small """ npoints = 5 radius = 0.05 * np.array([1., 2.]) step_limit = 10 ** 2 x, y, phi = ellipse.pack.rsa_md(npoints, radius, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi[i]) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() for i in xrange(len(x)): for k in xrange(i): center = np.asarray([x[i], y[i]]) ci = Ellipse(center=center, radii=radius, phi=phi[i]) center = np.asarray([x[k], y[k]]) ck = Ellipse(center=center, radii=radius, phi=phi[k]) F = ci.overlap_potential(ck) self.assertTrue(F >= 1.) self.assertTrue(npoints == len(x)) def test5_pack_rsa_md(self): """ ellipse, npoints larger """ npoints = 15 radius = 0.05 * np.array([1., 2.]) step_limit = 10 ** 2 x, y, phi = ellipse.pack.rsa_md(npoints, radius, step_limit) for i in xrange(len(x)): center = np.array([x[i], y[i]]) c = Ellipse(center, radius, phi[i]) F = c.square_container_potential() self.assertTrue(F >= 1.) xy = np.vstack([x, y]).transpose() for i in xrange(len(x)): for k in xrange(i): center = np.asarray([x[i], y[i]]) ci = Ellipse(center=center, radii=radius, phi=phi[i]) center = np.asarray([x[k], y[k]]) ck = Ellipse(center=center, radii=radius, phi=phi[k]) F = ci.overlap_potential(ck) self.assertTrue(F >= 1.) self.assertTrue(npoints == len(x)) if __name__ == '__main__': print 'Running unit tests for ellipse.so' unittest.main()

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8

6457f9ce5516b02575ce4a4c6e64ba2d535475a8

4,646

py

Python

tests/test3D.py

zzZ5/CellularAutomaton

592bce13c2688bbfcaa541081c457cc22258f010

[ "MIT" ]

2

2020-04-18T01:42:13.000Z

2020-06-16T03:35:45.000Z

tests/test3D.py

zzZ5/CellularAutomaton

592bce13c2688bbfcaa541081c457cc22258f010

[ "MIT" ]

null

tests/test3D.py

zzZ5/CellularAutomaton

592bce13c2688bbfcaa541081c457cc22258f010

[ "MIT" ]

null

from board import Board from matplotlib import pyplot as plt from mpl_toolkits.mplot3d import Axes3D a = [ [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], ] b = Board(a, liveNum=[4, 5, 6, 7, 8], generateNum=[6, 7]) fig = plt.figure() # 打开交互模式 plt.ion() # 循环 for index in range(50): print("第", index, "次:") # 清除原有图像 fig.clf() # 生成测试数据 c = b.next() x = [] y = [] z = [] for i in range(len(c)): for j in range(len(c[i])): for m in range(len(c[i][j])): if c[i][j][m]: x.append(m) y.append(j) z.append(i) # 生成画布 ax = fig.add_subplot(111, projection="3d") # 画三维散点图 ax.scatter(x, y, z) # 设置坐标轴图标 ax.set_xlabel("X轴", fontproperties='STSong') ax.set_ylabel("Y轴", fontproperties='STSong') ax.set_zlabel("Z轴", fontproperties='STSong') # 暂停 plt.pause(0.2) # 关闭交互模式 plt.ioff() # 图形显示 plt.show()

31.605442

57

0.317908

1,134

4,646

1.29806

0.066138

1.235054

1.789402

2.30163

0.695652

0.679348

0

0.356967

0.386784

4,646

146

58

31.821918

0.159705

0.012484

0

0.769231

0

0.006336

0

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0

false

0

0.023077

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0.023077

0.007692

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null

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null

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8

649214e407ff51fbf0f94c57f8a40de1d854a57c

22,124

py

Python

tests/unit/backend/wmg/test_query.py

HumanCellAtlas/dcp-prototype

44ca66a266004124f39d7d3e3dd75e9076012ff0

[ "MIT" ]

2

2020-02-07T18:12:12.000Z

2020-02-11T14:59:03.000Z

tests/unit/backend/wmg/test_query.py

HumanCellAtlas/dcp-prototype

44ca66a266004124f39d7d3e3dd75e9076012ff0

[ "MIT" ]

173

2020-01-29T17:48:02.000Z

2020-03-20T02:52:58.000Z

tests/unit/backend/wmg/test_query.py

HumanCellAtlas/dcp-prototype

44ca66a266004124f39d7d3e3dd75e9076012ff0

[ "MIT" ]

null

import unittest from typing import NamedTuple from backend.wmg.api.v1 import build_dot_plot_matrix from backend.wmg.data.query import WmgQueryCriteria, WmgQuery from backend.wmg.data.schemas.cube_schema import cube_non_indexed_dims from tests.unit.backend.wmg.fixtures.test_snapshot import ( create_temp_wmg_snapshot, all_ones_expression_summary_values, all_tens_cell_counts_values, ) # TODO: Test build_* methods separately in test_v1.py. This package's unit tests need only test the raw results of # WmgQuery methods class QueryTest(unittest.TestCase): def test__query_with_no_genes__returns_empty_result(self): criteria = WmgQueryCriteria( organism_ontology_term_id="organism_ontology_term_id_0", tissue_ontology_term_ids=["tissue_ontology_term_id_0"], ) dim_size = 1 with create_temp_wmg_snapshot( dim_size=dim_size, expression_summary_vals_fn=all_ones_expression_summary_values ) as snapshot: query = WmgQuery(snapshot) result = build_dot_plot_matrix(query.expression_summary(criteria), query.cell_counts(criteria)) expected = { "cell_type_ontology_term_id": {}, "gene_ontology_term_id": {}, "n_cells": {}, "n_cells_cell_type": {}, "n_cells_tissue": {}, "nnz": {}, "sum": {}, "tissue_ontology_term_id": {}, } self.assertEqual(expected, result.to_dict()) def test__query_all_indexed_dims_single_value__returns_correct_result(self): criteria = WmgQueryCriteria( gene_ontology_term_ids=["gene_ontology_term_id_0"], organism_ontology_term_id="organism_ontology_term_id_1", tissue_ontology_term_ids=["tissue_ontology_term_id_2"], ) dim_size = 3 with create_temp_wmg_snapshot( dim_size=dim_size, expression_summary_vals_fn=all_ones_expression_summary_values, cell_counts_generator_fn=all_tens_cell_counts_values, ) as snapshot: query = WmgQuery(snapshot) result = build_dot_plot_matrix(query.expression_summary(criteria), query.cell_counts(criteria)) # sanity check the expected value of the stats (n_cells, nnz, sum) for each data viz point; if this fails, the # cube test fixture may have changed (e.g. TileDB Array schema) or the logic for creating the test cube fixture # has changed expected_cell_count_per_cell_type = dim_size ** (len(cube_non_indexed_dims) - 1) assert expected_cell_count_per_cell_type == 729 expected = [ { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, ] self.assertEqual( expected, sorted( result.to_dict("records"), key=lambda r: ( r["gene_ontology_term_id"], r["tissue_ontology_term_id"], r["cell_type_ontology_term_id"], ), ), ) def test__query_all_indexed_dims_multi_valued__returns_correct_result(self): criteria = WmgQueryCriteria( gene_ontology_term_ids=["gene_ontology_term_id_0", "gene_ontology_term_id_2"], organism_ontology_term_id="organism_ontology_term_id_0", tissue_ontology_term_ids=["tissue_ontology_term_id_1", "tissue_ontology_term_id_2"], ) dim_size = 3 with create_temp_wmg_snapshot( dim_size=dim_size, expression_summary_vals_fn=all_ones_expression_summary_values, cell_counts_generator_fn=all_tens_cell_counts_values, ) as snapshot: query = WmgQuery(snapshot) result = build_dot_plot_matrix(query.expression_summary(criteria), query.cell_counts(criteria)) # sanity check the expected value of the stats (n_cells, nnz, sum) for each data viz point; if this fails, the # cube test fixture may have changed (e.g. TileDB Array schema) or the logic for creating the test cube fixture # has changed expected_cell_count_per_cell_type = dim_size ** (len(cube_non_indexed_dims) - 1) assert expected_cell_count_per_cell_type == 729 expected_cell_count_per_tissue = 10 * (dim_size ** len(cube_non_indexed_dims)) assert expected_cell_count_per_tissue == 21870 expected = [ { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_1", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_1", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_1", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_2", "tissue_ontology_term_id": "tissue_ontology_term_id_1", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_2", "tissue_ontology_term_id": "tissue_ontology_term_id_1", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_2", "tissue_ontology_term_id": "tissue_ontology_term_id_1", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_2", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_2", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_2", "tissue_ontology_term_id": "tissue_ontology_term_id_2", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 729, "n_cells_cell_type": 7290, "n_cells_tissue": 21870, "nnz": 729, "sum": 729.0, }, ] self.assertEqual( expected, sorted( result.to_dict("records"), key=lambda r: ( r["gene_ontology_term_id"], r["tissue_ontology_term_id"], r["cell_type_ontology_term_id"], ), ), ) @classmethod def setUpClass(cls) -> None: super().setUpClass() cls.maxDiff = None def test__query_non_indexed_dim_single_valued__returns_correct_result(self): criteria = WmgQueryCriteria( gene_ontology_term_ids=["gene_ontology_term_id_0"], organism_ontology_term_id="organism_ontology_term_id_0", tissue_ontology_term_ids=["tissue_ontology_term_id_0"], dataset_ids=["dataset_id_1"], # <-- non-indexed dim, single-valued ) dim_size = 3 with create_temp_wmg_snapshot( dim_size=dim_size, expression_summary_vals_fn=all_ones_expression_summary_values, cell_counts_generator_fn=all_tens_cell_counts_values, ) as snapshot: query = WmgQuery(snapshot) result = build_dot_plot_matrix(query.expression_summary(criteria), query.cell_counts(criteria)) # sanity check the expected value of the stats (n_cells, nnz, sum) for each data viz point; if this fails, the # cube test fixture may have changed (e.g. TileDB Array schema) or the logic for creating the test cube fixture # has changed expected_cell_count_per_cell_type = dim_size ** (len(cube_non_indexed_dims) - 2) assert expected_cell_count_per_cell_type == 243 expected_cell_count_per_tissue = 10 * (dim_size ** (len(cube_non_indexed_dims) - 1)) assert expected_cell_count_per_tissue == 7290 expected = [ { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 243, "n_cells_cell_type": 2430, "n_cells_tissue": 7290, "nnz": 243, "sum": 243.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 243, "n_cells_cell_type": 2430, "n_cells_tissue": 7290, "nnz": 243, "sum": 243.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 243, "n_cells_cell_type": 2430, "n_cells_tissue": 7290, "nnz": 243, "sum": 243.0, }, ] self.assertEqual( expected, sorted( result.to_dict("records"), key=lambda r: ( r["gene_ontology_term_id"], r["tissue_ontology_term_id"], r["cell_type_ontology_term_id"], ), ), ) def test__query_non_indexed_dim_multi_valued__returns_correct_result(self): criteria = WmgQueryCriteria( gene_ontology_term_ids=["gene_ontology_term_id_0"], organism_ontology_term_id="organism_ontology_term_id_0", tissue_ontology_term_ids=["tissue_ontology_term_id_0"], dataset_ids=["dataset_id_1", "dataset_id_0"], # <-- non-indexed dim, multi-valued ) dim_size = 3 with create_temp_wmg_snapshot( dim_size=dim_size, expression_summary_vals_fn=all_ones_expression_summary_values, cell_counts_generator_fn=all_tens_cell_counts_values, ) as snapshot: query = WmgQuery(snapshot) result = build_dot_plot_matrix(query.expression_summary(criteria), query.cell_counts(criteria)) # sanity check the expected value of the stats (n_cells, nnz, sum) for each data viz point; if this fails, the # cube test fixture may have changed (e.g. TileDB Array schema) or the logic for creating the test cube fixture # has changed expected_cell_count_per_cell_type = dim_size ** (len(cube_non_indexed_dims) - 2) * 2 assert expected_cell_count_per_cell_type == 486 expected_cell_count_per_tissue = 10 * (dim_size ** (len(cube_non_indexed_dims) - 1) * 2) assert expected_cell_count_per_tissue == 14580 expected = [ { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 486, "n_cells_cell_type": 4860, "n_cells_tissue": 14580, "nnz": 486, "sum": 486.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 486, "n_cells_cell_type": 4860, "n_cells_tissue": 14580, "nnz": 486, "sum": 486.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 486, "n_cells_cell_type": 4860, "n_cells_tissue": 14580, "nnz": 486, "sum": 486.0, }, ] self.assertEqual( expected, sorted( result.to_dict("records"), key=lambda r: ( r["gene_ontology_term_id"], r["tissue_ontology_term_id"], r["cell_type_ontology_term_id"], ), ), ) def test__query_non_indexed_dim_single_and_multi_valued__returns_correct_result(self): criteria = WmgQueryCriteria( gene_ontology_term_ids=["gene_ontology_term_id_0"], organism_ontology_term_id="organism_ontology_term_id_0", tissue_ontology_term_ids=["tissue_ontology_term_id_0"], ethnicity_ontology_term_ids=["ethnicity_ontology_term_id_1"], # <-- non-indexed dim, single-valued dataset_ids=["dataset_id_1", "dataset_id_0"], # <-- non-indexed dim, multi-valued ) dim_size = 3 with create_temp_wmg_snapshot( dim_size=dim_size, expression_summary_vals_fn=all_ones_expression_summary_values, cell_counts_generator_fn=all_tens_cell_counts_values, ) as snapshot: query = WmgQuery(snapshot) result = build_dot_plot_matrix(query.expression_summary(criteria), query.cell_counts(criteria)) # sanity check the expected value of the stats (n_cells, nnz, sum) for each data viz point; if this fails, the # cube test fixture may have changed (e.g. TileDB Array schema) or the logic for creating the test cube fixture # has changed expected_cell_count_per_cell_type = dim_size ** (len(cube_non_indexed_dims) - 3) * 1 * 2 assert expected_cell_count_per_cell_type == 162 expected_cell_count_per_tissue = 10 * (dim_size ** (len(cube_non_indexed_dims) - 2) * 1 * 2) assert expected_cell_count_per_tissue == 4860 expected = [ { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_0", "n_cells": 162, "n_cells_cell_type": 1620, "n_cells_tissue": 4860, "nnz": 162, "sum": 162.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_1", "n_cells": 162, "n_cells_cell_type": 1620, "n_cells_tissue": 4860, "nnz": 162, "sum": 162.0, }, { "gene_ontology_term_id": "gene_ontology_term_id_0", "tissue_ontology_term_id": "tissue_ontology_term_id_0", "cell_type_ontology_term_id": "cell_type_ontology_term_id_2", "n_cells": 162, "n_cells_cell_type": 1620, "n_cells_tissue": 4860, "nnz": 162, "sum": 162.0, }, ] self.assertEqual( expected, sorted( result.to_dict("records"), key=lambda r: ( r["gene_ontology_term_id"], r["tissue_ontology_term_id"], r["cell_type_ontology_term_id"], ), ), ) class QueryPrimaryFilterDimensionsTest(unittest.TestCase): def test__single_dimension__returns_all_dimension_and_terms(self): dim_size = 3 with create_temp_wmg_snapshot(dim_size=dim_size) as snapshot: result = WmgQuery(snapshot).list_primary_filter_dimension_term_ids("gene_ontology_term_id") self.assertEquals(["gene_ontology_term_id_0", "gene_ontology_term_id_1", "gene_ontology_term_id_2"], result) def test__multiple_dimensions__returns_all_dimensions_and_terms_as_tuples(self): dim_size = 3 def exclude_one_gene_per_organism(logical_coord: NamedTuple) -> bool: # HACK: method called during building of both "expr summary" and "cell count" cubes, but the latter does not # include gene_ontology_term_id if "gene_ontology_term_id" not in logical_coord._fields: return False return logical_coord.gene_ontology_term_id == logical_coord.organism_ontology_term_id.replace( "organism", "gene" ) with create_temp_wmg_snapshot( dim_size=dim_size, exclude_logical_coord_fn=exclude_one_gene_per_organism ) as snapshot: result = WmgQuery(snapshot).list_grouped_primary_filter_dimensions_term_ids( "gene_ontology_term_id", "organism_ontology_term_id" ) self.assertEquals( { "organism_ontology_term_id_0": ["gene_ontology_term_id_1", "gene_ontology_term_id_2"], "organism_ontology_term_id_1": ["gene_ontology_term_id_0", "gene_ontology_term_id_2"], "organism_ontology_term_id_2": ["gene_ontology_term_id_0", "gene_ontology_term_id_1"], }, result, )

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64c004be25d006ba23e8ee9aec2d2c34aaa9c362

214

py

Python

src/yafowil/plone/widgets/__init__.py

gogobd/yafowil.plone

633a28dc3bbf018d84c6e399c31e26b8125399a5

[ "BSD-3-Clause" ]

1

2019-07-09T12:46:54.000Z

src/yafowil/plone/widgets/__init__.py

gogobd/yafowil.plone

633a28dc3bbf018d84c6e399c31e26b8125399a5

[ "BSD-3-Clause" ]

18

2015-10-09T22:39:00.000Z

2021-09-06T07:01:42.000Z

src/yafowil/plone/widgets/__init__.py

gogobd/yafowil.plone

633a28dc3bbf018d84c6e399c31e26b8125399a5

[ "BSD-3-Clause" ]

3

2018-01-20T18:31:55.000Z

2021-06-10T14:00:01.000Z

from yafowil.plone.widgets import datetime from yafowil.plone.widgets import label from yafowil.plone.widgets import recurrence from yafowil.plone.widgets import relation from yafowil.plone.widgets import richtext

35.666667

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1

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7

64c7fc1c2168843059470f058cbf54aeadf0842e

11,697

py

Python

bert_experimental/finetuning/bert_layer.py

AhmedYounes94/bert_experimental

c65015c560893e5a9265e295b90400382f02b229

[ "MIT" ]

75

2019-06-29T02:09:22.000Z

2022-03-23T14:06:44.000Z

bert_experimental/finetuning/bert_layer.py

AhmedYounes94/bert_experimental

c65015c560893e5a9265e295b90400382f02b229

[ "MIT" ]

10

2020-01-02T17:12:27.000Z

2022-03-07T17:42:02.000Z

bert_experimental/finetuning/bert_layer.py

AhmedYounes94/bert_experimental

c65015c560893e5a9265e295b90400382f02b229

[ "MIT" ]

29

2019-06-30T13:58:07.000Z

2021-06-16T07:38:49.000Z

import os import tensorflow as tf import tensorflow_hub as hub from .text_preprocessing import build_preprocessor class BertLayer(tf.keras.layers.Layer): def __init__(self, bert_path, seq_len=64, n_tune_layers=3, pooling="cls", do_preprocessing=True, verbose=False, tune_embeddings=False, trainable=True, use_layers=None, as_dict=False, **kwargs): self.trainable = trainable self.n_tune_layers = n_tune_layers self.tune_embeddings = tune_embeddings self.do_preprocessing = do_preprocessing self.as_dict = as_dict self.verbose = verbose self.seq_len = seq_len self.pooling = pooling self.bert_path = bert_path self.use_layers = use_layers self.var_per_encoder = 16 if self.pooling not in ["cls", "mean", "sqrt_mean", None]: raise NameError( f"Undefined pooling type (must be either 'cls', 'mean', 'sqrt_mean' or None, but is {self.pooling}" ) super(BertLayer, self).__init__(**kwargs) def build(self, input_shape): self.bert = hub.Module(self.build_abspath(self.bert_path), trainable=self.trainable, name=f"{self.name}_module") trainable_layers = [] if self.tune_embeddings: trainable_layers.append("embeddings") if self.pooling == "cls": trainable_layers.append("pooler") if self.n_tune_layers > 0: encoder_var_names = [var.name for var in self.bert.variables if 'encoder' in var.name] n_encoder_layers = int(len(encoder_var_names) / self.var_per_encoder) if self.use_layers: n_encoder_layers = min(self.use_layers, n_encoder_layers) for i in range(self.n_tune_layers): trainable_layers.append(f"encoder/layer_{str(n_encoder_layers - 1 - i)}/") # Add module variables to layer's trainable weights for var in self.bert.variables: if any([l in var.name for l in trainable_layers]): self._trainable_weights.append(var) else: self._non_trainable_weights.append(var) if self.verbose: print("*** TRAINABLE VARS *** ") for var in self._trainable_weights: print(var) self.build_preprocessor() self.initialize_module() super(BertLayer, self).build(input_shape) def build_abspath(self, path): if path.startswith("https://") or path.startswith("gs://"): return path else: return os.path.abspath(path) def build_preprocessor(self): sess = tf.compat.v1.keras.backend.get_session() tokenization_info = self.bert(signature="tokenization_info", as_dict=True) vocab_file, do_lower_case = sess.run([tokenization_info["vocab_file"], tokenization_info["do_lower_case"]]) self.preprocessor = build_preprocessor(vocab_file, self.seq_len, do_lower_case) def initialize_module(self): sess = tf.compat.v1.keras.backend.get_session() vars_initialized = sess.run([tf.compat.v1.is_variable_initialized(var) for var in self.bert.variables]) uninitialized = [] for var, is_initialized in zip(self.bert.variables, vars_initialized): if not is_initialized: uninitialized.append(var) if len(uninitialized): sess.run(tf.compat.v1.variables_initializer(uninitialized)) def call(self, input): if self.do_preprocessing: input = tf.numpy_function(self.preprocessor, [input], [tf.int32, tf.int32, tf.int32], name='preprocessor') for feature in input: feature.set_shape((None, self.seq_len)) input_ids, input_mask, segment_ids = input bert_inputs = dict( input_ids=input_ids, input_mask=input_mask, segment_ids=segment_ids ) output = self.bert(inputs=bert_inputs, signature="tokens", as_dict=True) input_mask = tf.cast(input_mask, tf.float32) seq_output = output["sequence_output"] tok_output = mul_mask(output.get("token_output", seq_output), input_mask) if self.pooling == "cls": pooled = output["pooled_output"] else: if self.pooling == "mean": pooled = masked_reduce_mean(seq_output, input_mask) elif self.pooling == "sqrt_mean": pooled = masked_reduce_sqrt_mean(seq_output, input_mask) else: pooled = mul_mask(seq_output, input_mask) if self.as_dict: output = { "sequence_output": seq_output, "pooled_output": pooled, "token_output": tok_output } else: output = pooled return output def get_config(self): config_dict = { "bert_path": self.bert_path, "seq_len": self.seq_len, "pooling": self.pooling, "n_tune_layers": self.n_tune_layers, "tune_embeddings": self.tune_embeddings, "do_preprocessing": self.do_preprocessing, "use_layers": self.use_layers, "trainable": self.trainable, "as_dict": self.as_dict, "verbose": self.verbose } super(BertLayer, self).get_config() return config_dict class StatefulBertLayer(tf.keras.layers.Layer): def __init__(self, bert_path, seq_len=64, n_tune_layers=3, pooling="cls", do_preprocessing=True, verbose=False, tune_embeddings=False, trainable=True, use_layers=None, as_dict=False, **kwargs): self.trainable = trainable self.n_tune_layers = n_tune_layers self.tune_embeddings = tune_embeddings self.do_preprocessing = do_preprocessing self.as_dict = as_dict self.verbose = verbose self.seq_len = seq_len self.pooling = pooling self.bert_path = bert_path self.use_layers = use_layers self.var_per_encoder = 16 if self.pooling not in ["cls", "mean", "sqrt_mean", None]: raise NameError( f"Undefined pooling type (must be either 'cls', 'mean', 'sqrt_mean' or None, but is {self.pooling}" ) super(StatefulBertLayer, self).__init__(**kwargs) def build(self, input_shape): self.bert = hub.Module(self.build_abspath(self.bert_path), trainable=self.trainable, name=f"{self.name}_module") trainable_layers = [] if self.tune_embeddings: trainable_layers.append("embeddings") if self.pooling == "cls": trainable_layers.append("pooler") if self.n_tune_layers > 0: encoder_var_names = [var.name for var in self.bert.variables if 'encoder' in var.name] n_encoder_layers = int(len(encoder_var_names) / self.var_per_encoder) if self.use_layers: n_encoder_layers = min(self.use_layers, n_encoder_layers) for i in range(self.n_tune_layers): trainable_layers.append(f"encoder/layer_{str(n_encoder_layers - 1 - i)}/") # Add module variables to layer's trainable weights for var in self.bert.variables: if any([l in var.name for l in trainable_layers]): self._trainable_weights.append(var) else: self._non_trainable_weights.append(var) if self.verbose: print("*** TRAINABLE VARS *** ") for var in self._trainable_weights: print(var) self.build_preprocessor() self.initialize_module() super(StatefulBertLayer, self).build(input_shape) def build_abspath(self, path): if path.startswith("https://") or path.startswith("gs://"): return path else: return os.path.abspath(path) def build_preprocessor(self): sess = tf.compat.v1.keras.backend.get_session() tokenization_info = self.bert(signature="tokenization_info", as_dict=True) vocab_file, do_lower_case = sess.run([tokenization_info["vocab_file"], tokenization_info["do_lower_case"]]) self.preprocessor = build_preprocessor(vocab_file, self.seq_len, do_lower_case) def initialize_module(self): sess = tf.compat.v1.keras.backend.get_session() vars_initialized = sess.run([tf.compat.v1.is_variable_initialized(var) for var in self.bert.variables]) uninitialized = [] for var, is_initialized in zip(self.bert.variables, vars_initialized): if not is_initialized: uninitialized.append(var) if len(uninitialized): sess.run(tf.compat.v1.variables_initializer(uninitialized)) def call(self, input): if self.do_preprocessing: input_text, input_state = input preprocessed_text = tf.numpy_function( self.preprocessor, [input_text], [tf.int32, tf.int32, tf.int32], name='preprocessor') for feature in preprocessed_text: feature.set_shape((None, self.seq_len)) input_ids, input_mask, segment_ids = preprocessed_text else: input_ids, input_mask, segment_ids, input_state = input bert_inputs = dict( input_ids=input_ids, input_mask=input_mask, segment_ids=segment_ids, input_state=input_state ) output = self.bert(inputs=bert_inputs, signature="tokens", as_dict=True) input_mask = tf.cast(input_mask, tf.float32) seq_output = output["sequence_output"] tok_output = mul_mask(output.get("token_output", seq_output), input_mask) if self.pooling == "cls": pooled = output["pooled_output"] else: if self.pooling == "mean": pooled = masked_reduce_mean(seq_output, input_mask) elif self.pooling == "sqrt_mean": pooled = masked_reduce_sqrt_mean(seq_output, input_mask) else: pooled = mul_mask(seq_output, input_mask) if self.as_dict: output["pooled_output"] = pooled else: output = pooled return output def get_config(self): config_dict = { "bert_path": self.bert_path, "seq_len": self.seq_len, "pooling": self.pooling, "n_tune_layers": self.n_tune_layers, "tune_embeddings": self.tune_embeddings, "do_preprocessing": self.do_preprocessing, "use_layers": self.use_layers, "trainable": self.trainable, "as_dict": self.as_dict, "verbose": self.verbose } super(StatefulBertLayer, self).get_config() return config_dict def mul_mask(x, m): return x * tf.expand_dims(m, axis=-1) def masked_reduce_mean(x, m): return tf.reduce_sum(mul_mask(x, m), axis=1) / ( tf.reduce_sum(m, axis=1, keepdims=True) + 1e-10) def masked_reduce_sqrt_mean(x, m): return tf.reduce_sum(mul_mask(x, m), axis=1) / ( tf.sqrt(tf.reduce_sum(m, axis=1, keepdims=True)) + 1e-10)

36.326087

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1

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null

0

7

b3794a8d7ba30b2583285efbb415841485347f93

999

py

Python

template_user_script.py

dbaldwin/tello-adv-setup

05a0d248ecf2ef26dbc6a071ba6c85863499665b

[ "CNRI-Python" ]

4

2020-12-17T11:02:27.000Z

2022-02-01T21:04:13.000Z

template_user_script.py

dbaldwin/tello-adv-setup

05a0d248ecf2ef26dbc6a071ba6c85863499665b

[ "CNRI-Python" ]

null

template_user_script.py

dbaldwin/tello-adv-setup

05a0d248ecf2ef26dbc6a071ba6c85863499665b

[ "CNRI-Python" ]

1

2021-07-15T21:16:54.000Z

# User Configuration SAMPLE_CONFIG_ITEM = 42 def init(tello, fly_flag=False): """ :param tello: Reference to the DJITelloPy Tello object. :type tello: Tello :param fly_flag: True - the fly flag was specified and the Tello will take off. False - the Tello will NOT be instructed to take off :type fly_flag: bool :return: None :rtype: """ print(f"Inside init method. fly_flag: {fly_flag}, sample config item: {SAMPLE_CONFIG_ITEM}") def handler(tello, frame, fly_flag=False): """ :param tello: Reference to the DJITelloPy Tello object. :type tello: Tello :param frame: image :type frame: :param fly_flag: True - the fly flag was specified and the Tello will take off. False - the Tello will NOT be instructed to take off :type fly_flag: bool :return: None :rtype: """ print(f"Inside handler method. fly_flag: {fly_flag}, sample config item: {SAMPLE_CONFIG_ITEM}")

30.272727

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0.132492

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0.053628

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999

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false

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null

0

1

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null

0

1

0

7

b3b03fc1dd97de6287a33c96817cd3862b1382f0

13,139

py

Python

applications/Gesture/action_recognition/R3D/dataset/dataset_pkl.py

villawang/Continual_Learning_CV

6715fa9c741df920e56aede11cbb85a4be41871e

[ "BSD-3-Clause" ]

14

2020-05-12T09:44:18.000Z

2022-02-14T10:30:28.000Z

applications/Gesture/action_recognition/R3D/dataset/dataset_pkl.py

villawang/Continual_Learning_CV

6715fa9c741df920e56aede11cbb85a4be41871e

[ "BSD-3-Clause" ]

17

2020-05-18T06:12:28.000Z

2022-01-13T02:42:13.000Z

applications/Gesture/action_recognition/R3D/dataset/dataset_pkl.py

villawang/Continual_Learning_CV

6715fa9c741df920e56aede11cbb85a4be41871e

[ "BSD-3-Clause" ]

8

2020-05-18T11:15:51.000Z

2021-11-11T10:55:11.000Z

<<<<<<< HEAD import os import sys # sys.path.append(os.getcwd()[0:-7]) # sys.path.append(os.path.join(os.getcwd()[0:-7], 'utils')) import json import pickle import numpy as np import pandas as pd import random import torch import pdb from torch.utils.data import Dataset, DataLoader,RandomSampler import torchvision.transforms as transforms from torchvision.utils import save_image from PIL import Image import matplotlib.pyplot as plt from tqdm import tqdm, trange import random import skimage.util as ski_util from sklearn.utils import shuffle # pdb.set_trace() # self-defined modules def load_video(annot_path, mode): # mode: train, val, test csv_file = os.path.join(annot_path, '{}.pkl'.format(mode)) annot_df = pd.read_pickle(csv_file) # annot_df = DownSample(raw_annot_df, 40) rgb_samples = [] depth_samples = [] labels = [] # get task index in dataframe task_ind = [] for frame_i in range(annot_df.shape[0]): rgb_list = annot_df['frame'].iloc[frame_i] # convert string in dataframe to list rgb_samples.append(rgb_list) labels.append(annot_df['label'].iloc[frame_i]) print('{}: {} videos have been loaded'.format(mode, len(rgb_samples))) return rgb_samples, labels class dataset_video(Dataset): def __init__(self, root_path, mode, spatial_transform=None, temporal_transform=None): self.root_path = root_path self.rgb_samples, self.labels = load_video(root_path, mode) rgb_test = Image.open(self.rgb_samples[0][0]).convert("RGB") self.sample_num = len(self.rgb_samples) self.spatial_transform = spatial_transform self.temporal_transform = temporal_transform # print('{} {} samples have been loaded'.format(class_id, self.sample_num)) def __getitem__(self, idx): rgb_name = self.rgb_samples[idx] label = self.labels[idx] indices = [i for i in range(len(rgb_name))] selected_indice = self.temporal_transform(indices) clip_frames = [] for i, frame_name_i in enumerate(selected_indice): rgb_cache = Image.open(rgb_name[frame_name_i]).convert("RGB") clip_frames.append(rgb_cache) clip_frames = self.spatial_transform(clip_frames) return clip_frames.transpose(1,0), int(label) def __len__(self): return int(self.sample_num) def load_video_test(annot_path, mode): # mode: train, val, test csv_file = os.path.join(annot_path, 'jester_{}.pkl'.format(mode)) annot_df = pd.read_pickle(csv_file) # annot_df = DownSample(raw_annot_df, 40) rgb_samples = [] # get task index in dataframe task_ind = [] for frame_i in range(annot_df.shape[0]): rgb_list = annot_df['frame'].iloc[frame_i] # convert string in dataframe to list rgb_samples.append(rgb_list) print('{}: {} videos have been loaded'.format(mode, len(rgb_samples))) return rgb_samples class dataset_video_test(Dataset): def __init__(self, root_path, mode, spatial_transform=None, temporal_transform=None): self.root_path = root_path self.rgb_samples = load_video_test(root_path, mode) self.sample_num = len(self.rgb_samples) self.spatial_transform = spatial_transform self.temporal_transform = temporal_transform # print('{} {} samples have been loaded'.format(class_id, self.sample_num)) def __getitem__(self, idx): clip_name = self.rgb_samples[idx] indices = [i for i in range(len(clip_name))] selected_indice = self.temporal_transform(indices) clip_frames = [] for i, frame_name_i in enumerate(selected_indice): rgb_cache = Image.open(clip_name[frame_name_i]).convert("RGB") clip_frames.append(rgb_cache) clip_frames = self.spatial_transform(clip_frames) return clip_name, clip_frames.transpose(1,0) # return rgb, mask, (torch.tensor(label)-1).long() def __len__(self): return int(self.sample_num) def get_label_dict_jester(label_path, filename): label = pd.read_csv(os.path.join(label_path, filename), header=None) label_list = [] for i in range(len(label)): label_list.append(label.iloc[i].item()) label_dict = {k: v for v,k in enumerate(label_list)} return label_dict def get_label_dict_sthv2(label_path, filename): label_dict = dict() with open(os.path.join(label_path, 'something-something-v2-labels.json'), encoding='utf-8') as f: data = json.load(f) categories = [] for i, (cat, idx) in enumerate(data.items()): assert i == int(idx) # make sure the rank is right categories.append(cat) label_dict[cat] = i return label_dict # from temporal_transforms import * # from spatial_transforms import * # from transforms import * # from opts import parse_opts # args = parse_opts() # annot_path = '/home/zhengwei/workspace/something-try/SlowFastNetworks/annotations' # args = parse_opts() # scales = [args.initial_scale] # for i in range(1, args.n_scales): # scales.append(scales[-1] * args.scale_step) # # trans_train = Compose([ # # # Scale([100,100]), # w * h: 176 * 100 # # # SpatialElasticDisplacement(), # # MultiScaleRandomCrop(scales, [112, 112]), # # ToTensor(1) # # ]) # trans_train = Compose([GroupMultiScaleCrop(112, [1, .875, .75, .66]), # ToTorchFormatTensor(), # Stack_3D(), # GroupNormalize(mean=[.485, .456, .406], std=[.229, .224, .225])]) # temporal_transform_ = Compose([ # TemporalRandomCrop(100) # # TemporalBeginCrop(100) # ]) # dataset_train = dataset_video(annot_path, 'train', # n_frames_per_clip=100, img_size=(112, 112), # reverse=False, transform=trans_train, # temporal_transform = temporal_transform_) # rgb_name, rgbs = dataset_train.__getitem__(0) # # dataloader_train = DataLoader(dataset_train, batch_size=32, # # shuffle=True, # # num_workers=args.num_workers, pin_memory=True) # # trainiter = iter(dataloader_train) # # rgbs, masks, labels = trainiter.next() # label_dict = get_label_dict_sthv2('/home/data2/zhengwei/sth-sth-v2', 'jester-v1-labels.csv') ======= import os import sys # sys.path.append(os.getcwd()[0:-7]) # sys.path.append(os.path.join(os.getcwd()[0:-7], 'utils')) import json import pickle import numpy as np import pandas as pd import random import torch import pdb from torch.utils.data import Dataset, DataLoader,RandomSampler import torchvision.transforms as transforms from torchvision.utils import save_image from PIL import Image import matplotlib.pyplot as plt from tqdm import tqdm, trange import random import skimage.util as ski_util from sklearn.utils import shuffle # pdb.set_trace() # self-defined modules def load_video(annot_path, mode): # mode: train, val, test csv_file = os.path.join(annot_path, '{}.pkl'.format(mode)) annot_df = pd.read_pickle(csv_file) # annot_df = DownSample(raw_annot_df, 40) rgb_samples = [] depth_samples = [] labels = [] # get task index in dataframe task_ind = [] for frame_i in range(annot_df.shape[0]): rgb_list = annot_df['frame'].iloc[frame_i] # convert string in dataframe to list rgb_samples.append(rgb_list) labels.append(annot_df['label'].iloc[frame_i]) print('{}: {} videos have been loaded'.format(mode, len(rgb_samples))) return rgb_samples, labels class dataset_video(Dataset): def __init__(self, root_path, mode, spatial_transform=None, temporal_transform=None): self.root_path = root_path self.rgb_samples, self.labels = load_video(root_path, mode) rgb_test = Image.open(self.rgb_samples[0][0]).convert("RGB") self.sample_num = len(self.rgb_samples) self.spatial_transform = spatial_transform self.temporal_transform = temporal_transform # print('{} {} samples have been loaded'.format(class_id, self.sample_num)) def __getitem__(self, idx): rgb_name = self.rgb_samples[idx] label = self.labels[idx] indices = [i for i in range(len(rgb_name))] selected_indice = self.temporal_transform(indices) clip_frames = [] for i, frame_name_i in enumerate(selected_indice): rgb_cache = Image.open(rgb_name[frame_name_i]).convert("RGB") clip_frames.append(rgb_cache) clip_frames = self.spatial_transform(clip_frames) return clip_frames.transpose(1,0), int(label) def __len__(self): return int(self.sample_num) def load_video_test(annot_path, mode): # mode: train, val, test csv_file = os.path.join(annot_path, 'jester_{}.pkl'.format(mode)) annot_df = pd.read_pickle(csv_file) # annot_df = DownSample(raw_annot_df, 40) rgb_samples = [] # get task index in dataframe task_ind = [] for frame_i in range(annot_df.shape[0]): rgb_list = annot_df['frame'].iloc[frame_i] # convert string in dataframe to list rgb_samples.append(rgb_list) print('{}: {} videos have been loaded'.format(mode, len(rgb_samples))) return rgb_samples class dataset_video_test(Dataset): def __init__(self, root_path, mode, spatial_transform=None, temporal_transform=None): self.root_path = root_path self.rgb_samples = load_video_test(root_path, mode) self.sample_num = len(self.rgb_samples) self.spatial_transform = spatial_transform self.temporal_transform = temporal_transform # print('{} {} samples have been loaded'.format(class_id, self.sample_num)) def __getitem__(self, idx): clip_name = self.rgb_samples[idx] indices = [i for i in range(len(clip_name))] selected_indice = self.temporal_transform(indices) clip_frames = [] for i, frame_name_i in enumerate(selected_indice): rgb_cache = Image.open(clip_name[frame_name_i]).convert("RGB") clip_frames.append(rgb_cache) clip_frames = self.spatial_transform(clip_frames) return clip_name, clip_frames.transpose(1,0) # return rgb, mask, (torch.tensor(label)-1).long() def __len__(self): return int(self.sample_num) def get_label_dict_jester(label_path, filename): label = pd.read_csv(os.path.join(label_path, filename), header=None) label_list = [] for i in range(len(label)): label_list.append(label.iloc[i].item()) label_dict = {k: v for v,k in enumerate(label_list)} return label_dict def get_label_dict_sthv2(label_path, filename): label_dict = dict() with open(os.path.join(label_path, 'something-something-v2-labels.json'), encoding='utf-8') as f: data = json.load(f) categories = [] for i, (cat, idx) in enumerate(data.items()): assert i == int(idx) # make sure the rank is right categories.append(cat) label_dict[cat] = i return label_dict # from temporal_transforms import * # from spatial_transforms import * # from transforms import * # from opts import parse_opts # args = parse_opts() # annot_path = '/home/zhengwei/workspace/something-try/SlowFastNetworks/annotations' # args = parse_opts() # scales = [args.initial_scale] # for i in range(1, args.n_scales): # scales.append(scales[-1] * args.scale_step) # # trans_train = Compose([ # # # Scale([100,100]), # w * h: 176 * 100 # # # SpatialElasticDisplacement(), # # MultiScaleRandomCrop(scales, [112, 112]), # # ToTensor(1) # # ]) # trans_train = Compose([GroupMultiScaleCrop(112, [1, .875, .75, .66]), # ToTorchFormatTensor(), # Stack_3D(), # GroupNormalize(mean=[.485, .456, .406], std=[.229, .224, .225])]) # temporal_transform_ = Compose([ # TemporalRandomCrop(100) # # TemporalBeginCrop(100) # ]) # dataset_train = dataset_video(annot_path, 'train', # n_frames_per_clip=100, img_size=(112, 112), # reverse=False, transform=trans_train, # temporal_transform = temporal_transform_) # rgb_name, rgbs = dataset_train.__getitem__(0) # # dataloader_train = DataLoader(dataset_train, batch_size=32, # # shuffle=True, # # num_workers=args.num_workers, pin_memory=True) # # trainiter = iter(dataloader_train) # # rgbs, masks, labels = trainiter.next() # label_dict = get_label_dict_sthv2('/home/data2/zhengwei/sth-sth-v2', 'jester-v1-labels.csv') >>>>>>> e47b902b2f7d42c6a48fa803816e2793c5293c64 # pdb.set_trace()

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b3cd86fe083b41622862ca218797535c510997f4

6,131

py

Python

loldib/getratings/models/NA/na_lux/na_lux_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_lux/na_lux_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_lux/na_lux_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Lux_Bot_Aatrox(Ratings): pass class NA_Lux_Bot_Ahri(Ratings): pass class NA_Lux_Bot_Akali(Ratings): pass class NA_Lux_Bot_Alistar(Ratings): pass class NA_Lux_Bot_Amumu(Ratings): pass class NA_Lux_Bot_Anivia(Ratings): pass class NA_Lux_Bot_Annie(Ratings): pass class NA_Lux_Bot_Ashe(Ratings): pass class NA_Lux_Bot_AurelionSol(Ratings): pass class NA_Lux_Bot_Azir(Ratings): pass class NA_Lux_Bot_Bard(Ratings): pass class NA_Lux_Bot_Blitzcrank(Ratings): pass class NA_Lux_Bot_Brand(Ratings): pass class NA_Lux_Bot_Braum(Ratings): pass class NA_Lux_Bot_Caitlyn(Ratings): pass class NA_Lux_Bot_Camille(Ratings): pass class NA_Lux_Bot_Cassiopeia(Ratings): pass class NA_Lux_Bot_Chogath(Ratings): pass class NA_Lux_Bot_Corki(Ratings): pass class NA_Lux_Bot_Darius(Ratings): pass class NA_Lux_Bot_Diana(Ratings): pass class NA_Lux_Bot_Draven(Ratings): pass class NA_Lux_Bot_DrMundo(Ratings): pass class NA_Lux_Bot_Ekko(Ratings): pass class NA_Lux_Bot_Elise(Ratings): pass class NA_Lux_Bot_Evelynn(Ratings): pass class NA_Lux_Bot_Ezreal(Ratings): pass class NA_Lux_Bot_Fiddlesticks(Ratings): pass class NA_Lux_Bot_Fiora(Ratings): pass class NA_Lux_Bot_Fizz(Ratings): pass class NA_Lux_Bot_Galio(Ratings): pass class NA_Lux_Bot_Gangplank(Ratings): pass class NA_Lux_Bot_Garen(Ratings): pass class NA_Lux_Bot_Gnar(Ratings): pass class NA_Lux_Bot_Gragas(Ratings): pass class NA_Lux_Bot_Graves(Ratings): pass class NA_Lux_Bot_Hecarim(Ratings): pass class NA_Lux_Bot_Heimerdinger(Ratings): pass class NA_Lux_Bot_Illaoi(Ratings): pass class NA_Lux_Bot_Irelia(Ratings): pass class NA_Lux_Bot_Ivern(Ratings): pass class NA_Lux_Bot_Janna(Ratings): pass class NA_Lux_Bot_JarvanIV(Ratings): pass class NA_Lux_Bot_Jax(Ratings): pass class NA_Lux_Bot_Jayce(Ratings): pass class NA_Lux_Bot_Jhin(Ratings): pass class NA_Lux_Bot_Jinx(Ratings): pass class NA_Lux_Bot_Kalista(Ratings): pass class NA_Lux_Bot_Karma(Ratings): pass class NA_Lux_Bot_Karthus(Ratings): pass class NA_Lux_Bot_Kassadin(Ratings): pass class NA_Lux_Bot_Katarina(Ratings): pass class NA_Lux_Bot_Kayle(Ratings): pass class NA_Lux_Bot_Kayn(Ratings): pass class NA_Lux_Bot_Kennen(Ratings): pass class NA_Lux_Bot_Khazix(Ratings): pass class NA_Lux_Bot_Kindred(Ratings): pass class NA_Lux_Bot_Kled(Ratings): pass class NA_Lux_Bot_KogMaw(Ratings): pass class NA_Lux_Bot_Leblanc(Ratings): pass class NA_Lux_Bot_LeeSin(Ratings): pass class NA_Lux_Bot_Leona(Ratings): pass class NA_Lux_Bot_Lissandra(Ratings): pass class NA_Lux_Bot_Lucian(Ratings): pass class NA_Lux_Bot_Lulu(Ratings): pass class NA_Lux_Bot_Lux(Ratings): pass class NA_Lux_Bot_Malphite(Ratings): pass class NA_Lux_Bot_Malzahar(Ratings): pass class NA_Lux_Bot_Maokai(Ratings): pass class NA_Lux_Bot_MasterYi(Ratings): pass class NA_Lux_Bot_MissFortune(Ratings): pass class NA_Lux_Bot_MonkeyKing(Ratings): pass class NA_Lux_Bot_Mordekaiser(Ratings): pass class NA_Lux_Bot_Morgana(Ratings): pass class NA_Lux_Bot_Nami(Ratings): pass class NA_Lux_Bot_Nasus(Ratings): pass class NA_Lux_Bot_Nautilus(Ratings): pass class NA_Lux_Bot_Nidalee(Ratings): pass class NA_Lux_Bot_Nocturne(Ratings): pass class NA_Lux_Bot_Nunu(Ratings): pass class NA_Lux_Bot_Olaf(Ratings): pass class NA_Lux_Bot_Orianna(Ratings): pass class NA_Lux_Bot_Ornn(Ratings): pass class NA_Lux_Bot_Pantheon(Ratings): pass class NA_Lux_Bot_Poppy(Ratings): pass class NA_Lux_Bot_Quinn(Ratings): pass class NA_Lux_Bot_Rakan(Ratings): pass class NA_Lux_Bot_Rammus(Ratings): pass class NA_Lux_Bot_RekSai(Ratings): pass class NA_Lux_Bot_Renekton(Ratings): pass class NA_Lux_Bot_Rengar(Ratings): pass class NA_Lux_Bot_Riven(Ratings): pass class NA_Lux_Bot_Rumble(Ratings): pass class NA_Lux_Bot_Ryze(Ratings): pass class NA_Lux_Bot_Sejuani(Ratings): pass class NA_Lux_Bot_Shaco(Ratings): pass class NA_Lux_Bot_Shen(Ratings): pass class NA_Lux_Bot_Shyvana(Ratings): pass class NA_Lux_Bot_Singed(Ratings): pass class NA_Lux_Bot_Sion(Ratings): pass class NA_Lux_Bot_Sivir(Ratings): pass class NA_Lux_Bot_Skarner(Ratings): pass class NA_Lux_Bot_Sona(Ratings): pass class NA_Lux_Bot_Soraka(Ratings): pass class NA_Lux_Bot_Swain(Ratings): pass class NA_Lux_Bot_Syndra(Ratings): pass class NA_Lux_Bot_TahmKench(Ratings): pass class NA_Lux_Bot_Taliyah(Ratings): pass class NA_Lux_Bot_Talon(Ratings): pass class NA_Lux_Bot_Taric(Ratings): pass class NA_Lux_Bot_Teemo(Ratings): pass class NA_Lux_Bot_Thresh(Ratings): pass class NA_Lux_Bot_Tristana(Ratings): pass class NA_Lux_Bot_Trundle(Ratings): pass class NA_Lux_Bot_Tryndamere(Ratings): pass class NA_Lux_Bot_TwistedFate(Ratings): pass class NA_Lux_Bot_Twitch(Ratings): pass class NA_Lux_Bot_Udyr(Ratings): pass class NA_Lux_Bot_Urgot(Ratings): pass class NA_Lux_Bot_Varus(Ratings): pass class NA_Lux_Bot_Vayne(Ratings): pass class NA_Lux_Bot_Veigar(Ratings): pass class NA_Lux_Bot_Velkoz(Ratings): pass class NA_Lux_Bot_Vi(Ratings): pass class NA_Lux_Bot_Viktor(Ratings): pass class NA_Lux_Bot_Vladimir(Ratings): pass class NA_Lux_Bot_Volibear(Ratings): pass class NA_Lux_Bot_Warwick(Ratings): pass class NA_Lux_Bot_Xayah(Ratings): pass class NA_Lux_Bot_Xerath(Ratings): pass class NA_Lux_Bot_XinZhao(Ratings): pass class NA_Lux_Bot_Yasuo(Ratings): pass class NA_Lux_Bot_Yorick(Ratings): pass class NA_Lux_Bot_Zac(Ratings): pass class NA_Lux_Bot_Zed(Ratings): pass class NA_Lux_Bot_Ziggs(Ratings): pass class NA_Lux_Bot_Zilean(Ratings): pass class NA_Lux_Bot_Zyra(Ratings): pass

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1

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7

b3f9c7358828c817440ebfd329b97c43063c0727

95

py

Python

tests/test_all.py

vidartf/jupyterlab_celltests

071ecb8d1ce1052736b4dd34af832a8e652ec9b5

[ "Apache-2.0" ]

null

tests/test_all.py

vidartf/jupyterlab_celltests

071ecb8d1ce1052736b4dd34af832a8e652ec9b5

[ "Apache-2.0" ]

null

tests/test_all.py

vidartf/jupyterlab_celltests

071ecb8d1ce1052736b4dd34af832a8e652ec9b5

[ "Apache-2.0" ]

null

# for Coverage from jupyterlab_celltests import * from jupyterlab_celltests.extension import *

23.75

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95

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true

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1

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7

b613c80159a6337b24056abd3a25d2a49c7d5707

4,661

py

Python

tests/unit/aws/test_chain.py

TheRakeshPurohit/localstack

063e07827934a7c7ff00e6d7cf6e243bcce0eb99

[ "Apache-2.0" ]

null

tests/unit/aws/test_chain.py

TheRakeshPurohit/localstack

063e07827934a7c7ff00e6d7cf6e243bcce0eb99

[ "Apache-2.0" ]

null

tests/unit/aws/test_chain.py

TheRakeshPurohit/localstack

063e07827934a7c7ff00e6d7cf6e243bcce0eb99

[ "Apache-2.0" ]

null

from unittest import mock from localstack.aws.api import RequestContext from localstack.aws.chain import CompositeHandler, HandlerChain from localstack.http import Response class TestCompositeHandler: def test_composite_handler_stops_handler_chain(self): def inner1(_chain: HandlerChain, request: RequestContext, response: Response): _chain.stop() inner2 = mock.MagicMock() outer1 = mock.MagicMock() outer2 = mock.MagicMock() response1 = mock.MagicMock() chain = HandlerChain() composite = CompositeHandler() composite.handlers.append(inner1) composite.handlers.append(inner2) chain.request_handlers.append(outer1) chain.request_handlers.append(composite) chain.request_handlers.append(outer2) chain.response_handlers.append(response1) chain.handle(RequestContext(), Response()) outer1.assert_called_once() outer2.assert_not_called() inner2.assert_not_called() response1.assert_called_once() def test_composite_handler_terminates_handler_chain(self): def inner1(_chain: HandlerChain, request: RequestContext, response: Response): _chain.terminate() inner2 = mock.MagicMock() outer1 = mock.MagicMock() outer2 = mock.MagicMock() response1 = mock.MagicMock() chain = HandlerChain() composite = CompositeHandler() composite.handlers.append(inner1) composite.handlers.append(inner2) chain.request_handlers.append(outer1) chain.request_handlers.append(composite) chain.request_handlers.append(outer2) chain.response_handlers.append(response1) chain.handle(RequestContext(), Response()) outer1.assert_called_once() outer2.assert_not_called() inner2.assert_not_called() response1.assert_not_called() def test_composite_handler_with_not_return_on_stop(self): def inner1(_chain: HandlerChain, request: RequestContext, response: Response): _chain.stop() inner2 = mock.MagicMock() outer1 = mock.MagicMock() outer2 = mock.MagicMock() response1 = mock.MagicMock() chain = HandlerChain() composite = CompositeHandler(return_on_stop=False) composite.handlers.append(inner1) composite.handlers.append(inner2) chain.request_handlers.append(outer1) chain.request_handlers.append(composite) chain.request_handlers.append(outer2) chain.response_handlers.append(response1) chain.handle(RequestContext(), Response()) outer1.assert_called_once() outer2.assert_not_called() inner2.assert_called_once() response1.assert_called_once() def test_composite_handler_continues_handler_chain(self): inner1 = mock.MagicMock() inner2 = mock.MagicMock() outer1 = mock.MagicMock() outer2 = mock.MagicMock() response1 = mock.MagicMock() chain = HandlerChain() composite = CompositeHandler() composite.handlers.append(inner1) composite.handlers.append(inner2) chain.request_handlers.append(outer1) chain.request_handlers.append(composite) chain.request_handlers.append(outer2) chain.response_handlers.append(response1) chain.handle(RequestContext(), Response()) outer1.assert_called_once() outer2.assert_called_once() inner1.assert_called_once() inner2.assert_called_once() response1.assert_called_once() def test_composite_handler_exception_calls_outer_exception_handlers(self): def inner1(_chain: HandlerChain, request: RequestContext, response: Response): raise ValueError() inner2 = mock.MagicMock() outer1 = mock.MagicMock() outer2 = mock.MagicMock() exception_handler = mock.MagicMock() response1 = mock.MagicMock() chain = HandlerChain() composite = CompositeHandler() composite.handlers.append(inner1) composite.handlers.append(inner2) chain.request_handlers.append(outer1) chain.request_handlers.append(composite) chain.request_handlers.append(outer2) chain.exception_handlers.append(exception_handler) chain.response_handlers.append(response1) chain.handle(RequestContext(), Response()) outer1.assert_called_once() outer2.assert_not_called() inner2.assert_not_called() exception_handler.assert_called_once() response1.assert_called_once()

33.292857

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b61478fb35e3ca6b046c833fddc4fe857563a2d6

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Python

tests/test_projects.py

dvd7587/listthedocs

b4734be11977ea971e0ad5fa2e9920cc63e54ec0

[ "MIT" ]

3

2019-08-12T13:46:13.000Z

2020-03-20T08:09:16.000Z

tests/test_projects.py

dvd7587/listthedocs

b4734be11977ea971e0ad5fa2e9920cc63e54ec0

[ "MIT" ]

7

2019-08-12T13:06:32.000Z

2020-03-28T14:33:16.000Z

tests/test_projects.py

dvd7587/listthedocs

b4734be11977ea971e0ad5fa2e9920cc63e54ec0

[ "MIT" ]

2

2019-09-26T14:31:09.000Z

2019-10-01T08:49:47.000Z

import pytest def test_get_missing_project(client): response = client.get('/api/v2/projects/test_project') assert response.status_code == 404 def test_get_project_when_none_exists(client): response = client.get('/api/v2/projects') assert response.status_code == 200 projects = response.get_json() assert len(projects) == 0 def test_add_project_creates_and_returns_the_project(client): response = client.post('/api/v2/projects', json={'title': 'Test Project', 'description': 'A very long string'}) assert response.status_code == 201 project = response.get_json() assert project['code'] == 'test-project' assert project['title'] == 'Test Project' assert project['description'] == 'A very long string' assert 'logo' in project def test_get_project_returns_the_project(client): response = client.post('/api/v2/projects', json={'title': 'Test Project', 'description': 'A very long string'}) assert response.status_code == 201 response = client.get('/api/v2/projects/test-project') assert response.status_code == 200 project = response.get_json() assert project['code'] == 'test-project' assert project['title'] == 'Test Project' assert project['description'] == 'A very long string' assert 'logo' in project def test_get_projects_returns_all_the_projects(client): response = client.post('/api/v2/projects', json={'title': 'Test Project 1', 'description': 'Tests description 1'}) assert response.status_code == 201 response = client.post('/api/v2/projects', json={'title': 'Test Project 2', 'description': 'Tests description 2'}) assert response.status_code == 201 response = client.get('/api/v2/projects') assert response.status_code == 200 projects = response.get_json() assert isinstance(projects, list) assert projects[0]['code'] == 'test-project-1' assert projects[0]['title'] == 'Test Project 1' assert projects[0]['description'] == 'Tests description 1' assert projects[1]['code'] == 'test-project-2' assert projects[1]['title'] == 'Test Project 2' assert projects[1]['description'] == 'Tests description 2' def test_update_project_description(client): response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 response = client.patch('/api/v2/projects/test_project', json={'description': 'Short string'}) assert response.status_code == 200 project = response.get_json() assert project['code'] == 'test_project' assert project['title'] == 'test_project' assert project['description'] == 'Short string' assert 'logo' in project def test_update_project_logo(client): response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 response = client.patch('/api/v2/projects/test_project', json={'logo': 'image.jpg'}) assert response.status_code == 200 project = response.get_json() assert project['code'] == 'test_project' assert project['title'] == 'test_project' assert project['description'] == 'A very long string' assert project['logo'] == 'image.jpg' def test_update_project_title(client): response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 response = client.patch('/api/v2/projects/test_project', json={'title': 'Test Project'}) assert response.status_code == 200 project = response.get_json() assert project['code'] == 'test_project' assert project['title'] == 'Test Project' assert project['description'] == 'A very long string' assert 'logo' in project def test_delete_project(client): # Add a project response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 # Add a version response = client.post( '/api/v2/projects/test_project/versions', json={'name': '1.0.0', 'url': 'www.example.com/index.html'} ) assert response.status_code == 201 response = client.delete('/api/v2/projects/test_project') assert response.status_code == 200 response = client.get('/api/v2/projects/test_project') assert response.status_code == 404 def test_add_version(client): response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 response = client.post( '/api/v2/projects/test_project/versions', json={'name': '1.0.0', 'url': 'www.example.com/index.html'} ) assert response.status_code == 201 project = response.get_json() assert project['code'] == 'test_project' assert project['title'] == 'test_project' assert project['description'] == 'A very long string' assert 'logo' in project assert project['versions'][0]['name'] == '1.0.0' assert project['versions'][0]['url'] == 'www.example.com/index.html' def test_remove_version(client): response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 # Add multiple versions response = client.post( '/api/v2/projects/test_project/versions', json={'name': '1.0.0', 'url': 'www.example.com/1.0.0/index.html'} ) assert response.status_code == 201 response = client.post( '/api/v2/projects/test_project/versions', json={'name': '2.0.0', 'url': 'www.example.com/2.0.0/index.html'} ) assert response.status_code == 201 # Remove a version response = client.delete('/api/v2/projects/test_project/versions/2.0.0') assert response.status_code == 200 response = client.get('/api/v2/projects/test_project') assert response.status_code == 200 project = response.get_json() assert project['code'] == 'test_project' assert project['title'] == 'test_project' assert project['description'] == 'A very long string' assert 'logo' in project assert isinstance(project['versions'], list) assert len(project['versions']) == 1 assert project['versions'][0]['name'] == '1.0.0' assert project['versions'][0]['url'] == 'www.example.com/1.0.0/index.html' def test_update_version_link(client): response = client.post('/api/v2/projects', json={'title': 'test_project', 'description': 'A very long string'}) assert response.status_code == 201 # Add multiple versions response = client.post( '/api/v2/projects/test_project/versions', json={'name': '1.0.0', 'url': 'www.example.com/1.0.0/index.html'} ) assert response.status_code == 201 response = client.post( '/api/v2/projects/test_project/versions', json={'name': '2.0.0', 'url': 'www.example.com/2.0.0/index.html'} ) assert response.status_code == 201 # Patch a version link response = client.patch( '/api/v2/projects/test_project/versions/2.0.0', json={'url': 'www.newexample.com/2.0.0/index.html'} ) assert response.status_code == 200 project = response.get_json() assert project['code'] == 'test_project' assert project['title'] == 'test_project' assert project['description'] == 'A very long string' assert 'logo' in project assert isinstance(project['versions'], list) assert project['versions'][0]['name'] == '1.0.0' assert project['versions'][0]['url'] == 'www.example.com/1.0.0/index.html' assert project['versions'][1]['name'] == '2.0.0' assert project['versions'][1]['url'] == 'www.newexample.com/2.0.0/index.html' def test_add_same_version_name_to_different_projects(client): response = client.post('/api/v2/projects', json={'title': 'test_project1', 'description': 'A very long string'}) assert response.status_code == 201 response = client.post('/api/v2/projects', json={'title': 'test_project2', 'description': 'A very long string'}) assert response.status_code == 201 # Add version 1.0.0 to test_project1 response = client.post( '/api/v2/projects/test_project1/versions', json={'name': '1.0.0', 'url': 'www.example.com/1.0.0/index.html'} ) assert response.status_code == 201 # Add version 1.0.0 to test_project2 response = client.post( '/api/v2/projects/test_project2/versions', json={'name': '1.0.0', 'url': 'www.example.com/1.0.0/index.html'} ) assert response.status_code == 201 def test_add_same_version_name_multiple_time_to_project_fails(client): response = client.post('/api/v2/projects', json={'title': 'test_project1', 'description': 'A very long string'}) assert response.status_code == 201 # Add version 1.0.0 to test_project1 response = client.post( '/api/v2/projects/test_project1/versions', json={'name': '1.0.0', 'url': 'www.example.com/1.0.0/index.html'} ) assert response.status_code == 201 # Add version 1.0.0 to test_project1 twice, fail response = client.post( '/api/v2/projects/test_project1/versions', json={'name': '1.0.0', 'url': 'www.example.com/1.0.0/index.html'} ) assert response.status_code == 409

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1

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null

0

1

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8

37765c4463f3862961c124cff2d04a4ccdf52b2e

6,657

py

Python

test/azure/low-level/Expected/AcceptanceTests/LroLowLevel/lrolowlevel/rest/lrosads/__init__.py

cfculhane/autorest.python

8cbca95faee88d933a58bbbd17b76834faa8d387

[ "MIT" ]

35

2018-04-03T12:15:53.000Z

2022-03-11T14:03:34.000Z

test/azure/low-level/Expected/AcceptanceTests/LroLowLevel/lrolowlevel/rest/lrosads/__init__.py

cfculhane/autorest.python

8cbca95faee88d933a58bbbd17b76834faa8d387

[ "MIT" ]

652

2017-08-28T22:44:41.000Z

2022-03-31T21:20:31.000Z

test/azure/low-level/Expected/AcceptanceTests/LroLowLevel/lrolowlevel/rest/lrosads/__init__.py

cfculhane/autorest.python

8cbca95faee88d933a58bbbd17b76834faa8d387

[ "MIT" ]

29

2017-08-28T20:57:01.000Z

2022-03-11T14:03:38.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- try: from ._request_builders_py3 import build_put_non_retry400_request from ._request_builders_py3 import build_put_non_retry201_creating400_request from ._request_builders_py3 import build_put_non_retry201_creating400_invalid_json_request from ._request_builders_py3 import build_put_async_relative_retry400_request from ._request_builders_py3 import build_delete_non_retry400_request from ._request_builders_py3 import build_delete202_non_retry400_request from ._request_builders_py3 import build_delete_async_relative_retry400_request from ._request_builders_py3 import build_post_non_retry400_request from ._request_builders_py3 import build_post202_non_retry400_request from ._request_builders_py3 import build_post_async_relative_retry400_request from ._request_builders_py3 import build_put_error201_no_provisioning_state_payload_request from ._request_builders_py3 import build_put_async_relative_retry_no_status_request from ._request_builders_py3 import build_put_async_relative_retry_no_status_payload_request from ._request_builders_py3 import build_delete204_succeeded_request from ._request_builders_py3 import build_delete_async_relative_retry_no_status_request from ._request_builders_py3 import build_post202_no_location_request from ._request_builders_py3 import build_post_async_relative_retry_no_payload_request from ._request_builders_py3 import build_put200_invalid_json_request from ._request_builders_py3 import build_put_async_relative_retry_invalid_header_request from ._request_builders_py3 import build_put_async_relative_retry_invalid_json_polling_request from ._request_builders_py3 import build_delete202_retry_invalid_header_request from ._request_builders_py3 import build_delete_async_relative_retry_invalid_header_request from ._request_builders_py3 import build_delete_async_relative_retry_invalid_json_polling_request from ._request_builders_py3 import build_post202_retry_invalid_header_request from ._request_builders_py3 import build_post_async_relative_retry_invalid_header_request from ._request_builders_py3 import build_post_async_relative_retry_invalid_json_polling_request except (SyntaxError, ImportError): from ._request_builders import build_put_non_retry400_request # type: ignore from ._request_builders import build_put_non_retry201_creating400_request # type: ignore from ._request_builders import build_put_non_retry201_creating400_invalid_json_request # type: ignore from ._request_builders import build_put_async_relative_retry400_request # type: ignore from ._request_builders import build_delete_non_retry400_request # type: ignore from ._request_builders import build_delete202_non_retry400_request # type: ignore from ._request_builders import build_delete_async_relative_retry400_request # type: ignore from ._request_builders import build_post_non_retry400_request # type: ignore from ._request_builders import build_post202_non_retry400_request # type: ignore from ._request_builders import build_post_async_relative_retry400_request # type: ignore from ._request_builders import build_put_error201_no_provisioning_state_payload_request # type: ignore from ._request_builders import build_put_async_relative_retry_no_status_request # type: ignore from ._request_builders import build_put_async_relative_retry_no_status_payload_request # type: ignore from ._request_builders import build_delete204_succeeded_request # type: ignore from ._request_builders import build_delete_async_relative_retry_no_status_request # type: ignore from ._request_builders import build_post202_no_location_request # type: ignore from ._request_builders import build_post_async_relative_retry_no_payload_request # type: ignore from ._request_builders import build_put200_invalid_json_request # type: ignore from ._request_builders import build_put_async_relative_retry_invalid_header_request # type: ignore from ._request_builders import build_put_async_relative_retry_invalid_json_polling_request # type: ignore from ._request_builders import build_delete202_retry_invalid_header_request # type: ignore from ._request_builders import build_delete_async_relative_retry_invalid_header_request # type: ignore from ._request_builders import build_delete_async_relative_retry_invalid_json_polling_request # type: ignore from ._request_builders import build_post202_retry_invalid_header_request # type: ignore from ._request_builders import build_post_async_relative_retry_invalid_header_request # type: ignore from ._request_builders import build_post_async_relative_retry_invalid_json_polling_request # type: ignore __all__ = [ "build_put_non_retry400_request", "build_put_non_retry201_creating400_request", "build_put_non_retry201_creating400_invalid_json_request", "build_put_async_relative_retry400_request", "build_delete_non_retry400_request", "build_delete202_non_retry400_request", "build_delete_async_relative_retry400_request", "build_post_non_retry400_request", "build_post202_non_retry400_request", "build_post_async_relative_retry400_request", "build_put_error201_no_provisioning_state_payload_request", "build_put_async_relative_retry_no_status_request", "build_put_async_relative_retry_no_status_payload_request", "build_delete204_succeeded_request", "build_delete_async_relative_retry_no_status_request", "build_post202_no_location_request", "build_post_async_relative_retry_no_payload_request", "build_put200_invalid_json_request", "build_put_async_relative_retry_invalid_header_request", "build_put_async_relative_retry_invalid_json_polling_request", "build_delete202_retry_invalid_header_request", "build_delete_async_relative_retry_invalid_header_request", "build_delete_async_relative_retry_invalid_json_polling_request", "build_post202_retry_invalid_header_request", "build_post_async_relative_retry_invalid_header_request", "build_post_async_relative_retry_invalid_json_polling_request", ]

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1

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null

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1

0

8

3786381edee6cb1b9357c1b304dc60bb41433171

6,501

py

Python

01-Single-Layer/letters.py

maikelSoFly/PSI_GCP04_zima_2017-2018_Mikolaj_Stepniewski

012a97e54c186b1fb25e8300dd77e16759632c6e

[ "Apache-2.0" ]

null

01-Single-Layer/letters.py

maikelSoFly/PSI_GCP04_zima_2017-2018_Mikolaj_Stepniewski

012a97e54c186b1fb25e8300dd77e16759632c6e

[ "Apache-2.0" ]

null

01-Single-Layer/letters.py

maikelSoFly/PSI_GCP04_zima_2017-2018_Mikolaj_Stepniewski

012a97e54c186b1fb25e8300dd77e16759632c6e

[ "Apache-2.0" ]

null

class LetterInput(): def __init__(self, letter): self.__dict__['_x'] = [] # expected output for whole task (lowercase/uppercase) self.__dict__['_d'] = None self.__dict__['_interD'] = None # expected outputs for 3 subtasks self.__dict__['_letter'] = letter self.getLetter() def getLetter(self): if self._letter == 'a': self._x = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1 ] self._interD = [0, 0, 0] self._d = 0 elif self._letter == 'b': self._x = [ 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0 ] self._interD = [1, 0, 0] self._d = 0 elif self._letter == 't': self._x = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0 ] self._interD = [0, 0, 0] self._d = 0 elif self._letter == 'p': self._x = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0 ] self._interD = [0, 0, 0] self._d = 0 elif self._letter == 'c': self._x = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0 ] self._interD = [0, 0, 0] self._d = 0 elif self._letter == 'w': self._x = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 ] self._interD = [1, 0, 1] self._d = 0 elif self._letter == 'd': self._x = [ 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1 ] self._interD = [0, 0, 0] self._d = 0 elif self._letter == 'o': self._x = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0 ] self._interD = [0, 0, 0] self._d = 0 elif self._letter == 'A': self._x = [ 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1 ] self._interD = [1, 1, 1] self._d = 1 elif self._letter == 'B': self._x = [ 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0 ] self._interD = [1, 1, 1] self._d = 1 elif self._letter == 'I': self._x = [ 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0 ] self._interD = [0, 1, 0] self._d = 1 elif self._letter == 'C': self._x = [ 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, ] self._interD = [1, 1, 0] self._d = 1 elif self._letter == 'D': self._x = [ 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, ] self._interD = [1, 1, 1] self._d = 1 elif self._letter == 'F': self._x = [ 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, ] self._interD = [1, 1, 0] self._d = 1 elif self._letter == 'K': self._x = [ 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, ] self._interD = [1, 1, 1] self._d = 1 elif self._letter == 'H': self._x = [ 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, ] self._interD = [1, 1, 1] self._d = 1 def __getitem__(self, index): if index == 'x': return self._x elif index == 'd': return self._d elif index == 'interD': return self._interD

28.765487

74

0.239963

844

6,501

1.735782

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0.344027

0.339932

0.278498

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0.756997

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0.692833

0.681229

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0.621135

6,501

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75

28.893333

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1

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1

0

1

0

null

0

12

80d9d89a31bf6210a4296666f39422be9a34d120

1,121

py

Python

src/tests/test_utils_evform.py

reddcoin-project/ReddConnect

5c212683de6b80b81fd15ed05239c3a1b46c3afd

[ "BSD-3-Clause" ]

5

2015-01-30T08:47:59.000Z

2022-01-22T19:27:03.000Z

src/tests/test_utils_evform.py

reddcoin-project/ReddConnect

5c212683de6b80b81fd15ed05239c3a1b46c3afd

[ "BSD-3-Clause" ]

2

2017-12-28T21:36:48.000Z

2017-12-28T21:36:57.000Z

src/tests/test_utils_evform.py

reddcoin-project/ReddConnect

5c212683de6b80b81fd15ed05239c3a1b46c3afd

[ "BSD-3-Clause" ]

1

2019-01-05T15:51:37.000Z

import unittest class TestEvForm(unittest.TestCase): def test___init__(self): # ev_form = EvForm(filename, cells, tables, form, **kwargs) assert True # TODO: implement your test here def test___str__(self): # ev_form = EvForm(filename, cells, tables, form, **kwargs) # self.assertEqual(expected, ev_form.__str__()) assert True # TODO: implement your test here def test___unicode__(self): # ev_form = EvForm(filename, cells, tables, form, **kwargs) # self.assertEqual(expected, ev_form.__unicode__()) assert True # TODO: implement your test here def test_map(self): # ev_form = EvForm(filename, cells, tables, form, **kwargs) # self.assertEqual(expected, ev_form.map(cells, tables, **kwargs)) assert True # TODO: implement your test here def test_reload(self): # ev_form = EvForm(filename, cells, tables, form, **kwargs) # self.assertEqual(expected, ev_form.reload(filename, form, **kwargs)) assert True # TODO: implement your test here if __name__ == '__main__': unittest.main()

37.366667

78

0.657449

136

1,121

5.110294

0.227941

0.077698

0.071942

0.115108

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0.22926

1,121

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0.357143

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null

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1

0

null

0

1

0

1

0

7

037fdc5dd491679d9f26eabbb2a0e0416e133cbd

63

py

Python

src/Set/removeSet.py

mikeludemann/helperFunctions_Python

62b1e8279eee216f3603f55cf2d010d611e3be0e

[ "MIT" ]

null

src/Set/removeSet.py

mikeludemann/helperFunctions_Python

62b1e8279eee216f3603f55cf2d010d611e3be0e

[ "MIT" ]

null

src/Set/removeSet.py

mikeludemann/helperFunctions_Python

62b1e8279eee216f3603f55cf2d010d611e3be0e

[ "MIT" ]

null

x = set([0, 1, 2, 3, 4, 5]) x.pop() print(x) x.pop() print(x)

9

27

0.47619

16

63

1.875

0.625

0.266667

0.6

0.666667

0

0.12

0.206349

63

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null

0

8

039bbf9c9cef10baaf89f0817f07f579fa3f7d9d

85

py

Python

radiomicsfeatureextractionpipeline/backend/test/component_tests/test_component_configuration_service.py

Maastro-CDS-Imaging-Group/SQLite4Radiomics

e3a7afc181eec0fe04c18da00edc3772064e6758

[ "Apache-2.0" ]

null

radiomicsfeatureextractionpipeline/backend/test/component_tests/test_component_configuration_service.py

Maastro-CDS-Imaging-Group/SQLite4Radiomics

e3a7afc181eec0fe04c18da00edc3772064e6758

[ "Apache-2.0" ]

6

2021-06-09T19:39:27.000Z

2021-09-30T16:41:40.000Z

radiomicsfeatureextractionpipeline/backend/test/component_tests/test_component_configuration_service.py

Maastro-CDS-Imaging-Group/SQLite4Radiomics

e3a7afc181eec0fe04c18da00edc3772064e6758

[ "Apache-2.0" ]

null

import unittest class ConfigurationServiceComponentTest(unittest.TestCase): pass

21.25

59

0.847059

7

85

10.285714

0.857143

0

0.105882

85

4

60

21.25

0.947368

0

1

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true

0.333333

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

7

ff08270a8a407317e5dc818c839a44622de49cac

177

py

Python

Machine Learning and Data Science/Basic/Medical Data Visualizer/main.py

ayushi1210/Project-Guidance

31d227ab70756a9afabce41ce577bd8cec1d264b

[ "MIT" ]

1

2022-03-03T09:30:07.000Z

Machine Learning and Data Science/Basic/Medical Data Visualizer/main.py

srinjoy-26/Project-Guidance

504f37e8f7566db2d1bca873df7dd1fff5368497

[ "MIT" ]

null

Machine Learning and Data Science/Basic/Medical Data Visualizer/main.py

srinjoy-26/Project-Guidance

504f37e8f7566db2d1bca873df7dd1fff5368497

[ "MIT" ]

null

import medical_data_visualizer from unittest import main medical_data_visualizer.draw_cat_plot() medical_data_visualizer.draw_heat_map() main(module='test_module', exit=False)

25.285714

39

0.864407

26

177

5.461538

0.615385

0.232394

0.443662

0.352113

0

0.062147

177

7

40

25.285714

0.855422

0

0.061798

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1

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true

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0.4

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null

1

0

1

0

null

0

1

0

1

0

7

454b2545b0229b623b30216a76675c0a6443427a

23,392

py

Python

a1/grad_descent.py

zhangtravis/IntSys-Education

407e0e1f60b57a922b84f6813378a0bddc178c3a

[ "MIT" ]

null

a1/grad_descent.py

zhangtravis/IntSys-Education

407e0e1f60b57a922b84f6813378a0bddc178c3a

[ "MIT" ]

null

a1/grad_descent.py

zhangtravis/IntSys-Education

407e0e1f60b57a922b84f6813378a0bddc178c3a

[ "MIT" ]

null

"""Gradient Descent Assignment for CDS Intelligent Systems.""" import typing import random import numpy as np from plotting import plot_grad_descent_1d, plot_linear_1d # ============================================================================ # Example Hypothesis Functions # ============================================================================ def linear_h(theta, x): """linear_h: The linear hypothesis regressor. :param theta: parameters for our linear regressor; shape (1, features) :type theta: np.ndarray :param x: input that model is predicting; shape (samples, features) :type x: np.ndarray :return: The predictions of our model on inputs X; shape (samples, 1) :rtype: np.ndarray """ return (theta @ x.T).T def linear_grad_h(theta, x): """linear_h: The gradient of the linear hypothesis regressor. :param theta: parameters for our linear regressor; shape (1, features) :type theta: np.ndarray :param x: input that model is predicting; shape (samples, features) :type x: np.ndarray :return: The gradient of our linear regressor; shape (samples, features) :rtype: np.ndarray """ return x def parabolic_h(theta, x): """parabolic_h: The parabolic hypothesis regressor. :param theta: parameters for our parabolic regressor; shape (1, features) :type theta: np.ndarray :param x: input that model is predicting; shape (samples, features) :type x: np.ndarray :return: The predictions of our model on inputs X; shape (samples, 1) :rtype: np.ndarray """ return (theta @ (x ** 2).T).T def parabolic_grad_h(theta, x): """parabolic_grad_h: The gradient of the parabolic hypothesis regressor. :param theta: parameters for our parabolic regressor; shape (1, features) :type theta: np.ndarray :param x: input that model is predicting; shape is (samples, features) :type x: np.ndarray :return: The gradient of our parabolic regressor; shape (samples, features) :rtype: np.ndarray """ return x ** 2 # Add your own hypotheses if you want def loss_f1(h, theta, x, y): """loss_f1 returns the loss for special function f1. This function is for demonstration purposes, since it ignores data points x and y. :param h: hypothesis function that is being used :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param theta: The parameters for our model, must be of shape (2,) :type theta: np.ndarray of shape (-1, 2) :param x: A matrix of samples and their respective features. :type x: np.ndarray of shape (samples, features) :param y: The expected targets our model is attempting to match :type y: np.ndarray of shape (samples,) :return: Return the function evaluation of theta, x, y :rtype: int or np.ndarray of shape (theta.shape[1],) """ theta = np.reshape(theta, (-1, 2)) w1 = theta[:, 0] w2 = theta[:, 0] return ( -2 * np.exp(-((w1 - 1) * (w1 - 1) + w2 * w2) / 0.2) + -3 * np.exp(-((w1 + 1) * (w1 + 1) + y * y) / 0.2) + w1 * w1 + w2 * w2 ) def grad_loss_f1(h, grad_h, theta, x, y): """grad_loss_f1 returns the gradients for the loss of the f1 function. This function is for demonstration purposes, since it ignores data points x and y. :param h: The hypothesis function that predicts our output given weights :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: The gradient function of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param theta: The parameters for our model. :type theta: np.ndarray of shape (-1, 2) :param x: A matrix of samples and their respective features. :type x: np.ndarray of shape (samples, features) :param y: The expected targets our model is attempting to match :type y: np.ndarray of shape (samples,) :return: gradients for the loss function along the two axes :rtype: np.ndarray """ theta = np.reshape(theta, (-1, 2)) w1 = theta[:, 0] w2 = theta[:, 0] step = 1e-7 grad_w1 = (loss_f1(w1 + step, w2) - loss_f1(w1, w2)) / step grad_w2 = (loss_f1(w1, w2 + step) - loss_f1(w1, y)) / step return np.array((grad_w1, grad_w2)) def l2_loss( h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray], grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray], theta: np.ndarray, x, y): """l2_loss: standard l2 loss. The l2 loss is defined as (h(x) - y)^2. This is usually used for linear regression in the sum of squares. :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param theta: The parameters of our hypothesis function of shape (1, features) :type theta: np.ndarray :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :type y: np.ndarray :return: The l2 loss value :rtype: float """ return np.sum(np.square((h(theta, x) - y))) def grad_l2_loss(h, grad_h, theta, x, y): """grad_l2_loss: The gradient of the standard l2 loss. The gradient of l2 loss is given by d/dx[(h(x) - y)^2] which is evaluated to 2*(h(x) - y)*h'(x). :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param theta: The parameters of our hypothesis fucntion :type theta: np.ndarray :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :type y: np.ndarray :return: The l2 loss gradient of shape (1, features) :rtype: np.ndarray """ return np.sum(2 * (h(theta, x) - y) * grad_h(theta, x), axis=0).reshape(1, -1) # ============================================================================ # YOUR CODE GOES HERE: # ============================================================================ def grad_descent(h, grad_h, loss_f, grad_loss_f, x, y, steps): """grad_descent: gradient descent algorithm on a hypothesis class. This does not use the matrix operations from numpy, this function uses the brute force calculations :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param loss_f: loss function that we will be optimizing on :type loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param grad_loss_f: the gradient of the loss function we are optimizing :type grad_loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :param y: np.ndarray :param steps: number of steps to take in the gradient descent algorithm :type steps: int :return: Ideal weights of shape (1, features), and the list of weights through time :rtype: tuple[np.ndarray, np.ndarray] """ # TODO 1: Write the traditional gradient descent algorithm without matrix # operations or numpy vectorization # Ideal Parameter weight = np.random.random((1, x.shape[1])) # List of ideal parameters through time weightList = [] # Size of data dataSize = len(x) # Learning rate alpha = 0.01 for _ in range(steps): weightList.append(weight) totalGradLoss = 0 # Loop through all the x data for i in range(dataSize): # Calculate and add grad of loss with respect to input data x_i totalGradLoss += grad_loss_f(h, grad_h, weight, x[i], y[i]) # Update weight weight = weight - alpha * 1 / dataSize * totalGradLoss return weight, np.array(weightList) def stochastic_grad_descent(h, grad_h, loss_f, grad_loss_f, x, y, steps): """grad_descent: gradient descent algorithm on a hypothesis class. This does not use the matrix operations from numpy, this function uses the brute force calculations :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param loss_f: loss function that we will be optimizing on :type loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param grad_loss_f: the gradient of the loss function we are optimizing :type grad_loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :param y: np.ndarray :param steps: number of steps to take in the gradient descent algorithm :type steps: int :return: Ideal weights of shape (1, features), and the list of weights through time :rtype: tuple[np.ndarray, np.ndarray] """ # TODO 2 #initialize weight of h(x) weight = np.random.random((1,x.shape[1])) # List of ideal parameters through time weightList = [] # Learning rate alpha = 0.01 for _ in range(steps): weightList.append(weight) # find a sample randomly i = random.randrange(len(x)) # Calculate gradient of loss with respect to the picked sample gradLoss = grad_loss_f(h, grad_h, weight, x[i], y[i]) # Update weight weight = weight - alpha * gradLoss return weight, np.array(weightList) def minibatch_grad_descent(h, grad_h, loss_f, grad_loss_f, x, y, steps, batch_size=8): """grad_descent: gradient descent algorithm on a hypothesis class. This does not use the matrix operations from numpy, this function uses the brute force calculations :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param loss_f: loss function that we will be optimizing on :type loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param grad_loss_f: the gradient of the loss function we are optimizing :type grad_loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :type y: np.ndarray :param steps: number of steps to take in the gradient descent algorithm :type steps: int :param batch_size: Size of each batch :type batch_size: int :return: Ideal weights of shape (1, features), and the list of weights through time :rtype: tuple[np.ndarray, np.ndarray] """ # TODO 3: Write the stochastic mini-batch gradient descent algorithm without # matrix operations or numpy vectorization # Ideal Parameter weight = np.random.random_sample((1,x.shape[1])) # List of ideal parameters through time weightList = [] # Learning rate alpha = 0.01 for _ in range(steps): weightList.append(weight) # Create minibatches mini_batches = create_mini_batch(x, y, batch_size) for mini_batch in mini_batches: x_mini, y_mini = mini_batch # Store total grad loss for a mini batch totalGradMiniLoss = 0 for x_i, y_i in zip(x_mini, y_mini): # Calculate gradient of loss with respect to x_i and add it to total grad mini loss totalGradMiniLoss += grad_loss_f(h, grad_h, weight, x_i, y_i) # Update weight weight = weight - alpha * 1 / len(mini_batch) * totalGradMiniLoss return weight, np.array(weightList) def create_mini_batch(x, y, batch_size): """creates mini batches of input x and y. Each batch will have size batch_size :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: Groundtruth labels of shape (samples, 1) :type y: np.ndarray :param batch_size: Size of each batch :type batch_size: int :return: List of mini batches for x and y :rtype: [np.ndarray] """ # Calculate number of batches no_of_batches = x.shape[0] // batch_size # stack x and y data together so that during shuffling # corresponding x stays with corresponding y data = np.hstack((x, y)) # shuffle data np.random.shuffle(data) # List of batches mini_batches = [] for i in range(no_of_batches + 1): # Check if there is enough data to create mini_batch of shape (batch_size, 2) if (i+1) * batch_size > data.shape[0]: # Append rest of data to end of mini_batches # mini_batch has shape smaller (bs, 2) where bs < batch_size mini_batch = data[i * batch_size:] else: # Split data into segments where mini_batch has shape (batch_size, 2) mini_batch = data[i * batch_size:(i+1) * batch_size, :] # Split each mini batch to x and y components x_mini_batch = mini_batch[:, :-1] y_mini_batch = mini_batch[:, -1].reshape((-1, 1)) # Append as a tuple with each element having shape (batch_size, 1) mini_batches.append((x_mini_batch, y_mini_batch)) return mini_batches def matrix_gd(h, grad_h, loss_f, grad_loss_f, x, y, steps, batch_size=8): """grad_descent: gradient descent algorithm on a hypothesis class. This does not use the matrix operations from numpy, this function uses the brute force calculations :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param loss_f: loss function that we will be optimizing on :type loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param grad_loss_f: the gradient of the loss function we are optimizing :type grad_loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :param y: np.ndarray :param steps: number of steps to take in the gradient descent algorithm :type steps: int :param batch_size: number of elements in each training batch :type batch_size: int :return: Ideal weights of shape (1, features), and the list of weights through time :rtype: tuple[np.ndarray, np.ndarray] """ # TODO 4: Write the traditional gradient descent algorithm WITH matrix # operations or numpy vectorization # Ideal Parameter weight = np.random.random_sample((1,x.shape[1])) # List of ideal parameters through time weightList = [] # Learning rate alpha = 0.01 # number of samples datasize = len(x) for _ in range(steps): #update the weight weight = weight - alpha * grad_loss_f(h, grad_h, weight, x,y)/datasize weightList.append(weight) return weight, np.array(weightList) def matrix_sgd(h, grad_h, loss_f, grad_loss_f, x, y, steps): """grad_descent: gradient descent algorithm on a hypothesis class. This does not use the matrix operations from numpy, this function uses the brute force calculations :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param loss_f: loss function that we will be optimizing on :type loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param grad_loss_f: the gradient of the loss function we are optimizing :type grad_loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :param y: np.ndarray :param steps: number of steps to take in the gradient descent algorithm :type steps: int :return: Ideal weights of shape (1, features), and the list of weights through time :rtype: tuple[np.ndarray, np.ndarray] """ # TODO 5: Write the stochastic gradient descent algorithm WITH matrix # operations or numpy vectorization # Ideal Parameter weight = np.random.random((1,x.shape[1])) # List of ideal parameters through time weightList = [] # Learning rate alpha = 0.01 for _ in range(steps): weightList.append(weight) # Randomly choose element in x idx = np.random.randint(0, len(x)) # Calculate gradient of loss with respect to x[idx] gradLoss = grad_loss_f(h, grad_h, weight, x[idx], y[idx]) # Update weight weight = weight - alpha * gradLoss return weight, np.array(weightList) def matrix_minibatch_gd(h, grad_h, loss_f, grad_loss_f, x, y, steps, batch_size=8): """matrix_minibatch_gd: Mini-Batch GD using numpy matrix operations Stochastic Mini-batch GD with batches of size batch_size using numpy operations to speed up all of the operations :param h: hypothesis function that models our data (x) using theta :type h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param grad_h: function for the gradient of our hypothesis function :type grad_h: typing.Callable[[np.ndarray, np.ndarray], np.ndarray] :param loss_f: loss function that we will be optimizing on :type loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param grad_loss_f: the gradient of the loss function we are optimizing :type grad_loss_f: typing.Callable[ [ typing.Callable[[np.ndarray, np.ndarray], np.ndarray], typing.Callable[[np.ndarray, np.ndarray], np.ndarray], np.ndarray, np.ndarray, np.ndarray ], np.ndarray] :param x: Input matrix of shape (samples, features) :type x: np.ndarray :param y: The expected targets our model is attempting to match, of shape (samples, 1) :param y: np.ndarray :param steps: number of steps to take in the gradient descent algorithm :type steps: int :param batch_size: number of elements in each training batch :type batch_size: int :return: Ideal weights of shape (1, features), and the list of weights through time :rtype: tuple[np.ndarray, np.ndarray] """ # TODO 6: Write the stochastic mini-batch gradient descent algorithm WITH # matrix operations or numpy vectorization weight = np.random.random((1, x.shape[1])) # List of ideal parameters through time weightList = [] # Learning rate alpha = 0.01 for _ in range(steps): weightList.append(weight) # Create minibatches mini_batches = create_mini_batch(x, y, batch_size) for i in range(len(mini_batches)): x_batch, y_batch = mini_batches[i] # Calculate gradient of loss with respect to the samples in batch gradLoss = grad_loss_f(h, grad_h, weight, x_batch, y_batch) # Update weight weight = weight - alpha * 1 / batch_size * gradLoss return weight, np.array(weightList) # ============================================================================ # Sample tests that you can run to ensure the basics are working # ============================================================================ def save_linear_gif(): """simple_linear: description.""" x = np.arange(-3, 4, 0.1).reshape((-1, 1)) y = 2*np.arange(-3, 4, 0.1).reshape((-1, 1)) x_support = np.array((0, 4)) y_support = np.array((-0.1, 200)) plot_linear_1d( linear_h, linear_grad_h, l2_loss, grad_l2_loss, x, y, matrix_minibatch_gd, x_support, y_support ) plot_grad_descent_1d( linear_h, linear_grad_h, l2_loss, grad_l2_loss, x, y, matrix_minibatch_gd, x_support, y_support ) def test_gd(grad_des_f): pass if __name__ == "__main__": save_linear_gif()

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Python

VacationPy/api_keys.py

scottthomas586/python-api-challenge

c45b3dd469ac0a2b541a2127d5e2a5865750197b

[ "ADSL" ]

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VacationPy/api_keys.py

scottthomas586/python-api-challenge

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[ "ADSL" ]

null

VacationPy/api_keys.py

scottthomas586/python-api-challenge

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[ "ADSL" ]

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Python

sdk/python/pulumi_gcp/projects/service.py

la3mmchen/pulumi-gcp

0e3c6fecd062dff78a4fd95b7ebd5ce4492ad1ea

[ "ECL-2.0", "Apache-2.0" ]

121

2018-06-18T19:16:42.000Z

2022-03-31T06:06:48.000Z

sdk/python/pulumi_gcp/projects/service.py

la3mmchen/pulumi-gcp

0e3c6fecd062dff78a4fd95b7ebd5ce4492ad1ea

[ "ECL-2.0", "Apache-2.0" ]

492

2018-06-22T19:41:03.000Z

2022-03-31T15:33:53.000Z

sdk/python/pulumi_gcp/projects/service.py

la3mmchen/pulumi-gcp

0e3c6fecd062dff78a4fd95b7ebd5ce4492ad1ea

[ "ECL-2.0", "Apache-2.0" ]

43

2018-06-19T01:43:13.000Z

2022-03-23T22:43:37.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['ServiceArgs', 'Service'] @pulumi.input_type class ServiceArgs: def __init__(__self__, *, service: pulumi.Input[str], disable_dependent_services: Optional[pulumi.Input[bool]] = None, disable_on_destroy: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Service resource. :param pulumi.Input[str] service: The service to enable. :param pulumi.Input[bool] disable_dependent_services: If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. :param pulumi.Input[bool] disable_on_destroy: If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. :param pulumi.Input[str] project: The project ID. If not provided, the provider project is used. """ pulumi.set(__self__, "service", service) if disable_dependent_services is not None: pulumi.set(__self__, "disable_dependent_services", disable_dependent_services) if disable_on_destroy is not None: pulumi.set(__self__, "disable_on_destroy", disable_on_destroy) if project is not None: pulumi.set(__self__, "project", project) @property @pulumi.getter def service(self) -> pulumi.Input[str]: """ The service to enable. """ return pulumi.get(self, "service") @service.setter def service(self, value: pulumi.Input[str]): pulumi.set(self, "service", value) @property @pulumi.getter(name="disableDependentServices") def disable_dependent_services(self) -> Optional[pulumi.Input[bool]]: """ If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. """ return pulumi.get(self, "disable_dependent_services") @disable_dependent_services.setter def disable_dependent_services(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_dependent_services", value) @property @pulumi.getter(name="disableOnDestroy") def disable_on_destroy(self) -> Optional[pulumi.Input[bool]]: """ If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. """ return pulumi.get(self, "disable_on_destroy") @disable_on_destroy.setter def disable_on_destroy(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_on_destroy", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The project ID. If not provided, the provider project is used. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @pulumi.input_type class _ServiceState: def __init__(__self__, *, disable_dependent_services: Optional[pulumi.Input[bool]] = None, disable_on_destroy: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, service: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering Service resources. :param pulumi.Input[bool] disable_dependent_services: If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. :param pulumi.Input[bool] disable_on_destroy: If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. :param pulumi.Input[str] project: The project ID. If not provided, the provider project is used. :param pulumi.Input[str] service: The service to enable. """ if disable_dependent_services is not None: pulumi.set(__self__, "disable_dependent_services", disable_dependent_services) if disable_on_destroy is not None: pulumi.set(__self__, "disable_on_destroy", disable_on_destroy) if project is not None: pulumi.set(__self__, "project", project) if service is not None: pulumi.set(__self__, "service", service) @property @pulumi.getter(name="disableDependentServices") def disable_dependent_services(self) -> Optional[pulumi.Input[bool]]: """ If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. """ return pulumi.get(self, "disable_dependent_services") @disable_dependent_services.setter def disable_dependent_services(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_dependent_services", value) @property @pulumi.getter(name="disableOnDestroy") def disable_on_destroy(self) -> Optional[pulumi.Input[bool]]: """ If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. """ return pulumi.get(self, "disable_on_destroy") @disable_on_destroy.setter def disable_on_destroy(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_on_destroy", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The project ID. If not provided, the provider project is used. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @property @pulumi.getter def service(self) -> Optional[pulumi.Input[str]]: """ The service to enable. """ return pulumi.get(self, "service") @service.setter def service(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service", value) class Service(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, disable_dependent_services: Optional[pulumi.Input[bool]] = None, disable_on_destroy: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, service: Optional[pulumi.Input[str]] = None, __props__=None): """ Allows management of a single API service for a Google Cloud Platform project. For a list of services available, visit the [API library page](https://console.cloud.google.com/apis/library) or run `gcloud services list --available`. This resource requires the [Service Usage API](https://console.cloud.google.com/apis/library/serviceusage.googleapis.com) to use. To get more information about `projects.Service`, see: * [API documentation](https://cloud.google.com/service-usage/docs/reference/rest/v1/services) * How-to Guides * [Enabling and Disabling Services](https://cloud.google.com/service-usage/docs/enable-disable) ## Example Usage ```python import pulumi import pulumi_gcp as gcp project = gcp.projects.Service("project", disable_dependent_services=True, project="your-project-id", service="iam.googleapis.com") ``` ## Import Project services can be imported using the `project_id` and `service`, e.g. ```sh $ pulumi import gcp:projects/service:Service my_project your-project-id/iam.googleapis.com ``` Note that unlike other resources that fail if they already exist, `terraform apply` can be successfully used to verify already enabled services. This means that when importing existing resources into Terraform, you can either import the `google_project_service` resources or treat them as new infrastructure and run `terraform apply` to add them to state. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] disable_dependent_services: If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. :param pulumi.Input[bool] disable_on_destroy: If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. :param pulumi.Input[str] project: The project ID. If not provided, the provider project is used. :param pulumi.Input[str] service: The service to enable. """ ... @overload def __init__(__self__, resource_name: str, args: ServiceArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Allows management of a single API service for a Google Cloud Platform project. For a list of services available, visit the [API library page](https://console.cloud.google.com/apis/library) or run `gcloud services list --available`. This resource requires the [Service Usage API](https://console.cloud.google.com/apis/library/serviceusage.googleapis.com) to use. To get more information about `projects.Service`, see: * [API documentation](https://cloud.google.com/service-usage/docs/reference/rest/v1/services) * How-to Guides * [Enabling and Disabling Services](https://cloud.google.com/service-usage/docs/enable-disable) ## Example Usage ```python import pulumi import pulumi_gcp as gcp project = gcp.projects.Service("project", disable_dependent_services=True, project="your-project-id", service="iam.googleapis.com") ``` ## Import Project services can be imported using the `project_id` and `service`, e.g. ```sh $ pulumi import gcp:projects/service:Service my_project your-project-id/iam.googleapis.com ``` Note that unlike other resources that fail if they already exist, `terraform apply` can be successfully used to verify already enabled services. This means that when importing existing resources into Terraform, you can either import the `google_project_service` resources or treat them as new infrastructure and run `terraform apply` to add them to state. :param str resource_name: The name of the resource. :param ServiceArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(ServiceArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, disable_dependent_services: Optional[pulumi.Input[bool]] = None, disable_on_destroy: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, service: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = ServiceArgs.__new__(ServiceArgs) __props__.__dict__["disable_dependent_services"] = disable_dependent_services __props__.__dict__["disable_on_destroy"] = disable_on_destroy __props__.__dict__["project"] = project if service is None and not opts.urn: raise TypeError("Missing required property 'service'") __props__.__dict__["service"] = service super(Service, __self__).__init__( 'gcp:projects/service:Service', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, disable_dependent_services: Optional[pulumi.Input[bool]] = None, disable_on_destroy: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, service: Optional[pulumi.Input[str]] = None) -> 'Service': """ Get an existing Service resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] disable_dependent_services: If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. :param pulumi.Input[bool] disable_on_destroy: If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. :param pulumi.Input[str] project: The project ID. If not provided, the provider project is used. :param pulumi.Input[str] service: The service to enable. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _ServiceState.__new__(_ServiceState) __props__.__dict__["disable_dependent_services"] = disable_dependent_services __props__.__dict__["disable_on_destroy"] = disable_on_destroy __props__.__dict__["project"] = project __props__.__dict__["service"] = service return Service(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="disableDependentServices") def disable_dependent_services(self) -> pulumi.Output[Optional[bool]]: """ If `true`, services that are enabled and which depend on this service should also be disabled when this service is destroyed. If `false` or unset, an error will be generated if any enabled services depend on this service when destroying it. """ return pulumi.get(self, "disable_dependent_services") @property @pulumi.getter(name="disableOnDestroy") def disable_on_destroy(self) -> pulumi.Output[Optional[bool]]: """ If true, disable the service when the resource is destroyed. Defaults to true. May be useful in the event that a project is long-lived but the infrastructure running in that project changes frequently. """ return pulumi.get(self, "disable_on_destroy") @property @pulumi.getter def project(self) -> pulumi.Output[str]: """ The project ID. If not provided, the provider project is used. """ return pulumi.get(self, "project") @property @pulumi.getter def service(self) -> pulumi.Output[str]: """ The service to enable. """ return pulumi.get(self, "service")

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null

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7

641677016464e3ba2273660e984ffe8ae1bd61be

191

py

Python

EllipticCurves/__init__.py

SymmetricChaos/FiniteFields

65258e06b7f04ce15223c1bc0c2384ef5e9cec1a

[ "MIT" ]

1

2021-08-22T15:03:59.000Z

EllipticCurves/__init__.py

SymmetricChaos/NumberTheory

65258e06b7f04ce15223c1bc0c2384ef5e9cec1a

[ "MIT" ]

null

EllipticCurves/__init__.py

SymmetricChaos/NumberTheory

65258e06b7f04ce15223c1bc0c2384ef5e9cec1a

[ "MIT" ]

null

from EllipticCurves.EllipticPoint import Elliptic_Curve, Elliptic_Point, cyclic_subgroup, cyclic_subgroups __all__=["Elliptic_Curve", "Elliptic_Point", "cyclic_subgroup", "cyclic_subgroups"]

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null

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8

ff3b611e8f198e7137d2689ee3e2312362c9937f

263

py

Python

hawkweed/classes/repr.py

hellerve/hawkweed

0cdb378f7dac5ab76ad53d6c1917f0ac5687793c

[ "MIT" ]

20

2016-06-13T19:24:20.000Z

2022-01-26T14:08:11.000Z

hawkweed/classes/repr.py

hellerve/hawkweed

0cdb378f7dac5ab76ad53d6c1917f0ac5687793c

[ "MIT" ]

null

hawkweed/classes/repr.py

hellerve/hawkweed

0cdb378f7dac5ab76ad53d6c1917f0ac5687793c

[ "MIT" ]

null

"""The Representation base class.""" class Repr(object): """The Representation base class.""" def __repr__(self): return "{}({})".format(self.__class__.__name__, super(Repr, self).__repr__()) def __str__(self): return self.__repr__()

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null

0

1

0

1

0

8

ff7e53d272b307dbef698ceac943c40417998c9f

15,931

py

Python

kd.py

microsoft/semiparametric-distillation

b7153f1e8bbbe6d8261f64c23828611a5419a13a

[ "MIT" ]

6

2021-04-21T00:51:43.000Z

2021-10-29T21:11:30.000Z

kd.py

microsoft/semiparametric-distillation

b7153f1e8bbbe6d8261f64c23828611a5419a13a

[ "MIT" ]

null

kd.py

microsoft/semiparametric-distillation

b7153f1e8bbbe6d8261f64c23828611a5419a13a

[ "MIT" ]

4

2021-04-25T08:54:44.000Z

2022-03-10T18:54:45.000Z

import torch from torch import nn from torch.nn import functional as F class KDLoss(nn.Module): """ Loss with knowledge distillation. """ def __init__(self, temperature=1.0, alpha=0.5): super().__init__() self.temperature = temperature self.alpha = alpha def forward(self, student_logit, teacher_logit, target, loss_original): # Adapted from https://github.com/huggingface/pytorch-transformers/blob/master/examples/distillation/distiller.py # Scaled by temperature^2 to balance the soft and hard loss # See https://github.com/peterliht/knowledge-distillation-pytorch/blob/master/model/net.py # or https://github.com/stanford-futuredata/lit-code/blob/master/cifar10/distillation_loss.py kl = F.kl_div(F.log_softmax(student_logit / self.temperature, dim=-1), F.softmax(teacher_logit / self.temperature, dim=-1), reduction='batchmean') loss_kd = kl * self.temperature ** 2 return (1 - self.alpha) * loss_original + self.alpha * loss_kd class KDMSELoss(nn.Module): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, scale='logp'): super().__init__() assert scale in ['logp', 'p'] self.alpha = alpha self.scale = scale def forward(self, student_logit, teacher_logit, target, loss_original): if self.scale == 'logp': loss_kd = F.mse_loss(student_logit, teacher_logit) else: p = F.softmax(teacher_logit, dim=-1) loss_kd = F.mse_loss(student_logit, p) return (1 - self.alpha) * loss_original + self.alpha * loss_kd class KDOrthoLoss(KDLoss): """ Orthogonal loss with knowledge distillation. """ def __init__(self, temperature=1.0, alpha=0.5, eps=1e-2, smoothing=0.0): super().__init__(temperature, alpha) self.eps = eps self.smoothing = smoothing # How much to shrink toward uniform def forward(self, student_logit, teacher_logit, target, loss_original): kl = F.kl_div(F.log_softmax(student_logit / self.temperature, dim=-1), F.softmax(teacher_logit / self.temperature, dim=-1), reduction='batchmean') # w = F.softmax(teacher_logit / self.temperature, dim=-1) # ce_temp = (torch.logsumexp(student_logit / self.temperature, dim=-1) # - (w * student_logit).sum(dim=-1) / self.temperature).mean() # p = F.softmax(teacher_logit, dim=-1) # logit_q = student_logit # ce = cross_entropy(logit_q, p, self.temperature) # log_q = F.log_softmax(logit_q / temperature, dim=-1) # psi = lambda s: torch.logsumexp(s / self.temperature, dim=-1) first_order_term = self._first_order_term(student_logit, teacher_logit, target) loss_kd = (kl + first_order_term) * self.temperature ** 2 # print(loss_original.item(), kl.item(), first_order_term.item()) return (1 - self.alpha) * loss_original + self.alpha * loss_kd def _first_order_term(self, student_logit, teacher_logit, target): a = 1.0 / self.temperature w = F.softmax(teacher_logit / self.temperature, dim=-1) log_q = F.log_softmax(student_logit / self.temperature, dim=-1) p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() yp_1 = y / p.clamp(self.eps) - 1.0 # print(yp_1.max().item(), (w / p).max().item()) yp_1_w = yp_1 * w # print(yp_1_w.max().item(), yp_1_w.abs().mean().item()) # TODO: einsum or tensordot is probably faster ortho1 = (yp_1_w.sum(dim=-1) * (w * log_q).sum(dim=-1)) ortho2 = -(yp_1_w * log_q).sum(dim=-1) # y_p = (F.one_hot(target, nclasses).float() - p) # ortho1 = a * ((y_p * w).sum(dim=-1) * (w * log_q / p).sum(dim=-1)).mean() # ortho2 = -a * (y_p * w * log_q / p).sum(dim=-1).mean() # ortho1 = a * ((y_p * (w/p)).sum(dim=-1) * (w * log_q).sum(dim=-1)) # ortho2 = -a * (y_p * w * log_q / p).sum(dim=-1) return a * (ortho1 + ortho2).mean(dim=0) # temp1 = (yp_1_w.sum(dim=-1) * (w * student_logit).sum(dim=-1)) # temp2 = -(yp_1_w * student_logit).sum(dim=-1) # return a**2 * (temp1 + temp2).mean(dim=0) # yp = y / p.clamp(self.eps) # yp_w = yp * w # temp1 = (yp_w.sum(dim=-1) * (w * student_logit).sum(dim=-1)) # temp2 = -(yp_w * student_logit).sum(dim=-1) # return a**2 * (temp1 + temp2).mean(dim=0) class KDMSEOrthoLoss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, eps=1e-2, smoothing=0.0): super().__init__(alpha) self.eps = eps self.smoothing = smoothing def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() yp_1 = y / p.clamp(self.eps) - 1.0 loss_kd = F.mse_loss(student_logit, teacher_logit + yp_1) return (1 - self.alpha) * loss_original + self.alpha * loss_kd def find_optimal_gamma_sampling(phat, bound_fn, max_range=10, alpha=1.0, scale='logp'): assert scale in ['p', 'logp'] phat_shape = phat.shape phat = phat.flatten() gamma = torch.arange(-max_range, max_range, 0.05, device=phat.device).unsqueeze(-1).unsqueeze(-1) if scale == 'p': def objective(p): return (gamma * (p - phat) - (p - phat))**2 + (1 / alpha - 1 + gamma)**2 * p * (1 - p) else: def objective(p): return (gamma * (p - phat) - (torch.log(p) - torch.log(phat)))**2 + (1 / alpha - 1 + gamma)**2 * p * (1 - p) bound_l, bound_h = bound_fn(phat) p_vals = bound_l + torch.linspace(0.0, 1.0, 10, device=phat.device).unsqueeze(-1) * (bound_h - bound_l) objs = objective(p_vals) max_objs = objs.max(dim=1)[0] return gamma[torch.argmin(max_objs, dim=0)].reshape(*phat_shape) def find_optimal_gamma_relerr(phat, c, max_range=10, alpha=1.0): phat_shape = phat.shape phat = phat.flatten() gamma = torch.arange(-max_range, max_range, 0.05, device=phat.device).unsqueeze(-1).unsqueeze(-1) def objective(p): return (gamma * (p - phat) - (torch.log(p) - torch.log(phat)))**2 + (1 / alpha - 1 + gamma)**2 * p * (1 - p) bound_l = torch.clamp(phat / (1 + c), min=1e-6) bound_h = torch.clamp(phat * (1 + c), max=1.0) p_vals = bound_l + torch.linspace(0.0, 1.0, 10, device=phat.device).unsqueeze(-1) * (bound_h - bound_l) objs = objective(p_vals) max_objs = objs.max(dim=1)[0] return gamma[torch.argmin(max_objs, dim=0)].reshape(*phat_shape) class KDMSEMinimaxRelerrLoss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, scale='logp', smoothing=0.0, c=2.0): super().__init__(alpha, scale) self.smoothing = smoothing self.c = c def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform # Convert student_logit and teacher_logit to log probabilities # Nvm this makes the loss NaN # student_logit = F.log_softmax(student_logit, dim=-1) # teacher_logit = F.log_softmax(teacher_logit, dim=-1) y = F.one_hot(target, student_logit.shape[-1]).float() bound_l = 0.0 if self.scale == 'p' else 1e-6 bound_fn = lambda phat: (torch.clamp(phat / (1 + self.c), min=bound_l), torch.clamp(phat * (1 + self.c), max=1.0)) gamma = find_optimal_gamma_sampling(p, bound_fn, alpha=self.alpha, scale=self.scale) if self.scale == 'logp': loss_kd = F.mse_loss(student_logit, teacher_logit + gamma * (y - p)) else: loss_kd = F.mse_loss(student_logit, p + gamma * (y - p)) return (1 - self.alpha) * loss_original + self.alpha * loss_kd class KDMSEGamma1Loss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, smoothing=0.0): super().__init__(alpha) self.smoothing = smoothing def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() gamma = 1.0 loss_kd = F.mse_loss(student_logit, teacher_logit + gamma * (y - p)) return (1 - self.alpha) * loss_original + self.alpha * loss_kd class KDMSEGammaVarLoss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, smoothing=0.0): super().__init__(alpha) self.smoothing = smoothing def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() gamma = 1 - p loss_kd = F.mse_loss(student_logit, teacher_logit + gamma * (y - p)) return (1 - self.alpha) * loss_original + self.alpha * loss_kd def find_optimal_gamma_power(phat, tmax, max_range=10, alpha=1.0): phat_shape = phat.shape phat = phat.flatten() gamma = torch.arange(-max_range, max_range, 0.05, device=phat.device).unsqueeze(-1).unsqueeze(-1) def objective(p): return (gamma * (p - phat) - (torch.log(p) - torch.log(phat)))**2 + (1 / alpha - 1 + gamma)**2 * p * (1 - p) bound_l = torch.clamp(phat, min=1e-6) bound_h = torch.clamp(phat ** (1 / tmax), max=1.0) p_vals = bound_l + torch.linspace(0.0, 1.0, 10, device=phat.device).unsqueeze(-1) * (bound_h - bound_l) objs = objective(p_vals) max_objs = objs.max(dim=1)[0] return gamma[torch.argmin(max_objs, dim=0)].reshape(*phat_shape) class KDMSEMinimaxPowerLoss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, scale='logp', smoothing=0.0, tmax=2.0): super().__init__(alpha, scale) self.smoothing = smoothing self.tmax = tmax def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() bound_l = 0.0 if self.scale == 'p' else 1e-6 bound_fn = lambda phat: (torch.clamp(phat, min=bound_l), torch.clamp(phat ** (1 / self.tmax), max=1.0)) gamma = find_optimal_gamma_sampling(p, bound_fn, alpha=self.alpha, scale=self.scale) if self.scale == 'logp': loss_kd = F.mse_loss(student_logit, teacher_logit + gamma * (y - p)) else: loss_kd = F.mse_loss(student_logit, p + gamma * (y - p)) return (1 - self.alpha) * loss_original + self.alpha * loss_kd def find_optimal_gamma_abserr(phat, c, max_range=10, alpha=1.0): phat_shape = phat.shape phat = phat.flatten() gamma = torch.arange(-max_range, max_range, 0.05, device=phat.device).unsqueeze(-1).unsqueeze(-1) def objective(p): return (gamma * (p - phat) - (torch.log(p) - torch.log(phat)))**2 + (1 / alpha - 1 + gamma)**2 * p * (1 - p) bound_l = torch.clamp(phat - c, min=1e-3) bound_h = torch.clamp(phat + c, max=1.0) p_vals = bound_l + torch.linspace(0.0, 1.0, 10, device=phat.device).unsqueeze(-1) * (bound_h - bound_l) objs = objective(p_vals) max_objs = objs.max(dim=1)[0] return gamma[torch.argmin(max_objs, dim=0)].reshape(*phat_shape) class KDMSEMinimaxAbserrLoss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, scale='logp', smoothing=0.0, c=0.05): super().__init__(alpha, scale) self.smoothing = smoothing self.c = c def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() bound_l = 0.0 if self.scale == 'p' else 1e-3 bound_fn = lambda phat: (torch.clamp(phat - self.c, min=bound_l), torch.clamp(phat + self.c, max=1.0)) gamma = find_optimal_gamma_sampling(p, bound_fn, alpha=self.alpha, scale=self.scale) if self.scale == 'logp': loss_kd = F.mse_loss(student_logit, teacher_logit + gamma * (y - p)) else: loss_kd = F.mse_loss(student_logit, p + gamma * (y - p)) return (1 - self.alpha) * loss_original + self.alpha * loss_kd class KDMSEBoundFast(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, scale='logp', smoothing=0.0, c=1.0): super().__init__(alpha, scale) self.smoothing = smoothing self.c = c def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() bound_l = 0.0 if self.scale == 'p' else 1e-3 p_clipped = torch.clamp(p, min=bound_l) if self.scale == 'logp': gamma = self.c / p_clipped / (self.c + (y - p)**2) loss_kd = F.mse_loss(student_logit, teacher_logit + gamma * (y - p)) else: gamma = self.c / (self.c + (y - p)**2) loss_kd = F.mse_loss(student_logit, p + gamma * (y - p)) return (1 - self.alpha) * loss_original + self.alpha * loss_kd class KDMSEVarRedOrthoLoss(KDMSELoss): """ Loss with knowledge distillation. """ def __init__(self, alpha=0.5, smoothing=0.0): super().__init__(alpha) self.smoothing = smoothing def forward(self, student_logit, teacher_logit, target, loss_original): p = F.softmax(teacher_logit, dim=-1) if self.smoothing > 0.0: uniform = torch.ones_like(p) / student_logit.shape[-1] p = (1.0 - self.smoothing) * p + self.smoothing * uniform y = F.one_hot(target, student_logit.shape[-1]).float() yp_1 = y / p - 1.0 # TODO Cross term to avoid numerical error # TODO Try explicit gradient loss_kd = ((student_logit - (teacher_logit + yp_1))**2 * p).mean() temp = ((student_logit - teacher_logit - y / p + 1.0)**2 * p).mean() temp = (((student_logit - teacher_logit + 1.0)**2 * p + y**2/p - 2*y*(student_logit - teacher_logit + 1.0)) ).mean() temp = (((student_logit - teacher_logit)**2 * p + (y-p)**2/p - 2*(y-p)*(student_logit - teacher_logit)) ).mean() return (1 - self.alpha) * loss_original + self.alpha * loss_kd

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1

0

null

0

7

ff892b92d26ac04427ae495f98de50e6a5e4119e

88,796

py

Python

tests/token/test_IbetShare.py

BoostryJP/ibet-SmartContract

dc3f73a708ef145e7200ce58fce4e8171e21d3c2

[ "Apache-2.0" ]

10

2021-06-12T08:43:50.000Z

2022-02-17T14:24:48.000Z

tests/token/test_IbetShare.py

BoostryJP/ibet-SmartContract

dc3f73a708ef145e7200ce58fce4e8171e21d3c2

[ "Apache-2.0" ]

44

2021-04-11T06:43:10.000Z

2022-03-30T12:42:32.000Z

tests/token/test_IbetShare.py

BoostryJP/ibet-SmartContract

dc3f73a708ef145e7200ce58fce4e8171e21d3c2

[ "Apache-2.0" ]

1

2022-03-09T07:27:57.000Z

""" Copyright BOOSTRY Co., Ltd. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. SPDX-License-Identifier: Apache-2.0 """ import brownie import pytest def init_args(): name = 'test_share' symbol = 'test_symbol' issue_price = 2 ** 256 - 1 total_supply = 2 ** 256 - 1 dividends = 2 ** 256 - 1 dividend_record_date = '20200829' dividend_payment_date = '20200831' cancellation_date = '20191231' principal_value = 2 ** 256 - 1 deploy_args = [ name, symbol, issue_price, total_supply, dividends, dividend_record_date, dividend_payment_date, cancellation_date, principal_value ] return deploy_args def issue_transferable_share_token(issuer, exchange_address, personal_info_address): from brownie import IbetShare name = 'test_share' symbol = 'IBS' issue_price = 1000 total_supply = 10000 dividends = 1000 dividend_record_date = '20200829' dividend_payment_date = '20200831' cancellation_date = '20191231' principal_value = 1000 deploy_args = [ name, symbol, issue_price, total_supply, dividends, dividend_record_date, dividend_payment_date, cancellation_date, principal_value ] share_token = issuer.deploy(IbetShare, *deploy_args) share_token.setTradableExchange.transact(exchange_address, {'from': issuer}) share_token.setPersonalInfoAddress.transact(personal_info_address, {'from': issuer}) share_token.setTransferable.transact(True, {'from': issuer}) return share_token, deploy_args # TEST_deploy class TestDeploy: # Normal_1 def test_normal_1(self, IbetShare, users): issuer = users['issuer'] deploy_args = init_args() share_contract = issuer.deploy( IbetShare, *deploy_args ) owner_address = share_contract.owner() name = share_contract.name() symbol = share_contract.symbol() issue_price = share_contract.issuePrice() principal_value = share_contract.principalValue() total_supply = share_contract.totalSupply() dividend_information = share_contract.dividendInformation() cancellation_date = share_contract.cancellationDate() is_canceled = share_contract.isCanceled() status = share_contract.status() balance = share_contract.balanceOf(issuer) assert owner_address == issuer assert name == deploy_args[0] assert symbol == deploy_args[1] assert issue_price == deploy_args[2] assert total_supply == deploy_args[3] assert dividend_information[0] == deploy_args[4] assert dividend_information[1] == deploy_args[5] assert dividend_information[2] == deploy_args[6] assert cancellation_date == deploy_args[7] assert principal_value == deploy_args[8] assert is_canceled == False assert status == True assert balance == total_supply # backward compatible calls assert share_contract.offeringStatus() == False assert share_contract.referenceUrls(0) == "" # TEST_setPrincipalValue class TestSetPrincipalValue: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users["issuer"] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update principal value share_token.setPrincipalValue.transact( 9000, {"from": issuer} ) # assertion assert share_token.principalValue() == 9000 ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users["issuer"] trader = users['trader'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update principal value with brownie.reverts(): share_token.setPrincipalValue.transact( 9000, {"from": trader} ) # assertion assert share_token.principalValue() == deploy_args[8] # TEST_setTradableExchange class TestSetTradableExchange: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # change exchange contract share_token.setTradableExchange.transact( brownie.ETH_ADDRESS, {'from': issuer} ) # assertion assert share_token.tradableExchange() == brownie.ETH_ADDRESS ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # change exchange contract with brownie.reverts(): share_token.setTradableExchange.transact( brownie.ETH_ADDRESS, {'from': users['user1']} ) # assertion assert share_token.tradableExchange() == brownie.ZERO_ADDRESS # TEST_setPersonalInfoAddress class TestSetPersonalInfoAddress: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update contract share_token.setPersonalInfoAddress.transact( brownie.ETH_ADDRESS, {'from': issuer} ) # assertion assert share_token.personalInfoAddress() == brownie.ETH_ADDRESS ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update contract with brownie.reverts(): share_token.setPersonalInfoAddress.transact( brownie.ETH_ADDRESS, {'from': users['user1']} ) # assertion assert share_token.personalInfoAddress() == brownie.ZERO_ADDRESS # TEST_setDividendInformation class TestSetDividendInformation: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.setDividendInformation.transact( 22000, '20200829', '20200831', {'from': issuer} ) # assertion dividend_information = share_token.dividendInformation() assert dividend_information[0] == 22000 assert dividend_information[1] == '20200829' assert dividend_information[2] == '20200831' ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update with brownie.reverts(): share_token.setDividendInformation.transact( 22000, '20200829', '20200831', {'from': users['user1']} ) # assertion dividend_information = share_token.dividendInformation() assert dividend_information[0] == deploy_args[4] assert dividend_information[1] == deploy_args[5] assert dividend_information[2] == deploy_args[6] # TEST_setCancellationDate class TestSetCancellationDate: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.setCancellationDate.transact( '20200831', {'from': issuer} ) # assertion cancellation_date = share_token.cancellationDate() assert cancellation_date == '20200831' ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update with brownie.reverts(): share_token.setCancellationDate.transact( '20200930', {'from': users['user1']} ) # assertion cancellation_date = share_token.cancellationDate() assert cancellation_date == deploy_args[7] # TEST_setContactInformation class TestSetContactInformation: ####################################### # Normal ####################################### # 正常系1: 発行（デプロイ） -> 修正 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.setContactInformation.transact( 'updated contact information', {'from': issuer} ) # assertion contact_information = share_token.contactInformation() assert contact_information == 'updated contact information' ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update with brownie.reverts(): share_token.setContactInformation.transact( 'updated contact information', {'from': users['user1']} ) # assertion contact_information = share_token.contactInformation() assert contact_information == '' # TEST_setPrivacyPolicy class TestSetPrivacyPolicy: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.setPrivacyPolicy.transact( 'updated privacy policy', {'from': issuer} ) # assertion privacy_policy = share_token.privacyPolicy() assert privacy_policy == 'updated privacy policy' ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update with brownie.reverts(): share_token.setPrivacyPolicy.transact( 'updated privacy policy', {'from': users['user1']} ) # assertion privacy_policy = share_token.privacyPolicy() assert privacy_policy == '' # TEST_setMemo class TestSetMemo: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # set memo share_token.setMemo.transact( 'updated memo', {'from': issuer} ) # assertion memo = share_token.memo() assert memo == 'updated memo' ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # set memo with brownie.reverts(): share_token.setMemo.transact( 'updated memo', {'from': users['user1']} ) memo = share_token.memo() assert memo == '' # TEST_setTransferable class TestSetTransferable: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.setTransferable.transact(True, {'from': issuer}) # assertion assert share_token.transferable() is True ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update with brownie.reverts(): share_token.setTransferable.transact(True, {'from': users['user1']}) # assertion assert share_token.transferable() is False # TEST_changeOfferingStatus class TestChangeOfferingStatus: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.changeOfferingStatus.transact(True, {'from': issuer}) # assertion assert share_token.isOffering() is True ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # change exchange contract with brownie.reverts(): share_token.changeOfferingStatus.transact(True, {'from': users['user1']}) # TEST_balanceOf class TestBalanceOf: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # assertion balance = share_token.balanceOf(issuer) assert balance == deploy_args[3] # TEST_authorizeLockAddress class TestAuthorize: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # authorize share_token.authorizeLockAddress.transact( brownie.ETH_ADDRESS, True, {'from': issuer} ) # assertion assert share_token.authorizedLockAddress(brownie.ETH_ADDRESS) is True assert share_token.authorizedLockAddress(brownie.ZERO_ADDRESS) is False ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # authorize with brownie.reverts(): share_token.authorizeLockAddress.transact( brownie.ETH_ADDRESS, True, {'from': users['user1']} ) # assertion assert share_token.authorizedLockAddress(brownie.ETH_ADDRESS) is False # TEST_lock class TestLock: ####################################### # Normal ####################################### # Normal_1 # Lock assets to authorized addresses def test_normal_1(self, users, IbetShare): issuer = users['issuer'] user = users['user1'] target = users['user2'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 10 # transfer to account share_token.transferFrom.transact(issuer, user, transfer_amount, {'from': issuer}) # authorize target address share_token.authorizeLockAddress.transact(target, True, {'from': issuer}) # lock tx = share_token.lock.transact(target, lock_amount, {'from': user}) # assertion assert share_token.balanceOf(user) == transfer_amount - lock_amount assert share_token.lockedOf(target, user) == lock_amount assert tx.events["Lock"]["accountAddress"] == user assert tx.events["Lock"]["lockAddress"] == target assert tx.events["Lock"]["value"] == lock_amount # Normal_2 # Lock assets to issuer addresses def test_normal_2(self, users, IbetShare): issuer = users['issuer'] user = users['user1'] transfer_amount = 30 lock_amount = 10 # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # transfer to account share_token.transferFrom.transact(issuer, user, transfer_amount, {'from': issuer}) # lock share_token.lock.transact(issuer, lock_amount, {'from': user}) # assertion assert share_token.balanceOf(user) == transfer_amount - lock_amount assert share_token.lockedOf(issuer, user) == lock_amount ####################################### # Error ####################################### # Error_1 # Insufficient balance def test_error_1(self, users, IbetShare): issuer = users['issuer'] user = users['user1'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 40 # transfer to account share_token.transferFrom.transact(issuer, user, transfer_amount, {'from': issuer}) # lock with brownie.reverts(): share_token.lock.transact(issuer, lock_amount, {'from': user}) # assertion assert share_token.balanceOf(user) == transfer_amount assert share_token.lockedOf(issuer, user) == 0 # Error_2 # Lock assets to not authorized address def test_error_2(self, users, IbetShare): issuer = users['issuer'] user = users['user1'] not_authorized_address = users['user2'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 10 # transfer to account share_token.transferFrom.transact(issuer, user, transfer_amount, {'from': issuer}) # lock with brownie.reverts(): share_token.lock.transact(not_authorized_address, lock_amount, {'from': user}) # assertion assert share_token.balanceOf(user) == transfer_amount assert share_token.lockedOf(issuer, user) == 0 # TEST_lockedOf class TestLockedOf: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] user = users['user1'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 10 # transfer to account share_token.transferFrom.transact(issuer, user, transfer_amount, {'from': issuer}) # lock share_token.lock.transact(issuer, lock_amount, {'from': user}) # assertion assert share_token.lockedOf(issuer, user) == lock_amount # TEST_unlock class TestUnlock: ####################################### # Normal ####################################### # Normal_1 # authorized addresses def test_normal_1(self, users, IbetShare): issuer = users['issuer'] user1 = users['user1'] user2 = users['user2'] target = users['agent'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 20 unlock_amount = 10 # transfer to account share_token.transferFrom.transact(issuer, user1, transfer_amount, {'from': issuer}) # authorize target address share_token.authorizeLockAddress.transact(target, True, {'from': issuer}) # lock share_token.lock.transact(target, lock_amount, {'from': user1}) # unlock tx = share_token.unlock.transact(user1, user2, unlock_amount, {'from': target}) # assertion assert share_token.balanceOf(user1) == transfer_amount - lock_amount assert share_token.balanceOf(user2) == unlock_amount assert share_token.lockedOf(target, user1) == lock_amount - unlock_amount assert tx.events["Unlock"]["accountAddress"] == user1.address assert tx.events["Unlock"]["lockAddress"] == target.address assert tx.events["Unlock"]["recipientAddress"] == user2.address assert tx.events["Unlock"]["value"] == unlock_amount # Normal_2 # issuer def test_normal_2(self, users, IbetShare): issuer = users['issuer'] user1 = users['user1'] user2 = users['user2'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 20 unlock_amount = 10 # transfer to account share_token.transferFrom.transact(issuer, user1, transfer_amount, {'from': issuer}) # lock share_token.lock.transact(issuer, lock_amount, {'from': user1}) # unlock tx = share_token.unlock.transact(user1, user2, unlock_amount, {'from': issuer}) # assertion assert share_token.balanceOf(user1) == transfer_amount - lock_amount assert share_token.balanceOf(user2) == unlock_amount assert share_token.lockedOf(issuer, user1) == lock_amount - unlock_amount assert tx.events["Unlock"]["accountAddress"] == user1.address assert tx.events["Unlock"]["lockAddress"] == issuer.address assert tx.events["Unlock"]["recipientAddress"] == user2.address assert tx.events["Unlock"]["value"] == unlock_amount ####################################### # Error ####################################### # Error_1 # Cannot unlock a quantity that exceeds the lock quantity def test_error_1(self, users, IbetShare): issuer = users['issuer'] user1 = users['user1'] user2 = users['user2'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 10 unlock_amount = 11 # transfer to account share_token.transferFrom.transact(issuer, user1, transfer_amount, {'from': issuer}) # lock share_token.lock.transact(issuer, lock_amount, {'from': user1}) # unlock with brownie.reverts(): share_token.unlock.transact(user1, user2, unlock_amount, {'from': issuer}) # assertion assert share_token.balanceOf(user1) == transfer_amount - lock_amount assert share_token.balanceOf(user2) == 0 assert share_token.lockedOf(issuer, user1) == lock_amount # Error_2 # Not authorized def test_error_2(self, users, IbetShare): issuer = users['issuer'] user1 = users['user1'] user2 = users['user2'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) transfer_amount = 30 lock_amount = 10 unlock_amount = 3 # transfer to account share_token.transferFrom.transact(issuer, user1, transfer_amount, {'from': issuer}) # lock share_token.lock.transact(issuer, lock_amount, {'from': user1}) # unlock with brownie.reverts(): share_token.unlock.transact(user1, user2, unlock_amount, {'from': user2}) # assertion assert share_token.balanceOf(user1) == transfer_amount - lock_amount assert share_token.balanceOf(user2) == 0 assert share_token.lockedOf(issuer, user1) == lock_amount # TEST_transfer class TestTransfer: ####################################### # Normal ####################################### # Normal_1 # Transfer to EOA def test_normal_1(self, users, personal_info): issuer = users["issuer"] from_address = issuer to_address = users["trader"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # register personal info of to_address personal_info.register.transact( from_address.address, "encrypted_message", {'from': to_address} ) # transfer tx = share_token.transfer.transact( to_address.address, transfer_amount, {"from": issuer} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] - transfer_amount assert share_token.balanceOf(to_address) == transfer_amount assert tx.events["Transfer"]["from"] == from_address assert tx.events["Transfer"]["to"] == to_address assert tx.events["Transfer"]["value"] == transfer_amount # Normal_2 # Transfer to contract address def test_normal_2(self, users, exchange, personal_info): issuer = users["issuer"] from_address = issuer transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=exchange.address, personal_info_address=personal_info.address ) # transfer to_address = exchange.address tx = share_token.transfer.transact( to_address, transfer_amount, {"from": from_address} ) # assertion assert share_token.balanceOf(from_address) == deploy_args[3] - transfer_amount assert share_token.balanceOf(to_address) == transfer_amount assert tx.events["Transfer"]["from"] == from_address assert tx.events["Transfer"]["to"] == to_address assert tx.events["Transfer"]["value"] == transfer_amount ####################################### # Error ####################################### # Error_1 # Insufficient balance def test_error_1(self, users, personal_info): issuer = users["issuer"] from_address = issuer to_address = users["trader"] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # register personal info of to_address personal_info.register.transact( from_address.address, "encrypted_message", {'from': to_address} ) # transfer transfer_amount = deploy_args[3] + 1 with brownie.reverts(): share_token.transfer.transact( to_address.address, transfer_amount, {"from": issuer} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] assert share_token.balanceOf(to_address) == 0 # Error_2 # Cannot access private function def test_error_2(self, users): issuer = users["issuer"] from_address = issuer to_address = users["trader"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=brownie.ZERO_ADDRESS ) with pytest.raises(AttributeError): share_token.isContract(to_address) with pytest.raises(AttributeError): share_token.transferToAddress.transact( to_address, transfer_amount, "test_data", {"from": from_address} ) with pytest.raises(AttributeError): share_token.transferToContract.transact( to_address, transfer_amount, "test_data", {"from": from_address} ) # Error_3 # Not transferable token def test_error_3(self, users, IbetShare): issuer = users["issuer"] to_address = users["trader"] transfer_amount = 100 # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # transfer with brownie.reverts(revert_msg="Must be transferable."): share_token.transfer.transact( to_address, transfer_amount, {"from": issuer} ) # assertion from_balance = share_token.balanceOf(issuer) to_balance = share_token.balanceOf(to_address) assert from_balance == deploy_args[3] assert to_balance == 0 # Error_4 # Transfer to non-tradable exchange def test_error_4(self, users, IbetShare, exchange): issuer = users['issuer'] transfer_amount = 100 # issue transferable token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) share_token.setTransferable( True, {"from": issuer} ) # transfer with brownie.reverts(revert_msg="Transfers to contract addresses are only possible to tradableExchange."): share_token.transfer.transact( exchange, transfer_amount, {"from": issuer} ) assert share_token.balanceOf(issuer) == deploy_args[3] assert share_token.balanceOf(exchange) == 0 # Error_5 # Transfer to an address with personal information not registered def test_error_5(self, users, personal_info): issuer = users["issuer"] to_address = users["trader"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # transfer with brownie.reverts(revert_msg="The transfer is only possible if personal information is registered."): share_token.transfer.transact( to_address.address, transfer_amount, {"from": issuer} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] assert share_token.balanceOf(to_address) == 0 # Error_6 # Tokens that require transfer approval def test_error_6(self, users, personal_info): issuer = users["issuer"] to_address = users["trader"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # transfer with brownie.reverts(revert_msg="Direct transfer is not possible for tokens that require approval for transfer."): share_token.transfer.transact( to_address, transfer_amount, {"from": issuer} ) # assertion from_balance = share_token.balanceOf(issuer) to_balance = share_token.balanceOf(to_address) assert from_balance == deploy_args[3] assert to_balance == 0 # TEST_bulkTransfer class TestBulkTransfer: ####################################### # Normal ####################################### # Normal_1 # Bulk transfer to account address (1 data) def test_normal_1(self, users, personal_info): issuer = users["issuer"] from_address = issuer to_address = users["trader"] # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # register personal info (to_address) personal_info.register.transact( from_address.address, "encrypted_message", {"from": to_address} ) # bulk transfer to_address_list = [to_address] amount_list = [1] share_contract.bulkTransfer.transact( to_address_list, amount_list, {"from": from_address} ) # assertion from_balance = share_contract.balanceOf(from_address) to_balance = share_contract.balanceOf(to_address) assert from_balance == deploy_args[3] - 1 assert to_balance == 1 # Normal_2 # Bulk transfer to account address (multiple data) def test_normal_2(self, users, personal_info): issuer = users["issuer"] from_address = issuer to_address = users["trader"] # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # register personal info (to_address) personal_info.register.transact( from_address.address, "encrypted_message", {"from": to_address} ) # bulk transfer to_address_list = [] amount_list = [] for i in range(100): to_address_list.append(to_address) amount_list.append(1) share_contract.bulkTransfer.transact( to_address_list, amount_list, {"from": from_address} ) # assertion from_balance = share_contract.balanceOf(from_address) to_balance = share_contract.balanceOf(to_address) assert from_balance == deploy_args[3] - 100 assert to_balance == 100 # Normal_3 # Bulk transfer to contract address def test_normal_3(self, users, exchange, personal_info): issuer = users["issuer"] from_address = issuer # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=exchange.address, personal_info_address=personal_info.address ) # bulk transfer to_address_list = [exchange.address] amount_list = [1] share_contract.bulkTransfer.transact( to_address_list, amount_list, {"from": from_address} ) # assertion from_balance = share_contract.balanceOf(from_address) to_balance = share_contract.balanceOf(exchange.address) assert from_balance == deploy_args[3] - 1 assert to_balance == 1 ####################################### # Error ####################################### # Error_1 # Insufficient balance def test_error_1(self, users, personal_info): issuer = users['issuer'] from_address = issuer to_address = users['trader'] # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # register personal info (to_address) personal_info.register.transact( from_address, "encrypted_message", {"from": to_address} ) # bulk transfer with brownie.reverts(): share_contract.bulkTransfer.transact( [to_address, to_address], [deploy_args[3], 1], {'from': issuer} ) # assertion assert share_contract.balanceOf(issuer) == deploy_args[3] assert share_contract.balanceOf(to_address) == 0 # Error_2 # Not transferable token def test_error_2(self, users, personal_info): issuer = users["issuer"] from_address = issuer to_address = users["trader"] # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_contract.setTransferable.transact( False, {"from": issuer} ) # register personal info (to_address) personal_info.register.transact( from_address, "encrypted_message", {"from": to_address} ) # bulk transfer with brownie.reverts(): share_contract.bulkTransfer.transact( [to_address], [1], {"from": issuer} ) # assertion from_balance = share_contract.balanceOf(issuer) to_balance = share_contract.balanceOf(to_address) assert from_balance == deploy_args[3] assert to_balance == 0 # Error_3 # Transfer to an address with no personal information registered def test_error_3(self, users, personal_info): issuer = users["issuer"] to_address = users["trader"] # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # bulk transfer with brownie.reverts(): share_contract.bulkTransfer.transact( [to_address], [1], {'from': issuer} ) # assertion from_balance = share_contract.balanceOf(issuer) to_balance = share_contract.balanceOf(to_address) assert from_balance == deploy_args[3] assert to_balance == 0 # Error_4 # Tokens that require transfer approval cannot be executed. def test_error_4(self, users, personal_info): issuer = users["issuer"] to_address = users["trader"] # issue share token share_contract, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_contract.setTransferApprovalRequired( True, {"from": issuer} ) # bulk transfer with brownie.reverts(): share_contract.bulkTransfer.transact( [to_address], [1], {'from': issuer} ) # assertion from_balance = share_contract.balanceOf(issuer) to_balance = share_contract.balanceOf(to_address) assert from_balance == deploy_args[3] assert to_balance == 0 # TEST_transferFrom class TestTransferFrom: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, personal_info): issuer = users['issuer'] from_address = issuer to_address = users['user1'] value = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # forced transfer share_token.transferFrom.transact( from_address, to_address, value, {'from': issuer} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] - value assert share_token.balanceOf(to_address) == value ####################################### # Error ####################################### # Error_1 # Insufficient balance def test_error_1(self, users, personal_info): issuer = users['issuer'] from_address = issuer to_address = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # forced transfer with brownie.reverts(): share_token.transferFrom.transact( from_address, to_address, deploy_args[3] + 1, {'from': issuer} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] assert share_token.balanceOf(to_address) == 0 # Error_2 # Not authorized def test_error_2(self, users, personal_info): issuer = users['issuer'] from_address = issuer to_address = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # forced transfer with brownie.reverts(): share_token.transferFrom.transact( from_address, to_address, deploy_args[3] + 1, {'from': to_address} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] assert share_token.balanceOf(to_address) == 0 # TEST_applyForOffering class TestApplyForOffering: ####################################### # Normal ####################################### # Normal_1 # Default value def test_normal_1(self, users, personal_info): issuer = users['issuer'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # assertion application = share_token.applicationsForOffering(brownie.ETH_ADDRESS) assert application[0] == 0 assert application[1] == 0 assert application[2] == '' # Normal_2 def test_normal_2(self, users, personal_info): issuer = users['issuer'] applicant = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # update offering status share_token.changeOfferingStatus.transact(True, {'from': issuer}) # register personal info of applicant personal_info.register.transact( issuer, "encrypted_message", {'from': applicant} ) # apply for offering share_token.applyForOffering.transact( 10, 'abcdefgh', {'from': applicant} ) # assertion application = share_token.applicationsForOffering(applicant) assert application[0] == 10 assert application[1] == 0 assert application[2] == 'abcdefgh' # Normal_3 # Multiple applications def test_normal_3(self, users, personal_info): issuer = users['issuer'] applicant = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # update offering status share_token.changeOfferingStatus.transact(True, {'from': issuer}) # register personal info of applicant personal_info.register.transact( issuer, "encrypted_message", {'from': applicant} ) # apply for offering (1) share_token.applyForOffering.transact( 10, 'abcdefgh', {'from': applicant} ) # apply for offering (2) share_token.applyForOffering.transact( 20, 'vwxyz', {'from': applicant} ) # assertion application = share_token.applicationsForOffering(applicant) assert application[0] == 20 assert application[1] == 0 assert application[2] == 'vwxyz' ####################################### # Error ####################################### # Error_1 # The offering status must be true. def test_error_1(self, users, personal_info): issuer = users['issuer'] applicant = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # apply for offering with brownie.reverts(): share_token.applyForOffering.transact( 10, 'abcdefgh', {'from': applicant} ) # assertion application = share_token.applicationsForOffering(applicant) assert application[0] == 0 assert application[1] == 0 assert application[2] == '' # Error_2 # Applicant need to register personal information. def test_error_2(self, users, personal_info): issuer = users['issuer'] applicant = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # update offering status share_token.changeOfferingStatus.transact(True, {'from': issuer}) # apply for offering with brownie.reverts(): share_token.applyForOffering.transact( 10, 'abcdefgh', {'from': applicant} ) # assertion application = share_token.applicationsForOffering(applicant) assert application[0] == 0 assert application[1] == 0 assert application[2] == '' # TEST_allot class TestAllot: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, personal_info): issuer = users['issuer'] applicant = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # update offering status share_token.changeOfferingStatus.transact(True, {'from': issuer}) # register personal info of applicant personal_info.register.transact( issuer, "encrypted_message", {'from': applicant} ) # apply for offering share_token.applyForOffering.transact( 10, 'abcdefgh', {'from': applicant} ) # allot share_token.allot.transact( applicant, 5, {'from': issuer} ) # assertion application = share_token.applicationsForOffering(applicant) assert application[0] == 10 assert application[1] == 5 assert application[2] == 'abcdefgh' ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, personal_info): issuer = users['issuer'] applicant = users['user1'] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # update offering status share_token.changeOfferingStatus.transact(True, {'from': issuer}) # allot with brownie.reverts(): share_token.allot.transact(applicant, 5, {'from': applicant}) # assertion application = share_token.applicationsForOffering(applicant) assert application[0] == 0 assert application[1] == 0 assert application[2] == '' # TEST_issueFrom class TestIssueFrom: ####################################### # Normal ####################################### # Normal_1 # Issue from issuer address def test_normal_1(self, users, IbetShare): issuer = users['issuer'] issue_amount = 10 # issue token deploy_args = init_args() deploy_args[3] = 1000 share_token = issuer.deploy(IbetShare, *deploy_args) # issue from issuer address share_token.issueFrom.transact( issuer, brownie.ZERO_ADDRESS, issue_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] + issue_amount assert share_token.balanceOf(issuer) == deploy_args[3] + issue_amount # Normal_2 # Issue from EOA def test_normal_2(self, users, IbetShare): issuer = users['issuer'] issue_amount = 10 # issue token deploy_args = init_args() deploy_args[3] = 1000 share_token = issuer.deploy(IbetShare, *deploy_args) # issue from EOA share_token.issueFrom.transact( brownie.ETH_ADDRESS, brownie.ZERO_ADDRESS, issue_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] + issue_amount assert share_token.balanceOf(issuer) == deploy_args[3] assert share_token.balanceOf(brownie.ETH_ADDRESS) == issue_amount # Normal_3 # Issue from locked address def test_normal_3(self, users, IbetShare): issuer = users['issuer'] lock_address = users['user1'] lock_amount = 10 issue_amount = 10 # issue token deploy_args = init_args() deploy_args[3] = 1000 share_token = issuer.deploy(IbetShare, *deploy_args) # authorize lock address share_token.authorizeLockAddress.transact(lock_address, True, {'from': issuer}) # lock share_token.lock.transact(lock_address, lock_amount, {'from': issuer}) # issue from lock address share_token.issueFrom.transact( issuer, lock_address, issue_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] + issue_amount assert share_token.balanceOf(issuer) == deploy_args[3] - lock_amount assert share_token.lockedOf(lock_address, issuer) == lock_amount + issue_amount ####################################### # Error ####################################### # Error_1_1 # Over the limit # issuer address def test_error_1_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # issue from issuer address with brownie.reverts(): share_token.issueFrom.transact( issuer, brownie.ZERO_ADDRESS, 1, {'from': issuer} ) # Error_1_2 # Over the limit # locked address def test_error_1_2(self, users, IbetShare): issuer = users['issuer'] lock_address = users['user1'] lock_amount = 2 ** 256 - 1 issue_amount = 1 # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # authorize lock address share_token.authorizeLockAddress.transact(lock_address, True, {'from': issuer}) # lock share_token.lock.transact(lock_address, lock_amount, {'from': issuer}) # issue from lock address with brownie.reverts(): share_token.issueFrom.transact( issuer, lock_address, issue_amount, {'from': issuer} ) # assertion assert share_token.balanceOf(issuer) == deploy_args[3] - lock_amount assert share_token.lockedOf(lock_address, issuer) == lock_amount # Error_2 # Not authorized def test_error_2(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # issue from not authorized user with brownie.reverts(): share_token.issueFrom.transact( issuer, brownie.ZERO_ADDRESS, 1, {'from': users['user1']} ) # TEST_redeemFrom class TestRedeemFrom: ####################################### # Normal ####################################### # Normal_1 # Redeem from issuer address def test_normal_1(self, users, IbetShare): issuer = users['issuer'] redeem_amount = 10 # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # redeem share_token.redeemFrom.transact( issuer, brownie.ZERO_ADDRESS, redeem_amount, {'from': issuer} ) # assertion total_supply = share_token.totalSupply() balance = share_token.balanceOf(issuer) assert total_supply == deploy_args[3] - redeem_amount assert balance == deploy_args[3] - redeem_amount # Normal_2 # Redeem from EOA def test_normal_2(self, users, IbetShare): issuer = users['issuer'] user = users['user1'] transfer_amount = 20 redeem_amount = 10 # issue token deploy_args = init_args() deploy_args[3] = 1000 share_token = issuer.deploy(IbetShare, *deploy_args) # transfer to user share_token.transferFrom.transact( issuer, user, transfer_amount, {'from': issuer} ) # redeem share_token.redeemFrom.transact( user, brownie.ZERO_ADDRESS, redeem_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] - redeem_amount assert share_token.balanceOf(issuer) == deploy_args[3] - transfer_amount assert share_token.balanceOf(user) == transfer_amount - redeem_amount # Normal_3 # Redeem from locked address def test_normal_3(self, users, IbetShare): issuer = users['issuer'] lock_address = users['user1'] lock_amount = 20 redeem_amount = 10 # issue token deploy_args = init_args() deploy_args[3] = 1000 share_token = issuer.deploy(IbetShare, *deploy_args) # authorize lock address share_token.authorizeLockAddress.transact( lock_address, True, {'from': issuer} ) # lock share_token.lock.transact( lock_address, lock_amount, {'from': issuer} ) # redeem from lock address share_token.redeemFrom.transact( issuer, lock_address, redeem_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] - redeem_amount assert share_token.balanceOf(issuer) == deploy_args[3] - lock_amount assert share_token.lockedOf(lock_address, issuer) == lock_amount - redeem_amount ####################################### # Error ####################################### # Error_1 # Exceeds balance def test_error_1(self, users, IbetShare): issuer = users['issuer'] redeem_amount = 101 # issue token deploy_args = init_args() deploy_args[3] = 100 share_token = issuer.deploy(IbetShare, *deploy_args) # redeem with brownie.reverts(): share_token.redeemFrom.transact( issuer, brownie.ZERO_ADDRESS, redeem_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] assert share_token.balanceOf(issuer) == deploy_args[3] # Error_2 # Exceeds locked quantity def test_error_2(self, users, IbetShare): issuer = users['issuer'] lock_address = users['user1'] lock_amount = 20 redeem_amount = 21 # issue token deploy_args = init_args() deploy_args[3] = 1000 share_token = issuer.deploy(IbetShare, *deploy_args) # authorize lock address share_token.authorizeLockAddress.transact( lock_address, True, {'from': issuer} ) # lock share_token.lock.transact( lock_address, lock_amount, {'from': issuer} ) # redeem from lock address with brownie.reverts(): share_token.redeemFrom.transact( issuer, lock_address, redeem_amount, {'from': issuer} ) # assertion assert share_token.totalSupply() == deploy_args[3] assert share_token.balanceOf(issuer) == deploy_args[3] - lock_amount assert share_token.lockedOf(lock_address, issuer) == lock_amount # Error_3 # Not authorized def test_error_3(self, users, IbetShare): issuer = users['issuer'] redeem_amount = 100 # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # redeem with brownie.reverts(): share_token.redeemFrom.transact( issuer, brownie.ZERO_ADDRESS, redeem_amount, {'from': users['user1']} ) # assertion assert share_token.totalSupply() == deploy_args[3] assert share_token.balanceOf(issuer) == deploy_args[3] # TEST_applyForTransfer class TestApplyForTransfer: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, personal_info): issuer = users["issuer"] to_address = users["user1"] transfer_amount = 100 transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": to_address} ) # apply for transfer tx = share_token.applyForTransfer( to_address, transfer_amount, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(to_address) == 0 assert share_token.pendingTransfer(issuer) == transfer_amount assert share_token.applicationsForTransfer(0) == ( issuer, to_address, transfer_amount, True ) assert tx.events["ApplyForTransfer"]["index"] == 0 assert tx.events["ApplyForTransfer"]["from"] == issuer assert tx.events["ApplyForTransfer"]["to"] == to_address assert tx.events["ApplyForTransfer"]["value"] == transfer_amount assert tx.events["ApplyForTransfer"]["data"] == transfer_data # Normal_2 # Multiple execution def test_normal_2(self, users, personal_info): issuer = users["issuer"] to_address = users["user1"] transfer_amount = 100 transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": to_address} ) # apply for transfer for i in range(2): share_token.applyForTransfer( to_address, transfer_amount, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount * 2 assert share_token.balances(to_address) == 0 assert share_token.pendingTransfer(issuer) == transfer_amount * 2 for i in range(2): assert share_token.applicationsForTransfer(i) == ( issuer, to_address, transfer_amount, True ) # Normal_3 # Transfer to issuer # No need to register personal information def test_normal_3(self, users, personal_info): issuer = users["issuer"] to_address = issuer transfer_amount = 100 transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # apply for transfer share_token.applyForTransfer( to_address, transfer_amount, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.pendingTransfer(issuer) == transfer_amount assert share_token.applicationsForTransfer(0) == ( issuer, to_address, transfer_amount, True ) ####################################### # Error ####################################### # Error_1 # transferApprovalRequired = false def test_error_1(self, users): issuer = users["issuer"] to_address = users["user1"] transfer_amount = 100 transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=brownie.ZERO_ADDRESS ) # apply for transfer with brownie.reverts(): share_token.applyForTransfer( to_address, transfer_amount, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] assert share_token.balances(to_address) == 0 assert share_token.pendingTransfer(issuer) == 0 # Error_2 # transferable = false def test_error_2(self, users): issuer = users["issuer"] to_address = users["user1"] transfer_amount = 100 transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=brownie.ZERO_ADDRESS ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) share_token.setTransferable( False, {"from": issuer} ) # apply for transfer with brownie.reverts(): share_token.applyForTransfer( to_address, transfer_amount, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] assert share_token.balances(to_address) == 0 assert share_token.pendingTransfer(issuer) == 0 # Error_3 # Insufficient balance def test_error_3(self, users): issuer = users["issuer"] to_address = users["user1"] transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=brownie.ZERO_ADDRESS ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # apply for transfer with brownie.reverts(): share_token.applyForTransfer( to_address, deploy_args[3] + 1, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] assert share_token.balances(to_address) == 0 assert share_token.pendingTransfer(issuer) == 0 # Error_4 # Personal information is not registered def test_error_4(self, users, personal_info): issuer = users["issuer"] to_address = users["user1"] transfer_amount = 100 transfer_data = "test_data" # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # apply for transfer with brownie.reverts(): share_token.applyForTransfer( to_address, transfer_amount, transfer_data, {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] assert share_token.balances(to_address) == 0 assert share_token.pendingTransfer(issuer) == 0 # TEST_cancelTransfer class TestCancelTransfer: ####################################### # Normal ####################################### # Normal_1 # Cancel by applicant def test_normal_1(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] user2 = users["user2"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.transferFrom( issuer, user1, transfer_amount, {"from": issuer} ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user2} ) # apply for transfer share_token.applyForTransfer( user2, transfer_amount, "test_data", {"from": user1} # from user1 to user2 ) # cancel transfer (from applicant) tx = share_token.cancelTransfer( 0, "test_data", {"from": user1} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == transfer_amount assert share_token.pendingTransfer(user1) == 0 assert share_token.applicationsForTransfer(0) == ( user1, user2, transfer_amount, False ) assert tx.events["CancelTransfer"]["index"] == 0 assert tx.events["CancelTransfer"]["from"] == user1 assert tx.events["CancelTransfer"]["to"] == user2 assert tx.events["CancelTransfer"]["data"] == "test_data" # Normal_2 # Cancel by issuer def test_normal_2(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] user2 = users["user2"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.transferFrom( issuer, user1, transfer_amount, {"from": issuer} ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user2} ) # apply for transfer share_token.applyForTransfer( user2, transfer_amount, "test_data", {"from": user1} # from user1 to user2 ) # cancel transfer (from issuer) tx = share_token.cancelTransfer( 0, "test_data", {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == transfer_amount assert share_token.pendingTransfer(user1) == 0 assert share_token.applicationsForTransfer(0) == ( user1, user2, transfer_amount, False ) assert tx.events["CancelTransfer"]["index"] == 0 assert tx.events["CancelTransfer"]["from"] == user1 assert tx.events["CancelTransfer"]["to"] == user2 assert tx.events["CancelTransfer"]["data"] == "test_data" ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] user2 = users["user2"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.transferFrom( issuer, user1, transfer_amount, {"from": issuer} ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user2} ) # apply for transfer share_token.applyForTransfer( user2, transfer_amount, "test_data", {"from": user1} # from user1 to user2 ) # cancel transfer (from issuer) with brownie.reverts(): share_token.cancelTransfer( 0, "test_data", {"from": user2} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == 0 assert share_token.pendingTransfer(user1) == transfer_amount assert share_token.applicationsForTransfer(0) == ( user1, user2, transfer_amount, True ) # Error_2 # Applications that have already been cancelled cannot be cancelled. def test_error_2(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] user2 = users["user2"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.transferFrom( issuer, user1, transfer_amount, {"from": issuer} ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user2} ) # apply for transfer share_token.applyForTransfer( user2, transfer_amount, "test_data", {"from": user1} # from user1 to user2 ) # cancel transfer (1) share_token.cancelTransfer( 0, "test_data", {"from": user1} ) # cancel transfer (2) with brownie.reverts(): share_token.cancelTransfer( 0, "test_data", {"from": user1} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == transfer_amount assert share_token.pendingTransfer(user1) == 0 assert share_token.applicationsForTransfer(0) == ( user1, user2, transfer_amount, False ) # TEST_approveTransfer class TestApproveTransfer: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user1} ) # apply for transfer share_token.applyForTransfer( user1, transfer_amount, "test_data", {"from": issuer} # from issuer to user1 ) # approve transfer tx = share_token.approveTransfer( 0, "test_data", {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == transfer_amount assert share_token.pendingTransfer(issuer) == 0 assert share_token.applicationsForTransfer(0) == ( issuer, user1, transfer_amount, False ) assert tx.events["ApproveTransfer"]["index"] == 0 assert tx.events["ApproveTransfer"]["from"] == issuer assert tx.events["ApproveTransfer"]["to"] == user1 assert tx.events["ApproveTransfer"]["data"] == "test_data" assert tx.events["Transfer"]["from"] == issuer assert tx.events["Transfer"]["to"] == user1 assert tx.events["Transfer"]["value"] == transfer_amount ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user1} ) # apply for transfer share_token.applyForTransfer( user1, transfer_amount, "test_data", {"from": issuer} # from issuer to user1 ) # approve transfer with brownie.reverts(): share_token.approveTransfer( 0, "test_data", {"from": user1} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == 0 assert share_token.pendingTransfer(issuer) == transfer_amount assert share_token.applicationsForTransfer(0) == ( issuer, user1, transfer_amount, True ) # Error_2 # transferable = false def test_error_2(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user1} ) # apply for transfer share_token.applyForTransfer( user1, transfer_amount, "test_data", {"from": issuer} # from issuer to user1 ) # approve transfer share_token.setTransferable( False, {"from": issuer} ) with brownie.reverts(): share_token.approveTransfer( 0, "test_data", {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == 0 assert share_token.pendingTransfer(issuer) == transfer_amount assert share_token.applicationsForTransfer(0) == ( issuer, user1, transfer_amount, True ) # Error_3 # Applications that have already been approved cannot be approved. def test_error_3(self, users, personal_info): issuer = users["issuer"] user1 = users["user1"] transfer_amount = 100 # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) share_token.setTransferApprovalRequired( True, {"from": issuer} ) # register personal information (to_address) personal_info.register( issuer, "encrypted_message", {"from": user1} ) # apply for transfer share_token.applyForTransfer( user1, transfer_amount, "test_data", {"from": issuer} # from issuer to user1 ) # approve transfer (1) share_token.approveTransfer( 0, "test_data", {"from": issuer} ) # approve transfer (2) with brownie.reverts(): share_token.approveTransfer( 0, "test_data", {"from": issuer} ) # assertion assert share_token.balances(issuer) == deploy_args[3] - transfer_amount assert share_token.balances(user1) == transfer_amount assert share_token.pendingTransfer(issuer) == 0 assert share_token.applicationsForTransfer(0) == ( issuer, user1, transfer_amount, False ) # TEST_setTransferApprovalRequired class TestSetTransferApprovalRequired: ####################################### # Normal ####################################### # Normal_1 # Default value def test_normal_1(self, users): issuer = users["issuer"] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=brownie.ZERO_ADDRESS ) # assertion assert share_token.transferApprovalRequired() == False # Normal_2 def test_normal_2(self, users): issuer = users["issuer"] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=brownie.ZERO_ADDRESS ) # update tx = share_token.setTransferApprovalRequired( True, {"from": issuer} ) # assertion assert share_token.transferApprovalRequired() == True assert tx.events["ChangeTransferApprovalRequired"]["required"] == True ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, personal_info): issuer = users["issuer"] # issue token share_token, deploy_args = issue_transferable_share_token( issuer=issuer, exchange_address=brownie.ZERO_ADDRESS, personal_info_address=personal_info.address ) # set required to True with brownie.reverts(): share_token.setTransferApprovalRequired( True, {"from": users["user1"]} ) # assertion assert share_token.transferApprovalRequired() == False # TEST_Cancel class TestCancel: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users["issuer"] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # cancel share_token.changeToCanceled( {"from": issuer} ) # assertion is_canceled = share_token.isCanceled() assert is_canceled is True ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users["issuer"] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # cancel with brownie.reverts(): share_token.changeToCanceled( {"from": users["user1"]} ) # assertion is_canceled = share_token.isCanceled() assert is_canceled is False # TEST_setStatus class TestSetStatus: ####################################### # Normal ####################################### # Normal_1 def test_normal_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # update share_token.setStatus(False, {'from': issuer}) # assertion assert share_token.status() is False ####################################### # Error ####################################### # Error_1 # Not authorized def test_error_1(self, users, IbetShare): issuer = users['issuer'] # issue token deploy_args = init_args() share_token = issuer.deploy(IbetShare, *deploy_args) # change exchange contract with brownie.reverts(): share_token.setStatus(False, {'from': users['user1']})

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ffaae45c5fc330ae7c860fa039b86ec367618bdb

12,122

py

Python

project/server/api/donor.py

tafodinho/transfuzol_api

f8a37e4665c746e6a123b26971ba09066f342296

[ "MIT" ]

null

project/server/api/donor.py

tafodinho/transfuzol_api

f8a37e4665c746e6a123b26971ba09066f342296

[ "MIT" ]

null

project/server/api/donor.py

tafodinho/transfuzol_api

f8a37e4665c746e6a123b26971ba09066f342296

[ "MIT" ]

null

# project/server/auth/views.py from flask import Blueprint, request, make_response, jsonify from flask.views import MethodView from sqlalchemy import inspect import datetime import json from project.server import bcrypt, db from project.server.models.Donor import Donor from project.server.models.User import User donor_blueprint = Blueprint('donors', __name__) RECEIVE_MATCH = { 'O-': ['O-', 'O+', 'B-', 'B+', 'A-', 'A+', 'AB-', 'AB+'], 'O+': ['O+', 'B+', 'A+', 'AB+'], 'B-': ['B-', 'B+', 'AB-', 'AB+'], 'B+': ['B+','AB+'], 'A-': ['B+', 'AB+'], 'A+': ['A+', 'AB+'], 'AB-': ['AB-', 'AB+'], 'AB+': ['AB+'] } class DonorAPI(MethodView): """ Donor resource """ def get(self): # get the auth token print("AUTH", request.headers.get('Authorization')) auth_header = request.headers.get('Authorization') if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: responseObject = { 'status': 'fail', 'message': 'Bearer token malformed.' } return make_response(json.dumps(responseObject, default=str)), 401 else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) if not isinstance(resp, str): donors_arr = [] donors = Donor.query.all() for i in range(len(donors)): donors_arr.append(donors[i]._return_data()) responseObject = { 'status': 'success', 'data': donors_arr } return make_response(json.dumps(responseObject, default=str)), 200 responseObject = { 'status': 'fail', 'message': resp } return make_response(json.dumps(responseObject, default=str)), 401 else: responseObject = { 'status': 'fail', 'message': 'Provide a valid auth token.' } return make_response(json.dumps(responseObject, default=str)), 401 def delete(self): """ delete goes here """ class DonorItemAPI(MethodView): """ Donor Item Resource """ def post(self): """ post an item here """ # check if user already exists auth_header = request.headers.get('Authorization') # get the post data post_data = request.json if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: responseObject = { 'status': 'fail', 'message': 'Bearer token malformed.' } return make_response(json.dumps(responseObject, default=str)), 401 else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) if not isinstance(resp, str): mc = ', '.join([obj['value'] for obj in post_data["medical_conditions"]]) donor = Donor() donor.sn = post_data["sn"] donor.email = post_data["email"] donor.hospital_id = post_data["hospital_id"] donor.first_name = post_data["first_name"] donor.middle_name = post_data["middle_name"] donor.last_name = post_data["last_name"] donor.home_address = post_data["home_address"] donor.city = post_data["city"] donor.region = post_data["region"] donor.phone1 = post_data["phone1"] donor.phone2 = post_data["phone2"] donor.cni = post_data["cni"] donor.cni_doi = post_data["cni_doi"] donor.cni_poi = post_data["cni_poi"] donor.dob = post_data["dob"] donor.pob = post_data["pob"] donor.gender = post_data["gender"] donor.blood_group = post_data["blood_group"] donor.allergies = post_data["allergies"] donor.rhesus_factor = post_data["rhesus_factor"] donor.medical_conditions = mc donor.current_medications = post_data["current_medications"] donor.dolbd = post_data["dolbd"] donor.referrer_id = post_data["referrer_id"] db.session.add(donor) db.session.commit() donor.update_ndefbd() donor.update_status() data = donor._return_data() responseObject = { 'status': 'success', 'data': data } return make_response(json.dumps(responseObject, default=str)), 200 responseObject = { 'status': 'fail', 'message': resp } return make_response(json.dumps(responseObject, default=str)), 401 else: responseObject = { 'status': 'fail', 'message': 'Provide a valid auth token.' } return make_response(json.dumps(responseObject, default=str)), 401 def get(self): """ get an by id """ auth_header = request.headers.get('Authorization') # get the post data post_data = request.get_json() if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: responseObject = { 'status': 'fail', 'message': 'Bearer token malformed.' } return make_response(json.dumps(responseObject, default=str)), 401 else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) if not isinstance(resp, str): donor = Donor().query.filter(Donor.id == post_data['id']).first() if donor: donor_data = donor._return_data() responseObject = { 'status': 'success', 'message': 'donor found', 'data': donor_data } return make_response(json.dumps(responseObject, default=str)), 200 else: responseObject = { 'status': 'fail', 'message': 'donor not found' } return make_response(json.dumps(responseObject, default=str)), 402 responseObject = { 'status': 'fail', 'message': resp } return make_response(json.dumps(responseObject, default=str)), 401 else: responseObject = { 'status': 'fail', 'message': 'Provide a valid auth token.' } return make_response(json.dumps(responseObject, default=str)), 401 def put(self): """ put an item here """ # check if user already exists auth_header = request.headers.get('Authorization') # get the post data post_data = request.json if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: responseObject = { 'status': 'fail', 'message': 'Bearer token malformed.' } return make_response(json.dumps(responseObject, default=str)), 401 else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) if not isinstance(resp, str): donor = Donor.query.filter_by(id=post_data['id']).first() donor.sn = post_data["sn"] donor.email = post_data["email"] donor.hospital_id = post_data["hospital_id"] donor.first_name = post_data["first_name"] donor.middle_name = post_data["middle_name"] donor.last_name = post_data["last_name"] donor.home_address = post_data["home_address"] donor.city = post_data["city"] donor.region = post_data["region"] donor.phone1 = post_data["phone1"] donor.phone2 = post_data["phone2"] donor.cni = post_data["cni"] donor.cni_doi = post_data["cni_doi"] donor.cni_poi = post_data["cni_poi"] donor.dob = post_data["dob"] donor.pob = post_data["pob"] donor.gender = post_data["gender"] donor.blood_group = post_data["blood_group"] donor.allergies = post_data["allergies"] donor.rhesus_factor = post_data["rhesus_factor"] donor.medical_conditions = post_data["medical_conditions"] donor.current_medications = post_data["current_medications"] donor.dolbd = post_data["dolbd"] donor.referrer_id = post_data["referrer_id"] db.session.add(donor) db.session.commit() donor.update_ndefbd() donor.update_status() data = donor._return_data() responseObject = { 'status': 'success', 'data': data } return make_response(json.dumps(responseObject, default=str)), 200 responseObject = { 'status': 'fail', 'message': resp } return make_response(json.dumps(responseObject, default=str)), 401 else: responseObject = { 'status': 'fail', 'message': 'Provide a valid auth token.' } return make_response(json.dumps(responseObject, default=str)), 401 def patch(self): """ update an item here """ def delete(self): """ delete an item here """ # check if user already exists auth_header = request.headers.get('Authorization') # get the post data post_data = request.json if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: responseObject = { 'status': 'fail', 'message': 'Bearer token malformed.' } return make_response(json.dumps(responseObject, default=str)), 401 else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) if not isinstance(resp, str): donor = Donor.query.filter_by(id=post_data['id']).first() db.session.delete(donor) db.session.commit() responseObject = { 'status': 'success', } return make_response(json.dumps(responseObject, default=str)), 200 responseObject = { 'status': 'fail', 'message': resp } return make_response(json.dumps(responseObject, default=str)), 401 else: responseObject = { 'status': 'fail', 'message': 'Provide a valid auth token.' } return make_response(json.dumps(responseObject, default=str)), 401 # define the API resources donors_api = DonorAPI.as_view('donors_api') donor_item_api = DonorItemAPI.as_view('donor_item_api') # add Rules for API Endpoints donor_blueprint.add_url_rule( '/api/donors', view_func=donors_api, methods=['GET', 'DELETE'] ) donor_blueprint.add_url_rule( '/api/donor_item', view_func=donor_item_api, methods=['POST', 'GET', 'PUT', 'PATCH', 'DELETE'] )

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null

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1

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1

0

null

0

7

4403842d00ba0db729e810c11ce2e5d2941a6e07

29

py

Python

tests/test_module/file1.py

lengstrom/fastargs

bf2e0ac826bfb81f7559cd44e956c6a4aad982f1

[ "MIT" ]

20

2021-04-02T06:43:37.000Z

2022-02-16T18:33:10.000Z

tests/test_module/file1.py

lengstrom/fastargs

bf2e0ac826bfb81f7559cd44e956c6a4aad982f1

[ "MIT" ]

16

2021-04-02T05:27:26.000Z

2022-03-07T18:11:11.000Z

tests/test_module/file1.py

lengstrom/fastargs

bf2e0ac826bfb81f7559cd44e956c6a4aad982f1

[ "MIT" ]

1

2021-11-11T03:31:10.000Z

def testme(): return 42

7.25

13

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4

29

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0

0.1

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29

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9.666667

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0

0.5

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null

0

1

0

null

0

1

0

1

0

7

440c098f4e06b4ce54d1e2d36fb5e229e40bf385

83,461

py

Python

tests/unit/operations/test_logsops.py

senstb/aws-elastic-beanstalk-cli

ef27ae50e8be34ccbe29bc6dc421323bddc3f485

[ "Apache-2.0" ]

null

tests/unit/operations/test_logsops.py

senstb/aws-elastic-beanstalk-cli

ef27ae50e8be34ccbe29bc6dc421323bddc3f485

[ "Apache-2.0" ]

null

tests/unit/operations/test_logsops.py

senstb/aws-elastic-beanstalk-cli

ef27ae50e8be34ccbe29bc6dc421323bddc3f485

[ "Apache-2.0" ]

null

# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. import os import shutil import sys import pytest import unittest import mock from ebcli.operations import logsops from ebcli.objects.exceptions import ( InvalidOptionsError, NotFoundError, ServiceError ) from ebcli.resources.statics import logs_operations_constants from tests.unit import mock_logs class TestLogsOperations(unittest.TestCase): app_name = 'MyFooApp' env_name = 'MyFooEnv' instance_id = 'i-123456789' instance_id_alt = 'i-666666666' specified_log_group = '/aws/elasticbeanstalk/{0}/specific/error.log'.format(env_name) def setUp(self): self.root_dir = os.getcwd() if os.path.isdir('testDir'): shutil.rmtree('testDir') os.mkdir('testDir') os.chdir('testDir') def tearDown(self): os.chdir(self.root_dir) shutil.rmtree('testDir') def test_beanstalk_prefix_for_environment(self): self.assertEqual( '/aws/elasticbeanstalk/my_env', logsops.cloudwatch_log_group_prefix_for_environment('my_env') ) def test_beanstalk_log_group_for_environment_health_streaming(self): self.assertEqual( '/aws/elasticbeanstalk/my_env/environment-health.log', logsops.cloudwatch_log_group_for_environment_health_streaming('my_env') ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') def test_cloudwatch_log_stream_names(self, get_all_stream_names_mock): get_all_stream_names_mock.return_value = ['log_stream_1', 'log_stream_2'] self.assertEqual( ['log_stream_1', 'log_stream_2'], logsops.cloudwatch_log_stream_names('some_log_group', 'some_instance_id') ) @mock.patch('ebcli.operations.logsops.io.get_event_streamer') @mock.patch('ebcli.operations.logsops.cloudwatch_log_stream_names') @mock.patch('ebcli.operations.logsops._create_log_stream_for_log_group') @mock.patch('ebcli.operations.logsops._delay_subsequent_stream_creation') @mock.patch('ebcli.operations.logsops._wait_to_poll_cloudwatch') def test_stream_cloudwatch_logs( self, _wait_to_poll_cloudwatch_mock, _delay_subsequent_stream_creation_mock, _create_log_stream_for_log_group_mock, cloudwatch_log_stream_names_mock, get_event_streamer_mock, ): streamer = mock.MagicMock() get_event_streamer_mock.return_value = streamer _wait_to_poll_cloudwatch_mock.side_effect = KeyboardInterrupt _delay_subsequent_stream_creation_mock.return_value = None cloudwatch_log_stream_names_mock.return_value = ['log_group_1', 'log_group_2'] calls = [ mock.call('/aws/elasticbeanstalk/my_environment', 'log_group_1', streamer, 0, None), mock.call('/aws/elasticbeanstalk/my_environment', 'log_group_2', streamer, 0, None), ] try: logsops.stream_instance_logs_from_cloudwatch( sleep_time=0, log_group='/aws/elasticbeanstalk/my_environment', specific_log_stream='i-213123qsdasdad' ) except KeyboardInterrupt: pass _create_log_stream_for_log_group_mock.assert_has_calls(calls, any_order=True) @mock.patch('ebcli.operations.logsops.io.get_event_streamer') @mock.patch('ebcli.operations.logsops.cloudwatch_log_stream_names') @mock.patch('ebcli.operations.logsops._create_log_stream_for_log_group') @mock.patch('ebcli.operations.logsops._delay_subsequent_stream_creation') @mock.patch('ebcli.operations.logsops._wait_to_poll_cloudwatch') @mock.patch('ebcli.operations.logsops._updated_start_time') def test_stream_cloudwatch_logs__multiple_times( self, _updated_start_time_mock, _wait_to_poll_cloudwatch_mock, _delay_subsequent_stream_creation_mock, _create_log_stream_for_log_group_mock, cloudwatch_log_stream_names_mock, get_event_streamer_mock, ): streamer = mock.MagicMock() _updated_start_time_mock.return_value = '1231231231234' get_event_streamer_mock.return_value = streamer _wait_to_poll_cloudwatch_mock.side_effect = [None, KeyboardInterrupt] _delay_subsequent_stream_creation_mock.return_value = None cloudwatch_log_stream_names_mock.return_value = ['log_group_1'] calls = [ mock.call('/aws/elasticbeanstalk/my_environment', 'log_group_1', streamer, 0, None), mock.call('/aws/elasticbeanstalk/my_environment', 'log_group_1', streamer, 0, '1231231231234'), ] try: logsops.stream_instance_logs_from_cloudwatch( sleep_time=0, log_group='/aws/elasticbeanstalk/my_environment', specific_log_stream='i-213123qsdasdad' ) except KeyboardInterrupt: pass _create_log_stream_for_log_group_mock.assert_has_calls(calls, any_order=True) def test_create_log_stream_for_log_group(self): streamer = mock.MagicMock() with mock.patch('ebcli.operations.logsops.stream_single_stream'): for i in range(1, 3): logsops._create_log_stream_for_log_group( '/aws/elasticbeanstalk/my_environment', 'log_group_2', streamer, 0 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__all( self, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, instance_log_streaming_enabled_mock, update_environment_mock ): instance_log_streaming_enabled_mock.return_value = True environment_health_streaming_enabled_mock.return_value = True describe_configuration_settings_mock.side_effect = None logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='all') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'false' }, { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'false' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__all__both_already_disabled( self, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, instance_log_streaming_enabled_mock, update_environment_mock ): environment_health_streaming_enabled_mock.return_value = False instance_log_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='all') update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__all__instance_log_streaming_already_disabled( self, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, instance_log_streaming_enabled_mock, update_environment_mock ): instance_log_streaming_enabled_mock.return_value = False environment_health_streaming_enabled_mock.return_value = True logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='all') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'false' } ], nohang=False, timeout=5 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__instance( self, describe_configuration_settings_mock, instance_log_streaming_enabled, update_environment_mock ): instance_log_streaming_enabled.return_value = True describe_configuration_settings_mock.side_effect = None logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='instance') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'false' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__instance__already_disabled( self, describe_configuration_settings_mock, instance_log_streaming_disable, update_environment_mock ): instance_log_streaming_disable.return_value = False describe_configuration_settings_mock.side_effect = None logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='instance') update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__cloudwatch_log_source_not_specified_by_customer__defaults_to_instance__already_disabled( self, describe_configuration_settings_mock, instance_log_streaming_enabled, update_environment_mock ): instance_log_streaming_enabled.return_value = True logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source=None) update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'false' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__cloudwatch_log_source_not_specified_by_customer__defaults_to_instance__instance_already_disabled( self, describe_configuration_settings_mock, instance_log_streaming_disabled, update_environment_mock ): instance_log_streaming_disabled.return_value = False describe_configuration_settings_mock.side_effect = None logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source=None) update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__environment_health( self, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, update_environment_mock ): environment_health_streaming_enabled_mock.return_value = True logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='environment-health') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'false' } ], nohang=False, timeout=5 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_disable_cloudwatch_logs__environment_health__already_disabled( self, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, update_environment_mock ): environment_health_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None logsops.disable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='environment-health') update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops._echo_link_to_cloudwatch_console') @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') @mock.patch('ebcli.operations.logsops._raise_if_environment_is_not_using_enhanced_health') def test_enable_cloudwatch_logs__all( self, raise_if_environment_is_not_using_enhanced_health_mock, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, instance_log_streaming_enabled_mock, update_environment_mock, _echo_link_to_cloudwatch_console_mock ): environment_health_streaming_enabled_mock.return_value = False instance_log_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None raise_if_environment_is_not_using_enhanced_health_mock.side_effect = None _echo_link_to_cloudwatch_console_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='all') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'true' }, { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'true' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') @mock.patch('ebcli.operations.logsops._raise_if_environment_is_not_using_enhanced_health') def test_enable_cloudwatch_logs__all__already_enabled( self, raise_if_environment_is_not_using_enhanced_health_mock, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, instance_log_streaming_enabled_mock, update_environment_mock ): environment_health_streaming_enabled_mock.return_value = True instance_log_streaming_enabled_mock.return_value = True describe_configuration_settings_mock.side_effect = None raise_if_environment_is_not_using_enhanced_health_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='all') update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops._echo_link_to_cloudwatch_console') @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') @mock.patch('ebcli.operations.logsops._raise_if_environment_is_not_using_enhanced_health') def test_enable_cloudwatch_logs__all__environment_health_streaming_enabled( self, raise_if_environment_is_not_using_enhanced_health_mock, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, instance_log_streaming_enabled_mock, update_environment_mock, _echo_link_to_cloudwatch_console_mock ): environment_health_streaming_enabled_mock.return_value = True instance_log_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None raise_if_environment_is_not_using_enhanced_health_mock.side_effect = None _echo_link_to_cloudwatch_console_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='all') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'true' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') @mock.patch('ebcli.operations.logsops._echo_link_to_cloudwatch_console') def test_enable_cloudwatch_logs__instance( self, _echo_link_to_cloudwatch_console_mock, describe_configuration_settings_mock, instance_log_streaming_enabled_mock, update_environment_mock ): instance_log_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None _echo_link_to_cloudwatch_console_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='instance') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'true' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_enable_cloudwatch_logs__instance__already_enabled( self, describe_configuration_settings_mock, instance_log_streaming_enabled_mock, update_environment_mock ): instance_log_streaming_enabled_mock.return_value = True describe_configuration_settings_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='instance') update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops._echo_link_to_cloudwatch_console') @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_enable_cloudwatch_logs__cloudwatch_log_source_not_specified_by_customer__defaults_to_instance( self, describe_configuration_settings_mock, instance_log_streaming_enabled_mock, update_environment_mock, _echo_link_to_cloudwatch_console_mock ): instance_log_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None _echo_link_to_cloudwatch_console_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source=None) update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'true' } ], nohang=False, timeout=15 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_enable_cloudwatch_logs__cloudwatch_log_source_not_specified_by_customer__defaults_to_instance__already_enabled( self, describe_configuration_settings_mock, instance_log_streaming_enabled_mock, update_environment_mock ): instance_log_streaming_enabled_mock.return_value = True describe_configuration_settings_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source=None) update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops._echo_link_to_cloudwatch_console') @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') @mock.patch('ebcli.operations.logsops._raise_if_environment_is_not_using_enhanced_health') def test_enable_cloudwatch_logs__environment_health( self, raise_if_environment_is_not_using_enhanced_health_mock, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, update_environment_mock, _echo_link_to_cloudwatch_console_mock ): environment_health_streaming_enabled_mock.return_value = False describe_configuration_settings_mock.side_effect = None raise_if_environment_is_not_using_enhanced_health_mock.side_effect = None _echo_link_to_cloudwatch_console_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='environment-health') update_environment_mock.assert_called_once_with( 'MyFooEnv', changes=[ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'true' } ], nohang=False, timeout=5 ) @mock.patch('ebcli.operations.logsops.commonops.update_environment') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') @mock.patch('ebcli.operations.logsops._raise_if_environment_is_not_using_enhanced_health') def test_enable_cloudwatch_logs__environment_health__already_enabled( self, raise_if_environment_is_not_using_enhanced_health_mock, describe_configuration_settings_mock, environment_health_streaming_enabled_mock, update_environment_mock ): environment_health_streaming_enabled_mock.return_value = True describe_configuration_settings_mock.side_effect = None raise_if_environment_is_not_using_enhanced_health_mock.side_effect = None logsops.enable_cloudwatch_logs(self.app_name, self.env_name, cloudwatch_log_source='environment-health') update_environment_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.cloudwatch.get_log_events') def test_get_cloudwatch_stream_logs_for_instance(self, get_log_events_mock): get_log_events_mock.return_value = { 'events': [ { 'timestamp': 1521501601426, 'message': '[2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization] : Starting activity...', 'ingestionTime': 1521501607457 }, { 'timestamp': 1521501601426, 'message': '[2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization/AddonsBefore] : Starting activity...', 'ingestionTime': 1521501607457 } ] } self.assertEqual( '[my_log_stream] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization] : Starting activity...{linesep}' '[my_log_stream] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization/AddonsBefore] : Starting activity...'.format( linesep=os.linesep ), logsops.get_cloudwatch_log_stream_events( 'log_group_name', 'my_log_stream' ) ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_log_events') def test_get_cloudwatch_stream_logs_for_instance__service_error_encountered(self, get_log_events_mock): get_log_events_mock.side_effect = ServiceError self.assertEqual( '', logsops.get_cloudwatch_log_stream_events( 'log_group_name', 'my_log_stream' ) ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_log_events') def test_get_cloudwatch_stream_logs_for_instance__general_exception_encountered(self, get_log_events_mock): get_log_events_mock.side_effect = Exception self.assertEqual( '', logsops.get_cloudwatch_log_stream_events( 'log_group_name', 'my_log_stream' ) ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_log_events') def test_get_logs_cloudwatch_throws_service_error(self, get_log_events_mock): get_log_events_mock.side_effect = ServiceError("Service is throwing an error!") logsops.get_cloudwatch_log_stream_events(self.specified_log_group, self.instance_id_alt) get_log_events_mock.assert_called_with(self.specified_log_group, self.instance_id_alt, limit=None) @mock.patch('ebcli.operations.logsops.cloudwatch.get_log_events') def test_get_logs_cloudwatch_throws_unknown_exception(self, get_log_events_mock): get_log_events_mock.side_effect = Exception("An unknown error appeared!") logsops.get_cloudwatch_log_stream_events(self.specified_log_group, self.instance_id, num_log_events=50) get_log_events_mock.assert_called_with(self.specified_log_group, self.instance_id, limit=50) @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_log_streaming_enabled__config_settings_not_passed_in( self, describe_configuration_settings_mock ): describe_configuration_settings_mock.return_value = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'true' } ] } self.assertTrue( logsops.instance_log_streaming_enabled(self.app_name, self.env_name, None) ) describe_configuration_settings_mock.return_value = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'false' } ] } self.assertFalse( logsops.instance_log_streaming_enabled(self.app_name, self.env_name, None) ) @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_log_streaming_enabled__config_settings_passed_in( self, describe_configuration_settings_mock ): describe_configuration_settings = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'true' } ] } self.assertTrue( logsops.instance_log_streaming_enabled(self.app_name, self.env_name, describe_configuration_settings) ) describe_configuration_settings_mock.assert_not_called() describe_configuration_settings = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs', 'OptionName': 'StreamLogs', 'Value': 'false' } ] } self.assertFalse( logsops.instance_log_streaming_enabled(self.app_name, self.env_name, describe_configuration_settings) ) describe_configuration_settings_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_environment_health_streaming_enabled__config_settings_not_passed_in( self, describe_configuration_settings_mock ): describe_configuration_settings_mock.return_value = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'true' } ] } self.assertTrue( logsops.environment_health_streaming_enabled(self.app_name, self.env_name, None) ) describe_configuration_settings_mock.return_value = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'false' } ] } self.assertFalse( logsops.environment_health_streaming_enabled(self.app_name, self.env_name, None) ) @mock.patch('ebcli.operations.logsops.elasticbeanstalk.describe_configuration_settings') def test_environment_health_streaming_enabled__config_settings_passed_in( self, describe_configuration_settings_mock ): describe_configuration_settings = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'true' } ] } self.assertTrue( logsops.environment_health_streaming_enabled(self.app_name, self.env_name, describe_configuration_settings) ) describe_configuration_settings_mock.assert_not_called() describe_configuration_settings = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:cloudwatch:logs:health', 'OptionName': 'HealthStreamingEnabled', 'Value': 'false' } ] } self.assertFalse( logsops.environment_health_streaming_enabled(self.app_name, self.env_name, describe_configuration_settings) ) describe_configuration_settings_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.elasticbeanstalk') def test_log_streaming_enabled_is_false(self, mock_beanstalk): meaningless_config = "doesn't matter" mock_beanstalk.describe_configuration_settings.return_value = meaningless_config mock_beanstalk.get_specific_configuration.return_value = None self.assertFalse( logsops.instance_log_streaming_enabled(self.app_name, self.env_name), "Expected log streaming to be disabled" ) @mock.patch('ebcli.operations.logsops.beanstalk_log_group_builder') def test_log_group_builder_default( self, beanstalk_log_group_builder_mock ): beanstalk_log_group_builder_mock.return_value = '/aws/elasticbeanstalk/MyFooEnv/var/log/eb-activity.log' actual_log_group = logsops.beanstalk_log_group_builder(self.env_name) self.assertEqual( '/aws/elasticbeanstalk/MyFooEnv/var/log/eb-activity.log', actual_log_group, "Expected log group to be: {0} but got: {1}".format( '/aws/elasticbeanstalk/MyFooEnv/var/log/eb-activity.log', actual_log_group ) ) def test_log_group_builder_with_full_filepath(self): actual_log_group = logsops.beanstalk_log_group_builder(self.env_name, self.specified_log_group) self.assertEqual( self.specified_log_group, actual_log_group, "Expected log group to be: {0} but got: {1}".format( self.specified_log_group, actual_log_group ) ) def test_log_group_builder_with_partial_filepath(self): filepath = 'foo/specific/error.log' actual_log_group = logsops.beanstalk_log_group_builder(self.env_name, filepath) expected_log_group = '/aws/elasticbeanstalk/{0}/{1}'.format(self.env_name, filepath) self.assertEqual( expected_log_group, actual_log_group, "Expected log group to be: {0} but got: {1}".format(expected_log_group, actual_log_group) ) @mock.patch('ebcli.operations.logsops.beanstalk_log_group_builder') def test_normalize_log_group_name__log_group_and_cloudwatch_log_source_not_passed_in_by_customer( self, beanstalk_log_group_builder_mock ): beanstalk_log_group_builder_mock.return_value = '/aws/elasticbeanstalk/MyFooEnv/var/log/eb-activity.log' self.assertEqual( '/aws/elasticbeanstalk/MyFooEnv/var/log/eb-activity.log', logsops.normalize_log_group_name('my_env') ) def test_normalize_log_group_name__log_group_name_passed_in_but_not_cloudwatch_log_source(self): self.assertEqual( '/aws/elasticbeanstalk/my_env/some_log_group', logsops.normalize_log_group_name('my_env', log_group='some_log_group') ) def test_normalize_log_group_name__log_group_name_and_instance_cloudwatch_log_source_arguments_passed_in(self): self.assertEqual( '/aws/elasticbeanstalk/my_env/some_log_group', logsops.normalize_log_group_name( 'my_env', log_group='some_log_group', cloudwatch_log_source='instance' ) ) def test_normalize_log_group_name__log_group_name_and_environment_health_cloudwatch_log_source_arguments_passed_in__log_group_discarded( self ): with self.assertRaises(InvalidOptionsError) as context_manager: logsops.normalize_log_group_name( 'my_env', log_group='some_log_group', cloudwatch_log_source='environment-health' ) self.assertEqual( """You can't use the "--log-group" option when retrieving environment-health logs. These logs are in a specific, implied log group.""", str(context_manager.exception) ) def test_normalize_log_group_name__invalid_cloudwatch_log_source(self): with self.assertRaises(InvalidOptionsError) as context_manager: logsops.normalize_log_group_name('my_env', log_group='some_log_group', cloudwatch_log_source='all') self.assertEqual( """Invalid CloudWatch Logs source type for retrieving logs: "all". Valid types: instance | environment-health""", str(context_manager.exception)) def test_resolve_log_result_type(self): self.assertEqual('bundle', logsops.resolve_log_result_type(True, True)) self.assertEqual('bundle', logsops.resolve_log_result_type(None, True)) self.assertEqual('bundle', logsops.resolve_log_result_type(True, None)) self.assertEqual('tail', logsops.resolve_log_result_type(None, None)) @mock.patch('ebcli.operations.logsops.get_cloudwatch_log_stream_events') @mock.patch('ebcli.operations.logsops.io.echo_with_pager') def test_stream_logs_in_terminal( self, echo_with_pager_mock, get_cloudwatch_stream_logs_for_instance_mock ): log_stream_1_events = """[my_log_stream_1] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization] : Starting activity... [my_log_stream] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization/AddonsBefore] : Starting activity...""" log_stream_2_events = """[my_log_stream_2] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization] : Starting activity... [my_log_stream] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization/AddonsBefore] : Starting activity...""" get_cloudwatch_stream_logs_for_instance_mock.side_effect = [ log_stream_1_events, log_stream_2_events ] logsops.stream_logs_in_terminal('log_group', ['log_stream_1', 'log_stream_2']) echo_with_pager_mock.assert_called_with( '{linesep}{linesep}============= log_stream_1 - log_group =============={linesep}{linesep}' '[my_log_stream_1] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization] : Starting activity...\n' '[my_log_stream] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization/AddonsBefore] : Starting activity...' '{linesep}' '{linesep}============= log_stream_2 - log_group =============={linesep}' '{linesep}' '[my_log_stream_2] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization] : Starting activity...\n' '[my_log_stream] [2018-03-19T23:19:55.811Z] INFO [2810] - [Initialization/AddonsBefore] : Starting activity...'.format( linesep=os.linesep ) ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.stream_logs_in_terminal') def test_retrieve_cloudwatch_logs__tail_instance_logs( self, stream_logs_in_terminal_mock, get_all_stream_names_mock ): get_all_stream_names_mock.return_value = ['log_stream_1', 'log_stream_2'] logsops.retrieve_cloudwatch_logs('some_log_group', 'tail') stream_logs_in_terminal_mock.assert_called_once_with('some_log_group', ['log_stream_1', 'log_stream_2']) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.stream_logs_in_terminal') def test_retrieve_cloudwatch_logs__tail_environment_health_logs( self, stream_logs_in_terminal_mock, get_all_stream_names_mock ): get_all_stream_names_mock.return_value = ['log_stream_1', 'log_stream_2'] logsops.retrieve_cloudwatch_logs( 'some_log_group', 'tail', cloudwatch_log_source=logs_operations_constants.LOG_SOURCES.ENVIRONMENT_HEALTH_LOG_SOURCE ) stream_logs_in_terminal_mock.assert_called_once_with('some_log_group', ['log_stream_1', 'log_stream_2']) @pytest.mark.skipif( getattr(os, 'symlink', None) is None, reason="`os` module does not define `symlink` function for Python 2.7 on Windows" ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.get_cloudwatch_log_stream_events') def test_retrieve_cloudwatch_logs__info_type_bundle( self, get_cloudwatch_log_stream_events_mock, get_all_stream_names_mock ): os.mkdir('.elasticbeanstalk') get_all_stream_names_mock.return_value = ['log_stream_1'] get_cloudwatch_log_stream_events_mock.return_value = 'These are the full logs\\xe2\\x96' logsops.retrieve_cloudwatch_logs('some_log_group', 'bundle') self.assertEqual( 'These are the full logs\\xe2\\x96', open(os.path.join('.elasticbeanstalk', 'logs', 'latest', 'log_stream_1.log')).read() ) @pytest.mark.skipif( getattr(os, 'symlink', None) is None, reason="`os` module does not define `symlink` function for Python 2.7 on Windows" ) @mock.patch('ebcli.operations.logsops._timestamped_directory_name') @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.get_cloudwatch_log_stream_events') def test_retrieve_cloudwatch_logs__info_type_bundle__multiple_retrieves( self, get_cloudwatch_log_stream_events_mock, get_all_stream_names_mock, _timestamped_directory_name_mock ): os.mkdir('.elasticbeanstalk') _timestamped_directory_name_mock.side_effect = [ '180417_175442', '180417_175450' ] get_all_stream_names_mock.return_value = ['log_stream_1'] get_cloudwatch_log_stream_events_mock.return_value = 'These are the full logs\\xe2\\x96' logsops.retrieve_cloudwatch_logs('some_log_group', 'bundle') self.assertEqual( 'These are the full logs\\xe2\\x96', open(os.path.join('.elasticbeanstalk', 'logs', 'latest', 'log_stream_1.log')).read() ) get_all_stream_names_mock.return_value = ['log_stream_2'] get_cloudwatch_log_stream_events_mock.return_value = 'These are also the full logs\\xe2\\x96' logsops.retrieve_cloudwatch_logs('some_log_group', 'bundle') self.assertEqual( 'These are also the full logs\\xe2\\x96', open(os.path.join('.elasticbeanstalk', 'logs', 'latest', 'log_stream_2.log')).read() ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.get_cloudwatch_log_stream_events') def test_retrieve_cloudwatch_logs__info_type_bundle__create_zip( self, get_cloudwatch_log_stream_events_mock, get_all_stream_names_mock ): os.mkdir('.elasticbeanstalk') get_all_stream_names_mock.return_value = ['log_stream_1'] get_cloudwatch_log_stream_events_mock.return_value = 'These are the full logs\\xe2\\x96' logsops.retrieve_cloudwatch_logs('some_log_group', 'bundle', do_zip=True) logs_dir_contents = os.listdir(os.path.join('.elasticbeanstalk', 'logs')) self.assertEqual('.zip', logs_dir_contents[0][-4:]) @pytest.mark.skipif( getattr(os, 'symlink', None) is None, reason="`os` module does not define `symlink` function for Python 2.7 on Windows" ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.get_cloudwatch_log_stream_events') def test_retrieve_cloudwatch_logs__info_type_bundle__environment_health_source( self, get_cloudwatch_log_stream_events_mock, get_all_stream_names_mock ): os.mkdir('.elasticbeanstalk') get_all_stream_names_mock.return_value = ['log_stream_1'] get_cloudwatch_log_stream_events_mock.return_value = 'These are the full logs\\xe2\\x96' logsops.retrieve_cloudwatch_logs( 'some_log_group', 'bundle', cloudwatch_log_source=logs_operations_constants.LOG_SOURCES.ENVIRONMENT_HEALTH_LOG_SOURCE ) self.assertEqual( 'These are the full logs\\xe2\\x96', open(os.path.join('.elasticbeanstalk', 'logs', 'environment-health', 'latest', 'log_stream_1.log')).read() ) @mock.patch('ebcli.operations.logsops.cloudwatch.get_all_stream_names') @mock.patch('ebcli.operations.logsops.get_cloudwatch_log_stream_events') def test_retrieve_cloudwatch_logs__info_type_bundle__environment_health_log_source__create_zip( self, get_cloudwatch_log_stream_events_mock, get_all_stream_names_mock ): os.mkdir('.elasticbeanstalk') get_all_stream_names_mock.return_value = ['log_stream_1'] get_cloudwatch_log_stream_events_mock.return_value = 'These are the full logs\\xe2\\x96' logsops.retrieve_cloudwatch_logs( 'some_log_group', 'bundle', do_zip=True, cloudwatch_log_source=logs_operations_constants.LOG_SOURCES.ENVIRONMENT_HEALTH_LOG_SOURCE ) logs_dir_contents = os.listdir(os.path.join('.elasticbeanstalk', 'logs', 'environment-health')) self.assertEqual('.zip', logs_dir_contents[0][-4:]) @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') def test_raise_if_instance_log_streaming_is_not_enabled__not_enabled__raises_exception( self, instance_log_streaming_enabled_mock ): instance_log_streaming_enabled_mock.return_value = False with self.assertRaises(InvalidOptionsError) as context_manager: logsops.raise_if_instance_log_streaming_is_not_enabled('some-app', 'some-env') self.assertEqual( """Can't retrieve instance logs for environment some-env. Instance log streaming is disabled.""", str(context_manager.exception) ) @mock.patch('ebcli.operations.logsops.instance_log_streaming_enabled') def test_raise_if_instance_log_streaming_is_not_enabled__enabled( self, instance_log_streaming_enabled_mock ): instance_log_streaming_enabled_mock.return_value = True logsops.raise_if_instance_log_streaming_is_not_enabled('some-app', 'some-env') @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') def test_raise_if_environment_health_log_streaming_is_not_enabled__not_enabled__raises_exception( self, environment_health_streaming_enabled_mock ): environment_health_streaming_enabled_mock.return_value = False with self.assertRaises(InvalidOptionsError) as context_manager: logsops.raise_if_environment_health_log_streaming_is_not_enabled('some-app', 'some-env') self.assertEqual( """Can't retrieve environment-health logs for environment some-env. Environment-health log streaming is disabled.""", str(context_manager.exception) ) @mock.patch('ebcli.operations.logsops.environment_health_streaming_enabled') def test_raise_if_environment_health_log_streaming_is_not_enabled__raises_exception( self, environment_health_streaming_enabled_mock ): environment_health_streaming_enabled_mock.return_value = True logsops.raise_if_environment_health_log_streaming_is_not_enabled('some-app', 'some-env') @mock.patch('ebcli.operations.logsops._get_cloudwatch_messages') @mock.patch('ebcli.operations.logsops._wait_to_poll_cloudwatch') def test_get_cloudwatch_logs__simulate_ctrl_c_after_polling_cloudwatch_three_times( self, _wait_to_poll_cloudwatch_mock, _get_cloudwatch_messages_mock ): _wait_to_poll_cloudwatch_mock.return_value = None message_1 = '[my-log-stream-name] b\'I, [2018-03-08T02:35:00.179536+0000#21452] INFO -- Packer: 1520476500,,ui,message, HVM AMI builder: + for TAR_BALL in \\\'"$@"\\\'\'' message_2 = "[my-log-stream-name] b'I, [2018-03-08T02:35:04.381352+0000#21452] INFO -- Packer: 1520476504,,ui,message, HVM AMI builder: \\x1b[K 100% |\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88'" message_3 = '\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88\\xe2\\x96\\x88| 460kB 1.4MB/s' _get_cloudwatch_messages_mock.side_effect = [ ( [message_1], 'f/33907759104553211733662036833768876100389685601243824177', None ), ( [message_2], 'f/12312311231231211733662036833768876100389685601243824177', 1520476504381 ), ( [message_3], 'f/34536456456456456433662036833768876100389685601243824177', 1520476508712 ), KeyboardInterrupt ] streamer = mock.MagicMock() streamer.stream_event = mock.MagicMock() stream_event_calls = [ mock.call(message_1), mock.call(message_2), mock.call(message_3) ] def messages_handler(messages): [streamer.stream_event(message) for message in messages] logsops.get_cloudwatch_messages( log_group_name='some-log-group-name', stream_name='some-log-group-stream-name', formatter=streamer, next_token=None, start_time=None, messages_handler=messages_handler ) streamer.stream_event.assert_has_calls(stream_event_calls) self.assertEqual(3, _wait_to_poll_cloudwatch_mock.call_count) @mock.patch('ebcli.operations.logsops._get_cloudwatch_messages') @mock.patch('ebcli.operations.logsops._wait_to_poll_cloudwatch') def test_get_cloudwatch_logs__exit_with_service_error( self, _wait_to_poll_cloudwatch_mock, _get_cloudwatch_messages_mock ): _wait_to_poll_cloudwatch_mock.return_value = None _get_cloudwatch_messages_mock.side_effect = [ ServiceError('Dummy service error message', code=4) ] streamer = mock.MagicMock() def messages_handler(messages): [streamer.stream_event(message) for message in messages] logsops.get_cloudwatch_messages( log_group_name='some-log-group-name', stream_name='some-log-group-stream-name', formatter=streamer, next_token=None, start_time=None, messages_handler=messages_handler ) self.assertEqual(0, _wait_to_poll_cloudwatch_mock.call_count) @mock.patch('ebcli.operations.logsops._get_cloudwatch_messages') @mock.patch('ebcli.operations.logsops._wait_to_poll_cloudwatch') @mock.patch('ebcli.operations.logsops.LOG.debug') @mock.patch('traceback.format_exc') def test_get_cloudwatch_logs__retries_after_encountering_general_exception( self, traceback_format_exc_mock, LOG_debug_mock, _wait_to_poll_cloudwatch_mock, _get_cloudwatch_messages_mock ): _wait_to_poll_cloudwatch_mock.return_value = None traceback_format_exc_mock.return_value = 'This is a dummy stack trace' _get_cloudwatch_messages_mock.side_effect = [ Exception('This is a general exception'), KeyboardInterrupt ] streamer = mock.MagicMock() def messages_handler(messages): [streamer.stream_event(message) for message in messages] logsops.get_cloudwatch_messages( log_group_name='some-log-group-name', stream_name='some-log-group-stream-name', formatter=streamer, next_token=None, start_time=None, messages_handler=messages_handler ) LOG_debug_mock.assert_has_calls( [ mock.call('Exception raised: This is a general exception'), mock.call('This is a dummy stack trace'), ] ) self.assertEqual(1, _wait_to_poll_cloudwatch_mock.call_count) @mock.patch('ebcli.operations.logsops.cloudwatch.get_log_events') def test__get_cloudwatch_messages(self, get_log_events_mock): get_log_events_mock.return_value = { 'events': [ { 'timestamp': 1520476500179, 'message': 'I, [2018-03-08T02:35:00.179536+0000#21452] INFO -- Packer: 1520476500,,ui,message, HVM AMI builder: + for TAR_BALL in \'"$@"\'', 'ingestionTime': 1520476506246 }, { 'timestamp': 1520476504381, 'message': 'I, [2018-03-08T02:35:04.381352+0000#21452] INFO -- Packer: 1520476504,,ui,message, HVM AMI builder: \\x1b[K 100% |\\xe2\\x96| 460kB 1.4MB/s', 'ingestionTime': 1520476506246 } ], 'nextForwardToken': 'f/33907759104553211733662036833768876100389685601243824177', 'nextBackwardToken': 'b/33907759010845480409436358393035787918721270553114116096', 'ResponseMetadata': { 'RequestId': '51637641-2279-11e8-89e2-977b487bfa41', 'HTTPStatusCode': 200, 'date': 'Thu, 08 Mar 2018 02:35:08 GMT', 'RetryAttempts': 0 } } if sys.version_info < (3, 0): expected_events = [ '[my-log-stream-name] I, [2018-03-08T02:35:00.179536+0000#21452] INFO -- Packer: 1520476500,,ui,message, HVM AMI builder: + for TAR_BALL in \'"$@"\'', '[my-log-stream-name] I, [2018-03-08T02:35:04.381352+0000#21452] INFO -- Packer: 1520476504,,ui,message, HVM AMI builder: \\x1b[K 100% |\\xe2\\x96| 460kB 1.4MB/s' ] else: expected_events = [ '[my-log-stream-name] b\'I, [2018-03-08T02:35:00.179536+0000#21452] INFO -- Packer: 1520476500,,ui,message, HVM AMI builder: + for TAR_BALL in \\\'"$@"\\\'\'', "[my-log-stream-name] b'I, [2018-03-08T02:35:04.381352+0000#21452] INFO -- Packer: 1520476504,,ui,message, HVM AMI builder: \\\\x1b[K 100% |\\\\xe2\\\\x96| 460kB 1.4MB/s'" ] actual_events = logsops._get_cloudwatch_messages( 'my-log-group', 'my-log-stream-name' ) print(actual_events) self.assertEqual( ( expected_events, 'f/33907759104553211733662036833768876100389685601243824177', None ), actual_events ) @mock.patch('ebcli.operations.logsops.elasticbeanstalk.get_environment') def test_deployment_logs_log_group_name__non_windows_platform(self, get_environment_mock): environment_mock = mock.MagicMock() platform_mock = mock.MagicMock() platform_mock.name = 'arn:aws:elasticbeanstalk:ap-southeast-2::platform/PHP 5.4 running on 64bit Amazon Linux 2014.03/1.1.0' environment_mock.platform = platform_mock get_environment_mock.return_value = environment_mock self.assertEqual( '/aws/elasticbeanstalk/my-env/var/log/eb-activity.log', logsops.deployment_logs_log_group_name('my-env') ) @mock.patch('ebcli.operations.logsops.elasticbeanstalk.get_environment') def test_deployment_logs_log_group_name__windows_platform(self, get_environment_mock): environment_mock = mock.MagicMock() platform_mock = mock.MagicMock() platform_mock.name = 'arn:aws:elasticbeanstalk:ap-southeast-2::platform/IIS 10.0 running on 64bit Windows Server Core 2016/1.2.0' environment_mock.platform = platform_mock get_environment_mock.return_value = environment_mock self.assertEqual( '/aws/elasticbeanstalk/my-env/EBDeploy-Log', logsops.deployment_logs_log_group_name('my-env') ) def test_get_platform_builder_group_name(self): self.assertEqual( '/aws/elasticbeanstalk/platform/platform_name', logsops._get_platform_builder_group_name('platform_name') ) def test_raise_if_environment_is_not_using_enhanced_health(self): describe_configuration_settings = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:healthreporting:system', 'OptionName': 'SystemType', 'Value': 'basic' } ] } with self.assertRaises(InvalidOptionsError) as context_manager: logsops._raise_if_environment_is_not_using_enhanced_health(describe_configuration_settings) self.assertEqual( 'Enhanced health disabled. Could not setup health-transitions log streaming.', str(context_manager.exception) ) def test_raise_if_environment_is_using_enhanced_health(self): describe_configuration_settings = { 'OptionSettings': [ { 'Namespace': 'aws:elasticbeanstalk:healthreporting:system', 'OptionName': 'SystemType', 'Value': 'enhanced' } ] } logsops._raise_if_environment_is_not_using_enhanced_health(describe_configuration_settings) @mock.patch('ebcli.operations.logsops.io.echo_with_pager') @mock.patch('ebcli.operations.logsops.utils.get_data_from_url') def test_handle_tail_logs( self, get_data_from_url_mock, echo_with_pager_mock ): get_data_from_url_mock.return_value = mock_logs.INSTANCE_TAIL_LOGS_RESPONSE logsops._handle_tail_logs( { 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd' } ) # six.iteritems does not guarantee order in which key, value pairs of a dict are parsed try: echo_with_pager_mock.assert_called_with( os.linesep.join( [ '============= i-090689581e5afcfc6 =============={linesep}-------------------------------------\n/var/log/awslogs.log\n-------------------------------------\n{\'skipped_events_count\': 0, \'first_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'fallback_events_count\': 0, \'last_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'source_id\': \'77b026040b93055eb448bdc0b59e446f\', \'num_of_events\': 1, \'batch_size_in_bytes\': 243}\n\n\n\n-------------------------------------\n/var/log/httpd/error_log\n-------------------------------------\n[Thu Apr 05 19:54:23.624780 2018] [mpm_prefork:warn] [pid 3470] AH00167: long lost child came home! (pid 3088)\n\n\n\n-------------------------------------\n/var/log/httpd/access_log\n-------------------------------------\n172.31.69.153 (94.208.192.103) - - [05/Apr/2018:20:57:55 +0000] "HEAD /pma/ HTTP/1.1" 404 - "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"\n\n\n\n-------------------------------------\n/var/log/eb-activity.log\n-------------------------------------\n + chown -R webapp:webapp /var/app/ondeck\n[2018-04-05T19:54:21.630Z] INFO [3555] - [Application update app-180406_044630@3/AppDeployStage0/AppDeployPreHook/02_setup_envvars.sh] : Starting activity...\n\n\n-------------------------------------\n/tmp/sample-app.log\n-------------------------------------\n2018-04-05 20:52:51 Received message: \\xe2\\x96\\x88\\xe2\n\n\n\n-------------------------------------\n/var/log/eb-commandprocessor.log\n-------------------------------------\n[2018-04-05T19:45:05.526Z] INFO [2853] : Running 2 of 2 actions: AppDeployPostHook...', '============= i-053efe7c102d0a540 =============={linesep}-------------------------------------\n/var/log/awslogs.log\n-------------------------------------\n{\'skipped_events_count\': 0, \'first_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'fallback_events_count\': 0, \'last_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'source_id\': \'77b026040b93055eb448bdc0b59e446f\', \'num_of_events\': 1, \'batch_size_in_bytes\': 243}\n\n\n\n-------------------------------------\n/var/log/httpd/error_log\n-------------------------------------\n[Thu Apr 05 19:54:23.624780 2018] [mpm_prefork:warn] [pid 3470] AH00167: long lost child came home! (pid 3088)\n\n\n\n-------------------------------------\n/var/log/httpd/access_log\n-------------------------------------\n172.31.69.153 (94.208.192.103) - - [05/Apr/2018:20:57:55 +0000] "HEAD /pma/ HTTP/1.1" 404 - "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"\n\n\n\n-------------------------------------\n/var/log/eb-activity.log\n-------------------------------------\n + chown -R webapp:webapp /var/app/ondeck\n[2018-04-05T19:54:21.630Z] INFO [3555] - [Application update app-180406_044630@3/AppDeployStage0/AppDeployPreHook/02_setup_envvars.sh] : Starting activity...\n\n\n-------------------------------------\n/tmp/sample-app.log\n-------------------------------------\n2018-04-05 20:52:51 Received message: \\xe2\\x96\\x88\\xe2\n\n\n\n-------------------------------------\n/var/log/eb-commandprocessor.log\n-------------------------------------\n[2018-04-05T19:45:05.526Z] INFO [2853] : Running 2 of 2 actions: AppDeployPostHook...', ] ).replace('{linesep}', os.linesep) ) except AssertionError: echo_with_pager_mock.assert_called_with( os.linesep.join( [ '============= i-053efe7c102d0a540 =============={linesep}-------------------------------------\n/var/log/awslogs.log\n-------------------------------------\n{\'skipped_events_count\': 0, \'first_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'fallback_events_count\': 0, \'last_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'source_id\': \'77b026040b93055eb448bdc0b59e446f\', \'num_of_events\': 1, \'batch_size_in_bytes\': 243}\n\n\n\n-------------------------------------\n/var/log/httpd/error_log\n-------------------------------------\n[Thu Apr 05 19:54:23.624780 2018] [mpm_prefork:warn] [pid 3470] AH00167: long lost child came home! (pid 3088)\n\n\n\n-------------------------------------\n/var/log/httpd/access_log\n-------------------------------------\n172.31.69.153 (94.208.192.103) - - [05/Apr/2018:20:57:55 +0000] "HEAD /pma/ HTTP/1.1" 404 - "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"\n\n\n\n-------------------------------------\n/var/log/eb-activity.log\n-------------------------------------\n + chown -R webapp:webapp /var/app/ondeck\n[2018-04-05T19:54:21.630Z] INFO [3555] - [Application update app-180406_044630@3/AppDeployStage0/AppDeployPreHook/02_setup_envvars.sh] : Starting activity...\n\n\n-------------------------------------\n/tmp/sample-app.log\n-------------------------------------\n2018-04-05 20:52:51 Received message: \\xe2\\x96\\x88\\xe2\n\n\n\n-------------------------------------\n/var/log/eb-commandprocessor.log\n-------------------------------------\n[2018-04-05T19:45:05.526Z] INFO [2853] : Running 2 of 2 actions: AppDeployPostHook...', '============= i-090689581e5afcfc6 =============={linesep}-------------------------------------\n/var/log/awslogs.log\n-------------------------------------\n{\'skipped_events_count\': 0, \'first_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'fallback_events_count\': 0, \'last_event\': {\'timestamp\': 1522962583519, \'start_position\': 559799L, \'end_position\': 560017L}, \'source_id\': \'77b026040b93055eb448bdc0b59e446f\', \'num_of_events\': 1, \'batch_size_in_bytes\': 243}\n\n\n\n-------------------------------------\n/var/log/httpd/error_log\n-------------------------------------\n[Thu Apr 05 19:54:23.624780 2018] [mpm_prefork:warn] [pid 3470] AH00167: long lost child came home! (pid 3088)\n\n\n\n-------------------------------------\n/var/log/httpd/access_log\n-------------------------------------\n172.31.69.153 (94.208.192.103) - - [05/Apr/2018:20:57:55 +0000] "HEAD /pma/ HTTP/1.1" 404 - "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"\n\n\n\n-------------------------------------\n/var/log/eb-activity.log\n-------------------------------------\n + chown -R webapp:webapp /var/app/ondeck\n[2018-04-05T19:54:21.630Z] INFO [3555] - [Application update app-180406_044630@3/AppDeployStage0/AppDeployPreHook/02_setup_envvars.sh] : Starting activity...\n\n\n-------------------------------------\n/tmp/sample-app.log\n-------------------------------------\n2018-04-05 20:52:51 Received message: \\xe2\\x96\\x88\\xe2\n\n\n\n-------------------------------------\n/var/log/eb-commandprocessor.log\n-------------------------------------\n[2018-04-05T19:45:05.526Z] INFO [2853] : Running 2 of 2 actions: AppDeployPostHook...', ] ).replace('{linesep}', os.linesep) ) class TestSetupLogs(unittest.TestCase): def setUp(self): self.root_dir = os.getcwd() if os.path.isdir('testDir'): shutil.rmtree('testDir') os.mkdir('testDir') os.chdir('testDir') def tearDown(self): os.chdir(self.root_dir) shutil.rmtree('testDir') @mock.patch('ebcli.operations.logsops.utils.save_file_from_url') @mock.patch('ebcli.operations.logsops.fileoperations.delete_file') @mock.patch('ebcli.operations.logsops.fileoperations.unzip_folder') def test_download_logs_for_all_instances( self, unzip_folder_mock, delete_file_mock, save_file_from_url_mock ): save_file_from_url_mock.return_value = os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'logs.zip') logsops._download_logs_for_all_instances( instance_id_list={ 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd' }, logs_location=os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924') ) unzip_folder_mock.assert_has_calls( [ mock.call( os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'logs.zip'), os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'i-090689581e5afcfc6') ), mock.call( os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'logs.zip'), os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'i-053efe7c102d0a540') ) ], any_order=True ) delete_file_mock.assert_has_calls( [ mock.call( os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'logs.zip') ), mock.call( os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924', 'logs.zip') ) ] ) @mock.patch('ebcli.operations.logsops.fileoperations.delete_directory') @mock.patch('ebcli.operations.logsops.fileoperations.zip_up_folder') @mock.patch('ebcli.operations.logsops.fileoperations.set_user_only_permissions') def test_handle_log_zipping( self, set_user_only_permissions_mock, zip_up_folder_mock, delete_directory_mock ): logsops._handle_log_zipping( logs_location=os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924') ) zip_up_folder_mock.assert_called_once_with( os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924'), os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924.zip') ) delete_directory_mock.assert_called_once_with(os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924')) set_user_only_permissions_mock.assert_called_once_with(os.path.join('testDir', '.elasticbeanstalk', 'logs', '180404_044924.zip')) @mock.patch('ebcli.operations.logsops.fileoperations.set_user_only_permissions') @mock.patch('ebcli.operations.logsops.fileoperations.get_logs_location') @mock.patch('ebcli.operations.logsops._timestamped_directory_name') @mock.patch('ebcli.operations.logsops._download_logs_for_all_instances') @mock.patch('ebcli.operations.logsops._handle_log_zipping') @mock.patch('ebcli.operations.logsops._attempt_update_symlink_to_latest_logs_retrieved') def test_handle_bundle_logs__without_zipping( self, attempt_update_of_symlink_to_latest_logs_mock, handle_log_zipping_mock, download_logs_for_all_instances_mock, _timestamped_directory_name_mock, get_logs_location_mock, set_user_only_permissions_mock ): os.mkdir('.elasticbeanstalk') os.mkdir(os.path.join('.elasticbeanstalk', 'logs')) instance_id_list = { 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd' } logs_location = os.path.join('.elasticbeanstalk', 'logs', '180404_044924') _timestamped_directory_name_mock.return_value = '180404_044924' get_logs_location_mock.return_value = logs_location logsops._handle_bundle_logs(instance_id_list, do_zip=False) get_logs_location_mock.assert_called_with('180404_044924') download_logs_for_all_instances_mock.assert_called_with( instance_id_list, logs_location ) set_user_only_permissions_mock.assert_called_once_with(logs_location) attempt_update_of_symlink_to_latest_logs_mock.assert_called_once_with(logs_location) handle_log_zipping_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.fileoperations.set_user_only_permissions') @mock.patch('ebcli.operations.logsops.fileoperations.get_logs_location') @mock.patch('ebcli.operations.logsops._timestamped_directory_name') @mock.patch('ebcli.operations.logsops._download_logs_for_all_instances') @mock.patch('ebcli.operations.logsops._handle_log_zipping') @mock.patch('ebcli.operations.logsops._attempt_update_symlink_to_latest_logs_retrieved') def test_handle_bundle_logs__with_zipping( self, attempt_update_of_symlink_to_latest_logs_mock, handle_log_zipping_mock, download_logs_for_all_instances_mock, _timestamped_directory_name_mock, get_logs_location_mock, set_user_only_permissions_mock ): os.mkdir('.elasticbeanstalk') os.mkdir(os.path.join('.elasticbeanstalk', 'logs')) instance_id_list = { 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-1231231231234.s3.amazonaws.com/resources/environments/logs/tail/e-spfgk5xbd' } logs_location = os.path.join('.elasticbeanstalk', 'logs', '180404_044924') _timestamped_directory_name_mock.return_value = '180404_044924' get_logs_location_mock.return_value = logs_location logsops._handle_bundle_logs(instance_id_list, do_zip=True) get_logs_location_mock.assert_called_with('180404_044924') download_logs_for_all_instances_mock.assert_called_with( instance_id_list, logs_location ) set_user_only_permissions_mock.assert_called_once_with(logs_location) attempt_update_of_symlink_to_latest_logs_mock.assert_not_called() handle_log_zipping_mock.assert_called_once_with(logs_location) @mock.patch('ebcli.operations.logsops.elasticbeanstalk.retrieve_environment_info') def test_def_get_instance_id_list( self, get_instance_id_list_mock ): get_instance_id_list_mock.return_value = mock_logs.REQUEST_ENVIRONMENT_INFO_RESPONSE print(logsops.get_instance_log_url_mappings('some-env', 'tail')) self.assertEqual( { 'i-024a31a441247971d': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-0dce0f6c5e2d5fa48': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' }, logsops.get_instance_log_url_mappings('some-env', 'tail') ) @mock.patch('ebcli.operations.logsops.get_instance_log_url_mappings') @mock.patch('ebcli.operations.logsops._handle_bundle_logs') @mock.patch('ebcli.operations.logsops._handle_tail_logs') def test_get_logs__tailed_logs( self, handle_tail_logs_mock, handle_bundle_logs_mock, get_instance_id_list_mock ): get_instance_id_list_mock.return_value = { 'i-024a31a441247971d': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-0dce0f6c5e2d5fa48': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' } logsops.get_logs('my-env', 'tail') handle_tail_logs_mock.assert_called_once_with(get_instance_id_list_mock.return_value) handle_bundle_logs_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.get_instance_log_url_mappings') @mock.patch('ebcli.operations.logsops._handle_bundle_logs') @mock.patch('ebcli.operations.logsops._handle_tail_logs') def test_get_logs__bundled_logs( self, handle_tail_logs_mock, handle_bundle_logs_mock, get_instance_id_list_mock ): get_instance_id_list_mock.return_value = { 'i-024a31a441247971d': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-0dce0f6c5e2d5fa48': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' } logsops.get_logs('my-env', 'bundle') handle_tail_logs_mock.assert_not_called() handle_bundle_logs_mock.assert_called_once_with(get_instance_id_list_mock.return_value, False) @mock.patch('ebcli.operations.logsops.get_instance_log_url_mappings') @mock.patch('ebcli.operations.logsops._handle_bundle_logs') @mock.patch('ebcli.operations.logsops._handle_tail_logs') def test_get_logs__tailed_logs__specific_instance( self, handle_tail_logs_mock, handle_bundle_logs_mock, get_instance_id_list_mock ): get_instance_id_list_mock.return_value = { 'i-024a31a441247971d': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-0dce0f6c5e2d5fa48': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' } logsops.get_logs('my-env', 'tail', False, 'i-090689581e5afcfc6') handle_tail_logs_mock.assert_called_once_with( { 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' } ) handle_bundle_logs_mock.assert_not_called() @mock.patch('ebcli.operations.logsops.get_instance_log_url_mappings') @mock.patch('ebcli.operations.logsops._handle_bundle_logs') @mock.patch('ebcli.operations.logsops._handle_tail_logs') def test_get_logs__bundled_logs__specific_instance( self, handle_tail_logs_mock, handle_bundle_logs_mock, get_instance_id_list_mock ): get_instance_id_list_mock.return_value = { 'i-024a31a441247971d': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-0dce0f6c5e2d5fa48': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', 'i-053efe7c102d0a540': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' } logsops.get_logs('my-env', 'bundle', True, 'i-090689581e5afcfc6') handle_tail_logs_mock.assert_not_called() handle_bundle_logs_mock.assert_called_once_with( { 'i-090689581e5afcfc6': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com' }, True ) def test_updated_instance_id_list(self): with self.assertRaises(NotFoundError) as context_manager: logsops._updated_instance_id_list( { 'i-024a31a441247971d': 'https://elasticbeanstalk-us-east-1-123123123123.s3.amazonaws.com', }, 'i-123123a455ef666' ) self.assertEqual( """Can't find instance "i-123123a455ef666" in the environment's instance logs on CloudWatch Logs.""", str(context_manager.exception) ) @mock.patch('ebcli.operations.logsops.cloudwatch.log_group_exists') @mock.patch('ebcli.operations.logsops._wait_to_poll_cloudwatch') def test_wait_for_log_group_to_come_into_existence( self, _wait_to_poll_cloudwatch_mock, log_group_exists_mock ): log_group_exists_mock.side_effect = [ False, False, True ] logsops.wait_for_log_group_to_come_into_existence('my-log-group') _wait_to_poll_cloudwatch_mock.assert_has_calls( [ mock.call(10), mock.call(10) ] ) @mock.patch('ebcli.operations.logsops.wait_for_log_group_to_come_into_existence') @mock.patch('ebcli.operations.logsops.stream_single_stream') def test_stream_platform_logs( self, stream_single_stream_mock, wait_for_log_group_to_come_into_existence ): logsops.stream_platform_logs('my-platform', '1.0.0') stream_single_stream_mock.assert_called_once_with( '/aws/elasticbeanstalk/platform/my-platform', '1.0.0', 4, None, None ) wait_for_log_group_to_come_into_existence.assert_called_once_with( '/aws/elasticbeanstalk/platform/my-platform', 4 )

47.993675

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0.658763

9,220

83,461

5.576681

0.060087

0.047844

0.044382

0.076084

0.901025

0.884999

0.862555

0.849719

0.842251

0.823035

0

0.057094

0.220582

83,461

1,738

1,791

48.021289

0.733317

0.007453

0

0.647333

0

0.024667

0.349824

0.207568

0

0.074

1

0.056

false

0.006667

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0.067333

0.001333

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null

0

1

0

1

0

null

0

7

92390bcadcb6c580d65f08ee56ebc4292e5c71d2

33,638

py

Python

couch/tests/test_database.py

madron/django-couch

21e4c3a0022bdb7cfaff017f72025afbf5220b3b

[ "MIT" ]

null

couch/tests/test_database.py

madron/django-couch

21e4c3a0022bdb7cfaff017f72025afbf5220b3b

[ "MIT" ]

null

couch/tests/test_database.py

madron/django-couch

21e4c3a0022bdb7cfaff017f72025afbf5220b3b

[ "MIT" ]

null

import itertools import warnings from django.test import override_settings from django.test import SimpleTestCase from couch.test import CouchTestCase from .. import Database from .. import documents from .. import exceptions from .. import Server class Book(documents.Document): title = documents.TextField() pages = documents.IntegerField() class Meta: database_name = 'mydb' document_type = 'book' class Author(documents.Document): name = documents.TextField() class Meta: database_name = 'mydb' document_type = 'author' @override_settings(COUCH_SERVERS=dict(default=dict())) class DatabaseNoCouchTest(SimpleTestCase): def test_init_default(self): db = Database('mydb') self.assertEqual(db.name, 'mydb') self.assertEqual(db.server.alias, 'default') self.assertEqual(db.server.protocol, 'http') self.assertEqual(db.server.host, 'localhost') self.assertEqual(db.server.port, 5984) self.assertEqual(db.server.username, None) self.assertEqual(db.server.password, None) @override_settings(COUCH_SERVERS=dict(default=dict(), another=dict(PORT=9999))) def test_init_by_name(self): db = Database('anotherdb', alias='another') self.assertEqual(db.name, 'anotherdb') self.assertEqual(db.server.alias, 'another') self.assertEqual(db.server.protocol, 'http') self.assertEqual(db.server.host, 'localhost') self.assertEqual(db.server.port, 9999) self.assertEqual(db.server.username, None) self.assertEqual(db.server.password, None) def test_init_by_instance(self): db = Database('customdb', server=Server(host='example.com')) self.assertEqual(db.name, 'customdb') self.assertEqual(db.server.alias, 'default') self.assertEqual(db.server.protocol, 'http') self.assertEqual(db.server.host, 'example.com') self.assertEqual(db.server.port, 5984) self.assertEqual(db.server.username, None) self.assertEqual(db.server.password, None) class DatabaseTest(CouchTestCase): def setUp(self): self.server = Server() self.db1 = self.server.create_database('db1') self.db2 = self.server.create_database('db2') self.db1_name = self.db1._get_database_name() self.db2_name = self.db2._get_database_name() def test_database_name(self): self.assertEqual(self.db1._get_database_name(), 't_e_s_t__db1') self.assertEqual(self.db2._get_database_name(), 't_e_s_t__db2') def test_get(self): self.server.put('{}/docid1'.format(self.db1_name), json=dict()) self.server.put('{}/docid2'.format(self.db2_name), json=dict()) # db1 data = self.db1.get('docid1') self.assertEqual(data['_id'], 'docid1') with self.assertRaises(exceptions.CouchError) as context: self.db1.get('docid2') self.assertEqual(context.exception.args[0]['error'], 'not_found') # db2 data = self.db2.get('docid2') self.assertEqual(data['_id'], 'docid2') with self.assertRaises(exceptions.CouchError) as context: self.db2.get('docid1') self.assertEqual(context.exception.args[0]['error'], 'not_found') def test_get_acceptable_status_codes_ok(self): self.server.put('{}/docid'.format(self.db1_name), json=dict()) data = self.db1.get('docid', acceptable_status_codes=[200]) self.assertEqual(data['_id'], 'docid') def test_get_acceptable_status_codes_ko(self): self.server.put('{}/docid'.format(self.db1_name), json=dict()) with self.assertRaises(exceptions.CouchError): self.db1.get('docid', acceptable_status_codes=[202]) def test_put(self): self.db1.put('docid1', json=dict()) self.db2.put('docid2', json=dict()) # db1 data = self.server.get('{}/docid1'.format(self.db1_name)) self.assertEqual(data['_id'], 'docid1') with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid2'.format(self.db1_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') # db2 data = self.server.get('{}/docid2'.format(self.db2_name)) self.assertEqual(data['_id'], 'docid2') with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid1'.format(self.db2_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') def test_put_acceptable_status_codes_ok(self): self.db1.put('docid', json=dict(), acceptable_status_codes=[201]) data = self.server.get('{}/docid'.format(self.db1_name)) self.assertEqual(data['_id'], 'docid') def test_put_acceptable_status_codes_ko(self): with self.assertRaises(exceptions.CouchError): self.db1.put('docid', json=dict(), acceptable_status_codes=[202]) def test_delete(self): data1 = self.db1.put('docid1', json=dict()) data2 = self.db2.put('docid2', json=dict()) # db1 delete = self.db1.delete('docid1?rev={}'.format(data1['rev'])) self.assertEqual(delete['id'], data1['id']) self.assertNotEqual(delete['rev'], data1['rev']) with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid1'.format(self.db1_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid2'.format(self.db1_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') # db2 delete = self.db2.delete('docid2?rev={}'.format(data2['rev'])) self.assertEqual(delete['id'], data2['id']) self.assertNotEqual(delete['rev'], data2['rev']) with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid1'.format(self.db2_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid2'.format(self.db2_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') def test_delete_acceptable_status_codes_ok(self): data = self.db1.put('docid', json=dict()) delete = self.db1.delete('docid?rev={}'.format(data['rev']), acceptable_status_codes=[200]) self.assertEqual(delete['id'], data['id']) self.assertNotEqual(delete['rev'], data['rev']) with self.assertRaises(exceptions.CouchError) as context: self.server.get('{}/docid'.format(self.db1_name)) self.assertEqual(context.exception.args[0]['error'], 'not_found') def test_delete_acceptable_status_codes_ko(self): data = self.db1.put('docid', json=dict()) with self.assertRaises(exceptions.CouchError): self.db1.delete('docid?rev={}'.format(data['rev']), acceptable_status_codes=[202]) class DatabaseListDocumentsTest(CouchTestCase): def test_list_design_documents(self): db = Server().create_database('mydb') db.put('_design/docid', json=dict(views=dict(view=dict(map='function (doc) {\n emit(doc._id, 1);\n}')))) docs = db.list_design_documents() self.assertEqual(docs['total_rows'], 1) self.assertEqual(docs['offset'], 0) row = docs['rows'][0] self.assertEqual(row['id'], '_design/docid') self.assertEqual(row['key'], '_design/docid') self.assertNotEqual(row['value']['rev'], '') class DatabaseViewTest(CouchTestCase): def setUp(self): self.db, created = Server().get_or_create_database('mydb') Book(_id='python_cookbook', title='Python Cookbook', pages=806).save() Book(_id='django_guide', title='The Definitive Guide to Django', pages=536).save() Author(_id='alex', name='Alex Martelli').save() Author(_id='adrian', name='Adrian Holovaty').save() def test_raw_empy_emit(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(); }')))) result = self.db.raw_view('viewdocid', 'view') self.assertEqual(result['offset'], 0) self.assertEqual(result['total_rows'], 4) self.assertEqual(len(result['rows']), 4) self.assertEqual(result['rows'][0], dict(id='adrian', key=None, value=None)) self.assertEqual(result['rows'][1], dict(id='alex', key=None, value=None)) self.assertEqual(result['rows'][2], dict(id='django_guide', key=None, value=None)) self.assertEqual(result['rows'][3], dict(id='python_cookbook', key=None, value=None)) def test_raw_emit_key(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.raw_view('viewdocid', 'view') self.assertEqual(result['offset'], 0) self.assertEqual(result['total_rows'], 4) self.assertEqual(len(result['rows']), 4) self.assertEqual(result['rows'][0], dict(id='adrian', key='adrian', value=None)) self.assertEqual(result['rows'][1], dict(id='alex', key='alex', value=None)) self.assertEqual(result['rows'][2], dict(id='django_guide', key='django_guide', value=None)) self.assertEqual(result['rows'][3], dict(id='python_cookbook', key='python_cookbook', value=None)) def test_raw_emit_key_value(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id, 1); }')))) result = self.db.raw_view('viewdocid', 'view') self.assertEqual(result['offset'], 0) self.assertEqual(result['total_rows'], 4) self.assertEqual(len(result['rows']), 4) self.assertEqual(result['rows'][0], dict(id='adrian', key='adrian', value=1)) self.assertEqual(result['rows'][1], dict(id='alex', key='alex', value=1)) self.assertEqual(result['rows'][2], dict(id='django_guide', key='django_guide', value=1)) self.assertEqual(result['rows'][3], dict(id='python_cookbook', key='python_cookbook', value=1)) def test_raw_limit(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(); }')))) result = self.db.raw_view('viewdocid', 'view', limit=2) self.assertEqual(result['offset'], 0) self.assertEqual(result['total_rows'], 4) self.assertEqual(len(result['rows']), 2) self.assertEqual(result['rows'][0]['id'], 'adrian') self.assertEqual(result['rows'][1]['id'], 'alex') def test_raw_startkey_1(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.raw_view('viewdocid', 'view', startkey='a') self.assertEqual(result['offset'], 0) self.assertEqual(result['total_rows'], 4) def test_raw_startkey_2(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.raw_view('viewdocid', 'view', startkey='b') self.assertEqual(result['offset'], 2) self.assertEqual(result['total_rows'], 4) def test_raw_startkey_3(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.raw_view('viewdocid', 'view', startkey='z') self.assertEqual(result['offset'], 4) self.assertEqual(result['total_rows'], 4) def test_raw_startkey_docid(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.raw_view('viewdocid', 'view', startkey='django_guide', startkey_docid='django_guide') self.assertEqual(result['offset'], 2) self.assertEqual(result['total_rows'], 4) def test_batch_1(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.view('viewdocid', batch_size=1) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 4) self.assertEqual(result[0]['id'], 'adrian') self.assertEqual(result[1]['id'], 'alex') self.assertEqual(result[2]['id'], 'django_guide') self.assertEqual(result[3]['id'], 'python_cookbook') def test_batch_2(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.view('viewdocid', batch_size=2) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 4) self.assertEqual(result[0]['id'], 'adrian') self.assertEqual(result[1]['id'], 'alex') self.assertEqual(result[2]['id'], 'django_guide') self.assertEqual(result[3]['id'], 'python_cookbook') def test_batch_3(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.view('viewdocid', batch_size=10) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 4) self.assertEqual(result[0]['id'], 'adrian') self.assertEqual(result[1]['id'], 'alex') self.assertEqual(result[2]['id'], 'django_guide') self.assertEqual(result[3]['id'], 'python_cookbook') def test_batch_limit(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) result = self.db.view('viewdocid', batch_size=2, limit=3) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 3) self.assertEqual(result[0]['id'], 'adrian') self.assertEqual(result[1]['id'], 'alex') self.assertEqual(result[2]['id'], 'django_guide') def test_batch_ko_limit(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) with self.assertRaises(ValueError) as context: list(self.db.view('viewdocid', limit=0)) self.assertEqual(context.exception.args, ('limit must be greater than 0',)) def test_batch_ko_batch_size(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc._id); }')))) with self.assertRaises(ValueError) as context: list(self.db.view('viewdocid', batch_size=0)) self.assertEqual(context.exception.args, ('batch_size must be greater than 0',)) def test_document_class(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { if(doc.document_type && doc.document_type=="book") { emit(doc._id, doc); }}')))) result = self.db.view('viewdocid', document_class=Book) result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 2) self.assertIsInstance(result[0], Book) self.assertEqual(result[0]._id, 'django_guide') self.assertEqual(result[0].title, 'The Definitive Guide to Django') self.assertEqual(result[0].pages, 536) self.assertNotEqual(result[0]._rev, None) self.assertIsInstance(result[1], Book) self.assertEqual(result[1]._id, 'python_cookbook') self.assertEqual(result[1].title, 'Python Cookbook') self.assertEqual(result[1].pages, 806) self.assertNotEqual(result[1]._rev, None) def test_document_class_type_mismatch(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { if(doc.document_type && doc.document_type=="author") { emit(doc._id, doc); }}')))) with self.assertRaises(exceptions.CouchError) as context: list(self.db.view('viewdocid', document_class=Book)) self.assertEqual(context.exception.args[0], "Type mismatch error: document_type 'book' expected, got 'author'") class DatabaseViewOneTest(CouchTestCase): def setUp(self): self.db, created = Server().get_or_create_database('mydb') Book(_id='python_cookbook', title='Python Cookbook', pages=806).save() Book(_id='django_guide', title='The Definitive Guide to Django', pages=536).save() Author(_id='alex', name='Alex Martelli').save() Author(_id='adrian', name='Adrian Holovaty').save() def test_ok(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { if(doc.title) { emit(doc.title); }}')))) result = self.db.view_one('viewdocid', 'Python Cookbook') self.assertEqual(result['key'], 'Python Cookbook') self.assertEqual(result['id'], 'python_cookbook') self.assertEqual(result['value'], None) def test_document_class(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { if(doc.title) { emit(doc.title, doc); }}')))) result = self.db.view_one('viewdocid', 'Python Cookbook', document_class=Book) self.assertEqual(result.document_type, 'book') self.assertEqual(result._id, 'python_cookbook') self.assertEqual(result.title, 'Python Cookbook') self.assertNotEqual(result._rev, None) def test_document_class_type_mismatch(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { if(doc.title) { emit(doc.title, doc); }}')))) with self.assertRaises(exceptions.CouchError) as context: self.db.view_one('viewdocid', 'Python Cookbook', document_class=Author) self.assertEqual(context.exception.args[0], "Type mismatch error: document_type 'author' expected, got 'book'") def test_not_found(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { if(doc.title) { emit(doc.title, doc); }}')))) with self.assertRaises(exceptions.ObjectDoesNotExist): self.db.view_one('viewdocid', 'wrong') def test_multiple_objects(self): self.db.put('_design/viewdocid', json=dict(views=dict(view=dict(map='function(doc) { emit(doc.document_type, doc); }')))) with self.assertRaises(exceptions.MultipleObjectsReturned): self.db.view_one('viewdocid', 'book') class DatabaseFindTest(CouchTestCase): def setUp(self): self.db, created = Server().get_or_create_database('mydb') Book(_id='python_cookbook', title='Python Cookbook', pages=806).save() Book(_id='django_guide', title='The Definitive Guide to Django', pages=536).save() Author(_id='alex', name='Alex Martelli').save() Author(_id='adrian', name='Adrian Holovaty').save() def test_ok(self): result = self.db.find(selector=dict(pages={'$gt': 700}), warning=False) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 1) self.assertEqual(result[0]['_id'], 'python_cookbook') self.assertEqual(result[0]['document_type'], 'book') self.assertEqual(result[0]['title'], 'Python Cookbook') self.assertEqual(result[0]['pages'], 806) self.assertNotEqual(result[0]['_rev'], None) def test_batch(self): result = self.db.find(selector=dict(), batch_size=2, warning=False) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 4) self.assertEqual(result[0]['_id'], 'adrian') self.assertEqual(result[1]['_id'], 'alex') self.assertEqual(result[2]['_id'], 'django_guide') self.assertEqual(result[3]['_id'], 'python_cookbook') def test_batch_ko_limit(self): with self.assertRaises(ValueError) as context: list(self.db.find(selector=dict(), limit=0)) self.assertEqual(context.exception.args, ('limit must be greater than 0',)) def test_batch_ko_batch_size(self): with self.assertRaises(ValueError) as context: list(self.db.find(selector=dict(), batch_size=0)) self.assertEqual(context.exception.args, ('batch_size must be greater than 0',)) def test_document_class(self): result = self.db.find(selector=dict(document_type='author'), document_class=Author, warning=False) # The result is a generator so we map the first results to a list result = list(itertools.islice(result, 5)) self.assertEqual(len(result), 2) self.assertIsInstance(result[0], Author) self.assertEqual(result[0].document_type, 'author') self.assertEqual(result[0]._id, 'adrian') self.assertEqual(result[0].name, 'Adrian Holovaty') self.assertNotEqual(result[0]._rev, None) self.assertIsInstance(result[1], Author) self.assertEqual(result[1].document_type, 'author') self.assertEqual(result[1]._id, 'alex') self.assertEqual(result[1].name, 'Alex Martelli') self.assertNotEqual(result[1]._rev, None) def test_document_class_type_mismatch(self): result = self.db.find(selector=dict(document_type='author'), document_class=Book, warning=False) with self.assertRaises(exceptions.CouchError) as context: list(itertools.islice(result, 5)) self.assertEqual(context.exception.args[0], "Type mismatch error: document_type 'book' expected, got 'author'") def test_index_warning_true(self): with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") list(self.db.find(selector=dict(document_type='book'), warning=True, batch_size=1)) self.assertEqual(len(warning_list), 1) message = warning_list[0].message.args[0] self.assertIn('no matching index found, create an index to optimize query time', message) self.assertIn("'selector': {'document_type': 'book'}", message) def test_index_warning_false(self): with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") list(self.db.find(selector=dict(document_type='book'), warning=False, batch_size=1)) self.assertEqual(len(warning_list), 0) class DatabaseFindOneTest(CouchTestCase): def setUp(self): self.db, created = Server().get_or_create_database('mydb') Book(_id='python_cookbook', title='Python Cookbook', pages=806).save() Book(_id='django_guide', title='The Definitive Guide to Django', pages=536).save() Author(_id='alex', name='Alex Martelli').save() Author(_id='adrian', name='Adrian Holovaty').save() def test_ok(self): result = self.db.find_one(selector=dict(pages={'$gt': 700}), warning=False) self.assertEqual(result['_id'], 'python_cookbook') self.assertEqual(result['document_type'], 'book') self.assertEqual(result['title'], 'Python Cookbook') self.assertEqual(result['pages'], 806) self.assertNotEqual(result['_rev'], None) def test_document_class(self): result = self.db.find_one(selector=dict(name='Alex Martelli'), document_class=Author, warning=False) self.assertIsInstance(result, Author) self.assertEqual(result.document_type, 'author') self.assertEqual(result._id, 'alex') self.assertEqual(result.name, 'Alex Martelli') self.assertNotEqual(result._rev, None) def test_document_class_type_mismatch(self): with self.assertRaises(exceptions.CouchError) as context: self.db.find_one(selector=dict(name='Alex Martelli'), document_class=Book, warning=False) self.assertEqual(context.exception.args[0], "Type mismatch error: document_type 'book' expected, got 'author'") def test_index_warning_true(self): with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") self.db.find_one(selector=dict(name='Alex Martelli'), warning=True) self.assertEqual(len(warning_list), 1) message = warning_list[0].message.args[0] self.assertIn('no matching index found, create an index to optimize query time', message) self.assertIn("'selector': {'name': 'Alex Martelli'}", message) def test_index_warning_false(self): with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") self.db.find_one(selector=dict(name='Alex Martelli'), warning=False) self.assertEqual(len(warning_list), 0) def test_find_one_got_not_found(self): with self.assertRaises(exceptions.ObjectDoesNotExist): self.db.find_one(selector=dict(name='not found'), warning=False) def test_find_one_got_multiple_objects(self): # from time import sleep # sleep(0.1) with self.assertRaises(exceptions.MultipleObjectsReturned): self.db.find_one(selector=dict(document_type='author'), warning=False) class DatabaseIndexTest(CouchTestCase): def setUp(self): self.db, created = Server().get_or_create_database('mydb') def test_normalize_index(self): index = self.db.normalize_index(dict(fields=['document_type'])) self.assertEqual(index, {'fields': [{'document_type': 'asc'}]}) def test_list_indexes(self): # Create index self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) # List indexes indexes = self.db.list_indexes() self.assertEqual(len(indexes), 2) # _all_docs index = indexes[(None, '_all_docs')] self.assertEqual(index['type'], 'special') self.assertEqual(index['ddoc'], None) self.assertEqual(index['name'], '_all_docs') self.assertEqual(index['def'], dict(fields=[dict(_id='asc')])) # index1 index = indexes[('ddoc1', 'index1')] self.assertEqual(index['type'], 'json') self.assertEqual(index['ddoc'], 'ddoc1') self.assertEqual(index['name'], 'index1') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) def test_list_indexes_filter_ddoc(self): # Create index self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) # List indexes indexes = self.db.list_indexes(ddoc='ddoc1') self.assertEqual(len(indexes), 1) # index1 index = indexes[('ddoc1', 'index1')] self.assertEqual(index['type'], 'json') self.assertEqual(index['ddoc'], 'ddoc1') self.assertEqual(index['name'], 'index1') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) def test_list_indexes_filter_name(self): # Create index self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) # List indexes indexes = self.db.list_indexes(name='_all_docs') self.assertEqual(len(indexes), 1) # _all_docs index = indexes[(None, '_all_docs')] self.assertEqual(index['type'], 'special') self.assertEqual(index['ddoc'], None) self.assertEqual(index['name'], '_all_docs') self.assertEqual(index['def'], dict(fields=[dict(_id='asc')])) def test_list_indexes_filter_ddoc_name(self): # Create index self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) # List indexes indexes = self.db.list_indexes(ddoc='ddoc1', name='index1') self.assertEqual(len(indexes), 1) # index1 index = indexes[('ddoc1', 'index1')] self.assertEqual(index['type'], 'json') self.assertEqual(index['ddoc'], 'ddoc1') self.assertEqual(index['name'], 'index1') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) def test_list_indexes_filter_not_found(self): # Create index self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) # List indexes indexes = self.db.list_indexes(ddoc='wrong', name='index1') self.assertEqual(len(indexes), 0) def test_get_index(self): self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) index = self.db.get_index(ddoc='ddoc1', name='index1') self.assertEqual(index['name'], 'index1') self.assertEqual(index['ddoc'], 'ddoc1') self.assertEqual(index['type'], 'json') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) def test_get_index_not_found(self): self.db.post('_index', json=dict(ddoc='ddoc1', name='index1', index=dict(fields=['document_type']))) index = self.db.get_index(ddoc='wrong', name='index1') self.assertEqual(index, None) def test_create_index(self): data = self.db.create_index(ddoc='ddoc1', name='index1', index=dict(fields=['document_type'])) self.assertEqual(data['result'], 'created') self.assertEqual(data['ddoc'], 'ddoc1') self.assertEqual(data['name'], 'index1') # check index indexes = self.db.get('_index')['indexes'] index = list(filter(lambda i: i['ddoc'] == '_design/ddoc1', indexes))[0] self.assertEqual(index['name'], 'index1') self.assertEqual(index['ddoc'], '_design/ddoc1') self.assertEqual(index['type'], 'json') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) def test_create_index_changed(self): data = self.db.create_index(ddoc='ddoc1', name='index1', index=dict(fields=['document_type'])) self.assertEqual(data['result'], 'created') self.assertEqual(data['ddoc'], 'ddoc1') self.assertEqual(data['name'], 'index1') # check index indexes = self.db.get('_index')['indexes'] index = list(filter(lambda i: i['ddoc'] == '_design/ddoc1', indexes))[0] self.assertEqual(index['name'], 'index1') self.assertEqual(index['ddoc'], '_design/ddoc1') self.assertEqual(index['type'], 'json') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) # Change index data = self.db.create_index(ddoc='ddoc1', name='index1', index=dict(fields=['_id'])) self.assertEqual(data['result'], 'created') self.assertEqual(data['ddoc'], 'ddoc1') self.assertEqual(data['name'], 'index1') # check index indexes = self.db.get('_index')['indexes'] index = list(filter(lambda i: i['ddoc'] == '_design/ddoc1', indexes))[0] self.assertEqual(index['name'], 'index1') self.assertEqual(index['ddoc'], '_design/ddoc1') self.assertEqual(index['type'], 'json') self.assertEqual(index['def'], dict(fields=[dict(_id='asc')], partial_filter_selector=dict())) def test_create_index_unchanged(self): data = self.db.create_index(ddoc='ddoc1', name='index1', index=dict(fields=['document_type'], partial_filter_selector=dict())) self.assertEqual(data['result'], 'created') self.assertEqual(data['ddoc'], 'ddoc1') self.assertEqual(data['name'], 'index1') # check index indexes = self.db.get('_index')['indexes'] index = list(filter(lambda i: i['ddoc'] == '_design/ddoc1', indexes))[0] self.assertEqual(index['name'], 'index1') self.assertEqual(index['ddoc'], '_design/ddoc1') self.assertEqual(index['type'], 'json') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) # Same index data = self.db.create_index(ddoc='ddoc1', name='index1', index=dict(fields=dict(document_type='asc'), partial_filter_selector=dict())) self.assertEqual(data['result'], 'unchanged') self.assertEqual(data['ddoc'], 'ddoc1') self.assertEqual(data['name'], 'index1') # check index indexes = self.db.get('_index')['indexes'] index = list(filter(lambda i: i['ddoc'] == '_design/ddoc1', indexes))[0] self.assertEqual(index['name'], 'index1') self.assertEqual(index['ddoc'], '_design/ddoc1') self.assertEqual(index['type'], 'json') self.assertEqual(index['def'], dict(fields=[dict(document_type='asc')], partial_filter_selector=dict())) def test_delete_index(self): self.db.create_index(ddoc='ddoc1', name='index1', index=dict(fields=['document_type'])) index = self.db.get_index(ddoc='ddoc1', name='index1') self.assertEqual(index['ddoc'], 'ddoc1') self.assertEqual(index['name'], 'index1') # Delete result = self.db.delete_index('ddoc1', 'index1') self.assertEqual(result['ok'], True) index = self.db.get_index(ddoc='ddoc1', name='index1') self.assertEqual(index, None)

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175

0.649979

4,226

33,638

5.038097

0.050402

0.152882

0.07792

0.017566

0.899159

0.858532

0.816589

0.770654

0.754544

0.714339

0

0.014655

0.184523

33,638

660

176

50.966667

0.761511

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false

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null

0

1

0

null

0

1

0

7

924261f6c842c99c2be927500ea03d9452f39f6e

5,658

py

Python

youwol_utils/clients/stories/stories.py

youwol/py-youwol

85a8877e302c9da1aea168bf1d964d19036c1134

[ "MIT" ]

null

youwol_utils/clients/stories/stories.py

youwol/py-youwol

85a8877e302c9da1aea168bf1d964d19036c1134

[ "MIT" ]

1

2022-03-14T09:40:15.000Z

youwol_utils/clients/stories/stories.py

youwol/py-youwol

85a8877e302c9da1aea168bf1d964d19036c1134

[ "MIT" ]

null

from dataclasses import dataclass, field from typing import Dict import aiohttp from youwol_utils.clients.utils import raise_exception_from_response @dataclass(frozen=True) class StoriesClient: url_base: str headers: Dict[str, str] = field(default_factory=lambda: {}) connector = aiohttp.TCPConnector(verify_ssl=False) async def create_story(self, body, **kwargs): url = f"{self.url_base}/stories" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.put(url=url, json=body, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def publish_story(self, data, **kwargs): url = f"{self.url_base}/stories" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.post(url=url, data=data, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def get_story(self, story_id: str, **kwargs): url = f"{self.url_base}/stories/{story_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.get(url=url, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def update_story(self, story_id: str, body, **kwargs): url = f"{self.url_base}/stories/{story_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.post(url=url, json=body, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def delete_story(self, story_id: str, **kwargs): url = f"{self.url_base}/stories/{story_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.delete(url=url, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def get_children(self, story_id: str, parent_document_id: str, from_index=float, count=int, **kwargs): params = { "from-index": from_index, "count": count } url = f"{self.url_base}/stories/{story_id}/documents/{parent_document_id}/children" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.get(url=url, params=params, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def get_content(self, story_id: str, content_id: str, **kwargs): url = f"{self.url_base}/stories/{story_id}/contents/{content_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.get(url=url, **kwargs) as resp: if resp.status == 200: resp = await resp.text(encoding='utf8') return resp await raise_exception_from_response(resp, **kwargs) async def set_content(self, story_id: str, content_id: str, body, **kwargs): url = f"{self.url_base}/stories/{story_id}/contents/{content_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.post(url=url, json=body, **kwargs) as resp: if resp.status == 200: resp = await resp.text() return resp await raise_exception_from_response(resp, **kwargs) async def create_document(self, story_id: str, body, **kwargs): url = f"{self.url_base}/stories/{story_id}/documents" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.put(url=url, json=body, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def delete_document(self, story_id: str, document_id: str, **kwargs): url = f"{self.url_base}/stories/{story_id}/documents/{document_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.delete(url=url, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs) async def update_document(self, story_id: str, document_id: str, body, **kwargs): url = f"{self.url_base}/stories/{story_id}/documents/{document_id}" async with aiohttp.ClientSession(headers=self.headers) as session: async with await session.post(url=url, json=body, **kwargs) as resp: if resp.status == 200: resp = await resp.json() return resp await raise_exception_from_response(resp, **kwargs)

40.414286

112

0.602156

684

5,658

4.843567

0.106725

0.059765

0.065198

0.094174

0.858436

0.854513

0.818292

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5,658

139

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40.705036

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0

null

0

1

0

1

0

null

0

7

924ffff22c32059ed5f1c2e5cd248cf1f1318d1d

1,415

py

Python

gdz/serialisers.py

audiua/shkolyar_django

a2de2dc0a42e6bdd51321f857c0aa1106c51ba80

[ "MIT" ]

1

2017-04-22T11:00:07.000Z

gdz/serialisers.py

audiua/shkolyar_django

a2de2dc0a42e6bdd51321f857c0aa1106c51ba80

[ "MIT" ]

6

2017-04-20T17:49:39.000Z

2017-04-22T11:55:07.000Z

gdz/serialisers.py

audiua/shkolyar_django

a2de2dc0a42e6bdd51321f857c0aa1106c51ba80

[ "MIT" ]

null

from django.core.urlresolvers import reverse from .models import GdzClas, GdzBook, GdzSubject from rest_framework import serializers class GdzClasSerializer(serializers.HyperlinkedModelSerializer): url = serializers.HyperlinkedIdentityField(view_name="gdz_api:gdzclas-detail") class Meta: model = GdzClas fields = ('id', 'title', 'slug', 'create_time', 'update_time', 'description', 'is_promote', 'uri', 'url') class GdzSubjectSerializer(serializers.HyperlinkedModelSerializer): url = serializers.HyperlinkedIdentityField(view_name="gdz_api:gdzsubject-detail") gdz_clas = serializers.HyperlinkedIdentityField(view_name="gdz_api:gdzclas-detail") class Meta: model = GdzSubject fields = ('id', 'title', 'slug', 'create_time', 'update_time', 'description', 'is_promote', 'uri', 'url', 'gdz_clas') class GdzBookSerializer(serializers.HyperlinkedModelSerializer): url = serializers.HyperlinkedIdentityField(view_name="gdz_api:gdzbook-detail") gdz_clas = serializers.HyperlinkedIdentityField(view_name="gdz_api:gdzclas-detail") gdz_subject = serializers.HyperlinkedIdentityField(view_name="gdz_api:gdzsubject-detail") class Meta: model = GdzBook fields = ('id', 'author', 'slug', 'create_time', 'update_time', 'description', 'is_promote', 'uri', 'url', 'gdz_clas', 'gdz_subject')

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0.436992

0

0.162544

1,415

28

94

50.535714

0.83038

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0

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false

0

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null

1

0

1

0

null

0

1

0

7

92b17384927222ff91a45c297f642b1ed6d28333

32,037

py

Python

sdk/iothub/azure-mgmt-iothubprovisioningservices/azure/mgmt/iothubprovisioningservices/operations/dps_certificate_operations.py

iscai-msft/azure-sdk-for-python

83715b95c41e519d5be7f1180195e2fba136fc0f

[ "MIT" ]

8

2021-01-13T23:44:08.000Z

2021-03-17T10:13:36.000Z

sdk/iothub/azure-mgmt-iothubprovisioningservices/azure/mgmt/iothubprovisioningservices/operations/dps_certificate_operations.py

iscai-msft/azure-sdk-for-python

83715b95c41e519d5be7f1180195e2fba136fc0f

[ "MIT" ]

226

2019-07-24T07:57:21.000Z

2019-10-15T01:07:24.000Z

sdk/iothub/azure-mgmt-iothubprovisioningservices/azure/mgmt/iothubprovisioningservices/operations/dps_certificate_operations.py

iscai-msft/azure-sdk-for-python

83715b95c41e519d5be7f1180195e2fba136fc0f

[ "MIT" ]

2

2021-05-23T16:46:31.000Z

2021-05-26T23:51:09.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from .. import models class DpsCertificateOperations(object): """DpsCertificateOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: The version of the API. Constant value: "2018-01-22". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = "2018-01-22" self.config = config def get( self, certificate_name, resource_group_name, provisioning_service_name, if_match=None, custom_headers=None, raw=False, **operation_config): """Get the certificate from the provisioning service. :param certificate_name: Name of the certificate to retrieve. :type certificate_name: str :param resource_group_name: Resource group identifier. :type resource_group_name: str :param provisioning_service_name: Name of the provisioning service the certificate is associated with. :type provisioning_service_name: str :param if_match: ETag of the certificate. :type if_match: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CertificateResponse or ClientRawResponse if raw=true :rtype: ~azure.mgmt.iothubprovisioningservices.models.CertificateResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorDetailsException<azure.mgmt.iothubprovisioningservices.models.ErrorDetailsException>` """ # Construct URL url = self.get.metadata['url'] path_format_arguments = { 'certificateName': self._serialize.url("certificate_name", certificate_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'provisioningServiceName': self._serialize.url("provisioning_service_name", provisioning_service_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorDetailsException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CertificateResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Devices/provisioningServices/{provisioningServiceName}/certificates/{certificateName}'} def create_or_update( self, resource_group_name, provisioning_service_name, certificate_name, if_match=None, certificate=None, custom_headers=None, raw=False, **operation_config): """Upload the certificate to the provisioning service. Add new certificate or update an existing certificate. :param resource_group_name: Resource group identifier. :type resource_group_name: str :param provisioning_service_name: The name of the provisioning service. :type provisioning_service_name: str :param certificate_name: The name of the certificate create or update. :type certificate_name: str :param if_match: ETag of the certificate. This is required to update an existing certificate, and ignored while creating a brand new certificate. :type if_match: str :param certificate: Base-64 representation of the X509 leaf certificate .cer file or just .pem file content. :type certificate: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CertificateResponse or ClientRawResponse if raw=true :rtype: ~azure.mgmt.iothubprovisioningservices.models.CertificateResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorDetailsException<azure.mgmt.iothubprovisioningservices.models.ErrorDetailsException>` """ certificate_description = models.CertificateBodyDescription(certificate=certificate) # Construct URL url = self.create_or_update.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'provisioningServiceName': self._serialize.url("provisioning_service_name", provisioning_service_name, 'str'), 'certificateName': self._serialize.url("certificate_name", certificate_name, 'str', max_length=256) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(certificate_description, 'CertificateBodyDescription') # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorDetailsException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CertificateResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Devices/provisioningServices/{provisioningServiceName}/certificates/{certificateName}'} def delete( self, resource_group_name, if_match, provisioning_service_name, certificate_name, certificatename=None, certificateraw_bytes=None, certificateis_verified=None, certificatepurpose=None, certificatecreated=None, certificatelast_updated=None, certificatehas_private_key=None, certificatenonce=None, custom_headers=None, raw=False, **operation_config): """Delete the Provisioning Service Certificate. Deletes the specified certificate assosciated with the Provisioning Service. :param resource_group_name: Resource group identifier. :type resource_group_name: str :param if_match: ETag of the certificate :type if_match: str :param provisioning_service_name: The name of the provisioning service. :type provisioning_service_name: str :param certificate_name: This is a mandatory field, and is the logical name of the certificate that the provisioning service will access by. :type certificate_name: str :param certificatename: This is optional, and it is the Common Name of the certificate. :type certificatename: str :param certificateraw_bytes: Raw data within the certificate. :type certificateraw_bytes: bytearray :param certificateis_verified: Indicates if certificate has been verified by owner of the private key. :type certificateis_verified: bool :param certificatepurpose: A description that mentions the purpose of the certificate. Possible values include: 'clientAuthentication', 'serverAuthentication' :type certificatepurpose: str or ~azure.mgmt.iothubprovisioningservices.models.CertificatePurpose :param certificatecreated: Time the certificate is created. :type certificatecreated: datetime :param certificatelast_updated: Time the certificate is last updated. :type certificatelast_updated: datetime :param certificatehas_private_key: Indicates if the certificate contains a private key. :type certificatehas_private_key: bool :param certificatenonce: Random number generated to indicate Proof of Possession. :type certificatenonce: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorDetailsException<azure.mgmt.iothubprovisioningservices.models.ErrorDetailsException>` """ # Construct URL url = self.delete.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'provisioningServiceName': self._serialize.url("provisioning_service_name", provisioning_service_name, 'str'), 'certificateName': self._serialize.url("certificate_name", certificate_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if certificatename is not None: query_parameters['certificate.name'] = self._serialize.query("certificatename", certificatename, 'str') if certificateraw_bytes is not None: query_parameters['certificate.rawBytes'] = self._serialize.query("certificateraw_bytes", certificateraw_bytes, 'bytearray') if certificateis_verified is not None: query_parameters['certificate.isVerified'] = self._serialize.query("certificateis_verified", certificateis_verified, 'bool') if certificatepurpose is not None: query_parameters['certificate.purpose'] = self._serialize.query("certificatepurpose", certificatepurpose, 'str') if certificatecreated is not None: query_parameters['certificate.created'] = self._serialize.query("certificatecreated", certificatecreated, 'iso-8601') if certificatelast_updated is not None: query_parameters['certificate.lastUpdated'] = self._serialize.query("certificatelast_updated", certificatelast_updated, 'iso-8601') if certificatehas_private_key is not None: query_parameters['certificate.hasPrivateKey'] = self._serialize.query("certificatehas_private_key", certificatehas_private_key, 'bool') if certificatenonce is not None: query_parameters['certificate.nonce'] = self._serialize.query("certificatenonce", certificatenonce, 'str') query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200, 204]: raise models.ErrorDetailsException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Devices/provisioningServices/{provisioningServiceName}/certificates/{certificateName}'} def list( self, resource_group_name, provisioning_service_name, custom_headers=None, raw=False, **operation_config): """Get all the certificates tied to the provisioning service. :param resource_group_name: Name of resource group. :type resource_group_name: str :param provisioning_service_name: Name of provisioning service to retrieve certificates for. :type provisioning_service_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CertificateListDescription or ClientRawResponse if raw=true :rtype: ~azure.mgmt.iothubprovisioningservices.models.CertificateListDescription or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorDetailsException<azure.mgmt.iothubprovisioningservices.models.ErrorDetailsException>` """ # Construct URL url = self.list.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'provisioningServiceName': self._serialize.url("provisioning_service_name", provisioning_service_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorDetailsException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CertificateListDescription', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized list.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Devices/provisioningServices/{provisioningServiceName}/certificates'} def generate_verification_code( self, certificate_name, if_match, resource_group_name, provisioning_service_name, certificatename=None, certificateraw_bytes=None, certificateis_verified=None, certificatepurpose=None, certificatecreated=None, certificatelast_updated=None, certificatehas_private_key=None, certificatenonce=None, custom_headers=None, raw=False, **operation_config): """Generate verification code for Proof of Possession. :param certificate_name: The mandatory logical name of the certificate, that the provisioning service uses to access. :type certificate_name: str :param if_match: ETag of the certificate. This is required to update an existing certificate, and ignored while creating a brand new certificate. :type if_match: str :param resource_group_name: name of resource group. :type resource_group_name: str :param provisioning_service_name: Name of provisioning service. :type provisioning_service_name: str :param certificatename: Common Name for the certificate. :type certificatename: str :param certificateraw_bytes: Raw data of certificate. :type certificateraw_bytes: bytearray :param certificateis_verified: Indicates if the certificate has been verified by owner of the private key. :type certificateis_verified: bool :param certificatepurpose: Description mentioning the purpose of the certificate. Possible values include: 'clientAuthentication', 'serverAuthentication' :type certificatepurpose: str or ~azure.mgmt.iothubprovisioningservices.models.CertificatePurpose :param certificatecreated: Certificate creation time. :type certificatecreated: datetime :param certificatelast_updated: Certificate last updated time. :type certificatelast_updated: datetime :param certificatehas_private_key: Indicates if the certificate contains private key. :type certificatehas_private_key: bool :param certificatenonce: Random number generated to indicate Proof of Possession. :type certificatenonce: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: VerificationCodeResponse or ClientRawResponse if raw=true :rtype: ~azure.mgmt.iothubprovisioningservices.models.VerificationCodeResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorDetailsException<azure.mgmt.iothubprovisioningservices.models.ErrorDetailsException>` """ # Construct URL url = self.generate_verification_code.metadata['url'] path_format_arguments = { 'certificateName': self._serialize.url("certificate_name", certificate_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'provisioningServiceName': self._serialize.url("provisioning_service_name", provisioning_service_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if certificatename is not None: query_parameters['certificate.name'] = self._serialize.query("certificatename", certificatename, 'str') if certificateraw_bytes is not None: query_parameters['certificate.rawBytes'] = self._serialize.query("certificateraw_bytes", certificateraw_bytes, 'bytearray') if certificateis_verified is not None: query_parameters['certificate.isVerified'] = self._serialize.query("certificateis_verified", certificateis_verified, 'bool') if certificatepurpose is not None: query_parameters['certificate.purpose'] = self._serialize.query("certificatepurpose", certificatepurpose, 'str') if certificatecreated is not None: query_parameters['certificate.created'] = self._serialize.query("certificatecreated", certificatecreated, 'iso-8601') if certificatelast_updated is not None: query_parameters['certificate.lastUpdated'] = self._serialize.query("certificatelast_updated", certificatelast_updated, 'iso-8601') if certificatehas_private_key is not None: query_parameters['certificate.hasPrivateKey'] = self._serialize.query("certificatehas_private_key", certificatehas_private_key, 'bool') if certificatenonce is not None: query_parameters['certificate.nonce'] = self._serialize.query("certificatenonce", certificatenonce, 'str') query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorDetailsException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('VerificationCodeResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized generate_verification_code.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Devices/provisioningServices/{provisioningServiceName}/certificates/{certificateName}/generateVerificationCode'} def verify_certificate( self, certificate_name, if_match, resource_group_name, provisioning_service_name, certificatename=None, certificateraw_bytes=None, certificateis_verified=None, certificatepurpose=None, certificatecreated=None, certificatelast_updated=None, certificatehas_private_key=None, certificatenonce=None, certificate=None, custom_headers=None, raw=False, **operation_config): """Verify certificate's private key possession. Verifies the certificate's private key possession by providing the leaf cert issued by the verifying pre uploaded certificate. :param certificate_name: The mandatory logical name of the certificate, that the provisioning service uses to access. :type certificate_name: str :param if_match: ETag of the certificate. :type if_match: str :param resource_group_name: Resource group name. :type resource_group_name: str :param provisioning_service_name: Provisioning service name. :type provisioning_service_name: str :param certificatename: Common Name for the certificate. :type certificatename: str :param certificateraw_bytes: Raw data of certificate. :type certificateraw_bytes: bytearray :param certificateis_verified: Indicates if the certificate has been verified by owner of the private key. :type certificateis_verified: bool :param certificatepurpose: Describe the purpose of the certificate. Possible values include: 'clientAuthentication', 'serverAuthentication' :type certificatepurpose: str or ~azure.mgmt.iothubprovisioningservices.models.CertificatePurpose :param certificatecreated: Certificate creation time. :type certificatecreated: datetime :param certificatelast_updated: Certificate last updated time. :type certificatelast_updated: datetime :param certificatehas_private_key: Indicates if the certificate contains private key. :type certificatehas_private_key: bool :param certificatenonce: Random number generated to indicate Proof of Possession. :type certificatenonce: str :param certificate: base-64 representation of X509 certificate .cer file or just .pem file content. :type certificate: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CertificateResponse or ClientRawResponse if raw=true :rtype: ~azure.mgmt.iothubprovisioningservices.models.CertificateResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorDetailsException<azure.mgmt.iothubprovisioningservices.models.ErrorDetailsException>` """ request = models.VerificationCodeRequest(certificate=certificate) # Construct URL url = self.verify_certificate.metadata['url'] path_format_arguments = { 'certificateName': self._serialize.url("certificate_name", certificate_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'provisioningServiceName': self._serialize.url("provisioning_service_name", provisioning_service_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if certificatename is not None: query_parameters['certificate.name'] = self._serialize.query("certificatename", certificatename, 'str') if certificateraw_bytes is not None: query_parameters['certificate.rawBytes'] = self._serialize.query("certificateraw_bytes", certificateraw_bytes, 'bytearray') if certificateis_verified is not None: query_parameters['certificate.isVerified'] = self._serialize.query("certificateis_verified", certificateis_verified, 'bool') if certificatepurpose is not None: query_parameters['certificate.purpose'] = self._serialize.query("certificatepurpose", certificatepurpose, 'str') if certificatecreated is not None: query_parameters['certificate.created'] = self._serialize.query("certificatecreated", certificatecreated, 'iso-8601') if certificatelast_updated is not None: query_parameters['certificate.lastUpdated'] = self._serialize.query("certificatelast_updated", certificatelast_updated, 'iso-8601') if certificatehas_private_key is not None: query_parameters['certificate.hasPrivateKey'] = self._serialize.query("certificatehas_private_key", certificatehas_private_key, 'bool') if certificatenonce is not None: query_parameters['certificate.nonce'] = self._serialize.query("certificatenonce", certificatenonce, 'str') query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(request, 'VerificationCodeRequest') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorDetailsException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CertificateResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized verify_certificate.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Devices/provisioningServices/{provisioningServiceName}/certificates/{certificateName}/verify'}

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7

2bde0c94c43c9aa79f99db627285e95051414000

99

py

Python

safe_agents/__init__.py

dmelichar/thesis-poc

c78eb56bd6b43ff51e17c870ba2bba22958a4668

[ "MIT" ]

null

safe_agents/__init__.py

dmelichar/thesis-poc

c78eb56bd6b43ff51e17c870ba2bba22958a4668

[ "MIT" ]

null

safe_agents/__init__.py

dmelichar/thesis-poc

c78eb56bd6b43ff51e17c870ba2bba22958a4668

[ "MIT" ]

null

import safe_agents.envs.lunar import safe_agents.agents from safe_agents.utils import plot_visuals

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920de5b6b22c4c7a91b64358261b5264984b1937

104

py

Python

tests/test_embed.py

thomasballinger/observable-jupyter

d86e3213611c78fb2f5b61a04fb22ea21d0b0904

[ "ISC" ]

22

2021-09-24T17:03:28.000Z

2022-03-22T14:35:31.000Z

tests/test_embed.py

thomasballinger/observable-jupyter

d86e3213611c78fb2f5b61a04fb22ea21d0b0904

[ "ISC" ]

7

2021-09-24T16:24:50.000Z

2021-11-28T21:53:16.000Z

tests/test_embed.py

thomasballinger/observable-jupyter

d86e3213611c78fb2f5b61a04fb22ea21d0b0904

[ "ISC" ]

1

2022-01-26T08:39:55.000Z

from observable_jupyter import embed def test_observable_jupyter_embed(): assert embed is not None

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a60625ede8bbdc74b79a81f7246b6224dca3d2e6

41,455

py

Python

src/neurons_engine/mbuild_modules/starter_shield.py

FFtust/k210_scripts

ef2e9afea4b2344a425c750d1d3bb31e9e389c03

[ "MIT" ]

null

src/neurons_engine/mbuild_modules/starter_shield.py

FFtust/k210_scripts

ef2e9afea4b2344a425c750d1d3bb31e9e389c03

[ "MIT" ]

null

src/neurons_engine/mbuild_modules/starter_shield.py

FFtust/k210_scripts

ef2e9afea4b2344a425c750d1d3bb31e9e389c03

[ "MIT" ]

null

from common import num_range_scale from neurons_engine import neurons_request, neurons_blocking_read, neurons_async_read, neurons_get_block_index import time ############################################################################################################## ######################### car motion API API ################################################################### ############################################################################################################## __MAX_SPEED = 240 # car speed unit: rpm, 300 rmp = 1800°/s __MAX_RUN_TIME = 3600000 # run time, unit: ms, 3600000 ms = 1hour __MAX_ACCEL_TIME = 10000 # accelerate time, unit: ms, 10000 ms = 10s __MAX_DECEL_TIME = 10000 # decelerate time, unit: ms, 10000 ms = 10s __MAX_DISTANCE = 10000 # straight distance, unit: mm, 10000 mm = 10m __MAX_ANGLE = 10000 # wheel turns clockwise angle, unit: mm, 10000 mm = 10m __DEFAULT_SPEED = 50 # car speed unit: rpm, 300 rmp = 1800°/s __DEFAULT_DISTANCE = 100 # straight distance, unit: mm, 10000 mm = 10m __DEFAULT_ANGLE = 360 # wheel turns clockwise angle, unit: degree(°), 360° = 1r __MS_TO_SECOND_FACTOR = 0.001 # millisecond convert to second __MM_TO_MS_FACTOR = 2.921 # factor for default runtime base on distance __DEFAULT_DELAY_COMPENSATION = 0.02 # Time delay compensation def car_spd_mode_forward(speed = __DEFAULT_SPEED, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(speed, (int, float)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return speed = num_range_scale(speed, -__MAX_SPEED, __MAX_SPEED) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_spd_mode_forward", (speed, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR) def car_spd_mode_backward(speed = __DEFAULT_SPEED, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(speed, (int, float)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return speed = num_range_scale(speed, -__MAX_SPEED, __MAX_SPEED) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_spd_mode_backward", (speed, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR) def car_spd_mode_turn_left(speed = __DEFAULT_SPEED, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(speed, (int, float)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return speed = num_range_scale(speed, -__MAX_SPEED, __MAX_SPEED) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_spd_mode_turn_left", (speed, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR) def car_spd_mode_turn_right(speed = __DEFAULT_SPEED, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(speed, (int, float)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return speed = num_range_scale(speed, -__MAX_SPEED, __MAX_SPEED) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_spd_mode_turn_right", (speed, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR) def car_spd_mode_apiece(left_speed = __DEFAULT_SPEED, right_speed = __DEFAULT_SPEED, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(left_speed, (int, float)): return if not isinstance(right_speed, (int, float)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return left_speed = num_range_scale(left_speed, -__MAX_SPEED, __MAX_SPEED) right_speed = num_range_scale(right_speed, -__MAX_SPEED, __MAX_SPEED) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_spd_mode_apiece", (left_speed, right_speed, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR) def car_pos_mode_straight(wheel_angle = __DEFAULT_ANGLE, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(wheel_angle, (int)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return wheel_angle = num_range_scale(wheel_angle, -__MAX_ANGLE, __MAX_ANGLE) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_pos_mode_straight", (wheel_angle, run_time, accel_time, decel_time), device_index) if (run_time == 0): run_time = wheel_angle * __MM_TO_MS_FACTOR + 50 time.sleep(run_time * __MS_TO_SECOND_FACTOR + __DEFAULT_DELAY_COMPENSATION) def car_pos_mode_wheel_clockwise(wheel_angle = __DEFAULT_ANGLE, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(wheel_angle, (int)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return wheel_angle = num_range_scale(wheel_angle, -__MAX_ANGLE, __MAX_ANGLE) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_pos_mode_wheel_clockwise", (wheel_angle, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR + __DEFAULT_DELAY_COMPENSATION) def car_pos_mode_wheel_anticlockwise(angle = __DEFAULT_ANGLE, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if isinstance(angle, (int)): angle = -angle car_pos_mode_wheel_clockwise(angle, run_time, accel_time, decel_time, device_index) def car_stop(decel_time = 1, device_index = 1): if not isinstance(decel_time, (int)): return decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "car_stop", (decel_time), device_index) ############################################################################################################## ######################### car motion API ################################################################## ############################################################################################################## ############################################################################################################## ######################### encoder motor API ############################################################## ############################################################################################################## def encoder_motor_set_power(motor_index, power, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(power, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) power = num_range_scale(power, -100, 100) neurons_request("m_starter_shield", "encoder_motor_set_power", (motor_index, power), device_index) def encoder_motor_set_power_both(power_1, power_2, device_index = 1): if not isinstance(power_1, (int, float)): return if not isinstance(power_2, (int, float)): return if not isinstance(device_index, (int, float)): return power_1 = num_range_scale(power_1, -100, 100) power_2 = num_range_scale(power_2, -100, 100) neurons_request("m_starter_shield", "encoder_motor_set_power_both", (power_1,power_2), device_index) def encoder_motor_set_speed(motor_index, speed, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(speed, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) speed = num_range_scale(speed, -__MAX_SPEED, __MAX_SPEED) neurons_request("m_starter_shield", "encoder_motor_set_speed", (motor_index, speed), device_index) def encoder_motor_set_angle(port = 0, angle = __DEFAULT_ANGLE, run_time = 0, accel_time = 1, decel_time = 1, device_index = 1): if not isinstance(angle, (int)): return if not isinstance(run_time, (int)): return if not isinstance(accel_time, (int)): return if not isinstance(decel_time, (int)): return port = num_range_scale(port, 0, 2) angle = num_range_scale(angle, -__MAX_ANGLE, __MAX_ANGLE) run_time = num_range_scale(run_time, 0, __MAX_RUN_TIME) accel_time = num_range_scale(accel_time, 0, __MAX_ACCEL_TIME) decel_time = num_range_scale(decel_time, 0, __MAX_DECEL_TIME) neurons_request("m_starter_shield", "encoder_motor_set_angle", (port, angle, run_time, accel_time, decel_time), device_index) time.sleep(run_time * __MS_TO_SECOND_FACTOR + __DEFAULT_DELAY_COMPENSATION) def encoder_motor_release(motor_index = 1, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) neurons_request("m_starter_shield", "encoder_motor_release",(motor_index), device_index) def encoder_motor_stop(motor_index = 1, device_index = 1): encoder_motor_release(motor_index, device_index) def encoder_motor_lock(motor_index = 1, lock_state = 0, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(lock_state, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) lock_state = num_range_scale(lock_state, 0, 1) neurons_request("m_starter_shield", "encoder_motor_lock",(motor_index, lock_state), device_index) def encoder_motor_lock_power(motor_index = 1, lock_power = 30, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(lock_power, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) lock_power = num_range_scale(lock_power, 0, 127) neurons_request("m_starter_shield", "encoder_motor_lock_power",(motor_index, lock_power), device_index) def encoder_motor_reset_position(motor_index, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) neurons_request("m_starter_shield", "encoder_motor_reset_position", (motor_index), device_index) def encoder_motor_get_positon(motor_index = 1, device_index = 1): if not isinstance(motor_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if motor_index not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "encoder_motor_get_positon", (motor_index), device_index) if ret: return ret[1] else: return 0 def encoder_motor_get_speed(motor_index = 1, device_index = 1): if not isinstance(motor_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if motor_index not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "encoder_motor_get_speed", (motor_index), device_index) if ret: return ret[1] else: return 0 def encoder_motor_get_power(motor_index = 1, device_index = 1): if not isinstance(motor_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if motor_index not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "encoder_motor_get_power", (motor_index), device_index) if ret: return ret[1] else: return 0 ############################################################################################################## ######################### encoder motor API ############################################################## ############################################################################################################## ############################################################################################################## ######################### DC motor API ################################################################### ############################################################################################################## def dc_motor_set_power(motor_index, power, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(power, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) power = num_range_scale(power, -100, 100) neurons_request("m_starter_shield", "dc_motor_set_power", (motor_index, power), device_index) def dc_motor_set_power_both(power_1, power_2, device_index = 1): if not isinstance(power_1, (int, float)): return if not isinstance(power_2, (int, float)): return if not isinstance(device_index, (int, float)): return power_1 = num_range_scale(power_1, -100, 100) power_2 = num_range_scale(power_2, -100, 100) neurons_request("m_starter_shield", "dc_motor_set_power_both", (power_1,power_2), device_index) def dc_motor_change_power(motor_index, power, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(power, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) power = num_range_scale(power, -200, 200) neurons_request("m_starter_shield", "dc_motor_change_power", (motor_index, power), device_index) def dc_motor_stop(motor_index = 1, device_index = 1): if not isinstance(motor_index, (int, float)): return if not isinstance(device_index, (int, float)): return motor_index = num_range_scale(motor_index, 0, 127) power = 0 neurons_request("m_starter_shield", "dc_motor_stop",(motor_index), device_index) def dc_motor_get_power(motor_index = 1, device_index = 1): if not isinstance(motor_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if motor_index not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "dc_motor_get_power", (motor_index), device_index) if ret: return ret[1] else: return 0 ############################################################################################################## ######################### DC motor API ################################################################### ############################################################################################################## ############################################################################################################## ######################### AC servo API ################################################################### ############################################################################################################## __INQUIRE_REPORT_MODE = 0x00 __CHANGE_REPORT_MODE = 0x01 __PERIOD_REPORT_MODE = 0x02 def servo_set_angle(servo_index, angle, device_index = 1): if not isinstance(servo_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(angle, (int, float)): return servo_index = num_range_scale(servo_index, 0, 127) angle = num_range_scale(angle, 0, 180) neurons_request("m_starter_shield", "servo_set_angle", (servo_index, angle), device_index) def servo_set_angle_all(angle_1, angle_2, angle_3, angle_4, device_index = 1): if not isinstance(device_index, (int, float)): return if not isinstance(angle_1, (int, float)): return if not isinstance(angle_2, (int, float)): return if not isinstance(angle_3, (int, float)): return if not isinstance(angle_4, (int, float)): return angle_1 = num_range_scale(angle_1, 0, 180) angle_2 = num_range_scale(angle_2, 0, 180) angle_3 = num_range_scale(angle_3, 0, 180) angle_4 = num_range_scale(angle_4, 0, 180) neurons_request("m_starter_shield", "servo_set_angle_all", (angle_1, angle_2, angle_3, angle_4), device_index) def servo_change_angle(servo_index, angle, device_index = 1): if not isinstance(servo_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(angle, (int, float)): return servo_index = num_range_scale(servo_index, 0, 127) angle = num_range_scale(angle, -180, 180) neurons_request("m_starter_shield", "servo_change_angle", (servo_index, angle), device_index) def servo_change_angle_all(angle_1, angle_2, angle_3, angle_4, device_index = 1): if not isinstance(device_index, (int, float)): return if not isinstance(angle_1, (int, float)): return if not isinstance(angle_2, (int, float)): return if not isinstance(angle_3, (int, float)): return if not isinstance(angle_4, (int, float)): return angle_1 = num_range_scale(angle_1, -180, 180) angle_2 = num_range_scale(angle_2, -180, 180) angle_3 = num_range_scale(angle_3, -180, 180) angle_4 = num_range_scale(angle_4, -180, 180) neurons_request("m_starter_shield", "servo_change_angle_all", (angle_1, angle_2, angle_3, angle_4), device_index) def servo_release(servo_index = 1, device_index = 1): if not isinstance(servo_index, (int, float)): return if not isinstance(device_index, (int, float)): return servo_index = num_range_scale(servo_index, 0, 127) neurons_request("m_starter_shield", "servo_release", (servo_index), device_index) def servo_set_pulse_width(servo_index, pulse_width, device_index = 1): if not isinstance(servo_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(pulse_width, (int, float)): return servo_index = num_range_scale(servo_index, 0, 127) pulse_width = num_range_scale(pulse_width, 0, 16383) neurons_request("m_starter_shield", "servo_set_pulse_width", (servo_index, pulse_width), device_index) def servo_get_angle(servo_index = 1, device_index = 1): if not isinstance(servo_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if servo_index not in [1, 2, 3, 4]: return -1 value = neurons_blocking_read("m_starter_shield", "servo_get_angle", (servo_index), device_index) if value != None: return value[1] else: return 0 def servo_get_angle_all(device_index = 1): if not isinstance(device_index, (int, float)): return -1 value = neurons_blocking_read("m_starter_shield", "servo_get_angle_all", (), device_index) if value != None: return value else: return [0,0,0,0] def servo_get_load(servo_index = 1, device_index = 1): if not isinstance(servo_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if servo_index not in [1, 2]: return -1 value = neurons_blocking_read("m_starter_shield", "servo_get_load", (servo_index), device_index) if value != None: return value[0] else: return 0 def servo_reset(servo_index = 1, device_index = 1): if not isinstance(servo_index, (int, float)): return if not isinstance(device_index, (int, float)): return neurons_request("m_starter_shield", "servo_reset", (servo_index), device_index) def servo_set_report_mode(servo_index, mode, timestamp, device_index = 1): if not isinstance(servo_index, (int, float)): return if not isinstance(timestamp, (int, float)): return timestamp = num_range_scale(timestamp, 10, None) if mode == __INQUIRE_REPORT_MODE or mode == __CHANGE_REPORT_MODE or mode == __PERIOD_REPORT_MODE: neurons_request("m_starter_shield", "servo_set_report_mode", (servo_index, mode, timestamp), device_index) else: return ############################################################################################################## ######################### AC servo API ################################################################### ############################################################################################################## ############################################################################################################## ######################### LED strip API ################################################################### ############################################################################################################## def led_strip_set_single(strip_index, led_index, red_value, green_value, blue_value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(led_index, (int, float)): return if not isinstance(red_value, (int, float)): return if not isinstance(green_value, (int, float)): return if not isinstance(blue_value, (int, float)): return if not isinstance(device_index, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) led_index = num_range_scale(led_index, 0, 127) red_value = num_range_scale(red_value, 0, 255) green_value = num_range_scale(green_value, 0, 255) blue_value = num_range_scale(blue_value, 0, 255) neurons_request("m_starter_shield", "led_strip_set_single", (strip_index, led_index, red_value, green_value, blue_value), device_index) def led_strip_set_all(strip_index, red_value, green_value, blue_value, device_index = 1): led_strip_set_single(strip_index, 00, red_value, green_value, blue_value, device_index) def led_strip_off_all(strip_index, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) neurons_request("m_starter_shield", "led_strip_off_all", (strip_index), device_index) def led_strip_set_red(strip_index, led_index, value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not (isinstance(led_index, (int, float)) or (led_index == "all")): return if not isinstance(value, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) if led_index == "all": led_index = 0 else: led_index = num_range_scale(led_index, 0, 127) value = num_range_scale(value, 0, 255) neurons_request("m_starter_shield", "led_strip_set_red", (strip_index, led_index, value), device_index) def led_strip_set_green(strip_index, led_index, value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not (isinstance(led_index, (int, float)) or (led_index == "all")): return if not isinstance(value, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) if led_index == "all": led_index = 0 else: led_index = num_range_scale(led_index, 0, 127) value = num_range_scale(value, 0, 255) neurons_request("m_starter_shield", "led_strip_set_green", (strip_index, led_index, value), device_index) def led_strip_set_blue(strip_index, led_index, value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not (isinstance(led_index, (int, float)) or (led_index == "all")): return if not isinstance(value, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) if led_index == "all": led_index = 0 else: led_index = num_range_scale(led_index, 0, 127) value = num_range_scale(value, 0, 255) neurons_request("m_starter_shield", "led_strip_set_blue", (strip_index, led_index, value), device_index) def led_strip_change_red(strip_index, led_index, value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not (isinstance(led_index, (int, float)) or (led_index == "all")): return if not isinstance(value, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) if led_index == "all": led_index = 0 else: led_index = num_range_scale(led_index, 0, 127) value = num_range_scale(value, -255, 255) neurons_request("m_starter_shield", "led_strip_change_red", (strip_index, led_index, value), device_index) def led_strip_change_green(strip_index, led_index, value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not (isinstance(led_index, (int, float)) or (led_index == "all")): return if not isinstance(value, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) if led_index == "all": led_index = 0 else: led_index = num_range_scale(led_index, 0, 127) value = num_range_scale(value, -255, 255) neurons_request("m_starter_shield", "led_strip_change_green", (strip_index, led_index, value), device_index) def led_strip_change_blue(strip_index, led_index, value, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not (isinstance(led_index, (int, float)) or (led_index == "all")): return if not isinstance(value, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) if led_index == "all": led_index = 0 else: led_index = num_range_scale(led_index, 0, 127) value = num_range_scale(value, -255, 255) neurons_request("m_starter_shield", "led_strip_change_blue", (strip_index, led_index, value), device_index) def led_strip_set_mode(strip_index, mode, device_index =1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(mode, (str,)): return strip_index = num_range_scale(strip_index, 0, 127) if mode == "static": mode = 0x00 elif mode == "marquee": mode = 0x03 elif mode == "breathe": mode = 0x04 else: return neurons_request("m_starter_shield", "led_strip_set_mode", (strip_index, mode), device_index) def led_strip_set_block(strip_index, led_num, data, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(led_num, (int, float)): return if not isinstance(data, (list, tuple)): return strip_index = num_range_scale(strip_index, 0, 127) list_data = list() if led_num <= 0: return elif led_num < len(data): list_data.extend(data[0 : led_num]) else: list_data.extend(data) neurons_request("m_starter_shield", "led_strip_set_block", (strip_index, list_data), device_index) def led_strip_set_brightness(strip_index = 1, brightness = 30, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(brightness, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) brightness = num_range_scale(brightness, 0, 100) neurons_request("m_starter_shield", "led_strip_set_brightness", (strip_index, brightness), device_index) def led_strip_change_brightness(strip_index = 1, brightness = 50, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(brightness, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) brightness = num_range_scale(brightness, -100, 100) neurons_request("m_starter_shield", "led_strip_change_brightness", (strip_index, brightness), device_index) def led_strip_get_brightness(strip_index = 1, device_index = 1): if not isinstance(strip_index, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if strip_index not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "led_strip_get_brightness", (strip_index), device_index) if ret: return ret[1] else: return -1 def led_strip_set_move(strip_index = 1, move_step = 1, move_cycle = 1, device_index = 1): ## led_move(step, cycle, port) if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(move_step, (int, float)): return if not isinstance(move_cycle, (int, float)): return strip_index = num_range_scale(strip_index, 0, 127) move_step = num_range_scale(move_step, -128, 127) move_cycle = num_range_scale(move_cycle, 0, 127) neurons_request("m_starter_shield", "led_strip_set_move", (strip_index, move_step,move_cycle), device_index) ''' def led_strip_set_effect(strip_index, mode, speed, data, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(speed, (int, float)): return if not isinstance(data, (list, tuple)): return if mode == "static" or mode == "steady": mode = 0x00 elif mode == "marquee": mode = 0x03 elif mode == "breathe": mode = 0x04 else: return speed = num_range_scale(speed, 0, 8) list_data = list() list_data.append(speed) list_data.extend(data) neurons_request("m_starter_shield", "led_strip_set_mode", (strip_index, mode), device_index) neurons_request("m_starter_shield", "led_strip_set_block", (strip_index, data), device_index) def led_strip_show(strip_index, color, device_index = 1): if not isinstance(strip_index, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(color, (list, tuple)): return for i in range(len(color)): if isinstance(color[i], str) and (color[i] in mbuild_color_table): color[i] = mbuild_color_table[color[i]] elif isinstance(color[i], (int, float)): pass else: color[i] = 0 neurons_request("m_starter_shield", "led_strip_set_block", (strip_index, color), device_index) ''' ############################################################################################################## ######################### LED strip API ################################################################### ############################################################################################################## ############################################################################################################## ######################### power management API ############################################################ ############################################################################################################## def power_get_battery_voltag(device_index = 1): if not isinstance(device_index, (int, float)): return 0 ret = neurons_blocking_read("m_starter_shield", "power_get_battery_voltag", (), device_index) if ret: return ret[0] else: return 0 def power_set_battery_voltag_mode(mode, period, device_index = 1): if not isinstance(device_index, (int, float)): return 0 if not isinstance(mode, (int, float)): return 0 if not isinstance(period, (int, float)): return 0 neurons_request("m_starter_shield", "power_set_battery_voltag_mode", (mode, period), device_index) def power_get_usb_state(device_index = 1): if not isinstance(device_index, (int, float)): return 0 ret = neurons_blocking_read("m_starter_shield", "power_get_usb_state", (), device_index) if ret: return ret[0] else: return 0 def power_set_usb_state_mode(mode, period, device_index = 1): if not isinstance(device_index, (int, float)): return 0 if not isinstance(mode, (int, float)): return 0 if not isinstance(period, (int, float)): return 0 neurons_request("m_starter_shield", "power_set_usb_state_mode", (mode, period), device_index) def power_get_switch_state(device_index = 1): if not isinstance(device_index, (int, float)): return 0 ret = neurons_blocking_read("m_starter_shield", "power_get_switch_state", (), device_index) if ret: return ret[0] else: return 0 def power_set_switch_state_mode(mode, period, device_index = 1): if not isinstance(device_index, (int, float)): return 0 if not isinstance(mode, (int, float)): return 0 if not isinstance(period, (int, float)): return 0 neurons_request("m_starter_shield", "power_set_switch_state_mode", (mode, period), device_index) def power_get_charge_state(device_index = 1): if not isinstance(device_index, (int, float)): return 0 ret = neurons_blocking_read("m_starter_shield", "power_get_charge_state", (), device_index) if ret: return ret[0] else: return 0 def power_set_charge_state_mode(mode, period, device_index = 1): if not isinstance(device_index, (int, float)): return 0 if not isinstance(mode, (int, float)): return 0 if not isinstance(period, (int, float)): return 0 neurons_request("m_starter_shield", "power_set_charge_state_mode", (mode, period), device_index) def power_get_battery_level(device_index = 1): if not isinstance(device_index, (int, float)): return 0 ret = neurons_blocking_read("m_starter_shield", "power_get_battery_level", (), device_index) if ret: return ret[0] else: return 0 def power_set_battery_level_mode(mode, period, device_index = 1): if not isinstance(device_index, (int, float)): return 0 if not isinstance(mode, (int, float)): return 0 if not isinstance(period, (int, float)): return 0 neurons_request("m_starter_shield", "power_set_battery_level_mode", (mode, period), device_index) def power_get_power_all_state(device_index = 1): if not isinstance(device_index, (int, float)): return 0 ret = neurons_blocking_read("m_starter_shield", "power_get_power_all_state", (), device_index) if ret: return ret else: return 0 def power_set_power_all_state_mode(mode, period, device_index = 1): if not isinstance(device_index, (int, float)): return 0 if not isinstance(mode, (int, float)): return 0 if not isinstance(period, (int, float)): return 0 neurons_request("m_starter_shield", "power_set_power_all_state_mode", (mode, period), device_index) def power_respond_power_all_state(device_index = 1): if not isinstance(device_index, (int, float)): return False ret = neurons_async_read("m_starter_shield", "power_get_power_all_state", (), device_index) if ret: return ret else: return False ############################################################################################################## ######################### power management API ############################################################ ############################################################################################################## ############################################################################################################## ######################### multifunction port API ########################################################## ############################################################################################################## def multifunction_digital_write(port, value, device_index =1): if not isinstance(port, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(value, (int, float)): return port = num_range_scale(port, 0, 127) value = num_range_scale(value, 0, 1) neurons_request("m_starter_shield", "multifunction_digital_write", (port, value), device_index) def multifunction_digital_read(port, device_index =1): if not isinstance(port, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if port not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "multifunction_digital_read", (port), device_index) if ret: return ret[1] else: return -1 def multifunction_analog_read(port, device_index =1): if not isinstance(port, (int, float)): return -1 if not isinstance(device_index, (int, float)): return -1 if port not in [1, 2]: return -1 ret = neurons_blocking_read("m_starter_shield", "multifunction_analog_read", (port), device_index) if ret: return ret[1] else: return -1 def multifunction_pwm_set(port, duty, frequency, device_index =1): if not isinstance(port, (int, float)): return if not isinstance(device_index, (int, float)): return if not isinstance(duty, (int, float)): return if not isinstance(frequency, (int, float)): return port = num_range_scale(port, 0, 127) duty = num_range_scale(duty, 0, 100) frequency = num_range_scale(frequency, 0, 2000) neurons_request("m_starter_shield", "multifunction_pwm_set", (port, duty, frequency), device_index) ############################################################################################################## ######################### multifunction port API ########################################################## ##############################################################################################################

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0.036057

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0.127488

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0.915485

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0.865444

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0.804735

0.762586

0

0.023931

0.202653

41,455

1,016

150

40.802165

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null

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1

0

1

0

null

0

7

a685213c4c54d14d92b3365d02fdca203076981e

154

py

Python

dev/app/admin.py

johncmacy/excel-tracker-to-django

12e65dc92f4f18b64f43442f61a38fa0b2e8ce95

[ "MIT" ]

null

dev/app/admin.py

johncmacy/excel-tracker-to-django

12e65dc92f4f18b64f43442f61a38fa0b2e8ce95

[ "MIT" ]

3

2021-09-20T12:48:15.000Z

2021-10-01T15:43:51.000Z

dev/app/admin.py

johncmacy/excel-tracker-to-django

12e65dc92f4f18b64f43442f61a38fa0b2e8ce95

[ "MIT" ]

null

# Created by django-from-excel at 2021-09-20 08:24:05.503356 from django.contrib import admin from .models import * admin.site.register(ConvertedModel)

154

0.785714

25

154

4.84

0.8

0.181818

0

0.147059

0.116883

154

1

154

0.742647

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null

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1

0

1

0

1

0

7

471093040caa7381082a19feeb7dcdd8d00814df

118

py

Python

tests/_base2.py

garywu/pipedream

d89a4031d5ee78c05c6845341607a59528f0bd75

[ "BSD-3-Clause" ]

8

2018-02-21T04:13:25.000Z

2020-04-24T20:05:47.000Z

tests/_base2.py

garywu/pipedream

d89a4031d5ee78c05c6845341607a59528f0bd75

[ "BSD-3-Clause" ]

1

2019-05-13T13:14:32.000Z

tests/_base2.py

garywu/pypedream

d89a4031d5ee78c05c6845341607a59528f0bd75

[ "BSD-3-Clause" ]

null

import unittest_rand_gen_state class RandStateSaverBase(object): __metaclass__ = unittest_rand_gen_state.Saver

16.857143

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0.838983

14

118

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0.449438

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118

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1

0

null

0

1

0

1

0

7

5b30b8b09b5f58be39d2655f4b7e3bcc5d3125c3

197

py

Python

TCConfig/fields/__init__.py

nightfire2/BiomeEdit

e009eb5ecdca063abfbb1a708495176ac5f7defc

[ "FSFAP" ]

1

2016-02-08T16:10:53.000Z

TCConfig/fields/__init__.py

nightfire2/BiomeEdit

e009eb5ecdca063abfbb1a708495176ac5f7defc

[ "FSFAP" ]

null

TCConfig/fields/__init__.py

nightfire2/BiomeEdit

e009eb5ecdca063abfbb1a708495176ac5f7defc

[ "FSFAP" ]

null

from ConfigFieldAttribute import ConfigFieldAttribute from ConfigFieldAttribute import ConfigFieldText from ConfigFieldFunc import ConfigFieldFunc from ConfigFieldUnknown import ConfigFieldUnknown

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null

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1

0

1

0

1

0

8

5b46f3d2e241fcbf93edb1a28442185eb10c400f

41

py

Python

gee_gateway/web/__init__.py

jdilger/gee-gateway

2e4d11f01e785359e6f213fe7d647032f1212b76

[ "MIT" ]

5

2016-12-08T15:40:27.000Z

2021-09-10T16:01:36.000Z

gee_gateway/web/__init__.py

jdilger/gee-gateway

2e4d11f01e785359e6f213fe7d647032f1212b76

[ "MIT" ]

1

2020-02-03T22:11:09.000Z

gee_gateway/web/__init__.py

jdilger/gee-gateway

2e4d11f01e785359e6f213fe7d647032f1212b76

[ "MIT" ]

8

2017-05-12T20:49:38.000Z

2020-05-14T19:22:21.000Z

from . import routes from . import errors

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5b6c27edfc853310c86450ac4d88ab7595608441

15,993

py

Python

pybind/slxos/v16r_1_00b/brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/slxos/v16r_1_00b/brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/slxos/v16r_1_00b/brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ class input(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-mpls - based on the path /brocade_mpls_rpc/clear-mpls-statistics-ldp-transit/input. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__clear_statistics_ldp_transit_fec_prefix','__clear_statistics_ldp_transit_fec_prefix_address','__clear_statistics_ldp_transit_fec_prefix_mask',) _yang_name = 'input' _rest_name = 'input' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__clear_statistics_ldp_transit_fec_prefix_mask = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-mask", rest_name="clear-statistics-ldp-transit-fec-prefix-mask", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-subnet-mask', is_config=True) self.__clear_statistics_ldp_transit_fec_prefix_address = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-address", rest_name="clear-statistics-ldp-transit-fec-prefix-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-address', is_config=True) self.__clear_statistics_ldp_transit_fec_prefix = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])/(([0-9])|([1-2][0-9])|(3[0-2]))'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix", rest_name="clear-statistics-ldp-transit-fec-prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-prefix', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'brocade_mpls_rpc', u'clear-mpls-statistics-ldp-transit', u'input'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'clear-mpls-statistics-ldp-transit', u'input'] def _get_clear_statistics_ldp_transit_fec_prefix(self): """ Getter method for clear_statistics_ldp_transit_fec_prefix, mapped from YANG variable /brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/clear_statistics_ldp_transit_fec_prefix (mpls-ipv4-prefix) YANG Description: Transit fec prefix """ return self.__clear_statistics_ldp_transit_fec_prefix def _set_clear_statistics_ldp_transit_fec_prefix(self, v, load=False): """ Setter method for clear_statistics_ldp_transit_fec_prefix, mapped from YANG variable /brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/clear_statistics_ldp_transit_fec_prefix (mpls-ipv4-prefix) If this variable is read-only (config: false) in the source YANG file, then _set_clear_statistics_ldp_transit_fec_prefix is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_clear_statistics_ldp_transit_fec_prefix() directly. YANG Description: Transit fec prefix """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])/(([0-9])|([1-2][0-9])|(3[0-2]))'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix", rest_name="clear-statistics-ldp-transit-fec-prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-prefix', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """clear_statistics_ldp_transit_fec_prefix must be of a type compatible with mpls-ipv4-prefix""", 'defined-type': "brocade-mpls:mpls-ipv4-prefix", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])/(([0-9])|([1-2][0-9])|(3[0-2]))'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix", rest_name="clear-statistics-ldp-transit-fec-prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-prefix', is_config=True)""", }) self.__clear_statistics_ldp_transit_fec_prefix = t if hasattr(self, '_set'): self._set() def _unset_clear_statistics_ldp_transit_fec_prefix(self): self.__clear_statistics_ldp_transit_fec_prefix = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])/(([0-9])|([1-2][0-9])|(3[0-2]))'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix", rest_name="clear-statistics-ldp-transit-fec-prefix", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-prefix', is_config=True) def _get_clear_statistics_ldp_transit_fec_prefix_address(self): """ Getter method for clear_statistics_ldp_transit_fec_prefix_address, mapped from YANG variable /brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/clear_statistics_ldp_transit_fec_prefix_address (mpls-ipv4-address) YANG Description: Fec prefix address """ return self.__clear_statistics_ldp_transit_fec_prefix_address def _set_clear_statistics_ldp_transit_fec_prefix_address(self, v, load=False): """ Setter method for clear_statistics_ldp_transit_fec_prefix_address, mapped from YANG variable /brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/clear_statistics_ldp_transit_fec_prefix_address (mpls-ipv4-address) If this variable is read-only (config: false) in the source YANG file, then _set_clear_statistics_ldp_transit_fec_prefix_address is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_clear_statistics_ldp_transit_fec_prefix_address() directly. YANG Description: Fec prefix address """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-address", rest_name="clear-statistics-ldp-transit-fec-prefix-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-address', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """clear_statistics_ldp_transit_fec_prefix_address must be of a type compatible with mpls-ipv4-address""", 'defined-type': "brocade-mpls:mpls-ipv4-address", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-address", rest_name="clear-statistics-ldp-transit-fec-prefix-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-address', is_config=True)""", }) self.__clear_statistics_ldp_transit_fec_prefix_address = t if hasattr(self, '_set'): self._set() def _unset_clear_statistics_ldp_transit_fec_prefix_address(self): self.__clear_statistics_ldp_transit_fec_prefix_address = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-address", rest_name="clear-statistics-ldp-transit-fec-prefix-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-address', is_config=True) def _get_clear_statistics_ldp_transit_fec_prefix_mask(self): """ Getter method for clear_statistics_ldp_transit_fec_prefix_mask, mapped from YANG variable /brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/clear_statistics_ldp_transit_fec_prefix_mask (mpls-ipv4-subnet-mask) YANG Description: Fec prefix address mask """ return self.__clear_statistics_ldp_transit_fec_prefix_mask def _set_clear_statistics_ldp_transit_fec_prefix_mask(self, v, load=False): """ Setter method for clear_statistics_ldp_transit_fec_prefix_mask, mapped from YANG variable /brocade_mpls_rpc/clear_mpls_statistics_ldp_transit/input/clear_statistics_ldp_transit_fec_prefix_mask (mpls-ipv4-subnet-mask) If this variable is read-only (config: false) in the source YANG file, then _set_clear_statistics_ldp_transit_fec_prefix_mask is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_clear_statistics_ldp_transit_fec_prefix_mask() directly. YANG Description: Fec prefix address mask """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-mask", rest_name="clear-statistics-ldp-transit-fec-prefix-mask", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-subnet-mask', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """clear_statistics_ldp_transit_fec_prefix_mask must be of a type compatible with mpls-ipv4-subnet-mask""", 'defined-type': "brocade-mpls:mpls-ipv4-subnet-mask", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-mask", rest_name="clear-statistics-ldp-transit-fec-prefix-mask", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-subnet-mask', is_config=True)""", }) self.__clear_statistics_ldp_transit_fec_prefix_mask = t if hasattr(self, '_set'): self._set() def _unset_clear_statistics_ldp_transit_fec_prefix_mask(self): self.__clear_statistics_ldp_transit_fec_prefix_mask = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="clear-statistics-ldp-transit-fec-prefix-mask", rest_name="clear-statistics-ldp-transit-fec-prefix-mask", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=False, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='mpls-ipv4-subnet-mask', is_config=True) clear_statistics_ldp_transit_fec_prefix = __builtin__.property(_get_clear_statistics_ldp_transit_fec_prefix, _set_clear_statistics_ldp_transit_fec_prefix) clear_statistics_ldp_transit_fec_prefix_address = __builtin__.property(_get_clear_statistics_ldp_transit_fec_prefix_address, _set_clear_statistics_ldp_transit_fec_prefix_address) clear_statistics_ldp_transit_fec_prefix_mask = __builtin__.property(_get_clear_statistics_ldp_transit_fec_prefix_mask, _set_clear_statistics_ldp_transit_fec_prefix_mask) _pyangbind_elements = {'clear_statistics_ldp_transit_fec_prefix': clear_statistics_ldp_transit_fec_prefix, 'clear_statistics_ldp_transit_fec_prefix_address': clear_statistics_ldp_transit_fec_prefix_address, 'clear_statistics_ldp_transit_fec_prefix_mask': clear_statistics_ldp_transit_fec_prefix_mask, }

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0.189719

0.863041

0.832415

0.800885

0.796188

0.757702

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78.397059

0.73324

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null

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1

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0

7

5bb4accd0ad572de26dcbca1f7c401d5d129f198

3,709

py

Python

regexlib/2021-5-15/python_re2_test_file/regexlib_1959.py

yetingli/ReDoS-Benchmarks

f5b5094d835649e957bf3fec6b8bd4f6efdb35fc

[ "MIT" ]

1

2022-01-24T14:43:23.000Z

regexlib/python_re2_test_file/regexlib_1959.py

yetingli/ReDoS-Benchmarks

f5b5094d835649e957bf3fec6b8bd4f6efdb35fc

[ "MIT" ]

null

regexlib/python_re2_test_file/regexlib_1959.py

yetingli/ReDoS-Benchmarks

f5b5094d835649e957bf3fec6b8bd4f6efdb35fc

[ "MIT" ]

null

# 1959 # ^((http|https|ftp|ftps)+(:\/\/))?(www\.)?(([a-z0-9\.-]{2,})\.(ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|fx|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|st|su|sv|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|um|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|aero|asia|cat|coop|edu|gov|jobs|mil|mobi|museum|tel|travel|pro|post|biz|com|info|int|name|net|org|pro|arpa)|((25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[1-9])\.(25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[1-9]|0)\.(25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[1-9]|0)\.(25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[0-9])))(:([1-9][0-9]?[0-9]?[0-9]?|[1-5][0-9][0-9][0-9][0-9]|6[0-4][0-9][0-9][0-9]|65[0-4][0-9][0-9]|655[0-2][0-9]|6553[0-5]|))?(((\/(([a-zA-Z0-9_\-\%\~\+\&\;]{1,})+)*)*)|\/$)?(\.(php|html|htm|zip$|arj$|rar$|sit$|pdf$|gif$|jpg$|jpeg$|jpe$|tif$|tiff$))?(\?([a-zA-Z0-9_\-]+\=[a-z-A-Z0-9_\-\%\~\+]+)?(\&([a-zA-Z0-9_\-]+\=[a-z-A-Z0-9_\-\%\~\+]+))*)?(\=\?([a-zA-Z0-9_\-])*)?(((\+([a-zA-Z0-9_])*)?(\-([a-zA-Z0-9_])*)?)*)?(\#([a-z-A-Z0-9_\-\%\~\+\&\;]*$))?$ # EXPONENT # nums:5 # EXPONENT AttackString:"aa.ac"+"+0-"*32+"! _1_EOA(i or ii)" import re2 as re from time import perf_counter regex = """^((http|https|ftp|ftps)+(:\/\/))?(www\.)?(([a-z0-9\.-]{2,})\.(ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|fx|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|st|su|sv|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|um|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|aero|asia|cat|coop|edu|gov|jobs|mil|mobi|museum|tel|travel|pro|post|biz|com|info|int|name|net|org|pro|arpa)|((25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[1-9])\.(25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[1-9]|0)\.(25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[1-9]|0)\.(25[0-5]|2[0-4][0-9]|[0-1]{1}[0-9]{2}|[1-9]{1}[0-9]{1}|[0-9])))(:([1-9][0-9]?[0-9]?[0-9]?|[1-5][0-9][0-9][0-9][0-9]|6[0-4][0-9][0-9][0-9]|65[0-4][0-9][0-9]|655[0-2][0-9]|6553[0-5]|))?(((\/(([a-zA-Z0-9_\-\%\~\+\&\;]{1,})+)*)*)|\/$)?(\.(php|html|htm|zip$|arj$|rar$|sit$|pdf$|gif$|jpg$|jpeg$|jpe$|tif$|tiff$))?(\?([a-zA-Z0-9_\-]+\=[a-z-A-Z0-9_\-\%\~\+]+)?(\&([a-zA-Z0-9_\-]+\=[a-z-A-Z0-9_\-\%\~\+]+))*)?(\=\?([a-zA-Z0-9_\-])*)?(((\+([a-zA-Z0-9_])*)?(\-([a-zA-Z0-9_])*)?)*)?(\#([a-z-A-Z0-9_\-\%\~\+\&\;]*$))?$""" REGEX = re.compile(regex) for i in range(0, 150000): ATTACK = "aa.ac" + "+0-" * i * 1 + "! _1_EOA(i or ii)" LEN = len(ATTACK) BEGIN = perf_counter() m = REGEX.search(ATTACK) # m = REGEX.match(ATTACK) DURATION = perf_counter() - BEGIN print(f"{i *1}: took {DURATION} seconds!")

195.210526

1,639

0.539768

1,011

3,709

1.95549

0.335312

0.052605

0.036419

0.032372

0.87304

0.863935

0

0.096676

0.026692

3,709

19

1,640

195.210526

0.45097

0.465894

0

0.090909

0.852077

0.823202

0.090909

0

1

0

false

0

0.181818

0

0.181818

0.090909

0

1

null

0

1

0

1

0

1

null

0

12

5bcffa842952b4b690e857ea7913b1d5f3dec6fa

255

py

Python

email2slack/compat.py

mikoim/email2slack

b5b176776791ad3895b94aece40f864323d5c105

[ "MIT" ]

5

2017-07-27T15:53:41.000Z

2021-04-16T00:29:40.000Z

email2slack/compat.py

mikoim/email2slack

b5b176776791ad3895b94aece40f864323d5c105

[ "MIT" ]

14

2016-11-12T15:56:47.000Z

2019-09-23T10:01:26.000Z

email2slack/compat.py

mikoim/email2slack

b5b176776791ad3895b94aece40f864323d5c105

[ "MIT" ]

4

2017-06-15T09:17:53.000Z

2021-04-16T01:08:02.000Z

from __future__ import unicode_literals try: from configparser import ConfigParser as compat_configparser # Python 3 except ImportError: from ConfigParser import ConfigParser as compat_configparser # Python 2 __all__ = ['compat_configparser']

28.333333

76

0.807843

29

255

6.689655

0.517241

0.278351

0.226804

0.350515

0.618557

0

0.009302

0.156863

255

8

77

31.875

0.893023

0.066667

0

0.080851

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

752d024287434e3a5fa6a23e949ec2cd446f2519

60,350

py

Python

netforce/tests/unit/napalm/test_nxosnc.py

eBay/pynetforce

599fbfd4d2dc23c0d70a730c80a0e63a4f461b2f

[ "Apache-2.0" ]

16

2018-01-26T19:29:50.000Z

2020-07-31T04:50:37.000Z

netforce/tests/unit/napalm/test_nxosnc.py

eBay/pynetforce

599fbfd4d2dc23c0d70a730c80a0e63a4f461b2f

[ "Apache-2.0" ]

3

2018-02-02T21:45:00.000Z

2019-09-13T15:31:50.000Z

netforce/tests/unit/napalm/test_nxosnc.py

eBay/pynetforce

599fbfd4d2dc23c0d70a730c80a0e63a4f461b2f

[ "Apache-2.0" ]

7

2018-01-27T01:08:49.000Z

2021-01-15T11:03:59.000Z

# Copyright 2018 eBay Inc. # Copyright 2012 OpenStack LLC. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import mock from napalm_base import get_network_driver from napalm_baseebay import ebay_exceptions from netforce.tests.unit.napalm import base class NexusOSTestSuite(base.DietTestCase): """Nexus OS Test Suite This test suite performs setup and teardown functions for this file's unit tests. Each unit test class should inherit from this class, and implement a single "runTest" function. """ def setUp(self): """Perform setup activities """ super(NexusOSTestSuite, self).setUp() driver = get_network_driver('ebaynxos') self.driver = driver( hostname='127.0.0.1', username='cisco', password='cisco' ) self.interface_names = ["Ethernet1", "Ethernet2"] mock_mgr = mock.Mock() self.driver.manager = mock_mgr self.stdout = None def tearDown(self): """Perform teardown activities """ super(NexusOSTestSuite, self).tearDown() class test_update_switch_port_on_interface_vlan_suspended(NexusOSTestSuite): def mock_get_vlan(self, *args, **kwargs): return { 'name': 'test-vlan-2', 'status': 'suspend' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: with mock.patch.object(self.driver, 'compare_vlan_config') \ as compare_config: with mock.patch.object(self.driver, 'get_vlans_on_interface') \ as get_vlan_interface_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None get_vlan_interface_mock.return_vlaue = { 'switch_port_mode': u'trunk', 'native_vlan': u'3', 'trunk_vlans': u'3-4' } compare_config.side_effect = [False, True] get_vlan_mocks.side_effect = self.mock_get_vlan port = { "switch_port_mode": "access", "admin_status": "SUSPENDED", "vlans": [ { "vlan": { "tag": "2" } } ] } self.assertRaises( ebay_exceptions.EntityInSuspendedModeException, self.driver.update_switch_port_vlans, 'Ethernet1', port) class test_update_switch_port_on_int_multi_vlan_not_support_acc_mode( NexusOSTestSuite): def mock_get_vlan(self, *args, **kwargs): return { 'name': 'test-vlan-2', 'status': 'active' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: with mock.patch.object(self.driver, 'compare_vlan_config') \ as compare_config: with mock.patch.object(self.driver, 'get_vlans_on_interface') \ as get_vlan_interface_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None get_vlan_interface_mock.return_vlaue = { 'switch_port_mode': u'trunk', 'native_vlan': u'3', 'trunk_vlans': u'3-4' } compare_config.side_effect = [False, True] get_vlan_mocks.side_effect = self.mock_get_vlan port = { "switch_port_mode": "access", "admin_status": "SUSPENDED", "vlans": [ { "vlan": { "tag": "2" } }, { "vlan": { "tag": "3" } } ] } self.assertRaises( ebay_exceptions.MoreThanOneAccessVlan, self.driver.update_switch_port_vlans, 'Ethernet1', port) class test_update_switch_port_on_interface_invalid_switch_port_mode( NexusOSTestSuite): def mock_get_vlan(self, *args, **kwargs): if kwargs['number'] == 2: return { 'name': 'test-vlan-2', 'status': 'active' } else: return { 'name': 'test-vlan-3', 'status': 'active' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: get_vlan_mocks.side_effect = self.mock_get_vlan with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None port = { "switch_port_mode": "invalid", "admin_status": "ACTIVE", "vlans": [ { "vlan": { "tag": "2", "is_native": False }, }, { "vlan": { "tag": "3", "is_native": True } } ] } self.assertRaises(ebay_exceptions. InvalidValueForParameterException, self.driver.update_switch_port_vlans, 'Et1', port) class test_update_switch_port_on_interface_access_mode_success( NexusOSTestSuite): def validate_commands(self, config): self.assertIs(5, len(config)) def mock_get_vlan(self, *args, **kwargs): return { 'name': 'test-vlan-2', 'status': 'active' } def mock_get_vlans_on_interfaces(self, interfaces): return { 'access_vlan': '2' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: get_vlan_mocks.side_effect = self.mock_get_vlan with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.exec_command.return_value = None port = { "switch_port_mode": "access", "admin_status": "ACTIVE", "vlans": [ { "vlan": { "tag": "2" } } ] } with mock.patch.object(self.driver, 'get_vlans_on_interface')\ as vlan_if_mock: with mock.patch.object(self.driver, 'compare_vlan_config') \ as compare_config: compare_config.side_effect = [False, True] vlan_if_mock.side_effect = \ self.mock_get_vlans_on_interfaces self.driver.update_switch_port_vlans('Ethernet1', port) class test_update_switch_port_prevalidation_success( NexusOSTestSuite): def validate_commands(self, config): self.assertIs(5, len(config)) def mock_get_vlan(self, *args, **kwargs): return { 'name': 'test-vlan-2', 'status': 'active' } def mock_get_vlans_on_interfaces(self, interfaces): return { 'access_vlan': '2' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: get_vlan_mocks.side_effect = self.mock_get_vlan with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None port = { "switch_port_mode": "access", "admin_status": "ACTIVE", "vlans": [ { "vlan": { "tag": "2" } } ] } with mock.patch.object(self.driver, 'get_vlans_on_interface')\ as vlan_if_mock: with mock.patch.object(self.driver, 'compare_vlan_config') \ as compare_config: compare_config.side_effect = [True, True] vlan_if_mock.side_effect = \ self.mock_get_vlans_on_interfaces self.driver.update_switch_port_vlans('Ethernet1', port) class test_update_switch_port_postvalidation_failure( NexusOSTestSuite): def validate_commands(self, config): self.assertIs(5, len(config)) def mock_get_vlan(self, *args, **kwargs): return { 'name': 'test-vlan-2', 'status': 'active' } def mock_get_vlans_on_interfaces(self, interfaces): return { 'access_vlan': '2' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: get_vlan_mocks.side_effect = self.mock_get_vlan port = { "switch_port_mode": "access", "admin_status": "ACTIVE", "vlans": [ { "vlan": { "tag": "2" } } ] } with mock.patch.object(self.driver, 'get_vlans_on_interface')\ as vlan_if_mock: with mock.patch.object(self.driver, 'compare_vlan_config') \ as compare_config: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.exec_command.return_value = None compare_config.side_effect = [False, False] vlan_if_mock.side_effect = \ self.mock_get_vlans_on_interfaces self.assertRaises(ebay_exceptions. PostChangeValidationException, self.driver. update_switch_port_vlans, 'Ethernet1', port) class test_interface_label_validation_success(NexusOSTestSuite): def validate_commands(self, config): self.assertIs(2, len(config)) def mock_interfaces(self, interfaces): ifdict = {} for ifname in self.interface_names: ifdict[ifname] = { "name": ifname, "description": 'test-label', } return ifdict def runTest(self): with mock.patch.object(self.driver, 'load_merge_candidate') \ as load_merge_candidate_mock: load_merge_candidate_mock.side_effect = self.validate_commands with mock.patch.object(self.driver, 'commit_config') \ as commit_config_mock: commit_config_mock.return_value = None with mock.patch.object(self.driver, 'get_interfaces_by_name') \ as \ get_interfaces_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None get_interfaces_mock.side_effect = \ self.mock_interfaces self.driver.update_interface_label('Ethernet1', 'test-label') class test_interface_label_post_change_validation_failure(NexusOSTestSuite): def validate_commands(self, config): self.assertIs(2, len(config)) def mock_interfaces(self, interfaces): ifdict = {} for ifname in self.interface_names: ifdict[ifname] = { "name": ifname, "description": 'test-label-1', } return ifdict def runTest(self): with mock.patch.object(self.driver, 'get_interfaces_by_name') \ as \ get_interfaces_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None get_interfaces_mock.side_effect = self.mock_interfaces self.assertRaises(ebay_exceptions. PostChangeValidationException, self.driver.update_interface_label, 'Ethernet1', 'test-label') class test_create_subnet_success(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as vlan_mock: vlan_mock.return_value = { 'name': 'test-vlan', 'status': 'active' } with mock.patch.object(self.driver, 'get_ip_addrs_on_interface') \ as get_subnets_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: with mock.patch.object(self.driver, 'open') \ as open: with mock.patch.object(self.driver, 'close') \ as close: open.return_value = None close.return_value = None check_connected.return_value = None push_changes.return_value = None get_subnets_mock.side_effect = \ [[], ['1.1.1.1/24']] commands = self.driver.create_subnet( '1.1.1.1/24', 2) self.assertIsNotNone(commands) class test_create_subnet_failure_vlan_not_found(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as vlan_mock: vlan_mock.return_value = None with mock.patch.object(self.driver, 'get_ip_addrs_on_interface') \ as get_subnets_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None get_subnets_mock.side_effect = [[], ['1.1.1.1/24']] self.assertRaises(ebay_exceptions. EntityDoesNotExistsException, self.driver.create_subnet, '1.1.1.1/24', 2) class test_create_subnet_failure_in_config_push(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as vlan_mock: vlan_mock.return_value = { 'name': 'test-vlan', 'status': 'active' } with mock.patch.object(self.driver, 'get_ip_addrs_on_interface') \ as get_subnets_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: with mock.patch.object(self.driver, 'open') \ as open: with mock.patch.object(self.driver, 'close') \ as close: open.return_value = None close.return_value = None check_connected.return_value = None push_changes.return_value = None get_subnets_mock.side_effect = [[], []] self.assertRaises( ebay_exceptions. PostChangeValidationException, self.driver.create_subnet, '1.1.1.1/24', 2) class test_create_subnet_failure_subnet_already_exists(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as vlan_mock: vlan_mock.return_value = { 'name': 'test-vlan', 'status': 'active' } with mock.patch.object(self.driver, 'get_ip_addrs_on_interface') \ as get_subnets_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = None get_subnets_mock.side_effect = [['1.1.1.1/24']] self.assertRaises(ebay_exceptions. SubnetAlreadyConfiguredException, self.driver.create_subnet, '1.1.1.1/24', 2) class test_get_mac_addresses_on_interface(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = '''<?xml version="1.0" encoding="ISO-8859-1"?> <nf:rpc-reply> <nf:data> <show> <mac> <address-table> <__XML__OPT_Cmd_show_mac_addr_tbl_static> <__XML__OPT_Cmd_show_mac_addr_tbl_address> <__XML__OPT_Cmd_show_mac_addr_tbl___readonly__> <__readonly__> <TABLE_mac_address> <ROW_mac_address> <disp_mac_addr>dead.dead.dead</disp_mac_addr> <disp_type>* </disp_type> <disp_vlan>2</disp_vlan> <disp_is_static>disabled</disp_is_static> <disp_age>0</disp_age> <disp_is_secure>disabled</disp_is_secure> <disp_is_ntfy>disabled</disp_is_ntfy> <disp_port>Ethernet1/1</disp_port> </ROW_mac_address> </TABLE_mac_address> </__readonly__> </__XML__OPT_Cmd_show_mac_addr_tbl___readonly__> </__XML__OPT_Cmd_show_mac_addr_tbl_address> </__XML__OPT_Cmd_show_mac_addr_tbl_static> </address-table> </mac> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' ret = self.driver.get_mac_addresses_on_interface( 'Ethernet1/1', 2) expected = [{'mac_address': 'dead.dead.dead', 'vlan': 2}] self.assertEqual(expected, ret) #cmd = 'show mac address-table interface %s vlan %s' % ('Ethernet1/1', # 2) #self.driver.manager.exec_command.assert_called_once_with(cmd) class test_get_mac_addresses_on_interface_more_than_one_row(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = '''<?xml version="1.0" encoding="ISO-8859-1"?> <nf:rpc-reply> <nf:data> <show> <mac> <address-table> <__XML__OPT_Cmd_show_mac_addr_tbl_static> <__XML__OPT_Cmd_show_mac_addr_tbl_address> <__XML__OPT_Cmd_show_mac_addr_tbl___readonly__> <__readonly__> <TABLE_mac_address> <ROW_mac_address> <disp_mac_addr>dead.dead.dead</disp_mac_addr> <disp_type>* </disp_type> <disp_vlan>2</disp_vlan> <disp_is_static>disabled</disp_is_static> <disp_age>0</disp_age> <disp_is_secure>disabled</disp_is_secure> <disp_is_ntfy>disabled</disp_is_ntfy> <disp_port>Ethernet1/1</disp_port> </ROW_mac_address> <ROW_mac_address> <disp_mac_addr>beef.beef.beef</disp_mac_addr> <disp_type>* </disp_type> <disp_vlan>2</disp_vlan> <disp_is_static>disabled</disp_is_static> <disp_age>0</disp_age> <disp_is_secure>disabled</disp_is_secure> <disp_is_ntfy>disabled</disp_is_ntfy> <disp_port>Ethernet1/1</disp_port> </ROW_mac_address> </TABLE_mac_address> </__readonly__> </__XML__OPT_Cmd_show_mac_addr_tbl___readonly__> </__XML__OPT_Cmd_show_mac_addr_tbl_address> </__XML__OPT_Cmd_show_mac_addr_tbl_static> </address-table> </mac> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' ret = self.driver.get_mac_addresses_on_interface( 'Ethernet1/1', 2) expected = [{'mac_address': 'dead.dead.dead', 'vlan': 2}, {'mac_address': 'beef.beef.beef', 'vlan': 2}] self.assertEqual(expected, ret) #cmd = 'show mac address-table interface %s vlan %s' % ('Ethernet1/1', # 2) #self.driver.manager.exec_command.assert_called_once_with([cmd]) class test_get_mac_addresses_on_interface_empty(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = '''<?xml version="1.0" encoding="ISO-8859-1"?> <nf:rpc-reply> <nf:data> <show> <mac> <address-table> <__XML__OPT_Cmd_show_mac_addr_tbl_static> <__XML__OPT_Cmd_show_mac_addr_tbl_address> <__XML__OPT_Cmd_show_mac_addr_tbl___readonly__> <__readonly__> <header>fake header</header> </__readonly__> </__XML__OPT_Cmd_show_mac_addr_tbl___readonly__> </__XML__OPT_Cmd_show_mac_addr_tbl_address> </__XML__OPT_Cmd_show_mac_addr_tbl_static> </address-table> </mac> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' ret = self.driver.get_mac_addresses_on_interface( 'Ethernet1/1', 2) expected = [] self.assertEqual(expected, ret) #cmd = 'show mac address-table interface %s vlan %s' % ('Ethernet1/1', # 2) #self.driver.manager.exec_command.assert_called_once_with([cmd]) class test_get_traffic_on_interface(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = " input rate 3.27 Kbps, 0 pps; output rate 3.78 Kbps," \ " 1 pps\n" data = self.driver.get_traffic_on_interface('Ethernet1/1') expected = (3000, 4000) self.assertEqual(expected, data) routes_string = '''<?xml version="1.0" encoding="ISO-8859-1"?> <nf:rpc-reply> <nf:data> <show> <__XML__BLK_Cmd_urib_show_routing_command_routing> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command_ip> <ip/> </__XML__OPT_Cmd_urib_show_routing_command_ip> </__XML__OPT_Cmd_urib_show_routing_command_vrf> <ip> <route/> </ip> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command_ip> <__XML__OPT_Cmd_urib_show_routing_command_unicast> <__XML__OPT_Cmd_urib_show_routing_command_topology> <__XML__OPT_Cmd_urib_show_routing_command_l3vm-info> <__XML__OPT_Cmd_urib_show_routing_command_rpf> <__XML__OPT_Cmd_urib_show_routing_command_ip-addr> <__XML__OPT_Cmd_urib_show_routing_command_protocol> <__XML__OPT_Cmd_urib_show_routing_command_summary> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command___readonly__> <__readonly__> <TABLE_vrf> <ROW_vrf> <vrf-name-out>default</vrf-name-out> <TABLE_addrf> <ROW_addrf> <addrf>ipv4</addrf> <TABLE_prefix> <ROW_prefix> <ipprefix>192.168.12.0/24</ipprefix> <ucast-nhops>1</ucast-nhops> <mcast-nhops>0</mcast-nhops> <attached>false</attached> <TABLE_path> <ROW_path> <uptime>P19DT37M39S</uptime> <pref>20</pref> <metric>0</metric> <clientname>bgp-65001</clientname> <type>external</type> <tag>65002</tag> <ubest>true</ubest> </ROW_path> </TABLE_path> </ROW_prefix> <ROW_prefix> <ipprefix>10.1.0.0/24</ipprefix> <ucast-nhops>1</ucast-nhops> <mcast-nhops>0</mcast-nhops> <attached>false</attached> <TABLE_path> <ROW_path> <uptime>P19DT37M39S</uptime> <pref>20</pref> <metric>0</metric> <clientname>bgp-65001</clientname> <type>external</type> <tag>65002</tag> <ubest>true</ubest> </ROW_path> </TABLE_path> </ROW_prefix> </TABLE_prefix> </ROW_addrf> </TABLE_addrf> </ROW_vrf> </TABLE_vrf> </__readonly__> </__XML__OPT_Cmd_urib_show_routing_command___readonly__> </__XML__OPT_Cmd_urib_show_routing_command_vrf> </__XML__OPT_Cmd_urib_show_routing_command_summary> </__XML__OPT_Cmd_urib_show_routing_command_protocol> </__XML__OPT_Cmd_urib_show_routing_command_ip-addr> </__XML__OPT_Cmd_urib_show_routing_command_rpf> </__XML__OPT_Cmd_urib_show_routing_command_l3vm-info> </__XML__OPT_Cmd_urib_show_routing_command_topology> </__XML__OPT_Cmd_urib_show_routing_command_unicast> </__XML__OPT_Cmd_urib_show_routing_command_ip> </__XML__OPT_Cmd_urib_show_routing_command_vrf> </__XML__BLK_Cmd_urib_show_routing_command_routing> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' class test_get_routes(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_get_vrfs') as vrf_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = routes_string with mock.patch.object(self.driver, 'get_routes_aggregate') \ as routes_aggregate: routes_aggregate.return_value = [] vrf_mock.return_value = ['test'] data = self.driver.get_routes('test') expected = [u'192.168.12.0/24', u'10.1.0.0/24'] self.assertEqual(sorted(expected), sorted(data)) # test with no-vrf data = self.driver.get_routes() expected = [] self.assertEqual(sorted(expected), sorted(data)) class test_get_routes_aggregates_exist(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_get_vrfs') as vrf_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = routes_string with mock.patch.object(self.driver, 'get_routes_aggregate') \ as routes_aggregate: vrf_mock.return_value = ['test'] routes_aggregate.side_effect = [[u'192.168.12.0/24'], []] data = self.driver.get_routes('test') expected = [u'10.1.0.0/24'] # vrf_list =['lab1-10', 'lab1-20', 'lab1-30'] self.assertEqual(expected, data) # test with no-vrf data = self.driver.get_routes() expected = [] # vrf_list =['lab1-10', 'lab1-20', 'lab1-30'] self.assertEqual(sorted(expected), sorted(data)) class test_get_vrfs(NexusOSTestSuite): vrf_string = '''<?xml version="1.0" encoding="ISO-8859-1"?> <nf:rpc-reply xmlns:if="http://"> <nf:data> <show> <vrf> <__XML__OPT_Cmd_l3vm_show_vrf_cmd_vrf-name> <__XML__OPT_Cmd_l3vm_show_vrf_cmd_detail> <__XML__OPT_Cmd_l3vm_show_vrf_cmd___readonly__> <__readonly__> <TABLE_vrf> <ROW_vrf> <vrf_name>default</vrf_name> <vrf_id>1</vrf_id> <vrf_state>Up</vrf_state> <vrf_reason>--</vrf_reason> </ROW_vrf> <ROW_vrf> <vrf_name>test1</vrf_name> <vrf_id>1</vrf_id> <vrf_state>Up</vrf_state> <vrf_reason>--</vrf_reason> </ROW_vrf> </TABLE_vrf> </__readonly__> </__XML__OPT_Cmd_l3vm_show_vrf_cmd___readonly__> </__XML__OPT_Cmd_l3vm_show_vrf_cmd_detail> </__XML__OPT_Cmd_l3vm_show_vrf_cmd_vrf-name> </vrf> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: push_changes.return_value = self.vrf_string with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None expected = [u'default', u'test1'] data = self.driver._get_vrfs() self.assertEqual(expected, data) class test_get_ip_addrs_on_interface(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = """ip address 2.2.2.2/24\nip address 1.1.1.1/24 secondary\n """ data = self.driver.get_ip_addrs_on_interface('vlan2') expected = [u'2.2.2.2/24', u'1.1.1.1/24'] self.assertEqual(sorted(expected), sorted(data)) class test_get_ip_addrs_on_interface_no_subnet(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = " " data = self.driver.get_ip_addrs_on_interface('vlan2') expected = [] self.assertEqual(expected, data) class test_get_ip_addrs_on_interface_ip_addr_in_description( NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value = """description ip address\n ip address 2.2.2.2/24\n ip address 1.1.1.1/24 secondary\n """ data = self.driver.get_ip_addrs_on_interface('vlan2') expected = [u'2.2.2.2/24', u'1.1.1.1/24'] self.assertEqual(expected, data) class test_get_routes_aggregates_no_vrf(NexusOSTestSuite): aggregates = '''<?xml version="1.0" encoding="ISO-8859-1"?> <nf:rpc-reply xmlns:nf="urn:ietf:params:xml:ns:netconf:base:1.0"> <nf:data> <show> <__XML__BLK_Cmd_urib_show_routing_command_routing> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command_ip> <ip/> </__XML__OPT_Cmd_urib_show_routing_command_ip> </__XML__OPT_Cmd_urib_show_routing_command_vrf> <ip> <route/> </ip> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command_ip> <__XML__OPT_Cmd_urib_show_routing_command_unicast> <__XML__OPT_Cmd_urib_show_routing_command_topology> <__XML__OPT_Cmd_urib_show_routing_command_l3vm-info> <__XML__OPT_Cmd_urib_show_routing_command_rpf> <__XML__OPT_Cmd_urib_show_routing_command_ip-addr> <__XML__OPT_Cmd_urib_show_routing_command_protocol> <__XML__ALL_og_Cmd_urib_show_routing_command_protocol> <protocol> <__XML__PARAM_value>static</__XML__PARAM_value> </protocol> </__XML__ALL_og_Cmd_urib_show_routing_command_protocol> <__XML__OPT_Cmd_urib_show_routing_command_summary> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command___readonly__> <__readonly__> <TABLE_vrf> <ROW_vrf> <vrf-name-out>default</vrf-name-out> <TABLE_addrf> <ROW_addrf> <addrf>ipv4</addrf> <TABLE_prefix> <ROW_prefix> <ipprefix>0.0.0.0/0</ipprefix> <ucast-nhops>1</ucast-nhops> <mcast-nhops>0</mcast-nhops> <attached>false</attached> <TABLE_path> <ROW_path> <uptime>PT8H19M19S</uptime> <pref>20</pref> <metric>101</metric> <clientname>bgp-65001</clientname> <type>external</type> <tag>65000</tag> <ubest>true</ubest> </ROW_path> </TABLE_path> </ROW_prefix> <ROW_prefix> <ipprefix>1.1.1.0/24</ipprefix> <ucast-nhops>1</ucast-nhops> <mcast-nhops>0</mcast-nhops> <attached>false</attached> <TABLE_path> <ROW_path> <uptime>P3M10DT6H30M4S</uptime> <pref>20</pref> <metric>0</metric> <clientname>bgp-65001</clientname> <type>external</type> <tag>65002</tag> <ubest>true</ubest> </ROW_path> </TABLE_path> </ROW_prefix> </TABLE_prefix> </ROW_addrf> </TABLE_addrf> </ROW_vrf> </TABLE_vrf> </__readonly__> </__XML__OPT_Cmd_urib_show_routing_command___readonly__> </__XML__OPT_Cmd_urib_show_routing_command_vrf> </__XML__OPT_Cmd_urib_show_routing_command_summary> </__XML__OPT_Cmd_urib_show_routing_command_protocol> </__XML__OPT_Cmd_urib_show_routing_command_ip-addr> </__XML__OPT_Cmd_urib_show_routing_command_rpf> </__XML__OPT_Cmd_urib_show_routing_command_l3vm-info> </__XML__OPT_Cmd_urib_show_routing_command_topology> </__XML__OPT_Cmd_urib_show_routing_command_unicast> </__XML__OPT_Cmd_urib_show_routing_command_ip> </__XML__OPT_Cmd_urib_show_routing_command_vrf> </__XML__BLK_Cmd_urib_show_routing_command_routing> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' def runTest(self): with mock.patch.object(self.driver, '_get_vrfs') as vrf_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = self.aggregates vrf_mock.return_value = ['test'] data = self.driver.get_routes_aggregate() expected = [] # vrf_list =['lab1-10', 'lab1-20', 'lab1-30'] self.assertEqual(expected, data) class test_get_routes_aggregates_with_vrf(NexusOSTestSuite): vrf_aggregates = '''<nf:rpc-reply xmlns:nf="urn:ietf:"> <nf:data> <show> <__XML__BLK_Cmd_urib_show_routing_command_routing> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command_ip> <ip/> </__XML__OPT_Cmd_urib_show_routing_command_ip> </__XML__OPT_Cmd_urib_show_routing_command_vrf> <ip> <route/> </ip> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <__XML__OPT_Cmd_urib_show_routing_command_ip> <__XML__OPT_Cmd_urib_show_routing_command_unicast> <__XML__OPT_Cmd_urib_show_routing_command_topology> <__XML__OPT_Cmd_urib_show_routing_command_l3vm-info> <__XML__OPT_Cmd_urib_show_routing_command_rpf> <__XML__OPT_Cmd_urib_show_routing_command_ip-addr> <__XML__OPT_Cmd_urib_show_routing_command_protocol> <__XML__OPT_Cmd_urib_show_routing_command_summary> <__XML__OPT_Cmd_urib_show_routing_command_vrf> <vrf> <__XML__BLK_Cmd_urib_show_routing_command_vrf-name> <vrf-known-name>fake-20</vrf-known-name> </__XML__BLK_Cmd_urib_show_routing_command_vrf-name> </vrf> <__XML__OPT_Cmd_urib_show_routing_command___readonly__> <__readonly__> <TABLE_vrf> <ROW_vrf> <vrf-name-out>fake-20</vrf-name-out> <TABLE_addrf> <ROW_addrf> <addrf>ipv4</addrf> <TABLE_prefix> <ROW_prefix> <ipprefix>10.167.128.0/18</ipprefix> <ucast-nhops>1</ucast-nhops> <mcast-nhops>0</mcast-nhops> <attached>FALSE</attached> <TABLE_path> <ROW_path> <ifname>Null0</ifname> <uptime>P4M29DT3H35M12S</uptime> <pref>220</pref> <metric>0</metric> <clientname>bgp-64615</clientname> <type>discard</type> <tag>64615</tag> <ubest>TRUE</ubest> </ROW_path> </TABLE_path> </ROW_prefix> </TABLE_prefix> </ROW_addrf> </TABLE_addrf> </ROW_vrf> </TABLE_vrf> </__readonly__> </__XML__OPT_Cmd_urib_show_routing_command___readonly__> </__XML__OPT_Cmd_urib_show_routing_command_vrf> </__XML__OPT_Cmd_urib_show_routing_command_summary> </__XML__OPT_Cmd_urib_show_routing_command_protocol> </__XML__OPT_Cmd_urib_show_routing_command_ip-addr> </__XML__OPT_Cmd_urib_show_routing_command_rpf> </__XML__OPT_Cmd_urib_show_routing_command_l3vm-info> </__XML__OPT_Cmd_urib_show_routing_command_topology> </__XML__OPT_Cmd_urib_show_routing_command_unicast> </__XML__OPT_Cmd_urib_show_routing_command_ip> </__XML__OPT_Cmd_urib_show_routing_command_vrf> </__XML__BLK_Cmd_urib_show_routing_command_routing> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' def runTest(self): with mock.patch.object(self.driver, '_get_vrfs') as vrf_mock: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = self.vrf_aggregates vrf_mock.return_value = ['test'] data = self.driver.get_routes_aggregate('test') expected = [u'10.167.128.0/18'] # vrf_list =['lab1-10', 'lab1-20', 'lab1-30'] self.assertEqual(expected, data) class test_get_routes_aggregates_wrong_vrf(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, '_get_vrfs') \ as vrfs: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None vrfs.return_value = ['lab1-10'] vrf_name = 'fake' self.assertRaises(ebay_exceptions. EntityDoesNotExistsException, self.driver.get_routes_aggregate, vrf_name) class test_delete_subnet_success(NexusOSTestSuite): def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as vlan_mock: vlan_mock.return_value = { 'name': 'test-vlan', 'status': 'active' } with mock.patch.object(self.driver, 'get_ip_addrs_on_interface') \ as get_subnets_mock: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: push_changes.return_value = None check_connected.return_value = None get_subnets_mock.side_effect = [['1.1.1.1/24'], []] commands = self.driver.delete_subnet_on_device( '1.1.1.1/24', 2) self.assertIsNotNone(commands) class test_get_routes_aggregates_with_vrf_other_type(NexusOSTestSuite): vrf_aggregates = '''<nf:rpc-reply xmlns:nf="urn:ietf:"> <nf:data> <show> <ip> <route> <vrf> <__XML__PARAM__vrf-known-name'> <__readonly__> <TABLE_vrf> <ROW_vrf> <vrf-name-out>fake-20</vrf-name-out> <TABLE_addrf> <ROW_addrf> <addrf>ipv4</addrf> <TABLE_prefix> <ROW_prefix> <ipprefix>10.167.128.0/18</ipprefix> <ucast-nhops>1</ucast-nhops> <mcast-nhops>0</mcast-nhops> <attached>FALSE</attached> <TABLE_path> <ROW_path> <ifname>Null0</ifname> <uptime>P4M29DT3H35M12S</uptime> <pref>220</pref> <metric>0</metric> <clientname>bgp-64615</clientname> <type>discard</type> <tag>64615</tag> <ubest>TRUE</ubest> </ROW_path> </TABLE_path> </ROW_prefix> </TABLE_prefix> </ROW_addrf> </TABLE_addrf> </ROW_vrf> </TABLE_vrf> </__readonly__> </__XML__PARAM__vrf-known-name'> </vrf> </route> </ip> <__XML__PARAM__vrf-known-name'> </show> </nf:data> </nf:rpc-reply> ]]>]]> ''' class test_check_hidden_routes_aggregates_with_vrf(NexusOSTestSuite): hidden_aggregates = '''*>a10.166.0.0/16 0.0.0.0 100 32768 i\n a10.173.160.0/20 0.0.0.0 100 32768 i\n''' def runTest(self): with mock.patch.object(self.driver, '_get_vrfs') \ as vrfs: with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.return_value \ = self.hidden_aggregates vrfs.return_value = ['lab04-native'] data = self.driver.check_hidden_routes_aggregates( 'lab04-native') expected = ['10.173.160.0/20', '10.166.0.0/16'] self.assertEqual(sorted(expected), sorted(data)) class test_update_switch_port_on_interface_trunk_mode_allowed_vlans( NexusOSTestSuite): def validate_commands(self, config): self.assertIs(5, len(config)) def mock_get_vlan(self, *args, **kwargs): return { 'name': 'test-vlan-2', 'status': 'active' } def mock_get_vlans_on_interfaces(self, interfaces): return { 'native_vlan': '5' } def runTest(self): with mock.patch.object(self.driver, 'get_vlan') as get_vlan_mocks: get_vlan_mocks.side_effect = self.mock_get_vlan with mock.patch.object(self.driver, '_exec_command') \ as push_changes: with mock.patch.object( self.driver, '_check_if_connected') \ as check_connected: check_connected.return_value = None push_changes.exec_command.return_value = None port = { "switch_port_mode": "trunk", "admin_status": "ACTIVE", "vlans": [ { "vlan": { "tag": "2", 'is_native': False } }, { "vlan": { "tag": "5", 'is_native': True } }, { "vlan": { "tag": "3", 'is_native': True } } ] } with mock.patch.object(self.driver, 'get_vlans_on_interface')\ as vlan_if_mock: with mock.patch.object(self.driver, 'compare_vlan_config') \ as compare_config: compare_config.side_effect = [False, True] vlan_if_mock.side_effect = \ self.mock_get_vlans_on_interfaces commands = self.driver.update_switch_port_vlans( 'Ethernet1', port) self.assertIn('2', commands)

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f34b13f7d93d7c19e623aafc6d5f7aa82ce6933e

9,623

py

Python

test/test_action_templates_api.py

cvent/octopus-deploy-api-client

0e03e842e1beb29b132776aee077df570b88366a

[ "Apache-2.0" ]

null

test/test_action_templates_api.py

cvent/octopus-deploy-api-client

0e03e842e1beb29b132776aee077df570b88366a

[ "Apache-2.0" ]

null

test/test_action_templates_api.py

cvent/octopus-deploy-api-client

0e03e842e1beb29b132776aee077df570b88366a

[ "Apache-2.0" ]

null

# coding: utf-8 """ Octopus Server API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 2019.6.7+Branch.tags-2019.6.7.Sha.aa18dc6809953218c66f57eff7d26481d9b23d6a Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import octopus_deploy_swagger_client from octopus_deploy_client.action_templates_api import ActionTemplatesApi # noqa: E501 from octopus_deploy_swagger_client.rest import ApiException class TestActionTemplatesApi(unittest.TestCase): """ActionTemplatesApi unit test stubs""" def setUp(self): self.api = octopus_deploy_client.action_templates_api.ActionTemplatesApi() # noqa: E501 def tearDown(self): pass def test_create_response_descriptor_projects_action_template_action_template_resource(self): """Test case for create_response_descriptor_projects_action_template_action_template_resource Create a ActionTemplateResource # noqa: E501 """ pass def test_create_response_descriptor_projects_action_template_action_template_resource_spaces(self): """Test case for create_response_descriptor_projects_action_template_action_template_resource_spaces Create a ActionTemplateResource # noqa: E501 """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder_0(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder_0 """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder_spaces(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder_spaces """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder_spaces_0(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_get_responder_spaces_0 """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder_0(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder_0 """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder_spaces(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder_spaces """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder_spaces_0(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_logo_put_responder_spaces_0 """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_usage_responder(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_usage_responder """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_usage_responder_spaces(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_usage_responder_spaces """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_version_get_responder(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_version_get_responder """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_template_version_get_responder_spaces(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_template_version_get_responder_spaces """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_templates_search_responder(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_templates_search_responder """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_action_templates_search_responder_spaces(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_action_templates_search_responder_spaces """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_deployment_action_update_action_template_actions_update_responder(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_deployment_action_update_action_template_actions_update_responder """ pass def test_custom_action_response_descriptor_octopus_server_web_api_actions_deployment_action_update_action_template_actions_update_responder_spaces(self): """Test case for custom_action_response_descriptor_octopus_server_web_api_actions_deployment_action_update_action_template_actions_update_responder_spaces """ pass def test_custom_query_response_descriptor_octopus_server_web_api_actions_list_action_template_categories_responder(self): """Test case for custom_query_response_descriptor_octopus_server_web_api_actions_list_action_template_categories_responder """ pass def test_custom_query_response_descriptor_octopus_server_web_api_actions_list_action_template_categories_responder_spaces(self): """Test case for custom_query_response_descriptor_octopus_server_web_api_actions_list_action_template_categories_responder_spaces """ pass def test_delete_on_background_response_descriptor_projects_action_template_action_template_resource(self): """Test case for delete_on_background_response_descriptor_projects_action_template_action_template_resource Delete a ActionTemplateResource by ID # noqa: E501 """ pass def test_delete_on_background_response_descriptor_projects_action_template_action_template_resource_spaces(self): """Test case for delete_on_background_response_descriptor_projects_action_template_action_template_resource_spaces Delete a ActionTemplateResource by ID # noqa: E501 """ pass def test_index_response_descriptor_projects_action_template_action_template_resource(self): """Test case for index_response_descriptor_projects_action_template_action_template_resource Get a list of ActionTemplateResources # noqa: E501 """ pass def test_index_response_descriptor_projects_action_template_action_template_resource_spaces(self): """Test case for index_response_descriptor_projects_action_template_action_template_resource_spaces Get a list of ActionTemplateResources # noqa: E501 """ pass def test_list_all_response_descriptor_projects_action_template_action_template_resource(self): """Test case for list_all_response_descriptor_projects_action_template_action_template_resource Get a list of ActionTemplateResources # noqa: E501 """ pass def test_list_all_response_descriptor_projects_action_template_action_template_resource_spaces(self): """Test case for list_all_response_descriptor_projects_action_template_action_template_resource_spaces Get a list of ActionTemplateResources # noqa: E501 """ pass def test_load_response_descriptor_projects_action_template_action_template_resource(self): """Test case for load_response_descriptor_projects_action_template_action_template_resource Get a ActionTemplateResource by ID # noqa: E501 """ pass def test_load_response_descriptor_projects_action_template_action_template_resource_spaces(self): """Test case for load_response_descriptor_projects_action_template_action_template_resource_spaces Get a ActionTemplateResource by ID # noqa: E501 """ pass def test_modify_response_descriptor_projects_action_template_action_template_resource(self): """Test case for modify_response_descriptor_projects_action_template_action_template_resource Modify a ActionTemplateResource by ID # noqa: E501 """ pass def test_modify_response_descriptor_projects_action_template_action_template_resource_spaces(self): """Test case for modify_response_descriptor_projects_action_template_action_template_resource_spaces Modify a ActionTemplateResource by ID # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

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f373bcdfc1753164eb38b128cd8de5bd35fb3b61

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py

Python

pymonero/bitmonerod/__init__.py

Monero-Monitor/pymonero

fc3a0c6ab507d79e9ec77378ec5817f5f0127b52

[ "BSD-3-Clause" ]

10

2016-03-24T08:09:55.000Z

2019-01-15T11:03:30.000Z

pymonero/bitmonerod/__init__.py

Monero-Monitor/pymonero

fc3a0c6ab507d79e9ec77378ec5817f5f0127b52

[ "BSD-3-Clause" ]

2

2016-06-19T19:10:59.000Z

2016-09-19T17:19:46.000Z

pymonero/bitmonerod/__init__.py

Monero-Monitor/pymonero

fc3a0c6ab507d79e9ec77378ec5817f5f0127b52

[ "BSD-3-Clause" ]

7

2016-09-19T16:37:29.000Z

2020-02-16T07:21:32.000Z

from . import rpc from . import classes

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f3a32eaf5fbfd33cfbbce7d986e54a0da6d81428

1,909

py

Python

plenum/test/monitoring/test_throughput_median_avg.py

andkononykhin/plenum

28dc1719f4b7e80d31dafbadb38cfec4da949886

[ "Apache-2.0" ]

148

2017-07-11T19:05:25.000Z

2022-03-16T21:31:20.000Z

plenum/test/monitoring/test_throughput_median_avg.py

andkononykhin/plenum

28dc1719f4b7e80d31dafbadb38cfec4da949886

[ "Apache-2.0" ]

561

2017-06-29T17:59:56.000Z

2022-03-09T15:47:14.000Z

plenum/test/monitoring/test_throughput_median_avg.py

andkononykhin/plenum

28dc1719f4b7e80d31dafbadb38cfec4da949886

[ "Apache-2.0" ]

378

2017-06-29T17:45:27.000Z

2022-03-26T07:27:59.000Z

def test_low_median(fake_monitor, tconf): monitor = fake_monitor # Filling for case, when the most of backup throughputs are small and several is very big # Case is [100, 120, 120, 120, 10000] for i in monitor.instances.ids: monitor.throughputs[i].throughput = 120 monitor.throughputs[0].throughput = 100 monitor.throughputs[monitor.instances.count - 1].throughput = 10000 assert monitor.instance_throughput_ratio(0) > tconf.DELTA def test_medium_median(fake_monitor, tconf): monitor = fake_monitor # Filling for case, when the most of backup throughputs a similar with master, # but there is a very small and a very big # Case is [100, 1, 120, 120, 10000] for i in monitor.instances.ids: monitor.throughputs[i].throughput = 120 monitor.throughputs[0].throughput = 100 monitor.throughputs[1].throughput = 1 monitor.throughputs[monitor.instances.count - 1].throughput = 10000 assert monitor.instance_throughput_ratio(0) > tconf.DELTA def test_high_median(fake_monitor, tconf): monitor = fake_monitor # Filling for case, when the most of backup throughputs a similar with master, # but there is a some very big values # Case is [100, 1, 120, 120, 1] for i in monitor.instances.ids: monitor.throughputs[i].throughput = 120 monitor.throughputs[0].throughput = 100 monitor.throughputs[1].throughput = 1 monitor.throughputs[monitor.instances.count - 1].throughput = 1 assert monitor.instance_throughput_ratio(0) > tconf.DELTA def test_triggering_view_change(fake_monitor, tconf): monitor = fake_monitor # Filling for case, when the all of backup throughputs are higher, then for master for i in monitor.instances.ids: monitor.throughputs[i].throughput = 1001 monitor.throughputs[0].throughput = 100 assert monitor.instance_throughput_ratio(0) < tconf.DELTA

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7

f3c6a5a135f9c3ac0a7903b2e792a192026d0f69

245

py

Python

ikev2-node/sentinel/node/__init__.py

sentinel-official/sentinel-go

d0238f4ff21d0a7f2d684f645e47cff85550f0d9

[ "MIT" ]

342

2017-08-21T20:12:56.000Z

2022-03-19T17:58:25.000Z

ikev2-node/sentinel/node/__init__.py

kninezinho/sentinel

012425258c3bc24bd41b2347624ddcadb208adf3

[ "MIT" ]

57

2017-11-13T11:16:47.000Z

2022-03-01T13:54:31.000Z

ikev2-node/sentinel/node/__init__.py

kninezinho/sentinel

012425258c3bc24bd41b2347624ddcadb208adf3

[ "MIT" ]

72

2017-11-23T05:13:24.000Z

2022-02-25T14:18:33.000Z

# coding=utf-8 from .controllers import create_account from .controllers import deregister_node from .controllers import register_node from .controllers import send_connections_info from .controllers import send_node_info from .node import Node

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7

3405a722a343eba6b9b4b4c6a5ae255905cf3ef0

9,729

py

Python

tests/test_app.py

davidzyx/ca-wildfire-risk

e0affe4471cfd0656616faad5d0701c7ed56095d

[ "MIT" ]

2

2021-06-12T23:15:19.000Z

2021-06-12T23:15:24.000Z

tests/test_app.py

nlpathak/California-Wildfire-Risk-Analysis

d0215739fa23a423eb0575db07edc2626b465469

[ "MIT" ]

null

tests/test_app.py

nlpathak/California-Wildfire-Risk-Analysis

d0215739fa23a423eb0575db07edc2626b465469

[ "MIT" ]

2

2021-05-21T16:40:40.000Z

2021-06-12T23:14:26.000Z

from dash.testing.application_runners import import_app from selenium.webdriver.common.keys import Keys from selenium.webdriver.common.action_chains import ActionChains import pandas as pd import dash import dash_core_components as dcc import dash_html_components as html import plotly.express as px import numpy as np import dash_table from datetime import datetime, time import calendar import json from os import path, environ TIMEOUT_TIME = 30 def test_header(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() dash_duo.wait_for_element('#header', timeout=TIMEOUT_TIME) assert dash_duo.find_element('#header').text == 'California Wildfire Interactive Dashboard' def test_tab_cal(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # navigate to cali map page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#cali-map-nav', 1) dash_duo.wait_for_element('#calmap', timeout=TIMEOUT_TIME) assert "Note that a small date range is required for full functionality with the select and hovering tools" in dash_duo.find_element('#calmap').text def test_tab_county(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # navigate to county map page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#county-map-nav', 1) dash_duo.wait_for_element('#app2-div', timeout=TIMEOUT_TIME) print(dash_duo.find_element('#app2-div').text) assert "Please choose your preferred date range between 02-28-2013 and 01-22-2021\nFilter" in dash_duo.find_element('#app2-div').text def test_cal_date_update(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # navigate to cali map page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#cali-map-nav', 1) dash_duo.wait_for_element('#calmap', timeout=TIMEOUT_TIME) #start date is updated to 11/01/2020 start_date_element = dash_duo.find_element('html > body > div > div > div:nth-of-type(3) > div > div > div:nth-of-type(2) > div:nth-of-type(2) > div > div > div > div:nth-of-type(1) > input') start_date_element.click() start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.BACKSPACE) start_date_element.send_keys(Keys.NUMPAD0) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.BACKSPACE) start_date_element.send_keys(Keys.NUMPAD1) # click away from the date widget dash_duo.multiple_click('#header', 1) # see the graphic update dash_duo.wait_for_element('#cali_map', timeout=TIMEOUT_TIME) def test_cal_select(dash_duo): app = import_app('src.app') dash_duo.start_server(app) # navigate to cali map page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#cali-map-nav', 1) dash_duo.wait_for_element('#calmap', timeout=TIMEOUT_TIME) dash_duo.driver.maximize_window() action = ActionChains(dash_duo.driver) map_element = dash_duo.driver.find_element_by_class_name('js-plotly-plot') action.pause(2).move_to_element(map_element).perform() elements = dash_duo.driver.find_elements_by_class_name('modebar-btn') for element in elements: if element.get_attribute('data-title') == 'Box Select': # click on the box select element of the map action.click(element).perform() # create bounding box around some incidents action.click_and_hold(map_element).move_by_offset(-80, 80).release().pause(5).perform() dash_duo.wait_for_element('#cali_map_table', timeout=TIMEOUT_TIME) def test_county_map_date_update(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # navigate to cali map page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#county-map-nav', 1) dash_duo.wait_for_element('#county_map_div', timeout=TIMEOUT_TIME) #start date is updated to 11/01/2020 start_date_element = dash_duo.find_element('html > body > div > div > div:nth-of-type(3) > div > div > div:nth-of-type(2) > div:nth-of-type(2) > div > div > div > div:nth-of-type(1) > input') start_date_element.click() start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.BACKSPACE) start_date_element.send_keys(Keys.NUMPAD0) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.BACKSPACE) start_date_element.send_keys(Keys.NUMPAD1) # click away from the date widget dash_duo.multiple_click('#header', 1) # see the graphic update dash_duo.wait_for_element('#county_map_div', timeout=TIMEOUT_TIME) def test_county_pie_date_update(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # navigate to county map page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#county-map-nav', 1) dash_duo.wait_for_element('#county_pie_div', timeout=TIMEOUT_TIME) #start date is updated to 11/01/2020 start_date_element = dash_duo.find_element('html > body > div > div > div:nth-of-type(3) > div > div > div:nth-of-type(2) > div:nth-of-type(2) > div > div > div > div:nth-of-type(1) > input') start_date_element.click() start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.ARROW_RIGHT) start_date_element.send_keys(Keys.BACKSPACE) start_date_element.send_keys(Keys.NUMPAD0) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.ARROW_LEFT) start_date_element.send_keys(Keys.BACKSPACE) start_date_element.send_keys(Keys.NUMPAD1) # click away from the date widget dash_duo.multiple_click('#header', 1) # see the graphic update dash_duo.wait_for_element('#county_pie_div', timeout=TIMEOUT_TIME) def test_county_prediction(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # load page and navigate to page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#county-based-pred-nav', 1) dash_duo.wait_for_element('#pred', timeout=TIMEOUT_TIME) # find the elements to interact with month_picker_element = dash_duo.find_element('#month_slider') county_picker_element = dash_duo.find_element('#county_dropdown') # click month dash_duo.click_at_coord_fractions(month_picker_element, fx=0.3, fy=0.1) # click multiple counties action = ActionChains(dash_duo.driver) action.move_to_element(county_picker_element).click().move_by_offset(0, 50).click().pause(1).perform() action.move_to_element(county_picker_element).click().move_by_offset(0, 50).click().pause(1).perform() dash_duo.multiple_click('#header', 1) # see the graphic update dash_duo.wait_for_element('#pred_table', timeout=TIMEOUT_TIME) def test_location_prediction(dash_duo): app = import_app('src.app') dash_duo.start_server(app) dash_duo.driver.maximize_window() # load page and navigate to page dash_duo.wait_for_page(url=None, timeout=TIMEOUT_TIME) dash_duo.multiple_click('#geo-based-pred-nav', 1) dash_duo.wait_for_element('#map-id', timeout=TIMEOUT_TIME) # find the elements to interact with month_picker_element = dash_duo.find_element('#month_slider2') # click month dash_duo.click_at_coord_fractions(month_picker_element, fx=0.3, fy=0.1) # click multiple counties dash_duo.multiple_click('#map-id', 1) dash_duo.multiple_click('#header', 1) # see the graphic update dash_duo.wait_for_element('#th', timeout=TIMEOUT_TIME)

38.760956

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34259140541b99caec7d326d04e00f9361254840

33,409

py

Python

sdk/python/pulumi_google_native/cloudscheduler/v1beta1/_inputs.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

44

2021-04-18T23:00:48.000Z

2022-02-14T17:43:15.000Z

sdk/python/pulumi_google_native/cloudscheduler/v1beta1/_inputs.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

354

2021-04-16T16:48:39.000Z

2022-03-31T17:16:39.000Z

sdk/python/pulumi_google_native/cloudscheduler/v1beta1/_inputs.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

8

2021-04-24T17:46:51.000Z

2022-01-05T10:40:21.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities from ._enums import * __all__ = [ 'AppEngineHttpTargetArgs', 'AppEngineRoutingArgs', 'HttpTargetArgs', 'OAuthTokenArgs', 'OidcTokenArgs', 'PubsubTargetArgs', 'RetryConfigArgs', ] @pulumi.input_type class AppEngineHttpTargetArgs: def __init__(__self__, *, app_engine_routing: Optional[pulumi.Input['AppEngineRoutingArgs']] = None, body: Optional[pulumi.Input[str]] = None, headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, http_method: Optional[pulumi.Input['AppEngineHttpTargetHttpMethod']] = None, relative_uri: Optional[pulumi.Input[str]] = None): """ App Engine target. The job will be pushed to a job handler by means of an HTTP request via an http_method such as HTTP POST, HTTP GET, etc. The job is acknowledged by means of an HTTP response code in the range [200 - 299]. Error 503 is considered an App Engine system error instead of an application error. Requests returning error 503 will be retried regardless of retry configuration and not counted against retry counts. Any other response code, or a failure to receive a response before the deadline, constitutes a failed attempt. :param pulumi.Input['AppEngineRoutingArgs'] app_engine_routing: App Engine Routing setting for the job. :param pulumi.Input[str] body: Body. HTTP request body. A request body is allowed only if the HTTP method is POST or PUT. It will result in invalid argument error to set a body on a job with an incompatible HttpMethod. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] headers: HTTP request headers. This map contains the header field names and values. Headers can be set when the job is created. Cloud Scheduler sets some headers to default values: * `User-Agent`: By default, this header is `"AppEngine-Google; (+http://code.google.com/appengine)"`. This header can be modified, but Cloud Scheduler will append `"AppEngine-Google; (+http://code.google.com/appengine)"` to the modified `User-Agent`. * `X-CloudScheduler`: This header will be set to true. If the job has an body, Cloud Scheduler sets the following headers: * `Content-Type`: By default, the `Content-Type` header is set to `"application/octet-stream"`. The default can be overridden by explictly setting `Content-Type` to a particular media type when the job is created. For example, `Content-Type` can be set to `"application/json"`. * `Content-Length`: This is computed by Cloud Scheduler. This value is output only. It cannot be changed. The headers below are output only. They cannot be set or overridden: * `X-Google-*`: For Google internal use only. * `X-AppEngine-*`: For Google internal use only. In addition, some App Engine headers, which contain job-specific information, are also be sent to the job handler. :param pulumi.Input['AppEngineHttpTargetHttpMethod'] http_method: The HTTP method to use for the request. PATCH and OPTIONS are not permitted. :param pulumi.Input[str] relative_uri: The relative URI. The relative URL must begin with "/" and must be a valid HTTP relative URL. It can contain a path, query string arguments, and `#` fragments. If the relative URL is empty, then the root path "/" will be used. No spaces are allowed, and the maximum length allowed is 2083 characters. """ if app_engine_routing is not None: pulumi.set(__self__, "app_engine_routing", app_engine_routing) if body is not None: pulumi.set(__self__, "body", body) if headers is not None: pulumi.set(__self__, "headers", headers) if http_method is not None: pulumi.set(__self__, "http_method", http_method) if relative_uri is not None: pulumi.set(__self__, "relative_uri", relative_uri) @property @pulumi.getter(name="appEngineRouting") def app_engine_routing(self) -> Optional[pulumi.Input['AppEngineRoutingArgs']]: """ App Engine Routing setting for the job. """ return pulumi.get(self, "app_engine_routing") @app_engine_routing.setter def app_engine_routing(self, value: Optional[pulumi.Input['AppEngineRoutingArgs']]): pulumi.set(self, "app_engine_routing", value) @property @pulumi.getter def body(self) -> Optional[pulumi.Input[str]]: """ Body. HTTP request body. A request body is allowed only if the HTTP method is POST or PUT. It will result in invalid argument error to set a body on a job with an incompatible HttpMethod. """ return pulumi.get(self, "body") @body.setter def body(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "body", value) @property @pulumi.getter def headers(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ HTTP request headers. This map contains the header field names and values. Headers can be set when the job is created. Cloud Scheduler sets some headers to default values: * `User-Agent`: By default, this header is `"AppEngine-Google; (+http://code.google.com/appengine)"`. This header can be modified, but Cloud Scheduler will append `"AppEngine-Google; (+http://code.google.com/appengine)"` to the modified `User-Agent`. * `X-CloudScheduler`: This header will be set to true. If the job has an body, Cloud Scheduler sets the following headers: * `Content-Type`: By default, the `Content-Type` header is set to `"application/octet-stream"`. The default can be overridden by explictly setting `Content-Type` to a particular media type when the job is created. For example, `Content-Type` can be set to `"application/json"`. * `Content-Length`: This is computed by Cloud Scheduler. This value is output only. It cannot be changed. The headers below are output only. They cannot be set or overridden: * `X-Google-*`: For Google internal use only. * `X-AppEngine-*`: For Google internal use only. In addition, some App Engine headers, which contain job-specific information, are also be sent to the job handler. """ return pulumi.get(self, "headers") @headers.setter def headers(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "headers", value) @property @pulumi.getter(name="httpMethod") def http_method(self) -> Optional[pulumi.Input['AppEngineHttpTargetHttpMethod']]: """ The HTTP method to use for the request. PATCH and OPTIONS are not permitted. """ return pulumi.get(self, "http_method") @http_method.setter def http_method(self, value: Optional[pulumi.Input['AppEngineHttpTargetHttpMethod']]): pulumi.set(self, "http_method", value) @property @pulumi.getter(name="relativeUri") def relative_uri(self) -> Optional[pulumi.Input[str]]: """ The relative URI. The relative URL must begin with "/" and must be a valid HTTP relative URL. It can contain a path, query string arguments, and `#` fragments. If the relative URL is empty, then the root path "/" will be used. No spaces are allowed, and the maximum length allowed is 2083 characters. """ return pulumi.get(self, "relative_uri") @relative_uri.setter def relative_uri(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "relative_uri", value) @pulumi.input_type class AppEngineRoutingArgs: def __init__(__self__, *, instance: Optional[pulumi.Input[str]] = None, service: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None): """ App Engine Routing. For more information about services, versions, and instances see [An Overview of App Engine](https://cloud.google.com/appengine/docs/python/an-overview-of-app-engine), [Microservices Architecture on Google App Engine](https://cloud.google.com/appengine/docs/python/microservices-on-app-engine), [App Engine Standard request routing](https://cloud.google.com/appengine/docs/standard/python/how-requests-are-routed), and [App Engine Flex request routing](https://cloud.google.com/appengine/docs/flexible/python/how-requests-are-routed). :param pulumi.Input[str] instance: App instance. By default, the job is sent to an instance which is available when the job is attempted. Requests can only be sent to a specific instance if [manual scaling is used in App Engine Standard](https://cloud.google.com/appengine/docs/python/an-overview-of-app-engine?hl=en_US#scaling_types_and_instance_classes). App Engine Flex does not support instances. For more information, see [App Engine Standard request routing](https://cloud.google.com/appengine/docs/standard/python/how-requests-are-routed) and [App Engine Flex request routing](https://cloud.google.com/appengine/docs/flexible/python/how-requests-are-routed). :param pulumi.Input[str] service: App service. By default, the job is sent to the service which is the default service when the job is attempted. :param pulumi.Input[str] version: App version. By default, the job is sent to the version which is the default version when the job is attempted. """ if instance is not None: pulumi.set(__self__, "instance", instance) if service is not None: pulumi.set(__self__, "service", service) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter def instance(self) -> Optional[pulumi.Input[str]]: """ App instance. By default, the job is sent to an instance which is available when the job is attempted. Requests can only be sent to a specific instance if [manual scaling is used in App Engine Standard](https://cloud.google.com/appengine/docs/python/an-overview-of-app-engine?hl=en_US#scaling_types_and_instance_classes). App Engine Flex does not support instances. For more information, see [App Engine Standard request routing](https://cloud.google.com/appengine/docs/standard/python/how-requests-are-routed) and [App Engine Flex request routing](https://cloud.google.com/appengine/docs/flexible/python/how-requests-are-routed). """ return pulumi.get(self, "instance") @instance.setter def instance(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance", value) @property @pulumi.getter def service(self) -> Optional[pulumi.Input[str]]: """ App service. By default, the job is sent to the service which is the default service when the job is attempted. """ return pulumi.get(self, "service") @service.setter def service(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ App version. By default, the job is sent to the version which is the default version when the job is attempted. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @pulumi.input_type class HttpTargetArgs: def __init__(__self__, *, uri: pulumi.Input[str], body: Optional[pulumi.Input[str]] = None, headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, http_method: Optional[pulumi.Input['HttpTargetHttpMethod']] = None, oauth_token: Optional[pulumi.Input['OAuthTokenArgs']] = None, oidc_token: Optional[pulumi.Input['OidcTokenArgs']] = None): """ Http target. The job will be pushed to the job handler by means of an HTTP request via an http_method such as HTTP POST, HTTP GET, etc. The job is acknowledged by means of an HTTP response code in the range [200 - 299]. A failure to receive a response constitutes a failed execution. For a redirected request, the response returned by the redirected request is considered. :param pulumi.Input[str] uri: The full URI path that the request will be sent to. This string must begin with either "http://" or "https://". Some examples of valid values for uri are: `http://acme.com` and `https://acme.com/sales:8080`. Cloud Scheduler will encode some characters for safety and compatibility. The maximum allowed URL length is 2083 characters after encoding. :param pulumi.Input[str] body: HTTP request body. A request body is allowed only if the HTTP method is POST, PUT, or PATCH. It is an error to set body on a job with an incompatible HttpMethod. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] headers: The user can specify HTTP request headers to send with the job's HTTP request. This map contains the header field names and values. Repeated headers are not supported, but a header value can contain commas. These headers represent a subset of the headers that will accompany the job's HTTP request. Some HTTP request headers will be ignored or replaced. A partial list of headers that will be ignored or replaced is below: - Host: This will be computed by Cloud Scheduler and derived from uri. * `Content-Length`: This will be computed by Cloud Scheduler. * `User-Agent`: This will be set to `"Google-Cloud-Scheduler"`. * `X-Google-*`: Google internal use only. * `X-AppEngine-*`: Google internal use only. The total size of headers must be less than 80KB. :param pulumi.Input['HttpTargetHttpMethod'] http_method: Which HTTP method to use for the request. :param pulumi.Input['OAuthTokenArgs'] oauth_token: If specified, an [OAuth token](https://developers.google.com/identity/protocols/OAuth2) will be generated and attached as an `Authorization` header in the HTTP request. This type of authorization should generally only be used when calling Google APIs hosted on *.googleapis.com. :param pulumi.Input['OidcTokenArgs'] oidc_token: If specified, an [OIDC](https://developers.google.com/identity/protocols/OpenIDConnect) token will be generated and attached as an `Authorization` header in the HTTP request. This type of authorization can be used for many scenarios, including calling Cloud Run, or endpoints where you intend to validate the token yourself. """ pulumi.set(__self__, "uri", uri) if body is not None: pulumi.set(__self__, "body", body) if headers is not None: pulumi.set(__self__, "headers", headers) if http_method is not None: pulumi.set(__self__, "http_method", http_method) if oauth_token is not None: pulumi.set(__self__, "oauth_token", oauth_token) if oidc_token is not None: pulumi.set(__self__, "oidc_token", oidc_token) @property @pulumi.getter def uri(self) -> pulumi.Input[str]: """ The full URI path that the request will be sent to. This string must begin with either "http://" or "https://". Some examples of valid values for uri are: `http://acme.com` and `https://acme.com/sales:8080`. Cloud Scheduler will encode some characters for safety and compatibility. The maximum allowed URL length is 2083 characters after encoding. """ return pulumi.get(self, "uri") @uri.setter def uri(self, value: pulumi.Input[str]): pulumi.set(self, "uri", value) @property @pulumi.getter def body(self) -> Optional[pulumi.Input[str]]: """ HTTP request body. A request body is allowed only if the HTTP method is POST, PUT, or PATCH. It is an error to set body on a job with an incompatible HttpMethod. """ return pulumi.get(self, "body") @body.setter def body(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "body", value) @property @pulumi.getter def headers(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ The user can specify HTTP request headers to send with the job's HTTP request. This map contains the header field names and values. Repeated headers are not supported, but a header value can contain commas. These headers represent a subset of the headers that will accompany the job's HTTP request. Some HTTP request headers will be ignored or replaced. A partial list of headers that will be ignored or replaced is below: - Host: This will be computed by Cloud Scheduler and derived from uri. * `Content-Length`: This will be computed by Cloud Scheduler. * `User-Agent`: This will be set to `"Google-Cloud-Scheduler"`. * `X-Google-*`: Google internal use only. * `X-AppEngine-*`: Google internal use only. The total size of headers must be less than 80KB. """ return pulumi.get(self, "headers") @headers.setter def headers(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "headers", value) @property @pulumi.getter(name="httpMethod") def http_method(self) -> Optional[pulumi.Input['HttpTargetHttpMethod']]: """ Which HTTP method to use for the request. """ return pulumi.get(self, "http_method") @http_method.setter def http_method(self, value: Optional[pulumi.Input['HttpTargetHttpMethod']]): pulumi.set(self, "http_method", value) @property @pulumi.getter(name="oauthToken") def oauth_token(self) -> Optional[pulumi.Input['OAuthTokenArgs']]: """ If specified, an [OAuth token](https://developers.google.com/identity/protocols/OAuth2) will be generated and attached as an `Authorization` header in the HTTP request. This type of authorization should generally only be used when calling Google APIs hosted on *.googleapis.com. """ return pulumi.get(self, "oauth_token") @oauth_token.setter def oauth_token(self, value: Optional[pulumi.Input['OAuthTokenArgs']]): pulumi.set(self, "oauth_token", value) @property @pulumi.getter(name="oidcToken") def oidc_token(self) -> Optional[pulumi.Input['OidcTokenArgs']]: """ If specified, an [OIDC](https://developers.google.com/identity/protocols/OpenIDConnect) token will be generated and attached as an `Authorization` header in the HTTP request. This type of authorization can be used for many scenarios, including calling Cloud Run, or endpoints where you intend to validate the token yourself. """ return pulumi.get(self, "oidc_token") @oidc_token.setter def oidc_token(self, value: Optional[pulumi.Input['OidcTokenArgs']]): pulumi.set(self, "oidc_token", value) @pulumi.input_type class OAuthTokenArgs: def __init__(__self__, *, scope: Optional[pulumi.Input[str]] = None, service_account_email: Optional[pulumi.Input[str]] = None): """ Contains information needed for generating an [OAuth token](https://developers.google.com/identity/protocols/OAuth2). This type of authorization should generally only be used when calling Google APIs hosted on *.googleapis.com. :param pulumi.Input[str] scope: OAuth scope to be used for generating OAuth access token. If not specified, "https://www.googleapis.com/auth/cloud-platform" will be used. :param pulumi.Input[str] service_account_email: [Service account email](https://cloud.google.com/iam/docs/service-accounts) to be used for generating OAuth token. The service account must be within the same project as the job. The caller must have iam.serviceAccounts.actAs permission for the service account. """ if scope is not None: pulumi.set(__self__, "scope", scope) if service_account_email is not None: pulumi.set(__self__, "service_account_email", service_account_email) @property @pulumi.getter def scope(self) -> Optional[pulumi.Input[str]]: """ OAuth scope to be used for generating OAuth access token. If not specified, "https://www.googleapis.com/auth/cloud-platform" will be used. """ return pulumi.get(self, "scope") @scope.setter def scope(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scope", value) @property @pulumi.getter(name="serviceAccountEmail") def service_account_email(self) -> Optional[pulumi.Input[str]]: """ [Service account email](https://cloud.google.com/iam/docs/service-accounts) to be used for generating OAuth token. The service account must be within the same project as the job. The caller must have iam.serviceAccounts.actAs permission for the service account. """ return pulumi.get(self, "service_account_email") @service_account_email.setter def service_account_email(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_account_email", value) @pulumi.input_type class OidcTokenArgs: def __init__(__self__, *, audience: Optional[pulumi.Input[str]] = None, service_account_email: Optional[pulumi.Input[str]] = None): """ Contains information needed for generating an [OpenID Connect token](https://developers.google.com/identity/protocols/OpenIDConnect). This type of authorization can be used for many scenarios, including calling Cloud Run, or endpoints where you intend to validate the token yourself. :param pulumi.Input[str] audience: Audience to be used when generating OIDC token. If not specified, the URI specified in target will be used. :param pulumi.Input[str] service_account_email: [Service account email](https://cloud.google.com/iam/docs/service-accounts) to be used for generating OIDC token. The service account must be within the same project as the job. The caller must have iam.serviceAccounts.actAs permission for the service account. """ if audience is not None: pulumi.set(__self__, "audience", audience) if service_account_email is not None: pulumi.set(__self__, "service_account_email", service_account_email) @property @pulumi.getter def audience(self) -> Optional[pulumi.Input[str]]: """ Audience to be used when generating OIDC token. If not specified, the URI specified in target will be used. """ return pulumi.get(self, "audience") @audience.setter def audience(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "audience", value) @property @pulumi.getter(name="serviceAccountEmail") def service_account_email(self) -> Optional[pulumi.Input[str]]: """ [Service account email](https://cloud.google.com/iam/docs/service-accounts) to be used for generating OIDC token. The service account must be within the same project as the job. The caller must have iam.serviceAccounts.actAs permission for the service account. """ return pulumi.get(self, "service_account_email") @service_account_email.setter def service_account_email(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_account_email", value) @pulumi.input_type class PubsubTargetArgs: def __init__(__self__, *, topic_name: pulumi.Input[str], attributes: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, data: Optional[pulumi.Input[str]] = None): """ Pub/Sub target. The job will be delivered by publishing a message to the given Pub/Sub topic. :param pulumi.Input[str] topic_name: The name of the Cloud Pub/Sub topic to which messages will be published when a job is delivered. The topic name must be in the same format as required by PubSub's [PublishRequest.name](https://cloud.google.com/pubsub/docs/reference/rpc/google.pubsub.v1#publishrequest), for example `projects/PROJECT_ID/topics/TOPIC_ID`. The topic must be in the same project as the Cloud Scheduler job. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] attributes: Attributes for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. :param pulumi.Input[str] data: The message payload for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. """ pulumi.set(__self__, "topic_name", topic_name) if attributes is not None: pulumi.set(__self__, "attributes", attributes) if data is not None: pulumi.set(__self__, "data", data) @property @pulumi.getter(name="topicName") def topic_name(self) -> pulumi.Input[str]: """ The name of the Cloud Pub/Sub topic to which messages will be published when a job is delivered. The topic name must be in the same format as required by PubSub's [PublishRequest.name](https://cloud.google.com/pubsub/docs/reference/rpc/google.pubsub.v1#publishrequest), for example `projects/PROJECT_ID/topics/TOPIC_ID`. The topic must be in the same project as the Cloud Scheduler job. """ return pulumi.get(self, "topic_name") @topic_name.setter def topic_name(self, value: pulumi.Input[str]): pulumi.set(self, "topic_name", value) @property @pulumi.getter def attributes(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Attributes for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. """ return pulumi.get(self, "attributes") @attributes.setter def attributes(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "attributes", value) @property @pulumi.getter def data(self) -> Optional[pulumi.Input[str]]: """ The message payload for PubsubMessage. Pubsub message must contain either non-empty data, or at least one attribute. """ return pulumi.get(self, "data") @data.setter def data(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "data", value) @pulumi.input_type class RetryConfigArgs: def __init__(__self__, *, max_backoff_duration: Optional[pulumi.Input[str]] = None, max_doublings: Optional[pulumi.Input[int]] = None, max_retry_duration: Optional[pulumi.Input[str]] = None, min_backoff_duration: Optional[pulumi.Input[str]] = None, retry_count: Optional[pulumi.Input[int]] = None): """ Settings that determine the retry behavior. By default, if a job does not complete successfully (meaning that an acknowledgement is not received from the handler, then it will be retried with exponential backoff according to the settings in RetryConfig. :param pulumi.Input[str] max_backoff_duration: The maximum amount of time to wait before retrying a job after it fails. The default value of this field is 1 hour. :param pulumi.Input[int] max_doublings: The time between retries will double `max_doublings` times. A job's retry interval starts at min_backoff_duration, then doubles `max_doublings` times, then increases linearly, and finally retries at intervals of max_backoff_duration up to retry_count times. For example, if min_backoff_duration is 10s, max_backoff_duration is 300s, and `max_doublings` is 3, then the a job will first be retried in 10s. The retry interval will double three times, and then increase linearly by 2^3 * 10s. Finally, the job will retry at intervals of max_backoff_duration until the job has been attempted retry_count times. Thus, the requests will retry at 10s, 20s, 40s, 80s, 160s, 240s, 300s, 300s, .... The default value of this field is 5. :param pulumi.Input[str] max_retry_duration: The time limit for retrying a failed job, measured from time when an execution was first attempted. If specified with retry_count, the job will be retried until both limits are reached. The default value for max_retry_duration is zero, which means retry duration is unlimited. :param pulumi.Input[str] min_backoff_duration: The minimum amount of time to wait before retrying a job after it fails. The default value of this field is 5 seconds. :param pulumi.Input[int] retry_count: The number of attempts that the system will make to run a job using the exponential backoff procedure described by max_doublings. The default value of retry_count is zero. If retry_count is zero, a job attempt will *not* be retried if it fails. Instead the Cloud Scheduler system will wait for the next scheduled execution time. If retry_count is set to a non-zero number then Cloud Scheduler will retry failed attempts, using exponential backoff, retry_count times, or until the next scheduled execution time, whichever comes first. Values greater than 5 and negative values are not allowed. """ if max_backoff_duration is not None: pulumi.set(__self__, "max_backoff_duration", max_backoff_duration) if max_doublings is not None: pulumi.set(__self__, "max_doublings", max_doublings) if max_retry_duration is not None: pulumi.set(__self__, "max_retry_duration", max_retry_duration) if min_backoff_duration is not None: pulumi.set(__self__, "min_backoff_duration", min_backoff_duration) if retry_count is not None: pulumi.set(__self__, "retry_count", retry_count) @property @pulumi.getter(name="maxBackoffDuration") def max_backoff_duration(self) -> Optional[pulumi.Input[str]]: """ The maximum amount of time to wait before retrying a job after it fails. The default value of this field is 1 hour. """ return pulumi.get(self, "max_backoff_duration") @max_backoff_duration.setter def max_backoff_duration(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_backoff_duration", value) @property @pulumi.getter(name="maxDoublings") def max_doublings(self) -> Optional[pulumi.Input[int]]: """ The time between retries will double `max_doublings` times. A job's retry interval starts at min_backoff_duration, then doubles `max_doublings` times, then increases linearly, and finally retries at intervals of max_backoff_duration up to retry_count times. For example, if min_backoff_duration is 10s, max_backoff_duration is 300s, and `max_doublings` is 3, then the a job will first be retried in 10s. The retry interval will double three times, and then increase linearly by 2^3 * 10s. Finally, the job will retry at intervals of max_backoff_duration until the job has been attempted retry_count times. Thus, the requests will retry at 10s, 20s, 40s, 80s, 160s, 240s, 300s, 300s, .... The default value of this field is 5. """ return pulumi.get(self, "max_doublings") @max_doublings.setter def max_doublings(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_doublings", value) @property @pulumi.getter(name="maxRetryDuration") def max_retry_duration(self) -> Optional[pulumi.Input[str]]: """ The time limit for retrying a failed job, measured from time when an execution was first attempted. If specified with retry_count, the job will be retried until both limits are reached. The default value for max_retry_duration is zero, which means retry duration is unlimited. """ return pulumi.get(self, "max_retry_duration") @max_retry_duration.setter def max_retry_duration(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_retry_duration", value) @property @pulumi.getter(name="minBackoffDuration") def min_backoff_duration(self) -> Optional[pulumi.Input[str]]: """ The minimum amount of time to wait before retrying a job after it fails. The default value of this field is 5 seconds. """ return pulumi.get(self, "min_backoff_duration") @min_backoff_duration.setter def min_backoff_duration(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_backoff_duration", value) @property @pulumi.getter(name="retryCount") def retry_count(self) -> Optional[pulumi.Input[int]]: """ The number of attempts that the system will make to run a job using the exponential backoff procedure described by max_doublings. The default value of retry_count is zero. If retry_count is zero, a job attempt will *not* be retried if it fails. Instead the Cloud Scheduler system will wait for the next scheduled execution time. If retry_count is set to a non-zero number then Cloud Scheduler will retry failed attempts, using exponential backoff, retry_count times, or until the next scheduled execution time, whichever comes first. Values greater than 5 and negative values are not allowed. """ return pulumi.get(self, "retry_count") @retry_count.setter def retry_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "retry_count", value)

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1

0

1

0

null

0

1

0

9

ca9ea30d247f62cd5038b66f0c5e1d3632c6246e

76

py

Python

datasets/__init__.py

Lmy0217/PyTorch-GAN

fa6317f8ecffddeff88caccfbe9d581b2b0c342c

[ "MIT" ]

null

datasets/__init__.py

Lmy0217/PyTorch-GAN

fa6317f8ecffddeff88caccfbe9d581b2b0c342c

[ "MIT" ]

null

datasets/__init__.py

Lmy0217/PyTorch-GAN

fa6317f8ecffddeff88caccfbe9d581b2b0c342c

[ "MIT" ]

null

from .MI import * def forName(dataset_name): return eval(dataset_name)

15.2

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cae490f322f49127364451169c7ff079994e66dd

97

py

Python

profit/utils/training_utils/__init__.py

ayushkarnawat/profit

f3c4d601078b52513af6832c3faf75ddafc59ac5

[ "MIT" ]

null

profit/utils/training_utils/__init__.py

ayushkarnawat/profit

f3c4d601078b52513af6832c3faf75ddafc59ac5

[ "MIT" ]

1

2021-09-15T13:13:12.000Z

profit/utils/training_utils/__init__.py

ayushkarnawat/profit

f3c4d601078b52513af6832c3faf75ddafc59ac5

[ "MIT" ]

null

from profit.utils.training_utils import tensorflow from profit.utils.training_utils import torch

32.333333

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1b05357d379f2a04273ff96594a44ff475853501

362,591

py

Python

parser/team07/Proyecto/comprobadorTipos/nodoPosicion.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

35

2020-12-07T03:11:43.000Z

2021-04-15T17:38:16.000Z

parser/team07/Proyecto/comprobadorTipos/nodoPosicion.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

47

2020-12-09T01:29:09.000Z

2021-01-13T05:37:50.000Z

parser/team07/Proyecto/comprobadorTipos/nodoPosicion.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

556

2020-12-07T03:13:31.000Z

2021-06-17T17:41:10.000Z

from tabla_Simbolos import simbolo from tabla_Simbolos import tipoSimbolo from tabla_Simbolos import simboloColumna class NodoPosicion(): def __init__(self,fila,columna): self.fila = fila self.columna = columna self.tipoDatoResultado = None self.tipoOperacion = None def operar(self,tipoOperacion): if (self.fila == 0 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.smallInt) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.smallInt) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.smallInt) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.smallInt) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.smallInt) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.smallInt) return simb elif (self.fila == 0 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo Integer no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.integer) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif (self.fila == 0 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bigInt no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif (self.fila == 0 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 0 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 0 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 0 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 0 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 0 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores smallInt - varchar") return simb elif (self.fila == 0 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores smallInt - char") return simb elif (self.fila == 0 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores smallInt - text") return simb elif (self.fila == 0 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores smallInt - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores smallInt - date") return simb elif (self.fila == 0 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores smallInt - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores smallInt - withOut time zone") return simb elif (self.fila == 0 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores smallInt - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores smallInt - time with time zone") return simb elif (self.fila == 0 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores smallInt - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores smallInt - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo smallInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores smallInt - boolean") return simb # ******************************************************************************************** # ************************************* FILA 1 *********************************************** # #******************************************************************************************* if (self.fila == 1 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.integer) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.integer) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif (self.fila == 1 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.integer) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.integer) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.integer) return simb elif (self.fila == 1 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bigInt no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif (self.fila == 1 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 1 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 1 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 1 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 1 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores Integer - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 1 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores integer - varchar") return simb elif (self.fila == 1 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo Integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores integer - char") return simb elif (self.fila == 1 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores integer - text") return simb elif (self.fila == 1 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores integer - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores integer - date") return simb elif (self.fila == 1 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores integer - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores integer - withOut time zone") return simb elif (self.fila == 1 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores integer - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores integer - time with time zone") return simb elif (self.fila == 1 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores integer - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores integer - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo integer") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores integer - boolean") return simb # ******************************************************************************************** # ************************************* FILA 2 *********************************************** # #******************************************************************************************* if (self.fila == 2 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif (self.fila == 2 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif (self.fila == 2 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.bigInit) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.bigInit) return simb elif (self.fila == 2 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 2 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 2 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 2 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInit - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 2 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInit - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 2 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores bigInt - varchar") return simb elif (self.fila == 2 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores bigInt - char") return simb elif (self.fila == 2 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores bigInt - text") return simb elif (self.fila == 2 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores bigInt - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores bigInt - date") return simb elif (self.fila == 2 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores bigInt - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores bigInt - withOut time zone") return simb elif (self.fila == 2 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores bigInt - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores bigInt - time with time zone") return simb elif (self.fila == 2 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores bigInt - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores bigInt - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo bigInt") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores bigInt - boolean") return simb # ******************************************************************************************** # ************************************* FILA 3 *********************************************** # #******************************************************************************************* if (self.fila == 3 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 3 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 3 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 3 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 3 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 3 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.decimal) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.decimal) return simb elif (self.fila == 3 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 3 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 3 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores decimal - varchar") return simb elif (self.fila == 3 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores decimal - char") return simb elif (self.fila == 3 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores decimal - text") return simb elif (self.fila == 3 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores decimal - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores decimal - date") return simb elif (self.fila == 3 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores decimal - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores decimal - withOut time zone") return simb elif (self.fila == 3 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores decimal - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores decimal - time with time zone") return simb elif (self.fila == 3 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores decimal - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores decimal - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo decimal") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores decimal - boolean") return simb # ******************************************************************************************** # ************************************* FILA 4 *********************************************** # #******************************************************************************************* if (self.fila == 4 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 4 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 4 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 4 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 4 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.numeric) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.numeric) return simb elif (self.fila == 4 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 4 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 4 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 4 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores numeric - varchar") return simb elif (self.fila == 4 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores numeric - char") return simb elif (self.fila == 4 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores numeric - text") return simb elif (self.fila == 4 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores numeric - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores numeric - date") return simb elif (self.fila == 4 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores numeric - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores numeric - withOut time zone") return simb elif (self.fila == 4 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores bigInt - numeric with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores numeric - time with time zone") return simb elif (self.fila == 4 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores numeric - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores numeric - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores numeric - boolean") return simb # ******************************************************************************************** # ************************************* FILA 5 *********************************************** # #******************************************************************************************* if (self.fila == 5 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 5 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 5 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 5 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 5 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 5 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.real) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.real) return simb elif (self.fila == 5 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 5 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 5 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores real - varchar") return simb elif (self.fila == 5 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores real - char") return simb elif (self.fila == 5 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores real - text") return simb elif (self.fila == 5 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores real - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores real - date") return simb elif (self.fila == 5 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores real - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores real - withOut time zone") return simb elif (self.fila == 5 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores real - numeric with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo real") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores real - time with time zone") return simb elif (self.fila == 5 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores real - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores real - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna real numeric") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores real - boolean") return simb # ******************************************************************************************** # ************************************* FILA 6 *********************************************** # #******************************************************************************************* if (self.fila == 6 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores dobule - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.double_precision) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.double_precision) return simb elif (self.fila == 6 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 6 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores double - varchar") return simb elif (self.fila == 6 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores double - char") return simb elif (self.fila == 6 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores double - text") return simb elif (self.fila == 6 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores double - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores double - date") return simb elif (self.fila == 6 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - Time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores double - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores double - withOut time zone") return simb elif (self.fila == 6 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion == tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores double - numeric with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores double - time with time zone") return simb elif (self.fila == 6 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores double - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores double - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo double") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores double - boolean") return simb # ******************************************************************************************** # ************************************* FILA 7 *********************************************** # #******************************************************************************************* if (self.fila == 7 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - Integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.DIVISION: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 3): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 4): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 5): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 6): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 7): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) return simb else: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.money) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.money) return simb elif (self.fila == 7 and self.columna == 8): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores money - varchar") return simb elif (self.fila == 7 and self.columna == 9): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores money - char") return simb elif (self.fila == 7 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores money - text") return simb elif (self.fila == 7 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores money - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores money - date") return simb elif (self.fila == 7 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - Time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores money - withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma,resta, multiplicacion, division, potencia, modulo no pueden operar valores money - withOut time zone") return simb elif (self.fila == 7 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores money - numeric with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma,resta, multiplicacion, division, potencia, modulo no pueden operar valores money - time with time zone") return simb elif (self.fila == 7 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores money - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: >, >=, <, <=, == y <> no pueden operar valores money - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo money") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones:suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores money - boolean") return simb # ******************************************************************************************** # ************************************* FILA 8 *********************************************** # #******************************************************************************************* if (self.fila == 8 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - smallInt") return simb elif (self.fila == 8 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - integer") return simb elif (self.fila == 8 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bitInt no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores bigInt - smallInt") return simb elif (self.fila == 8 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - decimal") return simb elif (self.fila == 8 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - numeric") return simb elif (self.fila == 8 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - real") return simb elif (self.fila == 8 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - double") return simb elif (self.fila == 8 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: >, >=, <, <=, ==, <> no puede operar varlos varchar - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - money") return simb elif (self.fila == 8 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - varchar") return simb elif (self.fila == 8 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - char") return simb elif (self.fila == 8 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.varchar) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.varchar) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - text") return simb elif (self.fila == 8 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures varchar - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - date") return simb elif (self.fila == 8 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures varchar - time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - time withOut time zone") return simb elif (self.fila == 8 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures varchar - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - varchar") return simb elif (self.fila == 8 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores varchar - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures varchar - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo varchar") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores varchar - boolean") return simb # ******************************************************************************************** # ************************************* FILA 9 *********************************************** # #******************************************************************************************* if (self.fila == 9 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - smallInt") return simb elif (self.fila == 9 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - integer") return simb elif (self.fila == 9 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bitInt no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - smallInt") return simb elif (self.fila == 9 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - decimal") return simb elif (self.fila == 9 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - numeric") return simb elif (self.fila == 9 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - real") return simb elif (self.fila == 9 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - double") return simb elif (self.fila == 9 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: >, >=, <, <=, ==, <> no puede operar varlos char - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - money") return simb elif (self.fila == 9 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - varchar") return simb elif (self.fila == 9 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - char") return simb elif (self.fila == 9 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.character) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.character) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores char - text") return simb elif (self.fila == 9 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures char - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores char - date") return simb elif (self.fila == 9 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures char - time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores char - time withOut time zone") return simb elif (self.fila == 9 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures char - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - char") return simb elif (self.fila == 9 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores char - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures char - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo char") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores char - boolean") return simb # ******************************************************************************************** # ************************************* FILA 10 *********************************************** # #******************************************************************************************* if (self.fila == 10 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - smallInt") return simb elif (self.fila == 10 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - integer") return simb elif (self.fila == 10 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bitInt no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - smallInt") return simb elif (self.fila == 10 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - decimal") return simb elif (self.fila == 10 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - numeric") return simb elif (self.fila == 10 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - real") return simb elif (self.fila == 10 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - double") return simb elif (self.fila == 10 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: >, >=, <, <=, ==, <> no puede operar varlos text - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - money") return simb elif (self.fila == 10 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - varchar") return simb elif (self.fila == 10 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - char") return simb elif (self.fila == 10 and self.columna == 10): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.SUMA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.text) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.text) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: resta, multiplicacion, division, potencia, modulo no pueden operar valores text - text") return simb elif (self.fila == 10 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures text - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores text - date") return simb elif (self.fila == 10 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures text - time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores text - time withOut time zone") return simb elif (self.fila == 10 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures text - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time text - with time zone ") return simb elif (self.fila == 10 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores text - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures text - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo text") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores text - boolean") return simb # ******************************************************************************************** # ************************************* FILA 11 *********************************************** # #******************************************************************************************* if (self.fila == 11 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - smallInt") return simb elif (self.fila == 11 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - integer") return simb elif (self.fila == 11 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - bigInit") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - bigInit") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bigInit no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - bigInit") return simb elif (self.fila == 11 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - decimal") return simb elif (self.fila == 11 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - numeric") return simb elif (self.fila == 11 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - real") return simb elif (self.fila == 11 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores date - double") return simb elif (self.fila == 11 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores date - money") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - money") return simb elif (self.fila == 11 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores date - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - varchar") return simb elif (self.fila == 11 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores date - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - char") return simb elif (self.fila == 11 and self.columna == 10): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - text") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores date - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - text") return simb elif (self.fila == 11 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.date) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.date) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - date") return simb elif (self.fila == 11 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures date - time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - time withOut time zone") return simb elif (self.fila == 11 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores date - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time date - with time zone ") return simb elif (self.fila == 11 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores date - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores date - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo date") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores date - boolean") return simb # ******************************************************************************************** # ************************************* FILA 12 *********************************************** # #******************************************************************************************* if (self.fila == 12 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - smallInt") return simb elif (self.fila == 12 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - integer") return simb elif (self.fila == 12 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - bigInit") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - bigInit") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bigInit no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - bigInit") return simb elif (self.fila == 12 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - decimal") return simb elif (self.fila == 12 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - numeric") return simb elif (self.fila == 12 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - real") return simb elif (self.fila == 12 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - double") return simb elif (self.fila == 12 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time withOut time zone - money") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - money") return simb elif (self.fila == 12 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time withOut time out - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - varchar") return simb elif (self.fila == 12 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time withOut time zone - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - char") return simb elif (self.fila == 12 and self.columna == 10): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut - text") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time withOut time zone - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - text") return simb elif (self.fila == 12 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures time withOut time zone - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - date") return simb elif (self.fila == 12 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - time withOut time zone") return simb elif (self.fila == 12 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time withOut time zone - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_No_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_No_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - time with time zone") return simb elif (self.fila == 12 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time wtihOut time zone - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time withOut time zone - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo time withOut time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time withOut time zone - boolean") return simb # ******************************************************************************************** # ************************************* FILA 13 *********************************************** # #******************************************************************************************* if (self.fila == 13 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - smallInt") return simb elif (self.fila == 13 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - integer") return simb elif (self.fila == 13 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - bigInit") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - bigInit") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bigInit no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - bigInit") return simb elif (self.fila == 13 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - decimal") return simb elif (self.fila == 13 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - numeric") return simb elif (self.fila == 13 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - real") return simb elif (self.fila == 13 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.SUMA or tipoOperacion==tipoSimbolo.TipoSimbolo.RESTA: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - double") return simb elif (self.fila == 13 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time zone - money") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - money") return simb elif (self.fila == 13 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time with time out - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - varchar") return simb elif (self.fila == 13 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time with time zone - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - char") return simb elif (self.fila == 13 and self.columna == 10): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with - text") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time with time zone - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - text") return simb elif (self.fila == 13 and self.columna == 11): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valures time with time zone - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - date") return simb elif (self.fila == 13 and self.columna == 12): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones <, <=, >, >=, == , <> no pueden operar valores time with time zone - time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - time withOut time zone") return simb elif (self.fila == 13 and self.columna == 13): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.time_si_zone) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.time_si_zone) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - time with time zone") return simb elif (self.fila == 13 and self.columna == 14): if(tipoSimbolo==tipoSimbolo.TipoSimbolo.AND or tipoSimbolo==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time zone - boolean") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones: <, <=, >, >=, ==, <> no pueden operar valores time with time zone - boolean") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo boolean no puede ser contenido dentro de una columna tipo time with time zone") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores time with time zone - boolean") return simb # ******************************************************************************************** # ************************************* FILA 14 *********************************************** # #******************************************************************************************* if (self.fila == 14 and self.columna == 0): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - smallInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - smallInt") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo smallInt no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - smallInt") return simb elif (self.fila == 14 and self.columna == 1): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - integer") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - integer") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo integer no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - integer") return simb elif (self.fila == 14 and self.columna == 2): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - bigInt") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - bigInt") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo bigInit no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - bigInt") return simb elif (self.fila == 14 and self.columna == 3): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - decimal") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - decimal") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo decimal no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - decimal") return simb elif (self.fila == 14 and self.columna == 4): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - numeric") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - numericc") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo numeric no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - numeric") return simb elif (self.fila == 14 and self.columna == 5): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - real") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - real") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo real no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - real") return simb elif (self.fila == 14 and self.columna == 6): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - double") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - double") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo double no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - double") return simb elif (self.fila == 14 and self.columna == 7): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - money") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - money") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo money no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - money") return simb elif (self.fila == 14 and self.columna == 8): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - varchar") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - varchar") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo varchar no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean- varchar") return simb elif (self.fila == 14 and self.columna == 9): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - char") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - char") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo char no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - char") return simb elif (self.fila == 14 and self.columna == 10): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - text") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - text") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo text no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - text") return simb elif (self.fila == 14 and self.columna == 11): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - date") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - date") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo date no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - date") return simb elif (self.fila == 14 and self.columna == 12): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - time withOut time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - time withOut time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time withOut time zone no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - time withOut time zone") return simb elif (self.fila == 14 and self.columna == 13): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setDescripcionError("Las operaciones And, Or no pueden operar valores time with time boolean - time with time zone") return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setDescripcionError("La operacion: <, <=, >, >=, ==, <> no puede operar valores time with time boolean - time with time zone") return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setDescripcionError("Valor tipo time with time zone no puede ser contenido dentro de una columna tipo time with time boolean") return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - time with time zone") return simb elif (self.fila == 14 and self.columna == 14): if(tipoOperacion==tipoSimbolo.TipoSimbolo.AND or tipoOperacion==tipoSimbolo.TipoSimbolo.OR): simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.boolean) return simb elif tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.MAYOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_QUE or tipoOperacion==tipoSimbolo.TipoSimbolo.MENOR_IGUAL or tipoOperacion==tipoSimbolo.TipoSimbolo.IGUALACION or tipoOperacion==tipoSimbolo.TipoSimbolo.DISTINTO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.boolean) return simb elif tipoOperacion == tipoSimbolo.TipoSimbolo.COLUMNA_DATO: simb = simbolo.Simbolo() simb.setTipoDatoRetorno(simboloColumna.TiposDatos.boolean) simb.setTipoDatosCasteo(simboloColumna.TiposDatos.boolean) return simb else: simb = simbolo.Simbolo() simb.setDescripcionError("La operaciones: suma, resta, multiplicacion, division, potencia, modulo no pueden operar valores boolean - boolean") return simb else: return None

74.119174

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0.292949

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0.984776

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0.272445

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331

74.134328

0.878073

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0.810915

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1

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1

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null

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10

1b0e520c702425e966de423964e3f4834ea7de32

53,896

py

Python

notebooks/Compare results_physiology.py

patrickmineault/brain-scorer

5e882bafb323ff58028ade2394d18176e6c02e80

[ "MIT" ]

7

2021-07-22T02:19:14.000Z

2022-02-21T15:07:35.000Z

notebooks/Compare results_physiology.py

patrickmineault/your-head-is-there-to-move-you-around

5e882bafb323ff58028ade2394d18176e6c02e80

[ "MIT" ]

null

notebooks/Compare results_physiology.py

patrickmineault/your-head-is-there-to-move-you-around

5e882bafb323ff58028ade2394d18176e6c02e80

[ "MIT" ]

2

2021-07-22T02:27:17.000Z

2022-03-21T02:08:42.000Z

# --- # jupyter: # jupytext: # formats: ipynb,py:percent # text_representation: # extension: .py # format_name: percent # format_version: '1.3' # jupytext_version: 1.13.0 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # %% [markdown] # # Core table of results # %% import collections import numpy as np import pickle import torch from tqdm import tqdm import wandb import sys sys.path.append('../') import models import matplotlib.pyplot as plt import numpy as np import pandas as pd from python_dict_wrapper import wrap import torch import seaborn as sns import matplotlib matplotlib.rcParams["font.family"] = "Arial" matplotlib.rcParams['font.sans-serif'] = "Arial" sns.set(font="Arial", style="ticks") # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample"}, {"config.pca": 500}, {"state": "finished"}, ] } ) archives = {} # Obtained using Sahani and Linden (2001) estimator maxr2 = {'pvc1-repeats': np.array([0.5744896820822633, 0.402217859192537, 0.0724421977946134, 0.6354586579714803, 0.9058806806864625, 0.8336628618135512, 0.17459746284283278, 0.06161188996050254, 0.8174059944033387, 0.06870710384497566, 0.42338794910123256, -0.018763251412587834, 0.5083599168053451, 0.015472472397394084, 0.3707145547472778, 0.37212756865521673, 0.20308082812019865, 0.6502611134346646, 0.5865097550973541, 0.8000969058326385, 0.19490149480742838, 0.16097380666220693, 0.35043086612449575]), 'mst_norm_neutralbg': np.array([0.9238747684974108, 0.6333767821204601, 0.7837951303681188, 0.5308424287543246, 0.6260003702050283, 0.1227297633207262, -0.008784291339639153, 0.969760707867131, 0.969760707867131, 0.934727465911976, 0.7529227717733953, 0.5552180843492884, 0.9697541232379692, 0.9697541232379692, 0.9568011354583447, 0.8665498339085808, 0.9760604082608981, 0.8886188901104971, 0.939593861110838, 0.7750084758128198, 0.8745374754975368, 0.31508570581933376, 0.7633260217238106, 0.42445345198910983, 0.37880214350624575, 0.7589317052993544, 0.8804914772347142, 0.6289593364765851, 0.8682772295743525, 0.953022447487612, 0.6817736539099156, 0.7436142187949378, 0.7436142187949378, 0.6583185135218004, -0.24862120717043004, 0.7360928676249001])} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } # %% [markdown] # Normalize names. # %% families = {'I3D': 'SlowFast', 'MotionNet': 'control', 'SlowFast_Fast': 'SlowFast', 'SlowFast_Slow': 'SlowFast', 'Slow': 'SlowFast', 'Slow': 'SlowFast', 'gaborpyramid3d': 'shallow', 'gaborpyramid3d_motionless': 'control', 'r3d_18': 'r3d', 'mc3_18': 'r3d', 'r2plus1d_18': 'r3d', 'ShallowMonkeyNet_pvc1': 'dorsalnets', 'ShallowMonkeyNet_pvc4': 'dorsalnets', 'resnet18': 'control', 'ShiftNet': 'control', 'V1Net': 'dorsalnets', 'dorsalnet': 'dorsalnets', 'airsim_00': 'dorsalnets', 'airsim_02': 'dorsalnets', 'airsim_03': 'dorsalnets', 'airsim_04': 'dorsalnets', 'cpc': 'control', 'cpc_01': 'control', 'cpc_02': 'control'} friendly_names = {'I3D': 'i3d', 'MotionNet': 'motionnet', 'SlowFast_Fast': 'slowfast', 'SlowFast_Slow': 'slowfast_slow', 'Slow': 'slow', 'gaborpyramid3d': 'gaborpyramid3d', 'gaborpyramid3d_motionless': 'gaborpyramid3d_motionless', 'r3d_18': 'r3d_18', 'mc3_18': 'mc3_18', 'r2plus1d_18': 'r2plus1d_18', 'ShallowMonkeyNet_pvc1': 'ShallowMonkeyNet_pvc1', 'ShallowMonkeyNet_pvc4': 'ShallowMonkeyNet_pvc4', 'resnet18': 'resnet18', 'ShiftNet': 'ShiftNet', 'V1Net': 'V1Net', 'dorsalnet': 'dorsalnets', 'airsim_00': 'dorsalnets', 'airsim_02': 'dorsalnets', 'airsim_03': 'dorsalnets', 'airsim_04': 'dorsalnet', 'cpc': 'cpc', 'cpc_01': 'cpc_airsim', 'cpc_02': 'cpc_ucf'} whitelist = { 'i3d': [0, 1, 2, 4, 6, 8], 'slowfast': [0, 1, 2, 4, 6, 8], 'motionnet': [0, 1], 'gaborpyramid3d_motionless': [0], 'gaborpyramid3d': [0], 'mc3_18': [0, 1, 2, 4, 6, 8, 10, 12], 'r2plus1d_18': [0, 1, 2, 4, 6, 8, 10, 12], 'r3d_18': [0, 1, 2, 4, 6, 8, 10, 12], 'cpc_airsim': [0, 1, 2, 4, 6, 8, 10, 12], 'cpc_ucf': [0, 1, 2, 4, 6, 8, 10, 12], 'dorsalnet': [0, 1, 2, 3, 4, 5], } dataset_names = { "pvc1-repeats": "pvc1", "pvc4": "pvc4", "mt1_norm_neutralbg": "mt1", "mt2": "mt2", "mst_norm_neutralbg": "mst" } results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': friendly_name, 'layer': layer_num, 'features_layer': f"{friendly_name}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer'), right_on=('dataset', 'features', 'layer'), suffixes=('', '_overall')) df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] df.groupby(['dataset', 'subset_overall']).first() # %% [markdown] # # Key measurements table # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') models = ['slowfast', 'i3d', 'r3d_18', 'r2plus1d_18', 'mc3_18', 'cpc_ucf', 'cpc_airsim', 'gaborpyramid3d_motionless', 'gaborpyramid3d', 'motionnet', 'dorsalnet'] datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_m = df_m[datasets].loc[models] df_s = df_s[datasets].loc[models] df_z = df_z[datasets].loc[models] the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 1)}}}\n\\toprule \n" the_str += '{} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.replace('_', '\_')] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})"[1:]) else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join(vals) + '\\\\\n' the_str += "\end{tabular}\n" print(the_str) # %% import scipy.stats zvals = pd.DataFrame(2*scipy.stats.norm.cdf(df_z)) zvals.columns = df_z.columns zvals.index = df_z.index zvals # %% datasets = df.dataset.unique() perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') best_layer = df_m.idxmax(axis=1) good_combos = [f'{x}_{y:02}' for x, y in zip(best_layer.index, best_layer.values)] df_ = df_[df_.features_layer.isin(good_combos)] df_ = df_.pivot_table('rnorm', 'subset', 'features') plt.figure() g = sns.scatterplot(x='motionnet', y='dorsalnet', data=df_, ax=plt.gca()) g.plot([-1, 1], [-1, 1], 'k-') plt.axis('square') g.set_xlim([-.05, .8]) g.set_ylim([-.05, .8]) plt.title(dataset) nbetter = (df_.dorsalnet > df_.motionnet).sum() ntotal = df_.shape[0] print(f"{dataset}, cells better {nbetter}/{ntotal}") # %% [markdown] # # Bump plot # Show the alignment of each area to dorsalnet layers. # %% df.dataset.unique() # %% dmap = {'mst': 'mst', 'mt1': 'mt', 'mt2': 'mt', 'pvc1': 'v1', 'pvc4': 'v1'} df['area'] = df.dataset.map(lambda x: dmap[x]) df_ = df.query('features == "dorsalnet"') df_.groupby(['area', 'layer']).rnorm.mean() def bs(df): df = df.copy() idx = np.random.randint(0, df.shape[0], df.shape[0]) df_ = df.iloc[idx] the_max = df_.groupby(['area', 'layer']).rnorm.mean().groupby('area').max() df_ = df_.groupby(['area', 'layer']).rnorm.mean() / the_max return df_ dmap = {'pvc1': 'v1', 'pvc4': 'v1', 'mt1': 'mt', 'mt2': 'mt', 'mst': 'mst'} df['area'] = df.dataset.map(lambda x: dmap[x]) df_ = df.query('features == "dorsalnet"') df_ = df_.sort_values('area', ascending=True) df_['rnorm_max'] = df_.rnorm A = np.array([bs(df_).values for x in range(500)]) df__ = pd.DataFrame(A.T) df__.index = bs(df_).index plt.figure(figsize=(4, 3)) plt.figure(figsize=(4, 3)) for area in ['v1', 'mt', 'mst']: vals = np.quantile(df__.loc[area], [.05, .95, .5], axis=1).T plt.fill_between(df__.loc[area].index, vals[:, 0], vals[:, 1], alpha=.2) plt.plot(df__.loc[area].index, vals[:, 2]) sns.despine() plt.xlabel('layer') plt.ylabel('R relative to maximum for area') plt.yticks([0, .2, .4, .6, .8, 1.0]) cols = sns.color_palette(as_cmap=True) for i, area in enumerate(['v1', 'mt', 'mst']): df_ = df.query(f'report_corr > .01 and features == "dorsalnet" and area == "{area}"') df_['dataset_subset'] = df_.dataset + '_' + df_.subset.astype(np.str) v = df_.pivot('dataset_subset', 'layer', 'rnorm').values vals = [] for n in range(10000): v_ = v[np.random.randint(low=0, high=v.shape[0], size=v.shape[0]), :].argmax(axis=1)#mean(axis=0) #cs = CubicSpline(np.arange(6), v_) #xs = np.linspace(0, 5) vals.append(v_.mean()) print(np.mean(vals)) print(np.std(vals)) q = np.quantile(vals, [.025, .975]) plt.plot(q, (.2 + .1*i) * np.array([1, 1]), color=g.lines[2-i].get_color()) plt.text((q[0] + q[1])/2, .225 + .1*i, area, {'ha': 'center'}) print(np.quantile(vals, [.025, .5, .975])) plt.ylim([0, 1.05]) plt.savefig('/home/pmin/paper-assets/figure-2-layer-alignment.pdf', bbox_inches='tight') # %% dmap = {'pvc1': 'v1', 'pvc4': 'v1', 'mt1': 'mt', 'mt2': 'mt', 'mst': 'mst'} df['area'] = df.dataset.map(lambda x: dmap[x]) df_ = df.query('features == "dorsalnet"') df_ = df_.sort_values('area', ascending=True) df_['rnorm_max'] = df_.rnorm df_.loc[df_.area == 'v1', 'rnorm_max'] /= .3618 df_.loc[df_.area == 'mt', 'rnorm_max'] /= .2954 df_.loc[df_.area == 'mst', 'rnorm_max'] /= .4540 plt.figure(figsize=(4, 3)) g = sns.lineplot(x='layer', y='rnorm_max', hue='area', palette="Set2", data=df_, legend=False, ax=plt.gca()) sns.despine() #plt.legend(loc='upper right', fancybox=None, frameon=False, bbox_to_anchor=(0.,.3, 1.0, .105)) plt.ylabel('R relative to maximum for area') plt.yticks([0, .2, .4, .6, .8, 1.0]) cols = sns.color_palette(as_cmap=True) for i, area in enumerate(['v1', 'mt', 'mst']): df_ = df.query(f'report_corr > .01 and features == "dorsalnet" and area == "{area}"') df_['dataset_subset'] = df_.dataset + '_' + df_.subset.astype(np.str) v = df_.pivot('dataset_subset', 'layer', 'rnorm').values vals = [] for n in range(10000): v_ = v[np.random.randint(low=0, high=v.shape[0], size=v.shape[0]), :].argmax(axis=1)#mean(axis=0) #cs = CubicSpline(np.arange(6), v_) #xs = np.linspace(0, 5) vals.append(v_.mean()) print(np.mean(vals)) print(np.std(vals)) q = np.quantile(vals, [.025, .975]) plt.plot(q, (.2 + .1*i) * np.array([1, 1]), color=g.lines[2-i].get_color()) plt.text((q[0] + q[1])/2, .225 + .1*i, area, {'ha': 'center'}) print(np.quantile(vals, [.025, .5, .975])) plt.ylim([0, 1.2]) #plt.savefig('/home/pmin/paper-assets/figure-2-layer-alignment.pdf', bbox_inches='tight') # %% [markdown] # # Sparse regression # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample"}, {"config.pca": -1}, {"config.method": "boosting"}, {"state": "finished"}, ] } ) archives = {} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } # %% results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue if v['corrs_report'][0] is None: # This happens when boosting chooses no v['corrs_report'][0] = 0.0 results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': friendly_name, 'layer': layer_num, 'features_layer': f"{friendly_name}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer'), right_on=('dataset', 'features', 'layer'), suffixes=('', '_overall')) df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] #df.query('dataset == "mst"').groupby('features_layer').mean() #df.query('features == "dorsalnet"') nums # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') models = ['motionnet', 'dorsalnet'] datasets = ['mt1', 'mt2', 'mst'] df_m = df_m[datasets].loc[models] df_s = df_s[datasets].loc[models] df_z = df_z[datasets].loc[models] the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 1)}}}\n\\toprule \n" the_str += '{} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.replace('_', '\_')] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})"[1:]) else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join(vals) + '\\\\\n' the_str += "\end{tabular}\n" print(the_str) # %% import scipy.stats zvals = pd.DataFrame(2*scipy.stats.norm.cdf(df_z)) zvals.columns = df_z.columns zvals.index = df_z.index zvals # %% datasets = df.dataset.unique() perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') best_layer = df_m.idxmax(axis=1) good_combos = [f'{x}_{y:02}' for x, y in zip(best_layer.index, best_layer.values)] df_ = df_[df_.features_layer.isin(good_combos)] df_ = df_.pivot_table('rnorm', 'subset', 'features') plt.figure() g = sns.scatterplot(x='motionnet', y='dorsalnet', data=df_, ax=plt.gca()) g.plot([-1, 1], [-1, 1], 'k-') plt.axis('square') g.set_xlim([-.05, .8]) g.set_ylim([-.05, .8]) plt.title(dataset) nbetter = (df_.dorsalnet > df_.motionnet).sum() ntotal = df_.shape[0] print(f"{dataset}, cells better {nbetter}/{ntotal}") # %% [markdown] # # Present CKA results # %% import numpy as np import matplotlib.pyplot as plt import seaborn as sns A = np.load('../cka.npy') plt.figure(figsize=(5, 4)) f = sns.heatmap(A[:-1, :-1], annot=True) plt.xlabel('layer') plt.ylabel('layer') plt.title('CKA across layers of DorsalNet') plt.ylim([0, 6]) plt.savefig('../revision/cka.pdf') # %% [markdown] tags=[] # # Bump plots # # Calculate bump plots for alignment between area and layer across all relative scalings of the data # %% import collections import numpy as np import pickle import torch from tqdm import tqdm import wandb import sys sys.path.append('../') import models import matplotlib.pyplot as plt import numpy as np import pandas as pd from python_dict_wrapper import wrap import torch import seaborn as sns import matplotlib matplotlib.rcParams["font.family"] = "Arial" matplotlib.rcParams['font.sans-serif'] = "Arial" sns.set(font="Arial", style="ticks") # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample"}, {"config.pca": 500}, {"config.features": {"$in": ["airsim_04", "MotionNet"]}}, {"state": "finished"}, ] } ) archives = {} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' sz = 112 if 'resize' in run.config: sz = run.config['resize'] unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}_{sz}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue if v['corrs_report'][0] is None: # This happens when boosting chooses no v['corrs_report'][0] = 0.0 sz = 112 if 'resize' in v['config']: sz = v['config']['resize'] results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': friendly_name, 'layer': layer_num, 'features_layer': f"{friendly_name}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'scale': round((sz / 112) * 100) / 100, 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer', 'scale']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer', 'scale'), right_on=('dataset', 'features', 'layer', 'scale'), suffixes=('', '_overall')) df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] #df.query('dataset == "mst"').groupby('features_layer').mean() #df.query('features == "dorsalnet"') nums for ratio in [0.66, 1.0, 1.5]: def bs(df): df = df.copy() idx = np.random.randint(0, df.shape[0], df.shape[0]) df_ = df.iloc[idx] the_max = df_.groupby(['area', 'layer']).rnorm.mean().groupby('area').max() df_ = df_.groupby(['area', 'layer']).rnorm.mean() / the_max return df_ dmap = {'pvc1': 'v1', 'pvc4': 'v1', 'mt1': 'mt', 'mt2': 'mt', 'mst': 'mst'} df['area'] = df.dataset.map(lambda x: dmap[x]) df_ = df.query(f'features == "dorsalnet" and scale == {ratio}') df_ = df_.sort_values('area', ascending=True) df_['rnorm_max'] = df_.rnorm A = np.array([bs(df_).values for x in range(500)]) df__ = pd.DataFrame(A.T) df__.index = bs(df_).index plt.figure(figsize=(4, 3)) #g = sns.lineplot(x='layer', # y='rnorm_max', # hue='area', # palette="Set2", # data=df_, legend=False, ax=plt.gca()) #np.quantile(A, [.025, .0975], axis=0) plt.figure(figsize=(4, 3)) lines = [] for area in ['v1', 'mt', 'mst']: vals = np.quantile(df__.loc[area], [.05, .95, .5], axis=1).T plt.fill_between(df__.loc[area].index, vals[:, 0], vals[:, 1], alpha=.2) lines.append(plt.plot(df__.loc[area].index, vals[:, 2])) sns.despine() plt.xlabel('layer') plt.ylabel('R relative to maximum for area') plt.yticks([0, .2, .4, .6, .8, 1.0]) cols = sns.color_palette(as_cmap=True) for i, area in enumerate(['v1', 'mt', 'mst']): df_ = df.query(f'report_corr > .01 and features == "dorsalnet" and area == "{area}" and scale == {ratio}') df_['dataset_subset'] = df_.dataset + '_' + df_.subset.astype(np.str) v = df_.pivot('dataset_subset', 'layer', 'rnorm').values vals = [] for n in range(10000): v_ = v[np.random.randint(low=0, high=v.shape[0], size=v.shape[0]), :].argmax(axis=1)#mean(axis=0) #cs = CubicSpline(np.arange(6), v_) #xs = np.linspace(0, 5) vals.append(v_.mean()) print(np.mean(vals)) print(np.std(vals)) q = np.quantile(vals, [.025, .975]) plt.plot(q, (.2 + .1*i) * np.array([1, 1]), color=lines[i][0].get_color()) plt.text((q[0] + q[1])/2, .225 + .1*i, area, {'ha': 'center'}) print(np.quantile(vals, [.025, .5, .975])) plt.ylim([0, 1.05]) plt.title(f'Scaled {ratio}X') plt.savefig(f'/home/pmin/paper-assets/figure-2-layer-alignment-rescaled-{ratio}.pdf', bbox_inches='tight') plt.savefig(f'/home/pmin/paper-assets/figure-2-layer-alignment-rescaled-{ratio}.png', bbox_inches='tight') # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() for ratio in [0.66, 1.0, 1.5]: perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}" and scale == {ratio}') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') models = ['motionnet', 'dorsalnet'] datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_m = df_m[datasets].loc[models] df_s = df_s[datasets].loc[models] df_z = df_z[datasets].loc[models] the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 1)}}}\n\\toprule \n" the_str += '{} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.replace('_', '\_')] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})") else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join([x.replace('0.', '.') for x in vals]) + '\\\\\n' the_str += "\end{tabular}\n" print(the_str) # %% [markdown] # # Resizing, with regression # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample"}, {"config.pca": 500}, {"config.features": {"$in": ["airsim_04", "MotionNet"]}}, {"state": "finished"}, ] } ) archives = {} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' sz = 112 if 'resize' in run.config: sz = run.config['resize'] unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}_{sz}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } # %% results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue if v['corrs_report'][0] is None: # This happens when boosting chooses no v['corrs_report'][0] = 0.0 sz = 112 if 'resize' in v['config']: sz = v['config']['resize'] scale = f"{round((sz / 112) * 100) / 100:.2f}" results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': f"{friendly_name}_{scale}", 'layer': layer_num, 'features_layer': f"{friendly_name}_{scale}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer'), right_on=('dataset', 'features', 'layer'), suffixes=('', '_overall')) df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] #df.query('dataset == "mst"').groupby('features_layer').mean() #df.query('features == "dorsalnet"') nums # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_ms = [] df_ss = [] df_zs = [] perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') #models = ['motionnet', 'dorsalnet'] #datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_m = df_m[datasets]#.loc[models] df_s = df_s[datasets]#.loc[models] df_z = df_z[datasets]#.loc[models] # %% the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 2)}}}\n\\toprule \n" the_str += '{scaling} & {model} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.split('_')[0], idx.split('_')[1]] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})") else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join([x.replace('0.', '.') for x in vals]) + '\\\\\n' the_str += "\end{tabular}\n" #print(f"Ratio: {ratio}") print(the_str) # %% [markdown] # # Resizing, with boosting # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample"}, {"config.method": "boosting"}, {"config.features": {"$in": ["airsim_04", "MotionNet"]}}, {"state": "finished"}, ] } ) archives = {} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' sz = 112 if 'resize' in run.config: sz = run.config['resize'] unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}_{sz}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } # %% results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue if v['corrs_report'][0] is None: # This happens when boosting chooses no v['corrs_report'][0] = 0.0 sz = 112 if 'resize' in v['config']: sz = v['config']['resize'] scale = f"{round((sz / 112) * 100) / 100:.2f}" results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': f"{friendly_name}_{scale}", 'layer': layer_num, 'features_layer': f"{friendly_name}_{scale}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer'), right_on=('dataset', 'features', 'layer'), suffixes=('', '_overall')) df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] #df.query('dataset == "mst"').groupby('features_layer').mean() #df.query('features == "dorsalnet"') nums # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() datasets = ['mt1', 'mt2', 'mst'] df_ms = [] df_ss = [] df_zs = [] perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') #models = ['motionnet', 'dorsalnet'] #datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_m = df_m[datasets]#.loc[models] df_s = df_s[datasets]#.loc[models] df_z = df_z[datasets]#.loc[models] # %% the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 2)}}}\n\\toprule \n" the_str += '{scaling} & {model} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.split('_')[0], idx.split('_')[1]] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})") else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join([x.replace('0.', '.') for x in vals]) + '\\\\\n' the_str += "\end{tabular}\n" #print(f"Ratio: {ratio}") print(the_str) # %% # %% [markdown] # # Resizing, with boosting # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample"}, {"config.method": "boosting"}, {"config.features": {"$in": ["airsim_04", "MotionNet"]}}, {"state": "finished"}, ] } ) archives = {} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' sz = 112 if 'resize' in run.config: sz = run.config['resize'] unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}_{sz}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } # %% results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue if v['corrs_report'][0] is None: # This happens when boosting chooses no v['corrs_report'][0] = 0.0 sz = 112 if 'resize' in v['config']: sz = v['config']['resize'] scale = f"{round((sz / 112) * 100) / 100:.2f}" results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': f"{friendly_name}_{scale}", 'layer': layer_num, 'features_layer': f"{friendly_name}_{scale}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer'), right_on=('dataset', 'features', 'layer'), suffixes=('', '_overall')) df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] #df.query('dataset == "mst"').groupby('features_layer').mean() #df.query('features == "dorsalnet"') nums # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() datasets = ['mt1', 'mt2', 'mst'] df_ms = [] df_ss = [] df_zs = [] perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') #models = ['motionnet', 'dorsalnet'] #datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_m = df_m[datasets]#.loc[models] df_s = df_s[datasets]#.loc[models] df_z = df_z[datasets]#.loc[models] # %% the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 2)}}}\n\\toprule \n" the_str += '{scaling} & {model} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.split('_')[0], idx.split('_')[1]] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})") else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join([x.replace('0.', '.') for x in vals]) + '\\\\\n' the_str += "\end{tabular}\n" #print(f"Ratio: {ratio}") print(the_str) # %% df.query('dataset == "mt2"').groupby(['features', 'layer', 'scale']).first() # %% # Boosting results, version 2 # %% api = wandb.Api() runs = api.runs("pmin/train_fmri_convex.py", {"$and": [ {"config.dataset": {"$in": ["pvc1-repeats", "pvc4", "mt1_norm_neutralbg", "mt2", "mst_norm_neutralbg"]}}, {"config.aggregator": "downsample_t"}, {"config.method": "boosting"}, {"config.features": {"$in": ["airsim_04", "MotionNet"]}}, {"state": "finished"}, ] } ) archives = {} print("Found %i" % len(runs)) for run in tqdm(runs): if run.config['features'] == 'SlowFast': if run.config['layer'] > 16: run.config['features'] = 'SlowFast_Fast' run.config['layer'] = run.config['layer'] - 17 else: run.config['features'] = 'SlowFast_Slow' sz = 112 if 'resize' in run.config: sz = run.config['resize'] unique_name = f"{run.config['features']}_layer{int(run.config['layer']):02}_{run.config['dataset']}_{(run.config['subset'])}_{sz}" if unique_name in archives: continue if 'corrs_report' in run.summary: maxr2_ = [1] if run.config['dataset'] in maxr2.keys(): maxr2_ = [maxr2[run.config['dataset']][int(run.summary['subset'])]] archives[unique_name] = {'corrs_report': [run.summary['corrs_report']], 'maxr2': maxr2_, 'config': run.config, } # %% results = [] for k, v in archives.items(): fam = families[v['config']['features']] try: layer_num = int(v['config']['layer_name'][-2:]) except (KeyError, ValueError): layer_num = int(v['config']['layer']) friendly_name = friendly_names[v['config']['features']] if friendly_name not in whitelist.keys() or layer_num not in whitelist[friendly_name]: continue if v['corrs_report'][0] is None: # This happens when boosting chooses nothing v['corrs_report'][0] = 0.0 sz = 112 if 'resize' in v['config']: sz = v['config']['resize'] scale = f"{round((sz / 112) * 100) / 100:.2f}" results += [{'key': k, 'family': fam, 'dataset': dataset_names[v['config']['dataset']], 'subset': int(v['config']['subset']) + i*100, 'features': f"{friendly_name}_{scale}", 'layer': layer_num, 'features_layer': f"{friendly_name}_{scale}_{layer_num:02}", 'report_corr': x, 'max_r2': np.sqrt(max([m, .1])), 'rnorm': x / np.sqrt(max([m, .1]))} for i, (x, m) in enumerate(zip(v['corrs_report'], v['maxr2']))] df = pd.DataFrame(results) df = df.sort_values('key') nums = df.groupby(['dataset', 'features', 'layer']).subset.count().reset_index() df = df.merge(nums, left_on=('dataset', 'features', 'layer'), right_on=('dataset', 'features', 'layer'), suffixes=('', '_overall')) #df = df[df.subset_overall.isin([23, 25, 36, 44, 84])] #df.query('dataset == "mst"').groupby('features_layer').mean() #df.query('features == "dorsalnet"') #nums.query('dataset == "mst"') #df.query('dataset == "mt2" and layer == 1 and features == "motionnet" and scale == 1.5') # %% #df_ = df.groupby(['dataset', 'features', 'layer']).rnorm.agg(['mean', 'sem', 'count']) #df_.reset_index().groupby(['dataset', 'features'])['mean'].max() datasets = df.dataset.unique() datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_ms = [] df_ss = [] df_zs = [] perf = [] for dataset in datasets: df_ = df.query(f'dataset == "{dataset}"') df_m = df_.pivot_table('rnorm', 'features', 'layer') df_s = df_.pivot_table('rnorm', 'features', 'layer', aggfunc='sem') m = np.diag(df_m.loc[df_m.index, df_m.idxmax(axis=1)].values) s = np.diag(df_s.loc[df_s.index, df_m.idxmax(axis=1)].values) series = df_.groupby(['features_layer']).mean().report_corr best = series.index[series.argmax()] df_ = pd.merge(df_, df_.query(f'features_layer == "{best}"')[['subset', 'rnorm']], left_on='subset', right_on='subset', suffixes=('', '_best')) df_['rnorm_delta'] = df_['rnorm'] - df_['rnorm_best'] df_m_delta = df_.pivot_table('rnorm_delta', 'features', 'layer') df_s_delta = df_.pivot_table('rnorm_delta', 'features', 'layer', aggfunc='sem') + 1e-6 df_ = (df_m_delta / df_s_delta).max(axis=1) perf += [{'dataset': dataset, 'features': f, 'z': df_.loc[f], 'm': mm, 's': ss} for f, mm, ss in zip(df_m.index, m, s)] df_m = pd.DataFrame(perf).pivot('features', 'dataset', 'm') df_s = pd.DataFrame(perf).pivot('features', 'dataset', 's') df_z = pd.DataFrame(perf).pivot('features', 'dataset', 'z') #models = ['motionnet', 'dorsalnet'] #datasets = ['pvc1', 'pvc4', 'mt1', 'mt2', 'mst'] df_m = df_m[datasets]#.loc[models] df_s = df_s[datasets]#.loc[models] df_z = df_z[datasets]#.loc[models] # %% df_m # %% the_str = f"\\begin{{tabular}}{{{'l' * (df_m.shape[1] + 2)}}}\n\\toprule \n" the_str += '{scaling} & {model} & ' + ' & '.join(df_m.columns.tolist()).replace('\\', '\\\\').replace('_', '\_') + '\\\\\n' the_str += '\midrule \n' for idx, row in df_m.iterrows(): vals = [idx.split('_')[0], idx.split('_')[1]] for feature, v in row.items(): if np.isnan(v): vals.append('-') else: if df_z.loc[idx, feature].item() < -1.96: vals.append(f"{v:.3f} ({df_s.loc[idx, feature]:.3f})") else: vals.append(f"\\textbf{{{v:.3f}}} ({df_s.loc[idx, feature]:.3f})") the_str += ' & '.join([x.replace('0.', '.') for x in vals]) + '\\\\\n' the_str += "\end{tabular}\n" #print(f"Ratio: {ratio}") print(the_str)

36.763984

765

0.550523

6,946

53,896

4.110855

0.064354

0.010822

0.013448

0.019052

0.890908

0.885445

0.882293

0.879211

0.878861

0.875849

0

0.05046

0.241428

53,896

1,465

766

36.789079

0.647955

0.077316

0

0.874647

0

0.016023

0.242485

0.038313

0.006598

0

1

0.001885

false

0

0.032988

0

0.036758

0.023563

0

null

0

1

0

1

0

null

0

7

1b212412751f51cf3dec0f2f9cfa56ec33e668a5

217

py

Python

Trees/DFS_Preorder_traversal.py

IshGill/Leetcode-Guides

90b0f8e69e558926b3d47c988c663b9a4d1c845c

[ "Unlicense" ]

6

2021-02-08T08:00:45.000Z

2021-09-29T11:08:40.000Z

Trees/DFS_Preorder_traversal.py

IshGill/Leetcode-Guides

90b0f8e69e558926b3d47c988c663b9a4d1c845c

[ "Unlicense" ]

11

2021-02-19T08:56:32.000Z

2021-03-22T04:52:33.000Z

Trees/DFS_Preorder_traversal.py

IshGill/Leetcode-Guides

90b0f8e69e558926b3d47c988c663b9a4d1c845c

[ "Unlicense" ]

3

2021-02-20T12:03:36.000Z

2021-03-22T13:19:30.000Z

# Preorder = print, left, right. DFS = moving down the tree. def preorderTraversal(self, root): return [root.val] + self.preorderTraversal(root.left) + self.preorderTraversal(root.right) if root != None else []

72.333333

118

0.718894

28

217

5.571429

0.642857

0.269231

0.320513

0

0.152074

217

3

118

72.333333

0.847826

0.267281

0

1

0.5

false

0

0.5

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

1b33f43fb4c3a536d2aa211aeac1445b37448b93

182

py

Python

count.py

oskopek/udi-05

aca88136150c977327324fc65a1a32bcdcd9bb95

[ "MIT" ]

null

count.py

oskopek/udi-05

aca88136150c977327324fc65a1a32bcdcd9bb95

[ "MIT" ]

null

count.py

oskopek/udi-05

aca88136150c977327324fc65a1a32bcdcd9bb95

[ "MIT" ]

null

def count(matrix, element): return 0 def test_count_not_in_matrix(): assert 0 == count([], 0) assert 0 == count([[1],[2]], 3) assert 0 == count([[1, 2],[3, 4]], 5)

20.222222

41

0.549451

30

182

3.2

0.5

0.21875

0.375

0.270833

0.3125

0

0.092857

0.230769

182

8

42

22.75

0.592857

0

0.5

1

0.333333

false

0

0.166667

0.5

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

1b423da721ae20bb1d17ec2d41f63aa0cd766fcc

1,811

py

Python

day9-1.py

vicyyn/AdventOfCode

f5980ecbd958dc979a305992c5e4927f40dd5daf

[ "MIT" ]

null

day9-1.py

vicyyn/AdventOfCode

f5980ecbd958dc979a305992c5e4927f40dd5daf

[ "MIT" ]

null

day9-1.py

vicyyn/AdventOfCode

f5980ecbd958dc979a305992c5e4927f40dd5daf

[ "MIT" ]

null

with open("input.txt") as f: dat = f.readlines() dat = [line.strip() for line in dat] s=0 j=-1 for l in dat: j=j+1 i=-1 for v in l: i=i+1 if(i==0 and j==0): if(int(v)< int(l[1]) and int(v)< int(dat[1][0])): s = s +int(v) +1 continue if(i==len(l)-1 and j==0): if(int(v)< int(l[len(l)-2]) and int(v)< int(dat[1][len(l)-1])): s = s +int(v) +1 continue if(j==len(dat)-1 and i==0): if(int(v)< int(l[1]) and int(v)< int(dat[len(dat)-2][0])): s = s +int(v)+1 continue if(j==len(dat)-1 and i==len(l)-1): if(int(v)< int(l[len(l)-2]) and int(v)< int(dat[len(dat)-2][len(l)-1])): s = s +int(v)+1 continue if(j==0): if(int(v)< int(l[i-1]) and int(v)<int(l[i+1]) and int(v)< int(dat[j+1][i])): s = s +int(v)+1 continue if(j==len(dat)-1): if(int(v)< int(l[i-1]) and int(v)<int(l[i+1]) and int(v)< int(dat[j-1][i])): s = s +int(v)+1 continue if(i==0): if(int(v)< int(l[i+1]) and int(v)<int(dat[j-1][i]) and int(v)< int(dat[j+1][i])): s = s +int(v)+1 continue if(i==len(l)-1): if(int(v)< int(l[i-1]) and int(v)<int(dat[j-1][i]) and int(v)< int(dat[j+1][i]) ): s = s +int(v)+1 continue if(int(v)< int(l[i-1]) and int(v) < int(l[i+1]) and int(v)<int(dat[j-1][i]) and int(v)< int(dat[j+1][i])): s = s +int(v)+1 print(s)

32.339286

118

0.363335

323

1,811

2.037152

0.080495

0.200608

0.255319

0.227964

0.857143

0.854103

0.816109

0.808511

0

0.05138

0.419658

1,811

55

119

32.927273

0.574691

0

0.377778

0

0.004972

0

1

0

false

0

0.022222

0

null

1

0

null

0

9

1b755da5d25b7cfb3ea0072bb07dd25e472e42d5

20,735

py

Python

rev/brodyrev/solve.py

vidner/codepwnda-ctf

7e086044b753fe555b44395b79827d2f5b89da1d

[ "Unlicense" ]

6

2021-02-18T15:07:55.000Z

2022-02-04T01:38:10.000Z

rev/brodyrev/solve.py

vidner/codepwnda-ctf

7e086044b753fe555b44395b79827d2f5b89da1d

[ "Unlicense" ]

null

rev/brodyrev/solve.py

vidner/codepwnda-ctf

7e086044b753fe555b44395b79827d2f5b89da1d

[ "Unlicense" ]

null

from z3 import * def brute(x): pass LEN = 66 s = Solver() a1 = [BitVec(i, 32) for i in range(LEN)] # ======================================== a = [121, 123, 113, 131, 113, 57, 59, 123, 131, 105, 105, 131, 123, 131, 121, 57, 129, 131, 59, 131, 131, 121, 121, 57, 113, 121, 113, 123, 131, 57, 113, 113, 121, 131, 123, 59, 123, 113, 57, 123, 131, 121, 57, 129, 131, 107, 113, 131, 59, 121, 107, 131, 113, 121, 107, 123, 105, 123, 57, 121, 131, 57, 113, 131, 59, 131, 57, 91, 42, 60, 41, 89, 92, 91, 60, 74, 73, 60, 91, 60, 90, 89, 90, 60, 92, 59, 60, 89, 90, 89, 73, 89, 74, 92, 60, 90, 74, 73, 89, 60, 92, 92, 91, 73, 89, 92, 60, 90, 89, 90, 60, 75, 74, 60, 92, 90, 75, 60, 73, 90, 75, 91, 74, 92, 89, 89, 60, 90, 74, 60, 92, 59, 121, 127, 118, 136, 117, 61, 60, 123, 136, 106, 109, 136, 123, 136, 126, 57, 130, 136, 60, 131, 136, 125, 126, 57, 113, 125, 114, 128, 136, 62, 114, 113, 125, 136, 124, 60, 127, 117, 57, 124, 136, 126, 57, 130, 136, 111, 114, 136, 64, 126, 107, 136, 117, 126, 111, 123, 110, 128, 57, 121, 136, 62, 114, 136, 60, 131, 105, 137, 114, 114, 113, 73, 74, 137, 114, 138, 137, 114, 137, 114, 138, 73, 146, 114, 74, 113, 114, 137, 138, 73, 145, 137, 146, 138, 114, 74, 146, 145, 137, 114, 138, 74, 137, 145, 73, 138, 114, 138, 73, 146, 114, 137, 146, 114, 74, 138, 137, 114, 145, 138, 137, 137, 138, 138, 73, 137, 114, 74, 146, 114, 74, 113, 57, 93, 46, 62, 45, 93, 90, 89, 62, 74, 77, 62, 89, 62, 94, 89, 90, 62, 90, 57, 62, 93, 94, 89, 73, 93, 74, 94, 62, 94, 74, 73, 93, 62, 90, 90, 93, 77, 89, 90, 62, 94, 89, 90, 62, 77, 74, 62, 94, 94, 73, 62, 77, 94, 77, 89, 78, 94, 89, 89, 62, 94, 74, 62, 90, 57, 121, 127, 118, 136, 117, 61, 60, 123, 136, 106, 109, 136, 123, 136, 126, 57, 130, 136, 60, 131, 136, 125, 126, 57, 113, 125, 114, 128, 136, 62, 114, 113, 125, 136, 124, 60, 127, 117, 57, 124, 136, 126, 57, 130, 136, 111, 114, 136, 64, 126, 107, 136, 117, 126, 111, 123, 110, 128, 57, 121, 136, 62, 114, 136, 60, 131, 121, 153, 105, 121, 105, 89, 89, 153, 121, 137, 137, 121, 153, 121, 153, 89, 153, 121, 89, 121, 121, 153, 153, 89, 137, 153, 137, 153, 121, 89, 137, 137, 153, 121, 153, 89, 153, 137, 89, 153, 121, 153, 89, 153, 121, 137, 137, 121, 89, 153, 137, 121, 137, 153, 137, 153, 137, 153, 89, 153, 121, 89, 137, 121, 89, 121, 57, 89, 41, 57, 41, 89, 89, 89, 57, 73, 73, 57, 89, 57, 89, 89, 89, 57, 89, 57, 57, 89, 89, 89, 73, 89, 73, 89, 57, 89, 73, 73, 89, 57, 89, 89, 89, 73, 89, 89, 57, 89, 89, 89, 57, 73, 73, 57, 89, 89, 73, 57, 73, 89, 73, 89, 73, 89, 89, 89, 57, 89, 73, 57, 89, 57, 121, 159, 110, 128, 109, 93, 92, 155, 128, 138, 141, 128, 155, 128, 158, 89, 154, 128, 92, 123, 128, 157, 158, 89, 137, 157, 138, 160, 128, 94, 138, 137, 157, 128, 156, 92, 159, 141, 89, 156, 128, 158, 89, 154, 128, 143, 138, 128, 96, 158, 139, 128, 141, 158, 143, 155, 142, 160, 89, 153, 128, 94, 138, 128, 92, 123, 105, 141, 110, 110, 109, 77, 74, 137, 110, 138, 141, 110, 137, 110, 142, 73, 138, 110, 74, 105, 110, 141, 142, 73, 137, 141, 138, 142, 110, 78, 138, 137, 141, 110, 138, 74, 141, 141, 73, 138, 110, 142, 73, 138, 110, 141, 138, 110, 78, 142, 137, 110, 141, 142, 141, 137, 142, 142, 73, 137, 110, 78, 138, 110, 74, 105, 121, 155, 105, 123, 105, 89, 91, 155, 123, 137, 137, 123, 155, 123, 153, 89, 153, 123, 91, 123, 123, 153, 153, 89, 137, 153, 137, 155, 123, 89, 137, 137, 153, 123, 155, 91, 155, 137, 89, 155, 123, 153, 89, 153, 123, 139, 137, 123, 91, 153, 139, 123, 137, 153, 139, 155, 137, 155, 89, 153, 123, 89, 137, 123, 91, 123, 105, 143, 109, 111, 109, 77, 75, 139, 111, 137, 141, 111, 139, 111, 141, 73, 137, 111, 75, 107, 111, 141, 141, 73, 137, 141, 137, 143, 111, 77, 137, 137, 141, 111, 139, 75, 143, 141, 73, 139, 111, 141, 73, 137, 111, 143, 137, 111, 79, 141, 139, 111, 141, 141, 143, 139, 141, 143, 73, 137, 111, 77, 137, 111, 75, 107, 121, 157, 110, 126, 109, 93, 90, 153, 126, 138, 141, 126, 153, 126, 158, 89, 154, 126, 90, 121, 126, 157, 158, 89, 137, 157, 138, 158, 126, 94, 138, 137, 157, 126, 154, 90, 157, 141, 89, 154, 126, 158, 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95, 157, 139, 127, 141, 157, 143, 155, 141, 159, 89, 153, 127, 93, 137, 127, 91, 123, 121, 121, 105, 121, 105, 57, 57, 121, 121, 105, 105, 121, 121, 121, 121, 57, 121, 121, 57, 121, 121, 121, 121, 57, 105, 121, 105, 121, 121, 57, 105, 105, 121, 121, 121, 57, 121, 105, 57, 121, 121, 121, 57, 121, 121, 105, 105, 121, 57, 121, 105, 121, 105, 121, 105, 121, 105, 121, 57, 121, 121, 57, 105, 121, 57, 121] counter = 0 for i in range(LEN): for j in range(LEN-1,-1,-1): s.add((a1[i]&a1[j])+x==a[counter]) counter+=1 # ======================================== if s.check() == sat: model = s.model() print (''.join([chr(model[x].as_long()) for x in a1])) exit() # ======================================== for i in range(256): brute(i)

797.5

20,238

0.565662

4,429

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0

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11

1b81cf99ed85dccb1a5c581d4ed8fccab75890b2

137

py

Python

harrison/__init__.py

metabolize/harrison

0d0f26fda1947785ee7a00a8a7bf5b6a95e06372

[ "BSD-2-Clause" ]

4

2019-10-02T03:23:04.000Z

2021-01-26T04:25:06.000Z

harrison/__init__.py

metabolize/harrison

0d0f26fda1947785ee7a00a8a7bf5b6a95e06372

[ "BSD-2-Clause" ]

31

2019-08-29T17:13:06.000Z

2021-06-25T15:25:18.000Z

harrison/__init__.py

metabolize/harrison

0d0f26fda1947785ee7a00a8a7bf5b6a95e06372

[ "BSD-2-Clause" ]

1

2017-10-24T23:24:48.000Z

from .package_version import __version__ # noqa: F401 from .profile import profile # noqa: F401 from .timer import Timer # noqa: F401

34.25

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137

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137

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1

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1b837656f3afd006d4c614dbf7de8e8cb482f25d

127

py

Python

omnilearn/community/__init__.py

fleeb24/foundation

18c4179cfe2988267827e532f8d8cd0726ef8709

[ "MIT" ]

1

2020-10-08T21:33:58.000Z

omnilearn/community/__init__.py

felixludos/foundation

62ac096e6c53e12f2e29480506687c652c399d50

[ "MIT" ]

null

omnilearn/community/__init__.py

felixludos/foundation

62ac096e6c53e12f2e29480506687c652c399d50

[ "MIT" ]

null

# from . import fid # from .metric import Metric, MetricBase # from .stats import elbo, bits_per_dim from . import fid

18.142857

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4.833333

0.555556

0.229885

0.298851

0

0.228346

127

6

42

21.166667

0.887755

0.740157

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

1b9b0127dee117ed12cf11b16d297add3cb88938

91

py

Python

autofit/example/__init__.py

caoxiaoyue/PyAutoFit

819cd2acc8d4069497a161c3bb6048128e44d828

[ "MIT" ]

null

autofit/example/__init__.py

caoxiaoyue/PyAutoFit

819cd2acc8d4069497a161c3bb6048128e44d828

[ "MIT" ]

null

autofit/example/__init__.py

caoxiaoyue/PyAutoFit

819cd2acc8d4069497a161c3bb6048128e44d828

[ "MIT" ]

null

from .analysis import Analysis from .model import Gaussian from .model import Exponential

30.333333

31

0.824176

12

91

6.25

0.5

0.24

0.4

0

0.142857

91

3

32

30.333333

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

9413ea11150afe22d7de2df1677a408eec7fccc7

47

py

Python

Basics/ecommerce/shipping.py

caseysalvador/Python

19bc762a123e98ebbac427c69ce58925e507b045

[ "MIT" ]

null

Basics/ecommerce/shipping.py

caseysalvador/Python

19bc762a123e98ebbac427c69ce58925e507b045

[ "MIT" ]

9

2021-11-03T18:57:45.000Z

2022-03-26T06:29:38.000Z

Basics/ecommerce/shipping.py

caseysalvador/Python

19bc762a123e98ebbac427c69ce58925e507b045

[ "MIT" ]

null

def calc_shipping(): print("calc_shipping")

23.5

26

0.723404

6

47

5.333333

0.666667

0.75

0

0.12766

47

2

26

23.5

0.780488

0

0.270833

0

1

0.5

true

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

7

944e272b9a8e376d4baa821091666f98a198af30

33,154

py

Python

world_building.py

Orange-Joe/Python_RPG_Engine

956dea075fe8cc050928831f645ae9ae6c316e47

[ "MIT" ]

null

world_building.py

Orange-Joe/Python_RPG_Engine

956dea075fe8cc050928831f645ae9ae6c316e47

[ "MIT" ]

null

world_building.py

Orange-Joe/Python_RPG_Engine

956dea075fe8cc050928831f645ae9ae6c316e47

[ "MIT" ]

null

from dialog import * import os import sys import readchar import time __author__ = "0range-j0e" __version__ = "1.0" """ This module is a major work in progress for an interactice map based on Unicode characters. Currently working on refactoring this code to improve the ease in which new maps can be created and interacted with by creating a standard grid strucutre. Running this program will put the player in a test map in which the player can move around and add new objects to the world by using the build function. Please see the building function below for more information. Please note you will likely need to zoom into the terminal to see the map properly. """ inv = [] last_door = None game_over = False # List of map objects starting with the player icon. p = (green + dim + 'π') # Wizard icon z = (green + dim + 'W') # Wall w = (normal + "|") # First map door d = (red+bright+"D") # Second map door d1 = black + bright + "D" # Second map return door d2 = white + dim + "D" q = white + bright + "X" w1 = black + bright + "|" c1 = black + bright + "-" k = [blue + 'K', 'BLUE KEY'] # Village Square Map map = [w,'X', 'O', 'X','X','X','X','X','X','X', w, w,'X','X','X','X','X','X','X','X','X',w, w,'X','X','X','X','X','X','X','X','X',w, w,'X','X','X','X','X','X','X','X','X',w, w,'X','X','X','X','X', z, 'X', d,'X', w] previous_map = None # WIP maps map1 = [' ', ' ', ' ', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', ' ', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', ' ', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', '\x1b[34m\x1b[2m_', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[2m⍿', '\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[2m⍿', '\x1b[33m\x1b[1m\x1b[34m\x1b[1m∞', '\x1b[34m\x1b[2m⍿', '\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[2m⍿', '\x1b[34m|', '\x1b[30m\x1b[1m⚱', '\x1b[30m\x1b[1m⚱', '\x1b[33m\x1b[1m⚚', '\x1b[34m|', '\x1b[31m\x1b[1m♨', '\x1b[31m\x1b[1m♨', '\x1b[34m|', '\x1b[33m\x1b[1m☤', '\x1b[30m\x1b[1m⚱', '\x1b[30m\x1b[1m⚱', '\x1b[34m\x1b[2m╠', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╣', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[2m⍿', '\x1b[32m\x1b[2m⬖', '\x1b[34m\x1b[2m⍿', '\x1b[31m\x1b[2m⌔', '\x1b[34m\x1b[2m⍿', '\x1b[32m\x1b[2m⬗', '\x1b[34m\x1b[2m⍿', '\x1b[34m|', ' ', ' ', ' ', ' ', '\x1b[31m\x1b[2m‾', '\x1b[31m\x1b[2m‾', ' ', ' ', ' ', ' ', '\x1b[34m╠', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m╣', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[2m⍿', ' ', ' ', ' ', ' ', ' ', ' ', '\x1b[34m|', ' ', ' ', '\x1b[32m☘', '\x1b[32m\x1b[2m☘', '\x1b[31m\x1b[2m☘', '\x1b[34m☘', '\x1b[32m☘', '\x1b[32m\x1b[2m☘', ' ', ' ', '\x1b[34m\x1b[2m╚', '\x1b[34m\x1b[2m╩', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╩', '\x1b[34m\x1b[2m╣', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[1m▩', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '\x1b[32m☘', '\x1b[32m\x1b[2m☘', '\x1b[34m☘', '\x1b[34m\x1b[2m☘', '\x1b[31m\x1b[2m☘', '\x1b[35m\x1b[2m☘', '\x1b[32m\x1b[2m☘', '\x1b[32m☘', ' ', ' ', ' ', '\x1b[34m\x1b[2m╚', '\x1b[34m\x1b[1m▩', '\x1b[34m\x1b[1m▩', '\x1b[34m\x1b[2m╝', ' ', '\x1b[34m\x1b[2m║', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[1m▩', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '\x1b[31m☘', '\x1b[32m☘', '\x1b[31m\x1b[2m☘', '\x1b[33m\x1b[2m☘', '\x1b[35m\x1b[2m☘', '\x1b[31m☘', '\x1b[32m\x1b[2m☘', '\x1b[31m\x1b[2m☘', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '\x1b[34m\x1b[2m║', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[2m⍿', ' ', ' ', ' ', ' ', ' ', ' ', '\x1b[34m|', ' ', ' ', '\x1b[33m\x1b[2m☘', '\x1b[32m☘', '\x1b[32m\x1b[2m☘', '\x1b[34m\x1b[2m☘', '\x1b[32m\x1b[2m☘', '\x1b[32m☘', ' ', ' ', '\x1b[34m\x1b[2m╔', '\x1b[34m\x1b[2m╦', '\x1b[34m\x1b[2m╦', '\x1b[34m▩', '\x1b[34m▩', '\x1b[34m\x1b[2m╦', '\x1b[34m\x1b[2m╦', '\x1b[34m\x1b[2m╣', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[2m⍿', '\x1b[32m\x1b[2m⬖', '\x1b[34m\x1b[2m⍿', '\x1b[31m\x1b[2m▵', '\x1b[34m\x1b[2m⍿', '\x1b[32m\x1b[2m⬗', '\x1b[34m\x1b[2m⍿', '\x1b[34m|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '\x1b[34m\x1b[2m╠', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╬', '\x1b[34m\x1b[2m╣', ' ', ' ', '\x1b[34m|', '\x1b[34m\x1b[2m⍿', '\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[2m⍿', '\x1b[33m\x1b[1m\x1b[34m\x1b[1m∞', '\x1b[34m\x1b[2m⍿', '\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[2m⍿', '\x1b[34m|', ' ', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', '\x1b[30m\x1b[1m⚰', ' ', '\x1b[34m╠', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m\x1b[34m\x1b[1m⏣', '\x1b[34m\x1b[34m\x1b[1m⏣', '\x1b[34m╬', '\x1b[34m╬', '\x1b[34m╣', ' ', ' ', ' ', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', ' ', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', ' ', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m\x1b[34m\x1b[2m⎺', '\x1b[34m\x1b[2m⎺'] # Open World Map map2 = ['┌', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '┐', ' ', ' ', ' ', '◬', ' ', ' ', '◬', ' ', ' ', ' ', '\x1b[22m|', '\x1b[37m\x1b[2mD', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '/', '*', '\\', '/', '*', '\\', ' ', ' ', '\x1b[22m|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '☠', ' ', ' ', ' ', ' ', ' ', '-', '-', '/', '/', ' ', '\\', '/', ' ', '\\', '\\', ' ', '\x1b[22m|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '⚕', ' ', ' ', ' ', ' ', ' ', '└', '/', '/', ' ', ' ', ' ', ' ', ' ', ' ', '\\', '\\', '\x1b[22m|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ⚱', ' ', ' ', ' ', '/', '/', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '☺', ' ', ' ', ' ', '/', '/', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' |', '├', '\x1b[30m\x1b[1m-', '\x1b[30m\x1b[1m-', '\x1b[30m\x1b[1m-', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' /', '/', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', blue + '|', '\x1b[22m|', ' ', ' ', ' ', ' ', '\x1b[30m\x1b[1m|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '/', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' |', blue + '|', '\x1b[22m|', ' ', ' ', ' ', ' ', '\x1b[30m\x1b[1m|', '\x1b[32m\x1b[2mW', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' |', blue + '|', '└', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-', ' '] # WIP maps # map3 = [' ', ' ', ' ', blue + dim + '_', blue + dim + '_', blue + dim + '_', '⍙', blue + dim + '_', blue + dim + '_', blue + dim + '_', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', blue + dim + '⍿', blue + bright + '⏣', blue + dim + '⍿', yellow + bright + blue + bright + '∞', blue + dim + '⍿', blue + bright + '⏣', blue + dim + '⍿', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', blue + dim + '⍿', green + dim + '⬖', blue + dim + '⍿', red + dim + '⌔', blue + dim + '⍿', green + dim + '⬗', blue + dim + '⍿', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', yellow + bright + '☤', ' ', ' ', ' ', '♾', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', blue + dim + '⍿', green + dim + '⬖', blue + dim + '⍿', red + dim + '▵', blue + dim + '⍿', green + dim + '⬗', blue + dim + '⍿', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + '|', blue + dim + '⍿', blue + bright + '⏣', blue + dim + '⍿', yellow + bright + blue + bright + '∞', blue + dim + '⍿', blue + bright + '⏣', blue + dim + '⍿', blue + '|', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', blue + dim + blue + dim + '⎺', blue + dim + blue + dim + '⎺', blue + dim + blue + dim + '⎺', blue + dim + blue + dim + '⎺', blue + dim + blue + dim + '⎺', blue + dim + blue + dim + '⎺', blue + dim + blue + dim + '⎺', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '] map3 =['X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 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'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X', 'X'] location = 'Village Square' """ The build function allows the player to add their own Unicode characters to a map. To call the function, press 'b'. Once you've pressed 'b', you can choose to add an object above, below, left, or right. Example: press 'b' > type: 'w ⌨' (no quotes and there must be a space between 'b' and '⌨'. This will add a keyboard object above the player. This is a work in progress, but can theoretically be used to create fully fleshed-out Unicode maps. To add colors to the Unicode character you're adding, type color + character, ex: 'w blue + ⌨'. In the future I want the build function to identify custom Python objects and add them into the game intellgiently, such as doors that lead to a certain location or a sword with special properties. If you want to save a map you have modified, exit into the interpreter, print the map object, and copy and paste it into the code. """ def build(map, w, a, s, d): print("w = build above\nd = build to right\ns = build below\na = build to left") x = input(":: ") indices = [] # a = x if len(x) > 2: if ' ' in x: # go = input('space found in command') while ' ' in x: x = list(x) x.remove(' ') x = ''.join(x) if x[-1] == ' ': x = list(x) x.append(' ') x = ''.join(x) while '+' in x: check = x.find('+') print(check) if check != -1: indices.append(check) print(indices) x_list = list(x.strip('')) x_list.pop(check) x = ''.join(x_list) if x[:1].lower() == 'w': if len(x) < 3: map[w] = x[1:] if len(indices) == 1: try: map[w] = (Dialog.colors[x[1:(indices[0])]] + x[-1]) except: pass elif len(indices) == 2: try: map[w] = ((Dialog.colors[x[1:(indices[0])]]) + (Dialog.colors[x[(indices[0]):(indices[1])]]) + x[-1]) except: pass elif x[:1].lower() == 'a': if len(x) < 3: map[a] = x[1:] if len(indices) == 1: try: map[a] = (Dialog.colors[x[1:(indices[0])]] + x[-1]) except: pass elif len(indices) == 2: try: map[a] = ((Dialog.colors[x[1:(indices[0])]]) + (Dialog.colors[x[(indices[0]):(indices[1])]]) + x[-1]) except: pass elif x[:1].lower() == 's': if len(x) < 3: map[s] = x[1:] if len(indices) == 1: try: map[s] = (Dialog.colors[x[1:(indices[0])]] + x[-1]) except: pass elif len(indices) == 2: try: map[s] = ((Dialog.colors[x[1:(indices[0])]]) + (Dialog.colors[x[(indices[0]):(indices[1])]]) + x[-1]) except: pass elif x[:1].lower() == 'd': if len(x) < 3: map[d] = x[1:] if len(indices) == 1: try: map[d] = (Dialog.colors[x[1:(indices[0])]] + x[-1]) except: pass elif len(indices) == 2: try: map[d] = ((Dialog.colors[x[1:(indices[0])]]) + (Dialog.colors[x[(indices[0]):(indices[1])]]) + x[-1]) except: pass elif x == 'u': map = previous_map def output(plots,check, end): cursor.hide() for i in range(check, end): # if plots[i] in ['╔','╚', '═']: # if plots[i+1] != ' ': # print(f"{plots[i]}", end="═", flush=True) # elif plots[i] in ['-']: # if plots[i+1] != ' ': # print(f"{plots[i]}", end="-", flush=True) if type(plots[i]) is list: a = plots[i][0] print(f"{a}", end="", flush=True) else: # print(f"{plots[i]}", end="", flush=True) # print(plots[i], end="", flush=True) sys.stdout.write(plots[i]) cursor.show() print("") def point_check(plots, point): if 'W' in plots[point]: return True else: return False def door_check(plots, point): if 'D' in plots[point]: return True else: return False def block_check(plots, point): block_points = ['╝', blue + '|', '-', '╚', '╗', '╔' ] for i in block_points: if i in plots[point]: return True return False def village_square(): def wiz_chat(): Dialog.quick_chat("""\nWIZARD:\n\nWhy hello, Stranger! """, blue + dim) input("Continue... ") def checks(c, n, map, x): block = block_check(map,n) if block is False: door = door_check(map,n) if door is True: map[(x)] = c last_door = map[n] return ('door', c) elif door is False: chat = point_check(map,n) if chat is False: map[(x)] = c c = map[n] x = n first_round = False return (x, c) elif chat is True: wiz_chat() return (x, c) elif block is True: return (x, c) else: c = map[n] return (x, c) # In Village Square, player starts off on map plot map[1]. # If the player were returning from another location, there should be a bool to determine if that's the case # and put the player at the map plot point next to the door instead of the first spawn point. x = 1 # current plot point c = map[x] first_round = True chat = False block = False door = False while True: map[x] = p os.system('clear') Dialog.quick_chat("\n-- Village Square --", blue + dim) # print(f"LAST DOOR: {last_door}") output(map,0,11) output(map,11,22) output(map,22,33) output(map,33,44) output(map,44,55) if chat is False: inp = repr(readchar.readchar()) try: if inp == "'w'": n = x-11 x, c = checks(c, n, map, x) elif inp == "'a'": n = x-1 x, c = checks(c, n, map, x) elif inp == "'s'": n = x+11 x, c = checks(c, n, map, x) elif inp == "'d'": n = x+1 x, c = checks(c, n, map, x) elif inp == "'c'": a = input("Enter command: ") if a == 'quit': os.system('quit') break elif inp == "'b'": build(map, x-11, x-1, x+11, x+1) elif inp == "'q'": sys.exit() else: pass if x == 'door': break block = False except: pass def open_world(): def wiz_chat(): Dialog.quick_chat("""\nWIZARD:\n\nWhy hello, Stranger!""", blue + dim) input("Continue... ") def checks(c, n, map, x): block = block_check(map,n) if block is False: door = door_check(map,n) if door is True: map[(x)] = c last_door = map[n] return ('door', c) elif door is False: chat = point_check(map,n) if chat is False: map[(x)] = c c = map[n] x = n first_round = False return (x, c) elif chat is True: wiz_chat() return (x, c) elif block is True: return (x, c) else: c = map[n] return (x, c) # In Village Square, player starts off on map plot map[1]. # If the player were returning from another location, there should be a bool to determine if that's the case # and put the player at the map plot point next to the door instead of the first spawn point. x = 32 c = map1[x] first_round = True chat = False block = False door = False while True: map1[x] = p os.system('clear') output(map1,0,29) output(map1,29,58) output(map1,58,87) output(map1,87,116) output(map1,116,145) output(map1,145,174) output(map1,174,203) output(map1,203,232) output(map1,232,261) output(map1,261,290) if chat is False: inp = repr(readchar.readchar()) try: if inp == "'w'": n = x-29 x, c = checks(c, n, map1, x) elif inp == "'a'": n = x-1 x, c = checks(c, n, map1, x) elif inp == "'s'": n = x+29 x, c = checks(c, n, map1, x) elif inp == "'d'": n = x+1 x, c = checks(c, n, map1, x) elif inp == "'c'": a = input(": ") if a == 'quit': os.system('quit') break else: try: os.system(f'{a}') except: pass elif inp == "'b'": build(map1, x-29, x-1, x+29, x+1) if x == 'door': break block = False except: pass def grid(): def wiz_chat(): Dialog.quick_chat("""\nWIZARD:\n\nWhy hello, Stranger! """, blue + dim) input("Continue... ") def checks(c, n, map, x): block = block_check(map,n) if block is False: door = door_check(map,n) if door is True: map[(x)] = c last_door = map[n] return ('door', c) elif door is False: chat = point_check(map,n) if chat is False: map[(x)] = c c = map[n] x = n first_round = False return (x, c) elif chat is True: wiz_chat() return (x, c) elif block is True: return (x, c) else: c = map[n] return (x, c) # In Village Square, player starts off on map plot map[1]. # If the player were returning from another location, there should be a bool to determine if that's the case # and put the player at the map plot point next to the door instead of the first spawn point. x = 500 c = map3[x] first_round = True chat = False block = False door = False while True: map3[x] = p os.system('clear') output(map3,0,100) output(map3,100,200) output(map3,200,300) output(map3,300,400) output(map3,400,500) output(map3,500,600) output(map3,600,700) output(map3,700,800) output(map3,800,900) output(map3,900,1000) output(map3,1000,1100) output(map3,1100,1200) output(map3,1200,1300) output(map3,1300,1400) output(map3,1400,1500) output(map3,1500,1600) output(map3,1600,1700) output(map3,1700,1800) output(map3,1800,1900) output(map3,1900,2000) if chat is False: inp = repr(readchar.readchar()) try: if inp == "'w'": n = x-100 x, c = checks(c, n, map3, x) elif inp == "'a'": n = x-1 x, c = checks(c, n, map3, x) elif inp == "'s'": n = x+100 x, c = checks(c, n, map3, x) elif inp == "'d'": n = x+1 x, c = checks(c, n, map3, x) elif inp == "'c'": a = input(": ") if a == 'quit': os.system('quit') break else: try: os.system(f'{a}') except: pass elif inp == "'b'": build(map3, x-100, x-1, x+100, x+1) if x == 'door': break block = False except: pass open_world()

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945c5dc3a25429f711f782303f7797e3bc6ad453

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py

Python

presalytics_story/api/default_api.py

presalytics/story-python-client

48ac7830b85d65b94a9f6bbfc0c7ee8344327084

[ "MIT" ]

null

presalytics_story/api/default_api.py

presalytics/story-python-client

48ac7830b85d65b94a9f6bbfc0c7ee8344327084

[ "MIT" ]

null

presalytics_story/api/default_api.py

presalytics/story-python-client

48ac7830b85d65b94a9f6bbfc0c7ee8344327084

[ "MIT" ]

null

# coding: utf-8 """ Communcations No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: 0.1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from presalytics_story.api_client import ApiClient from presalytics_story.exceptions import ( ApiTypeError, ApiValueError ) class DefaultApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def story_get(self, **kwargs): # noqa: E501 """story_get # noqa: E501 Returns a list of stories for this user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_get(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[Story] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_get_with_http_info(**kwargs) # noqa: E501 def story_get_with_http_info(self, **kwargs): # noqa: E501 """story_get # noqa: E501 Returns a list of stories for this user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[Story], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Story]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_collaborators_get(self, id, **kwargs): # noqa: E501 """story_id_collaborators_get # noqa: E501 Returns a list of that collaborators on the story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_get(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[StoryCollaborator] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_collaborators_get_with_http_info(id, **kwargs) # noqa: E501 def story_id_collaborators_get_with_http_info(self, id, **kwargs): # noqa: E501 """story_id_collaborators_get # noqa: E501 Returns a list of that collaborators on the story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_get_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[StoryCollaborator], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_collaborators_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_collaborators_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/collaborators', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[StoryCollaborator]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_collaborators_post(self, id, unknown_base_type, **kwargs): # noqa: E501 """story_id_collaborators_post # noqa: E501 Add a colloborator to this story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_post(id, unknown_base_type, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param UNKNOWN_BASE_TYPE unknown_base_type: Collaborator user id and permission type (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: StoryCollaborator If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_collaborators_post_with_http_info(id, unknown_base_type, **kwargs) # noqa: E501 def story_id_collaborators_post_with_http_info(self, id, unknown_base_type, **kwargs): # noqa: E501 """story_id_collaborators_post # noqa: E501 Add a colloborator to this story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_post_with_http_info(id, unknown_base_type, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param UNKNOWN_BASE_TYPE unknown_base_type: Collaborator user id and permission type (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(StoryCollaborator, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'unknown_base_type'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_collaborators_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_collaborators_post`") # noqa: E501 # verify the required parameter 'unknown_base_type' is set if ('unknown_base_type' not in local_var_params or local_var_params['unknown_base_type'] is None): raise ApiValueError("Missing the required parameter `unknown_base_type` when calling `story_id_collaborators_post`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'unknown_base_type' in local_var_params: body_params = local_var_params['unknown_base_type'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/collaborators', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='StoryCollaborator', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_collaborators_userid_delete(self, id, story_collaborator_userid, **kwargs): # noqa: E501 """story_id_collaborators_userid_delete # noqa: E501 Remove a collaborator from this story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_delete(id, story_collaborator_userid, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_collaborators_userid_delete_with_http_info(id, story_collaborator_userid, **kwargs) # noqa: E501 def story_id_collaborators_userid_delete_with_http_info(self, id, story_collaborator_userid, **kwargs): # noqa: E501 """story_id_collaborators_userid_delete # noqa: E501 Remove a collaborator from this story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_delete_with_http_info(id, story_collaborator_userid, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'story_collaborator_userid'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_collaborators_userid_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_collaborators_userid_delete`") # noqa: E501 # verify the required parameter 'story_collaborator_userid' is set if ('story_collaborator_userid' not in local_var_params or local_var_params['story_collaborator_userid'] is None): raise ApiValueError("Missing the required parameter `story_collaborator_userid` when calling `story_id_collaborators_userid_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 if 'story_collaborator_userid' in local_var_params: path_params['story_collaborator_userid'] = local_var_params['story_collaborator_userid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/collaborators/{story_collaborator_userid}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_collaborators_userid_get(self, id, story_collaborator_userid, **kwargs): # noqa: E501 """story_id_collaborators_userid_get # noqa: E501 Get a collaborator's permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_get(id, story_collaborator_userid, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: StoryCollaborator If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_collaborators_userid_get_with_http_info(id, story_collaborator_userid, **kwargs) # noqa: E501 def story_id_collaborators_userid_get_with_http_info(self, id, story_collaborator_userid, **kwargs): # noqa: E501 """story_id_collaborators_userid_get # noqa: E501 Get a collaborator's permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_get_with_http_info(id, story_collaborator_userid, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(StoryCollaborator, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'story_collaborator_userid'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_collaborators_userid_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_collaborators_userid_get`") # noqa: E501 # verify the required parameter 'story_collaborator_userid' is set if ('story_collaborator_userid' not in local_var_params or local_var_params['story_collaborator_userid'] is None): raise ApiValueError("Missing the required parameter `story_collaborator_userid` when calling `story_id_collaborators_userid_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 if 'story_collaborator_userid' in local_var_params: path_params['story_collaborator_userid'] = local_var_params['story_collaborator_userid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/collaborators/{story_collaborator_userid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='StoryCollaborator', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_collaborators_userid_permissiontype_get(self, id, story_collaborator_userid, permissiontype, **kwargs): # noqa: E501 """story_id_collaborators_userid_permissiontype_get # noqa: E501 Returns a status code response whether a user a has permission 204 = Granted, 403 = forbidden # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_permissiontype_get(id, story_collaborator_userid, permissiontype, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param str permissiontype: the type of permission requested. can be a permission_type object name (e.g., owner, editor, create, viewer, admin) or a permission type field (e.g., can_edit, can_view, can_add_collaborators, can_delete) (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_collaborators_userid_permissiontype_get_with_http_info(id, story_collaborator_userid, permissiontype, **kwargs) # noqa: E501 def story_id_collaborators_userid_permissiontype_get_with_http_info(self, id, story_collaborator_userid, permissiontype, **kwargs): # noqa: E501 """story_id_collaborators_userid_permissiontype_get # noqa: E501 Returns a status code response whether a user a has permission 204 = Granted, 403 = forbidden # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_permissiontype_get_with_http_info(id, story_collaborator_userid, permissiontype, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param str permissiontype: the type of permission requested. can be a permission_type object name (e.g., owner, editor, create, viewer, admin) or a permission type field (e.g., can_edit, can_view, can_add_collaborators, can_delete) (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'story_collaborator_userid', 'permissiontype'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_collaborators_userid_permissiontype_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_collaborators_userid_permissiontype_get`") # noqa: E501 # verify the required parameter 'story_collaborator_userid' is set if ('story_collaborator_userid' not in local_var_params or local_var_params['story_collaborator_userid'] is None): raise ApiValueError("Missing the required parameter `story_collaborator_userid` when calling `story_id_collaborators_userid_permissiontype_get`") # noqa: E501 # verify the required parameter 'permissiontype' is set if ('permissiontype' not in local_var_params or local_var_params['permissiontype'] is None): raise ApiValueError("Missing the required parameter `permissiontype` when calling `story_id_collaborators_userid_permissiontype_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 if 'story_collaborator_userid' in local_var_params: path_params['story_collaborator_userid'] = local_var_params['story_collaborator_userid'] # noqa: E501 if 'permissiontype' in local_var_params: path_params['permissiontype'] = local_var_params['permissiontype'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/collaborators/authorize/{story_collaborator_userid}/{permissiontype}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_collaborators_userid_put(self, id, story_collaborator_userid, story_collaborator, **kwargs): # noqa: E501 """story_id_collaborators_userid_put # noqa: E501 Modify a collaborator's permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_put(id, story_collaborator_userid, story_collaborator, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param StoryCollaborator story_collaborator: Collaborator user id (presalytics userid) and permission type (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: StoryCollaborator If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_collaborators_userid_put_with_http_info(id, story_collaborator_userid, story_collaborator, **kwargs) # noqa: E501 def story_id_collaborators_userid_put_with_http_info(self, id, story_collaborator_userid, story_collaborator, **kwargs): # noqa: E501 """story_id_collaborators_userid_put # noqa: E501 Modify a collaborator's permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_collaborators_userid_put_with_http_info(id, story_collaborator_userid, story_collaborator, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str story_collaborator_userid: The presalytics userid (NOT the Id of the story_collaborator object) (required) :param StoryCollaborator story_collaborator: Collaborator user id (presalytics userid) and permission type (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(StoryCollaborator, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'story_collaborator_userid', 'story_collaborator'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_collaborators_userid_put" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_collaborators_userid_put`") # noqa: E501 # verify the required parameter 'story_collaborator_userid' is set if ('story_collaborator_userid' not in local_var_params or local_var_params['story_collaborator_userid'] is None): raise ApiValueError("Missing the required parameter `story_collaborator_userid` when calling `story_id_collaborators_userid_put`") # noqa: E501 # verify the required parameter 'story_collaborator' is set if ('story_collaborator' not in local_var_params or local_var_params['story_collaborator'] is None): raise ApiValueError("Missing the required parameter `story_collaborator` when calling `story_id_collaborators_userid_put`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 if 'story_collaborator_userid' in local_var_params: path_params['story_collaborator_userid'] = local_var_params['story_collaborator_userid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'story_collaborator' in local_var_params: body_params = local_var_params['story_collaborator'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/collaborators/{story_collaborator_userid}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='StoryCollaborator', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_delete(self, id, **kwargs): # noqa: E501 """Remove story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_delete(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_delete_with_http_info(id, **kwargs) # noqa: E501 def story_id_delete_with_http_info(self, id, **kwargs): # noqa: E501 """Remove story # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_delete_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_file_ooxmlautomationid_get(self, id, ooxml_automation_id, **kwargs): # noqa: E501 """story_id_file_ooxmlautomationid_get # noqa: E501 Get updated story as open office xml file (e.g., .pptx, .docx, .xlsx) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_file_ooxmlautomationid_get(id, ooxml_automation_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str ooxml_automation_id: the id of the ooxml_automation object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: file If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_file_ooxmlautomationid_get_with_http_info(id, ooxml_automation_id, **kwargs) # noqa: E501 def story_id_file_ooxmlautomationid_get_with_http_info(self, id, ooxml_automation_id, **kwargs): # noqa: E501 """story_id_file_ooxmlautomationid_get # noqa: E501 Get updated story as open office xml file (e.g., .pptx, .docx, .xlsx) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_file_ooxmlautomationid_get_with_http_info(id, ooxml_automation_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param str ooxml_automation_id: the id of the ooxml_automation object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(file, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'ooxml_automation_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_file_ooxmlautomationid_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_file_ooxmlautomationid_get`") # noqa: E501 # verify the required parameter 'ooxml_automation_id' is set if ('ooxml_automation_id' not in local_var_params or local_var_params['ooxml_automation_id'] is None): raise ApiValueError("Missing the required parameter `ooxml_automation_id` when calling `story_id_file_ooxmlautomationid_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 if 'ooxml_automation_id' in local_var_params: path_params['ooxml_automation_id'] = local_var_params['ooxml_automation_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/vnd.openxmlformats-officedocument.presentationml.presentation', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}/file/{ooxml_automation_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='file', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_get(self, id, **kwargs): # noqa: E501 """Returns story metadata, inlcuding json object with story outline # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_get(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Story If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_get_with_http_info(id, **kwargs) # noqa: E501 def story_id_get_with_http_info(self, id, **kwargs): # noqa: E501 """Returns story metadata, inlcuding json object with story outline # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_get_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Story, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Story', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_id_put(self, id, story, **kwargs): # noqa: E501 """Update story metadata, including story outline # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_put(id, story, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param Story story: The updated story object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Story If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_id_put_with_http_info(id, story, **kwargs) # noqa: E501 def story_id_put_with_http_info(self, id, story, **kwargs): # noqa: E501 """Update story metadata, including story outline # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_id_put_with_http_info(id, story, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param Story story: The updated story object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Story, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'story'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_id_put" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_id_put`") # noqa: E501 # verify the required parameter 'story' is set if ('story' not in local_var_params or local_var_params['story'] is None): raise ApiValueError("Missing the required parameter `story` when calling `story_id_put`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'story' in local_var_params: body_params = local_var_params['story'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Story', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_permission_types_get(self, **kwargs): # noqa: E501 """story_permission_types_get # noqa: E501 Returns a list of possible user permission types # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_permission_types_get(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[PermissionType] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_permission_types_get_with_http_info(**kwargs) # noqa: E501 def story_permission_types_get_with_http_info(self, **kwargs): # noqa: E501 """story_permission_types_get # noqa: E501 Returns a list of possible user permission types # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_permission_types_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[PermissionType], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_permission_types_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/permission_types', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[PermissionType]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_post(self, outline, **kwargs): # noqa: E501 """Upload new story to presalytics api # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_post(outline, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Outline outline: A story outline json object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Story If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_post_with_http_info(outline, **kwargs) # noqa: E501 def story_post_with_http_info(self, outline, **kwargs): # noqa: E501 """Upload new story to presalytics api # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_post_with_http_info(outline, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Outline outline: A story outline json object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Story, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['outline'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'outline' is set if ('outline' not in local_var_params or local_var_params['outline'] is None): raise ApiValueError("Missing the required parameter `outline` when calling `story_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'outline' in local_var_params: body_params = local_var_params['outline'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Story', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_post_file(self, **kwargs): # noqa: E501 """Upload new story to presalytics api via an Open Office Xml file # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_post_file(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param list[file] file: :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Story If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_post_file_with_http_info(**kwargs) # noqa: E501 def story_post_file_with_http_info(self, **kwargs): # noqa: E501 """Upload new story to presalytics api via an Open Office Xml file # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_post_file_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param list[file] file: :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Story, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['file'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_post_file" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} if 'file' in local_var_params: local_var_files['file'] = local_var_params['file'] # noqa: E501 collection_formats['file'] = 'csv' # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['multipart/form-data']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/file', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Story', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def story_teller_id_get(self, id, **kwargs): # noqa: E501 """story_teller_id_get # noqa: E501 Render story as reveal.js web document # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_teller_id_get(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.story_teller_id_get_with_http_info(id, **kwargs) # noqa: E501 def story_teller_id_get_with_http_info(self, id, **kwargs): # noqa: E501 """story_teller_id_get # noqa: E501 Render story as reveal.js web document # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.story_teller_id_get_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: the id from the story object (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method story_teller_id_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if ('id' not in local_var_params or local_var_params['id'] is None): raise ApiValueError("Missing the required parameter `id` when calling `story_teller_id_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/html', 'application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/teller/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

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1

0

1

0

null

0

8

946f1bb1863c937e2374d221702e27c26cb0224e

115

py

Python

h_transformer_1d/__init__.py

stefaj/h-transformer-1d

2cbb266aa4f4d9480a093bcd9229c28019c35dbb

[ "MIT" ]

null

h_transformer_1d/__init__.py

stefaj/h-transformer-1d

2cbb266aa4f4d9480a093bcd9229c28019c35dbb

[ "MIT" ]

null

h_transformer_1d/__init__.py

stefaj/h-transformer-1d

2cbb266aa4f4d9480a093bcd9229c28019c35dbb

[ "MIT" ]

null

from h_transformer_1d.h_transformer_1d import HTransformer1D,CausalHAttention1D,HAttention1D, FeedForward, PreNorm

57.5

114

0.904348

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115

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0

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true

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1

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7

84ab71dfc0e276124b989a8f43209ded0fa70ed3

8,862

py

Python

pyspark/local/classification/src/train.py

cipriancus/FakeTwitterDetection

24226473ecce07eae2f3bcce3b11d8b3b0741752

[ "Apache-2.0" ]

3

2017-10-16T17:47:01.000Z

2018-03-05T07:54:56.000Z

pyspark/local/classification/src/train.py

cocageorgiana/FakeTwitterDetection

24226473ecce07eae2f3bcce3b11d8b3b0741752

[ "Apache-2.0" ]

13

2017-10-25T17:06:21.000Z

2017-12-28T16:17:28.000Z

pyspark/local/classification/src/train.py

cocageorgiana/FakeTwitterDetection

24226473ecce07eae2f3bcce3b11d8b3b0741752

[ "Apache-2.0" ]

2

2018-03-31T17:45:38.000Z

2019-05-21T08:06:31.000Z

from pyspark import SparkContext import src.config as cfg import src.processing as prp import src.algorithms.SVM as svm import src.algorithms.NB as nb import src.algorithms.RandomForest as rf import time import warnings warnings.filterwarnings("ignore") testing_file_location = 'Test_feature_extracted.csv' training_file_location = 'Training_feature_extracted.csv' if __name__ == "__main__": import os print(os.getcwd()) spark_context = SparkContext("local", "Twitter"); testing_file_location = 'Test_feature_extracted.csv' training_file_location = 'Training_feature_extracted.csv' start_time = time.time() ############################################################################### training_data = prp.PreProcessing('../data/training_dataset.csv', 'Training') training_data.process() test_data = prp.PreProcessing('../data/test_dataset.csv', 'Test') test_data.process() ############################################################################### ##############################SVM############################################## svm_time = time.time() maxIter = 200 regParam = 0.0 tol = 1e-6 threshold = 0.0 aggregationDepth = 2 settings = [('maxIter', maxIter), ('regParam', regParam), ('tol', tol), ('threshold', threshold), ('aggregationDepth', aggregationDepth)] svm_classifier = svm.SVMClassifier(training_file_location, spark_context, maxIter, regParam, tol, threshold, aggregationDepth) svm_predict_test_data_class = svm_classifier.classify_testdata(testing_file_location) svm_classifier.confusion_matrix(svm_predict_test_data_class) print("SVM EXECUTION TIME " + str(time.time() - svm_time) + "for settings " + str(settings)) ############################################################################### ##############################SVM############################################## svm_time = time.time() maxIter = 100 regParam = 0.0 tol = 1e-7 threshold = 0.1 aggregationDepth = 3 settings = [('maxIter', maxIter), ('regParam', regParam), ('tol', tol), ('threshold', threshold), ('aggregationDepth', aggregationDepth)] svm_classifier = svm.SVMClassifier(training_file_location, spark_context, maxIter, regParam, tol, threshold, aggregationDepth) svm_predict_test_data_class = svm_classifier.classify_testdata(testing_file_location) svm_classifier.confusion_matrix(svm_predict_test_data_class) print("SVM EXECUTION TIME " + str(time.time() - svm_time) + "for settings " + str(settings)) ############################################################################### ##############################SVM############################################## svm_time = time.time() maxIter = 50 regParam = 0.1 tol = 1e-7 threshold = 0.1 aggregationDepth = 5 settings = [('maxIter', maxIter), ('regParam', regParam), ('tol', tol), ('threshold', threshold), ('aggregationDepth', aggregationDepth)] svm_classifier = svm.SVMClassifier(training_file_location, spark_context, maxIter, regParam, tol, threshold, aggregationDepth) svm_predict_test_data_class = svm_classifier.classify_testdata(testing_file_location) svm_classifier.confusion_matrix(svm_predict_test_data_class) print("SVM EXECUTION TIME " + str(time.time() - svm_time) + "for settings " + str(settings)) ############################################################################### ##############################RF############################################### rf_time = time.time() maxDepth = 5 maxBins = 32 minInstancesPerNode = 1 minInfoGain = 0.0 maxMemoryInMB = 256 impurity = "gini" numTrees = 50 settings = [('maxDepth', maxDepth), ('maxBins', maxBins), ('minInstancesPerNode', minInstancesPerNode), ('minInfoGain', minInfoGain), ('maxMemoryInMB', maxMemoryInMB), ('impurity', impurity), ('numTrees', numTrees)] rf_classifier = rf.RFClassifier(training_file_location, spark_context, maxDepth, maxBins, minInstancesPerNode, minInfoGain, maxMemoryInMB, impurity, numTrees) rf_predict_test_data_class = rf_classifier.classify_testdata(testing_file_location) rf_classifier.confusion_matrix(rf_predict_test_data_class) print("RF EXECUTION TIME " + str(time.time() - rf_time) + "for settings " + str(settings)) ############################################################################## ##############################RF############################################### rf_time = time.time() maxDepth = 10 maxBins = 32 minInstancesPerNode = 1 minInfoGain = 0.0 maxMemoryInMB = 256 impurity = "gini" numTrees = 100 settings = [('maxDepth', maxDepth), ('maxBins', maxBins), ('minInstancesPerNode', minInstancesPerNode), ('minInfoGain', minInfoGain), ('maxMemoryInMB', maxMemoryInMB), ('impurity', impurity), ('numTrees', numTrees)] rf_classifier = rf.RFClassifier(training_file_location, spark_context, maxDepth, maxBins, minInstancesPerNode, minInfoGain, maxMemoryInMB, impurity, numTrees) rf_predict_test_data_class = rf_classifier.classify_testdata(testing_file_location) rf_classifier.confusion_matrix(rf_predict_test_data_class) print("RF EXECUTION TIME " + str(time.time() - rf_time) + "for settings " + str(settings)) ############################################################################## ##############################RF############################################### rf_time = time.time() maxDepth = 10 maxBins = 32 minInstancesPerNode = 1 minInfoGain = 0.0 maxMemoryInMB = 1024 impurity = "gini" numTrees = 200 settings = [('maxDepth', maxDepth), ('maxBins', maxBins), ('minInstancesPerNode', minInstancesPerNode), ('minInfoGain', minInfoGain), ('maxMemoryInMB', maxMemoryInMB), ('impurity', impurity), ('numTrees', numTrees)] rf_classifier = rf.RFClassifier(training_file_location, spark_context, maxDepth, maxBins, minInstancesPerNode, minInfoGain, maxMemoryInMB, impurity, numTrees) rf_predict_test_data_class = rf_classifier.classify_testdata(testing_file_location) rf_classifier.confusion_matrix(rf_predict_test_data_class) print("RF EXECUTION TIME " + str(time.time() - rf_time) + "for settings " + str(settings)) ############################################################################## ##############################NB############################################### nb_time = time.time() smoothing = 1.0 modelType = "multinomial" settings = [('smoothing', smoothing), ('modelType', modelType)] nb_classifier = nb.NbClassifier(training_file_location, spark_context, smoothing, modelType) nb_predict_test_data_class = nb_classifier.classify_testdata(testing_file_location) accuracy_nb = nb_classifier.confusion_matrix(nb_predict_test_data_class) print("NB EXECUTION TIME " + str(time.time() - nb_time) + "for settings " + str(settings)) ############################################################################## ##############################NB############################################### nb_time = time.time() smoothing = 3.0 modelType = "multinomial" settings = [('smoothing', smoothing), ('modelType', modelType)] nb_classifier = nb.NbClassifier(training_file_location, spark_context, smoothing, modelType) nb_predict_test_data_class = nb_classifier.classify_testdata(testing_file_location) accuracy_nb = nb_classifier.confusion_matrix(nb_predict_test_data_class) print("NB EXECUTION TIME " + str(time.time() - nb_time) + "for settings " + str(settings)) ############################################################################## ##############################NB############################################### nb_time = time.time() smoothing = 4.0 modelType = "multinomial" settings = [('smoothing', smoothing), ('modelType', modelType)] nb_classifier = nb.NbClassifier(training_file_location, spark_context, smoothing, modelType) nb_predict_test_data_class = nb_classifier.classify_testdata(testing_file_location) accuracy_nb = nb_classifier.confusion_matrix(nb_predict_test_data_class) print("NB EXECUTION TIME " + str(time.time() - nb_time) + "for settings " + str(settings)) ############################################################################## print("Total Execution time is " + str(time.time() - start_time))

43.871287

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0.11519

0.050083

0.056344

0.075125

0.882304

0.877087

0.87187

0.858097

0

0.009947

0.171857

8,862

201

115

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0.643003

0.00237

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0.022503

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null

0

1

0

1

0

null

0

7

84b6de6f5aa72be9c3df47ea20307b20ea77b410

168

py

Python

app_server/app/api/dependencies/file.py

dumaevrinat/lung_diseases

caa24a0c263e82106f585b7bcb0c57417fc9a06a

[ "MIT" ]

3

2021-05-09T01:50:41.000Z

2022-01-06T08:07:48.000Z

app_server/app/api/dependencies/file.py

dumaevrinat/lung_diseases

caa24a0c263e82106f585b7bcb0c57417fc9a06a

[ "MIT" ]

null

app_server/app/api/dependencies/file.py

dumaevrinat/lung_diseases

caa24a0c263e82106f585b7bcb0c57417fc9a06a

[ "MIT" ]

null

from fastapi import UploadFile, File from app.service.file import get_extension def get_file_extension(file: UploadFile = File(...)): return get_extension(file)

21

53

0.77381

23

168

5.478261

0.478261

0.222222

0

0.136905

168

7

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1

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null

1

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1

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null

0

1

0

1

0

7

84d31487a0a92c188adfbfc38735fed7b9d7cc8f

32,059

py

Python

ch3/length_of_longest_substring.py

qiuhuachuan/leetcode

d5d4f123728093e3528180b64781719d608b61fa

[ "MIT" ]

null

ch3/length_of_longest_substring.py

qiuhuachuan/leetcode

d5d4f123728093e3528180b64781719d608b61fa

[ "MIT" ]

null

ch3/length_of_longest_substring.py

qiuhuachuan/leetcode

d5d4f123728093e3528180b64781719d608b61fa

[ "MIT" ]

null

''' 给定一个字符串，请你找出其中不含有重复字符的最长子串的长度。 ''' class Solution: def length_of_longest_substring(self, s: str) -> int: st = {} i, ans = 0, 0 for j in range(len(s)): if s[j] in st: i = max(st[s[j]], i) ans = max(ans, j - i + 1) st[s[j]] = j + 1 return ans s_str = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ 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abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCD" s = Solution() print(s.length_of_longest_substring(s_str))

1,781.055556

31,663

0.647837

389

32,059

52.532134

0.079692

1.972107

2.949058

3.919941

0.989087

0

0.10333

0.014692

32,059

18

31,664

1,781.055556

0.543593

0.000998

0

0.652592

0.645815

0

1

0.076923

false

0

0.230769

0.076923

0

1

null

1

0

1

0

1

null

0

14

ca8c7312a69347b4be39f111ca257b7bf9560e5c

222

py

Python

chainerui/__init__.py

chainer/chainerui

91c5c26d9154a008079dbb0bcbf69b5590d105f7

[ "MIT" ]

185

2017-12-15T09:24:07.000Z

2022-01-20T11:20:13.000Z

chainerui/__init__.py

chainer/chainerui

91c5c26d9154a008079dbb0bcbf69b5590d105f7

[ "MIT" ]

191

2017-12-15T09:14:52.000Z

2022-02-17T14:09:19.000Z

chainerui/__init__.py

chainer/chainerui

91c5c26d9154a008079dbb0bcbf69b5590d105f7

[ "MIT" ]

29

2017-12-15T09:40:45.000Z

2022-03-13T11:21:11.000Z

from chainerui import _version from chainerui.client.client import init # NOQA from chainerui.client.client import log # NOQA from chainerui.client.client import log_reporter # NOQA __version__ = _version.__version__

27.75

56

0.815315

29

222

5.862069

0.310345

0.305882

0.335294

0.441176

0.629412

0.447059

0

0.135135

222

7

57

31.714286

0.885417

0.063063

0

1

0

false

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

04ab06be4c561f6cde5817bdcea2a271b22e838b

4,470

py

Python

Server/app/docs/user.py

JoMingyu/BookCheck-Backend

fbe71a39e385a3c739e7e40ab1153efbe7835576

[ "MIT" ]

1

2018-04-12T10:51:49.000Z

Server/app/docs/user.py

JoMingyu/BookCheck-Backend

fbe71a39e385a3c739e7e40ab1153efbe7835576

[ "MIT" ]

null

Server/app/docs/user.py

JoMingyu/BookCheck-Backend

fbe71a39e385a3c739e7e40ab1153efbe7835576

[ "MIT" ]

null

SIGNUP_POST = { 'tags': ['계정'], 'description': '일반 사용자 회원가입', 'parameters': [ { 'name': 'id', 'description': '사용자 ID', 'in': 'formData', 'type': 'str', 'required': True }, { 'name': 'pw', 'description': '사용자 비밀번호', 'in': 'formData', 'type': 'str', 'required': True } ], 'responses': { '201': { 'description': '회원가입 성공' }, '204': { 'description': '회원가입 실패(이미 가입된 ID)' } } } AUTH_COMMON_USER_POST = { 'tags': ['계정'], 'description': '일반 사용자 로그인. Access Token과 Refresh Token을 반환합니다.', 'parameters': [ { 'name': 'id', 'description': '사용자 ID', 'in': 'formData', 'type': 'str', 'required': True }, { 'name': 'pw', 'description': '사용자 비밀번호', 'in': 'formData', 'type': 'str', 'required': True } ], 'responses': { '200': { 'description': '로그인 성공', 'examples': { 'application/json': { "access_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE1MTI2NDAzOTgsImlhdCI6MTUxMjM4MTE5OCwibmJmIjoxNTEyMzgxMTk4LCJqdGkiOiJiNGY5YzIxMS00Mzc4LTRhYmQtOTNlNi00ZjNmYTM1MGZiYWIiLCJpZGVudGl0eSI6ImNpdHk3MzEwQG5hdmVyLmNvbSIsImZyZXNoIjpmYWxzZSwidHlwZSI6ImFjY2VzcyJ9.ryXc6WsRutdBsZFFDZUtP9Cd_JV8w2fdsI4NE_XICYs", "refresh_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE1NDM5MTcxOTgsImlhdCI6MTUxMjM4MTE5OCwibmJmIjoxNTEyMzgxMTk4LCJqdGkiOiJiZDU0Nzk3Zi02MDU0LTQxZjQtOTc5ZC1mYzQ0ZjNjMTM5YzgiLCJpZGVudGl0eSI6IjcwMmRiNmI2LWE5NTEtNDJjZi1hOGRmLTc4MjdiYTRhNzhjYyIsInR5cGUiOiJyZWZyZXNoIn0.CyRz9KMKgWh0Fv1M7DVHTbntBG3uAPKre3fbFUk18eI" } } }, '401': { 'description': '로그인 실패(올바르지 않은 ID 또는 PW)' } } } AUTH_ADMIN_POST = { 'tags': ['계정'], 'description': '관리자 로그인. Access Token과 Refresh Token을 반환합니다.', 'parameters': [ { 'name': 'id', 'description': '사용자 ID', 'in': 'formData', 'type': 'str', 'required': True }, { 'name': 'pw', 'description': '사용자 비밀번호', 'in': 'formData', 'type': 'str', 'required': True } ], 'responses': { '200': { 'description': '로그인 성공', 'examples': { 'application/json': { "access_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE1MTI2NDAzOTgsImlhdCI6MTUxMjM4MTE5OCwibmJmIjoxNTEyMzgxMTk4LCJqdGkiOiJiNGY5YzIxMS00Mzc4LTRhYmQtOTNlNi00ZjNmYTM1MGZiYWIiLCJpZGVudGl0eSI6ImNpdHk3MzEwQG5hdmVyLmNvbSIsImZyZXNoIjpmYWxzZSwidHlwZSI6ImFjY2VzcyJ9.ryXc6WsRutdBsZFFDZUtP9Cd_JV8w2fdsI4NE_XICYs", "refresh_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE1NDM5MTcxOTgsImlhdCI6MTUxMjM4MTE5OCwibmJmIjoxNTEyMzgxMTk4LCJqdGkiOiJiZDU0Nzk3Zi02MDU0LTQxZjQtOTc5ZC1mYzQ0ZjNjMTM5YzgiLCJpZGVudGl0eSI6IjcwMmRiNmI2LWE5NTEtNDJjZi1hOGRmLTc4MjdiYTRhNzhjYyIsInR5cGUiOiJyZWZyZXNoIn0.CyRz9KMKgWh0Fv1M7DVHTbntBG3uAPKre3fbFUk18eI" } } }, '401': { 'description': '로그인 실패(올바르지 않은 ID 또는 PW)' } } } REFRESH_POST = { 'tags': ['계정'], 'description': '새로운 Access Token 발급', 'parameters': [ { 'name': 'Authorization', 'description': 'JWT Refresh Token(JWT ***)', 'in': 'header', 'type': 'str', 'required': True } ], 'responses': { '200': { 'description': '인증 성공, 새로운 Access Token 발급', 'examples': { 'application/json': { "access_token": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJleHAiOjE1MTI2NDAzOTgsImlhdCI6MTUxMjM4MTE5OCwibmJmIjoxNTEyMzgxMTk4LCJqdGkiOiJiNGY5YzIxMS00Mzc4LTRhYmQtOTNlNi00ZjNmYTM1MGZiYWIiLCJpZGVudGl0eSI6ImNpdHk3MzEwQG5hdmVyLmNvbSIsImZyZXNoIjpmYWxzZSwidHlwZSI6ImFjY2VzcyJ9.ryXc6WsRutdBsZFFDZUtP9Cd_JV8w2fdsI4NE_XICYs", } } }, '205': { 'description': '다른 디바이스에서 비밀번호가 변경되어 재로그인 필요' }, '403': { 'description': 'Refresh Token의 내부가 변조되어 재로그인 필요' } } }

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7

04ba39da08c0e8bf893a2850e3ca8d73bd4d532f

60

py

Python

boost_python/lib/hello.py

red2901/sandbox

fae6c1624cc9957593d030f3b0306dbded29f0a2

[ "MIT" ]

1

2016-05-16T02:27:46.000Z

boost_python/lib/hello.py

red2901/sandbox

fae6c1624cc9957593d030f3b0306dbded29f0a2

[ "MIT" ]

null

boost_python/lib/hello.py

red2901/sandbox

fae6c1624cc9957593d030f3b0306dbded29f0a2

[ "MIT" ]

null

import boost_hello_world print (boost_hello_world.greet())

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0

1

0

7

8e0c58b247f68b218268f5e091e012eac7a0d665

18,596

py

Python

tests/integ/vlen_test.py

JonosGit/hsds

4abc4fc22c1e75cc9b15c879c8d00448a115fc92

[ "Apache-2.0" ]

1

2020-03-12T12:26:26.000Z

tests/integ/vlen_test.py

JonosGit/hsds

4abc4fc22c1e75cc9b15c879c8d00448a115fc92

[ "Apache-2.0" ]

null

tests/integ/vlen_test.py

JonosGit/hsds

4abc4fc22c1e75cc9b15c879c8d00448a115fc92

[ "Apache-2.0" ]

null

############################################################################## # Copyright by The HDF Group. # # All rights reserved. # # # # This file is part of HSDS (HDF5 Scalable Data Service), Libraries and # # Utilities. The full HSDS copyright notice, including # # terms governing use, modification, and redistribution, is contained in # # the file COPYING, which can be found at the root of the source code # # distribution tree. If you do not have access to this file, you may # # request a copy from help@hdfgroup.org. # ############################################################################## import unittest import requests import json import helper import numpy as np import sys sys.path.append('../../hsds/util') from arrayUtil import arrayToBytes, bytesToArray from hdf5dtype import createDataType class VlenTest(unittest.TestCase): def __init__(self, *args, **kwargs): super(VlenTest, self).__init__(*args, **kwargs) self.base_domain = helper.getTestDomainName(self.__class__.__name__) helper.setupDomain(self.base_domain) self.endpoint = helper.getEndpoint() # main def testPutVLenInt(self): # Test PUT value for 1d attribute with variable length int types print("testPutVLenInt", self.base_domain) headers = helper.getRequestHeaders(domain=self.base_domain) req = self.endpoint + '/' # Get root uuid rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) root_uuid = rspJson["root"] helper.validateId(root_uuid) # create dataset vlen_type = {"class": "H5T_VLEN", "base": { "class": "H5T_INTEGER", "base": "H5T_STD_I32LE"}} payload = {'type': vlen_type, 'shape': [4,]} req = self.endpoint + "/datasets" rsp = requests.post(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create dataset rspJson = json.loads(rsp.text) dset_uuid = rspJson['id'] self.assertTrue(helper.validateId(dset_uuid)) # link new dataset as 'dset' name = 'dset' req = self.endpoint + "/groups/" + root_uuid + "/links/" + name payload = {"id": dset_uuid} rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # write values to dataset data = [[1,], [1,2], [1,2,3], [1,2,3,4]] req = self.endpoint + "/datasets/" + dset_uuid + "/value" payload = { 'value': data } rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 200) # read values from dataset rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), 4) for i in range(4): self.assertEqual(value[i], data[i]) # read back a selection params = {"select": "[2:3]"} rsp = requests.get(req, headers=headers, params=params) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), 1) self.assertEqual(value[0], data[2]) def testPutVLenIntBinary(self): # Test PUT value for 1d attribute with variable length int types using binary transfer print("testPutVLenIntBinary", self.base_domain) count = 4 test_values = [] for i in range(count): e = [1,] for j in range(0,i): e.append(j+2) test_values.append(e) # test_values == [[1], [1,2]] headers = helper.getRequestHeaders(domain=self.base_domain) headers_bin_req = helper.getRequestHeaders(domain=self.base_domain) headers_bin_req["Content-Type"] = "application/octet-stream" headers_bin_rsp = helper.getRequestHeaders(domain=self.base_domain) headers_bin_rsp["accept"] = "application/octet-stream" req = self.endpoint + '/' # Get root uuid rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) root_uuid = rspJson["root"] helper.validateId(root_uuid) # create dataset vlen_type = {"class": "H5T_VLEN", "base": { "class": "H5T_INTEGER", "base": "H5T_STD_I32LE"}} payload = {'type': vlen_type, 'shape': [count,]} req = self.endpoint + "/datasets" rsp = requests.post(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create dataset rspJson = json.loads(rsp.text) dset_uuid = rspJson['id'] self.assertTrue(helper.validateId(dset_uuid)) # link new dataset as 'dset' name = 'dset' req = self.endpoint + "/groups/" + root_uuid + "/links/" + name payload = {"id": dset_uuid} rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create numpy vlen array dt = np.dtype('O', metadata={'vlen': np.dtype('int32')}) arr = np.zeros((count,), dtype=dt) for i in range(count): arr[i] = np.int32(test_values[i]) # write as binary data data = arrayToBytes(arr) self.assertEqual(len(data), 56) req = self.endpoint + "/datasets/" + dset_uuid + "/value" rsp = requests.put(req, data=data, headers=headers_bin_req) self.assertEqual(rsp.status_code, 200) # read values from dataset with json rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), count) for i in range(count): self.assertEqual(value[i], test_values[i]) # read as binary rsp = requests.get(req, headers=headers_bin_rsp) self.assertEqual(rsp.status_code, 200) self.assertEqual(rsp.headers['Content-Type'], "application/octet-stream") data = rsp.content self.assertEqual(len(data), 56) arr = bytesToArray(data, dt, [count,]) for i in range(count): self.assertEqual(value[i], test_values[i]) # read back a selection params = {"select": "[2:3]"} rsp = requests.get(req, headers=headers, params=params) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), 1) self.assertEqual(value[0], [1,2,3]) def testPutVLen2DInt(self): # Test PUT value for 1d attribute with variable length int types print("testPutVLen2DInt", self.base_domain) nrow = 2 ncol = 2 headers = helper.getRequestHeaders(domain=self.base_domain) req = self.endpoint + '/' # Get root uuid rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) root_uuid = rspJson["root"] helper.validateId(root_uuid) # create dataset vlen_type = {"class": "H5T_VLEN", "base": { "class": "H5T_INTEGER", "base": "H5T_STD_I32LE"}} payload = {'type': vlen_type, 'shape': [nrow,ncol]} req = self.endpoint + "/datasets" rsp = requests.post(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create dataset rspJson = json.loads(rsp.text) dset_uuid = rspJson['id'] self.assertTrue(helper.validateId(dset_uuid)) # link new dataset as 'dset' name = 'dset' req = self.endpoint + "/groups/" + root_uuid + "/links/" + name payload = {"id": dset_uuid} rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # write values to dataset data = [] for i in range(nrow): row = [] for j in range(ncol): start = i+j end = start+j+1 row.append(list(range(start,end))) data.append(row) req = self.endpoint + "/datasets/" + dset_uuid + "/value" payload = { 'value': data } rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 200) # read values from dataset rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), nrow) for i in range(nrow): for j in range(ncol): self.assertEqual(value[i][j], data[i][j]) # read values from dataset using selection params = {"select": "[0:1,0:2]"} rsp = requests.get(req, headers=headers, params=params) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), 1) self.assertEqual(len(value[0]), 2) self.assertEqual(value[0][0], [0]) self.assertEqual(value[0][1], [1,2]) def testPutVLenString(self): # Test PUT value for 1d attribute with variable length string types print("testPutVLenString", self.base_domain) headers = helper.getRequestHeaders(domain=self.base_domain) req = self.endpoint + '/' # Get root uuid rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) root_uuid = rspJson["root"] helper.validateId(root_uuid) # create dataset vlen_type = {"class": "H5T_STRING", "charSet": "H5T_CSET_ASCII", "strPad": "H5T_STR_NULLTERM", "length": "H5T_VARIABLE"} payload = {'type': vlen_type, 'shape': [4,]} req = self.endpoint + "/datasets" rsp = requests.post(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create dataset rspJson = json.loads(rsp.text) dset_uuid = rspJson['id'] self.assertTrue(helper.validateId(dset_uuid)) # link new dataset as 'dset' name = 'dset' req = self.endpoint + "/groups/" + root_uuid + "/links/" + name payload = {"id": dset_uuid} rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # write values to dataset data = ["This is", "a variable length", "string", "array"] req = self.endpoint + "/datasets/" + dset_uuid + "/value" payload = { 'value': data } rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 200) # read values from dataset rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), 4) for i in range(4): self.assertEqual(value[i], data[i]) def testPutVLenCompound(self): # Test PUT value for 1d attribute with variable length int types print("testPutVLenCompound", self.base_domain) headers = helper.getRequestHeaders(domain=self.base_domain) req = self.endpoint + '/' # Get root uuid rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) root_uuid = rspJson["root"] helper.validateId(root_uuid) count = 4 # create dataset fixed_str8_type = {"charSet": "H5T_CSET_ASCII", "class": "H5T_STRING", "length": 8, "strPad": "H5T_STR_NULLPAD" } fields = [ {"type": {"class": "H5T_INTEGER", "base": "H5T_STD_U64BE"}, "name": "VALUE1"}, {"type": fixed_str8_type, "name": "VALUE2"}, {"type": {"class": "H5T_ARRAY", "dims": [2], "base": {"class": "H5T_STRING", "charSet": "H5T_CSET_ASCII", "strPad": "H5T_STR_NULLTERM", "length": "H5T_VARIABLE"}}, "name": "VALUE3"}] datatype = {'class': 'H5T_COMPOUND', 'fields': fields } payload = {'type': datatype, 'shape': [count,]} req = self.endpoint + "/datasets" rsp = requests.post(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create dataset rspJson = json.loads(rsp.text) dset_uuid = rspJson['id'] self.assertTrue(helper.validateId(dset_uuid)) # link new dataset as 'dset' name = 'dset' req = self.endpoint + "/groups/" + root_uuid + "/links/" + name payload = {"id": dset_uuid} rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # write values to dataset data = [] for i in range(count): s = '' for j in range(i+5): offset = (i + j)%256 s += chr(ord('A') + offset) e = [i+1, s, ["Hi! "*(i+1), "Bye!" *(i+1)]] data.append(e) req = self.endpoint + "/datasets/" + dset_uuid + "/value" payload = { 'value': data } rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 200) # read values from dataset rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), count) def testPutVLenCompoundBinary(self): # Test PUT value for 1d attribute with variable length int types print("testPutVLenCompoundBinary", self.base_domain) headers = helper.getRequestHeaders(domain=self.base_domain) headers_bin_req = helper.getRequestHeaders(domain=self.base_domain) headers_bin_req["Content-Type"] = "application/octet-stream" headers_bin_rsp = helper.getRequestHeaders(domain=self.base_domain) headers_bin_rsp["accept"] = "application/octet-stream" req = self.endpoint + '/' # Get root uuid rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) root_uuid = rspJson["root"] helper.validateId(root_uuid) count = 4 # create dataset fixed_str8_type = {"charSet": "H5T_CSET_ASCII", "class": "H5T_STRING", "length": 8, "strPad": "H5T_STR_NULLPAD" } fields = [ {"type": {"class": "H5T_INTEGER", "base": "H5T_STD_U64BE"}, "name": "VALUE1"}, {"type": fixed_str8_type, "name": "VALUE2"}, {"type": {"class": "H5T_ARRAY", "dims": [2], "base": {"class": "H5T_STRING", "charSet": "H5T_CSET_ASCII", "strPad": "H5T_STR_NULLTERM", "length": "H5T_VARIABLE"}}, "name": "VALUE3"}] datatype = {'class': 'H5T_COMPOUND', 'fields': fields } payload = {'type': datatype, 'shape': [count,]} req = self.endpoint + "/datasets" rsp = requests.post(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) # create dataset rspJson = json.loads(rsp.text) dset_uuid = rspJson['id'] self.assertTrue(helper.validateId(dset_uuid)) # link new dataset as 'dset' name = 'dset' req = self.endpoint + "/groups/" + root_uuid + "/links/" + name payload = {"id": dset_uuid} rsp = requests.put(req, data=json.dumps(payload), headers=headers) self.assertEqual(rsp.status_code, 201) dt_compound = createDataType(datatype) # create numpy vlen array arr = np.zeros((count,), dtype=dt_compound) for i in range(count): e = arr[i] e['VALUE1'] = i+1 s = '' for j in range(i+5): offset = (i + j)%26 s += chr(ord('A') + offset) e['VALUE2'] = s e['VALUE3'] = ["Hi! "*(i+1), "Bye!" *(i+1)] # write as binary data data = arrayToBytes(arr) self.assertEqual(len(data), 192) # will vary based on count req = self.endpoint + "/datasets/" + dset_uuid + "/value" rsp = requests.put(req, data=data, headers=headers_bin_req) self.assertEqual(rsp.status_code, 200) # read values from dataset as json rsp = requests.get(req, headers=headers) self.assertEqual(rsp.status_code, 200) rspJson = json.loads(rsp.text) self.assertTrue("hrefs" in rspJson) self.assertTrue("value" in rspJson) value = rspJson["value"] self.assertEqual(len(value), count) # read as binary rsp = requests.get(req, headers=headers_bin_rsp) self.assertEqual(rsp.status_code, 200) self.assertEqual(rsp.headers['Content-Type'], "application/octet-stream") data = rsp.content self.assertEqual(len(data), 192) arr = bytesToArray(data, dt_compound, [count,]) if __name__ == '__main__': #setup test files unittest.main()

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f3cbb3ec15185163a600d7b1b8bf7e1226bac2a9

29,334

py

Python

systran_resources_api/apis/dictionary_api.py

SYSTRAN/resources-api-python-client

c1640a6ff81f7774d3c0cf02ddb28a412f7a027b

[ "Apache-2.0" ]

13

2016-01-26T09:10:22.000Z

2016-10-10T15:39:48.000Z

systran_resources_api/apis/dictionary_api.py

SYSTRAN/resources-api-python-client

c1640a6ff81f7774d3c0cf02ddb28a412f7a027b

[ "Apache-2.0" ]

1

2016-08-08T17:16:32.000Z

2016-08-09T09:34:14.000Z

systran_resources_api/apis/dictionary_api.py

SYSTRAN/resources-api-python-client

c1640a6ff81f7774d3c0cf02ddb28a412f7a027b

[ "Apache-2.0" ]

2

2016-05-13T23:53:44.000Z

2021-02-09T23:18:01.000Z

#!/usr/bin/env python # coding: utf-8 """ Copyright 2015 SYSTRAN Software, Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import import sys import os # python 2 and python 3 compatibility library from six import iteritems from .. import configuration from ..api_client import ApiClient class DictionaryApi(object): def __init__(self, api_client=None): if api_client: self.api_client = api_client else: if not configuration.api_client: configuration.api_client = ApiClient('https://api-platform.systran.net') self.api_client = configuration.api_client def resources_dictionary_add_post(self, input, **kwargs): """ Add dictionary Add a new dictionary. :param DictionaryAddBody input: Input with dictionary information (required) :return: DictionaryAddResponse """ # verify the required parameter 'input' is set if input is None: raise ValueError("Missing the required parameter `input` when calling `resources_dictionary_add_post`") all_params = ['input'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_add_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/add'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} header_params = {} form_params = {} files = {} body_params = None if 'input' in params: body_params = params['input'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='DictionaryAddResponse', auth_settings=auth_settings) return response def resources_dictionary_delete_post(self, dictionary_id, **kwargs): """ Delete a dictionary Delete an existing dictionary. :param str dictionary_id: Dictionary Id (required) :return: None """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_delete_post`") all_params = ['dictionary_id'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_delete_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/delete'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] header_params = {} form_params = {} files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response=None, auth_settings=auth_settings) def resources_dictionary_entry_add_post(self, dictionary_id, input, **kwargs): """ Add an entry Add a new entry to an existing dictionary. :param str dictionary_id: Dictionary Id (required) :param EntryAddBody input: Input with dictionary id and entries information (required) :return: EntryAddResponse """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_entry_add_post`") # verify the required parameter 'input' is set if input is None: raise ValueError("Missing the required parameter `input` when calling `resources_dictionary_entry_add_post`") all_params = ['dictionary_id', 'input'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_entry_add_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/entry/add'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] header_params = {} form_params = {} files = {} body_params = None if 'input' in params: body_params = params['input'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='EntryAddResponse', auth_settings=auth_settings) return response def resources_dictionary_entry_delete_post(self, dictionary_id, input, **kwargs): """ Delete an entry Delete an entry in an existing dictionary. :param str dictionary_id: Dictionary Id (required) :param EntryDeleteBody input: Input with dictionary id + entry id (src or tgt) to delete (required) :return: EntryDeleteResponse """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_entry_delete_post`") # verify the required parameter 'input' is set if input is None: raise ValueError("Missing the required parameter `input` when calling `resources_dictionary_entry_delete_post`") all_params = ['dictionary_id', 'input'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_entry_delete_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/entry/delete'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] header_params = {} form_params = {} files = {} body_params = None if 'input' in params: body_params = params['input'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='EntryDeleteResponse', auth_settings=auth_settings) return response def resources_dictionary_entry_import_post(self, dictionary_id, source_lang, input_file, **kwargs): """ Import entries Import entries to an existing dictionary. :param str dictionary_id: Id of the dictionary where to import entries (required) :param str source_lang: Source lang of the entries to import (required) :param File input_file: File with entries to import (required) :return: DictionariesImportResponse """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_entry_import_post`") # verify the required parameter 'source_lang' is set if source_lang is None: raise ValueError("Missing the required parameter `source_lang` when calling `resources_dictionary_entry_import_post`") # verify the required parameter 'input_file' is set if input_file is None: raise ValueError("Missing the required parameter `input_file` when calling `resources_dictionary_entry_import_post`") all_params = ['dictionary_id', 'source_lang', 'input_file'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_entry_import_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/entry/import'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] if 'source_lang' in params: query_params['sourceLang'] = params['source_lang'] header_params = {} form_params = {} files = {} if 'input_file' in params: files['inputFile'] = params['input_file'] body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type(['multipart/form-data', 'application/x-www-form-urlencoded', '*/*']) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='DictionariesImportResponse', auth_settings=auth_settings) return response def resources_dictionary_entry_list_post(self, dictionary_id, **kwargs): """ List entries List entries for a specific dictionary. :param str dictionary_id: Dictionary Id (required) :param EntriesListFilters filters: Different filters that can be applied to the list functionality (skip/limit/sort/match) :return: EntriesListResponse """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_entry_list_post`") all_params = ['dictionary_id', 'filters'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_entry_list_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/entry/list'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] header_params = {} form_params = {} files = {} body_params = None if 'filters' in params: body_params = params['filters'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='EntriesListResponse', auth_settings=auth_settings) return response def resources_dictionary_entry_update_post(self, dictionary_id, input, **kwargs): """ Update an entry Update an entry in an existing dictionary. :param str dictionary_id: Dictionary Id (required) :param EntryUpdateBody input: Input with dictionary id + entry id (src or tgt) to delete (required) :return: EntryUpdateResponse """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_entry_update_post`") # verify the required parameter 'input' is set if input is None: raise ValueError("Missing the required parameter `input` when calling `resources_dictionary_entry_update_post`") all_params = ['dictionary_id', 'input'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_entry_update_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/entry/update'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] header_params = {} form_params = {} files = {} body_params = None if 'input' in params: body_params = params['input'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='EntryUpdateResponse', auth_settings=auth_settings) return response def resources_dictionary_list_post(self, **kwargs): """ List dictionaries List the dictionaries. :param DictionariesListFilters filters: Different filters that can be applied to the list functionality (skip/limit/sort/match) :return: DictionariesListResponse """ all_params = ['filters'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_list_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/list'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} header_params = {} form_params = {} files = {} body_params = None if 'filters' in params: body_params = params['filters'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='DictionariesListResponse', auth_settings=auth_settings) return response def resources_dictionary_lookup_get(self, source, target, input, **kwargs): """ Lookup Lookup words from a source language to a target language. :param str source: Language code of the source text\n (required) :param str target: Language code in which to lookup the source text\n (required) :param list[str] input: Input word (the 'input' parameter can be repeated)\n (required) :param bool autocomplete: With this option, if the input word is not found in the source language, it will be filled in with autocompletion to perform the lookup\n\nDefault: false\n :param str callback: Javascript callback function name for JSONP Support\n :return: LookupResponse """ # verify the required parameter 'source' is set if source is None: raise ValueError("Missing the required parameter `source` when calling `resources_dictionary_lookup_get`") # verify the required parameter 'target' is set if target is None: raise ValueError("Missing the required parameter `target` when calling `resources_dictionary_lookup_get`") # verify the required parameter 'input' is set if input is None: raise ValueError("Missing the required parameter `input` when calling `resources_dictionary_lookup_get`") all_params = ['source', 'target', 'input', 'autocomplete', 'callback'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_lookup_get" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/lookup'.replace('{format}', 'json') method = 'GET' path_params = {} query_params = {} if 'source' in params: query_params['source'] = params['source'] if 'target' in params: query_params['target'] = params['target'] if 'input' in params: query_params['input'] = params['input'] if 'autocomplete' in params: query_params['autocomplete'] = params['autocomplete'] if 'callback' in params: query_params['callback'] = params['callback'] header_params = {} form_params = {} files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='LookupResponse', auth_settings=auth_settings) return response def resources_dictionary_lookup_supported_languages_get(self, **kwargs): """ Lookup Supported Languages List of language pairs in which lookup is supported. This list can be limited to a specific source language or target language.\n :param str source: Language code of the source text\n :param str target: Language code into which to translate the source text\n :param str callback: Javascript callback function name for JSONP Support\n :return: LookupSupportedLanguageResponse """ all_params = ['source', 'target', 'callback'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_lookup_supported_languages_get" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/lookup/supportedLanguages'.replace('{format}', 'json') method = 'GET' path_params = {} query_params = {} if 'source' in params: query_params['source'] = params['source'] if 'target' in params: query_params['target'] = params['target'] if 'callback' in params: query_params['callback'] = params['callback'] header_params = {} form_params = {} files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='LookupSupportedLanguageResponse', auth_settings=auth_settings) return response def resources_dictionary_supported_languages_get(self, **kwargs): """ Supported Languages Get supported languages by dictionaries :return: SupportedLanguagesResponse """ all_params = [] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_supported_languages_get" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/supportedLanguages'.replace('{format}', 'json') method = 'GET' path_params = {} query_params = {} header_params = {} form_params = {} files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='SupportedLanguagesResponse', auth_settings=auth_settings) return response def resources_dictionary_update_post(self, dictionary_id, input, **kwargs): """ Update a dictionary Update an existing dictionary. :param str dictionary_id: Dictionary Id (required) :param DictionaryUpdateBody input: Input with dictionary id (required) :return: DictionaryUpdateResponse """ # verify the required parameter 'dictionary_id' is set if dictionary_id is None: raise ValueError("Missing the required parameter `dictionary_id` when calling `resources_dictionary_update_post`") # verify the required parameter 'input' is set if input is None: raise ValueError("Missing the required parameter `input` when calling `resources_dictionary_update_post`") all_params = ['dictionary_id', 'input'] params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError("Got an unexpected keyword argument '%s' to method resources_dictionary_update_post" % key) params[key] = val del params['kwargs'] resource_path = '/resources/dictionary/update'.replace('{format}', 'json') method = 'POST' path_params = {} query_params = {} if 'dictionary_id' in params: query_params['dictionaryId'] = params['dictionary_id'] header_params = {} form_params = {} files = {} body_params = None if 'input' in params: body_params = params['input'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept([]) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type([]) # Authentication setting auth_settings = ['accessToken', 'apiKey'] response = self.api_client.call_api(resource_path, method, path_params, query_params, header_params, body=body_params, post_params=form_params, files=files, response='DictionaryUpdateResponse', auth_settings=auth_settings) return response

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6d0e598a91ef3aa9fee046b828a0c4c6eee03a76

7,172

py

Python

Normalize.py

WoodSugar/GSTNet

3c21cfc8a873d61336f257030a28fdee12dcee2f

[ "MIT" ]

8

2020-12-24T08:18:09.000Z

2021-12-30T16:50:16.000Z

Normalize.py

WoodSugar/GSTNet

3c21cfc8a873d61336f257030a28fdee12dcee2f

[ "MIT" ]

2

2020-12-24T08:21:06.000Z

2021-08-18T11:03:47.000Z

Normalize.py

WoodSugar/GSTNet

3c21cfc8a873d61336f257030a28fdee12dcee2f

[ "MIT" ]

1

2021-01-31T07:52:52.000Z

# -*- coding: utf-8 -*- """ @Time : 2019/04/16 19:07 @Author : Yuppie """ import torch import torch.nn as nn class Switch_Norm_1D(nn.Module): def __init__(self, in_channels, eps=1e-5, momentum=0.997, using_moving_average=True, using_bn=True, last_gamma=False): super(Switch_Norm_1D, self).__init__() self.eps = eps self.momentum = momentum self.using_moving_average = using_moving_average self.using_bn = using_bn self.last_gamma = last_gamma self.weight = nn.Parameter(torch.ones(1, 1, in_channels)) self.bias = nn.Parameter(torch.zeros(1, 1, in_channels)) if self.using_bn: self.mean_weight = nn.Parameter(torch.ones(3)) self.var_weight = nn.Parameter(torch.ones(3)) else: self.mean_weight = nn.Parameter(torch.ones(2)) self.var_weight = nn.Parameter(torch.ones(2)) if self.using_bn: self.register_buffer('running_mean', torch.zeros(1, in_channels, 1)) self.register_buffer('running_var', torch.zeros(1, in_channels, 1)) def reset_parameters(self): if self.using_bn: self.running_mean.zero_() self.running_var.zero_() if self.last_gamma: self.weight.data.fill_(0) else: self.weight.data.fill_(1) self.bias.data.zero_() @staticmethod def _check_input_dim(inputs): if inputs.dim() != 3: raise ValueError('expected 3D input (got {}D input)' .format(inputs.dim())) def forward(self, inputs): Switch_Norm_1D._check_input_dim(inputs) inputs = inputs.transpose(1, 2) mean_in = inputs.mean(-1, keepdim=True) var_in = inputs.var(-1, keepdim=True) mean_ln = mean_in.mean(1, keepdim=True) temp = var_in + mean_in ** 2 var_ln = temp.mean(1, keepdim=True) - mean_ln ** 2 if self.using_bn: if self.training: mean_bn = mean_in.mean(0, keepdim=True) var_bn = temp.mean(0, keepdim=True) - mean_bn ** 2 if self.using_moving_average: self.running_mean.mul_(self.momentum) self.running_mean.add_((1 - self.momentum) * mean_bn.data) self.running_var.mul_(self.momentum) self.running_var.add_((1 - self.momentum) * var_bn.data) else: self.running_mean.add_(mean_bn.data) self.running_var.add_(mean_bn.data ** 2 + var_bn.data) else: mean_bn = torch.autograd.Variable(self.running_mean) var_bn = torch.autograd.Variable(self.running_var) softmax = nn.Softmax(0) mean_weight = softmax(self.mean_weight) var_weight = softmax(self.var_weight) if self.using_bn: mean = mean_weight[0] * mean_in + mean_weight[1] * mean_ln + mean_weight[2] * mean_bn var = var_weight[0] * var_in + var_weight[1] * var_ln + var_weight[2] * var_bn else: mean = mean_weight[0] * mean_in + mean_weight[1] * mean_ln var = var_weight[0] * var_in + var_weight[1] * var_ln inputs = (inputs - mean) / (var + self.eps).sqrt() inputs = inputs.transpose(1, 2) return self.weight * inputs + self.bias class Switch_Norm_2D(nn.Module): def __init__(self, in_channels, eps=1e-5, momentum=0.997, using_moving_average=True, using_bn=True, last_gamma=False): super(Switch_Norm_2D, self).__init__() self.eps = eps self.momentum = momentum self.using_moving_average = using_moving_average self.using_bn = using_bn self.last_gamma = last_gamma self.weight = nn.Parameter(torch.ones(1, 1, 1, in_channels)) self.bias = nn.Parameter(torch.zeros(1, 1, 1, in_channels)) if self.using_bn: self.mean_weight = nn.Parameter(torch.ones(3)) self.var_weight = nn.Parameter(torch.ones(3)) else: self.mean_weight = nn.Parameter(torch.ones(2)) self.var_weight = nn.Parameter(torch.ones(2)) if self.using_bn: self.register_buffer('running_mean', torch.zeros(1, in_channels, 1)) self.register_buffer('running_var', torch.zeros(1, in_channels, 1)) self.reset_parameters() def reset_parameters(self): if self.using_bn: self.running_mean.zero_() self.running_var.zero_() if self.last_gamma: self.weight.data.fill_(0) else: self.weight.data.fill_(1) self.bias.data.zero_() @staticmethod def _check_input_dim(inputs): if inputs.dim() != 4: raise ValueError('expected 4D input (got {}D input)' .format(inputs.dim())) def forward(self, inputs): self._check_input_dim(inputs) batch_size, num_stations, seq_len, in_channels = inputs.size() inputs = inputs.transpose(-2, -1).transpose(-3, -2) inputs = inputs.contiguous().view(batch_size, in_channels, -1) mean_in = inputs.mean(-1, keepdim=True) var_in = inputs.var(-1, keepdim=True) mean_ln = mean_in.mean(1, keepdim=True) temp = var_in + mean_in ** 2 var_ln = temp.mean(1, keepdim=True) - mean_ln ** 2 if self.using_bn: if self.training: mean_bn = mean_in.mean(0, keepdim=True) var_bn = temp.mean(0, keepdim=True) - mean_bn ** 2 if self.using_moving_average: self.running_mean.mul_(self.momentum) self.running_mean.add_((1 - self.momentum) * mean_bn.data) self.running_var.mul_(self.momentum) self.running_var.add_((1 - self.momentum) * var_bn.data) else: self.running_mean.add_(mean_bn.data) self.running_var.add_(mean_bn.data ** 2 + var_bn.data) else: mean_bn = torch.autograd.Variable(self.running_mean) var_bn = torch.autograd.Variable(self.running_var) softmax = nn.Softmax(0) mean_weight = softmax(self.mean_weight) var_weight = softmax(self.var_weight) if self.using_bn: mean = mean_weight[0] * mean_in + mean_weight[1] * mean_ln + mean_weight[2] * mean_bn var = var_weight[0] * var_in + var_weight[1] * var_ln + var_weight[2] * var_bn else: mean = mean_weight[0] * mean_in + mean_weight[1] * mean_ln var = var_weight[0] * var_in + var_weight[1] * var_ln inputs = (inputs - mean) / (var + self.eps).sqrt() inputs = inputs.contiguous().view(batch_size, in_channels, num_stations, seq_len) inputs = inputs.transpose(-3, -2).transpose(-2, -1) return self.weight * inputs + self.bias

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0.102345

0.05698

0.034188

0.05698

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39.844444

0.76022

0.009342

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null

0

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0

1

0

null

0

7

6d2cbd5a776d3e6fe744f531ed68453181c500e0

24,978

py

Python

sdk/python/pulumi_akamai/app_sec_configuration.py

pulumi/pulumi-akamai

85f933ccf2f61738b3074a13fa718132280f8364

[ "ECL-2.0", "Apache-2.0" ]

3

2021-01-21T15:22:12.000Z

2021-08-25T14:15:29.000Z

sdk/python/pulumi_akamai/app_sec_configuration.py

pulumi/pulumi-akamai

85f933ccf2f61738b3074a13fa718132280f8364

[ "ECL-2.0", "Apache-2.0" ]

59

2020-08-13T14:39:36.000Z

2022-03-31T15:19:48.000Z

sdk/python/pulumi_akamai/app_sec_configuration.py

pulumi/pulumi-akamai

85f933ccf2f61738b3074a13fa718132280f8364

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['AppSecConfigurationArgs', 'AppSecConfiguration'] @pulumi.input_type class AppSecConfigurationArgs: def __init__(__self__, *, contract_id: pulumi.Input[str], description: pulumi.Input[str], group_id: pulumi.Input[int], host_names: pulumi.Input[Sequence[pulumi.Input[str]]], create_from_config_id: Optional[pulumi.Input[int]] = None, create_from_version: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a AppSecConfiguration resource. :param pulumi.Input[str] contract_id: . Unique identifier of the Akamai contract t associated with the new configuration. :param pulumi.Input[str] description: . Brief description of the new configuration. :param pulumi.Input[int] group_id: . Unique identifier of the contract group associated with the new configuration. :param pulumi.Input[Sequence[pulumi.Input[str]]] host_names: . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. :param pulumi.Input[int] create_from_config_id: . Unique identifier of the existing configuration being cloned in order to create the new configuration. :param pulumi.Input[int] create_from_version: . Version number of the security configuration being cloned. :param pulumi.Input[str] name: . Name of the new configuration. """ pulumi.set(__self__, "contract_id", contract_id) pulumi.set(__self__, "description", description) pulumi.set(__self__, "group_id", group_id) pulumi.set(__self__, "host_names", host_names) if create_from_config_id is not None: pulumi.set(__self__, "create_from_config_id", create_from_config_id) if create_from_version is not None: pulumi.set(__self__, "create_from_version", create_from_version) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="contractId") def contract_id(self) -> pulumi.Input[str]: """ . Unique identifier of the Akamai contract t associated with the new configuration. """ return pulumi.get(self, "contract_id") @contract_id.setter def contract_id(self, value: pulumi.Input[str]): pulumi.set(self, "contract_id", value) @property @pulumi.getter def description(self) -> pulumi.Input[str]: """ . Brief description of the new configuration. """ return pulumi.get(self, "description") @description.setter def description(self, value: pulumi.Input[str]): pulumi.set(self, "description", value) @property @pulumi.getter(name="groupId") def group_id(self) -> pulumi.Input[int]: """ . Unique identifier of the contract group associated with the new configuration. """ return pulumi.get(self, "group_id") @group_id.setter def group_id(self, value: pulumi.Input[int]): pulumi.set(self, "group_id", value) @property @pulumi.getter(name="hostNames") def host_names(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. """ return pulumi.get(self, "host_names") @host_names.setter def host_names(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "host_names", value) @property @pulumi.getter(name="createFromConfigId") def create_from_config_id(self) -> Optional[pulumi.Input[int]]: """ . Unique identifier of the existing configuration being cloned in order to create the new configuration. """ return pulumi.get(self, "create_from_config_id") @create_from_config_id.setter def create_from_config_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "create_from_config_id", value) @property @pulumi.getter(name="createFromVersion") def create_from_version(self) -> Optional[pulumi.Input[int]]: """ . Version number of the security configuration being cloned. """ return pulumi.get(self, "create_from_version") @create_from_version.setter def create_from_version(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "create_from_version", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ . Name of the new configuration. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _AppSecConfigurationState: def __init__(__self__, *, config_id: Optional[pulumi.Input[int]] = None, contract_id: Optional[pulumi.Input[str]] = None, create_from_config_id: Optional[pulumi.Input[int]] = None, create_from_version: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, group_id: Optional[pulumi.Input[int]] = None, host_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, name: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering AppSecConfiguration resources. :param pulumi.Input[str] contract_id: . Unique identifier of the Akamai contract t associated with the new configuration. :param pulumi.Input[int] create_from_config_id: . Unique identifier of the existing configuration being cloned in order to create the new configuration. :param pulumi.Input[int] create_from_version: . Version number of the security configuration being cloned. :param pulumi.Input[str] description: . Brief description of the new configuration. :param pulumi.Input[int] group_id: . Unique identifier of the contract group associated with the new configuration. :param pulumi.Input[Sequence[pulumi.Input[str]]] host_names: . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. :param pulumi.Input[str] name: . Name of the new configuration. """ if config_id is not None: pulumi.set(__self__, "config_id", config_id) if contract_id is not None: pulumi.set(__self__, "contract_id", contract_id) if create_from_config_id is not None: pulumi.set(__self__, "create_from_config_id", create_from_config_id) if create_from_version is not None: pulumi.set(__self__, "create_from_version", create_from_version) if description is not None: pulumi.set(__self__, "description", description) if group_id is not None: pulumi.set(__self__, "group_id", group_id) if host_names is not None: pulumi.set(__self__, "host_names", host_names) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="configId") def config_id(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "config_id") @config_id.setter def config_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "config_id", value) @property @pulumi.getter(name="contractId") def contract_id(self) -> Optional[pulumi.Input[str]]: """ . Unique identifier of the Akamai contract t associated with the new configuration. """ return pulumi.get(self, "contract_id") @contract_id.setter def contract_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "contract_id", value) @property @pulumi.getter(name="createFromConfigId") def create_from_config_id(self) -> Optional[pulumi.Input[int]]: """ . Unique identifier of the existing configuration being cloned in order to create the new configuration. """ return pulumi.get(self, "create_from_config_id") @create_from_config_id.setter def create_from_config_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "create_from_config_id", value) @property @pulumi.getter(name="createFromVersion") def create_from_version(self) -> Optional[pulumi.Input[int]]: """ . Version number of the security configuration being cloned. """ return pulumi.get(self, "create_from_version") @create_from_version.setter def create_from_version(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "create_from_version", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ . Brief description of the new configuration. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="groupId") def group_id(self) -> Optional[pulumi.Input[int]]: """ . Unique identifier of the contract group associated with the new configuration. """ return pulumi.get(self, "group_id") @group_id.setter def group_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "group_id", value) @property @pulumi.getter(name="hostNames") def host_names(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. """ return pulumi.get(self, "host_names") @host_names.setter def host_names(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "host_names", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ . Name of the new configuration. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) class AppSecConfiguration(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, contract_id: Optional[pulumi.Input[str]] = None, create_from_config_id: Optional[pulumi.Input[int]] = None, create_from_version: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, group_id: Optional[pulumi.Input[int]] = None, host_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, name: Optional[pulumi.Input[str]] = None, __props__=None): """ **Scopes**: Contract and group Creates a new WAP (Web Application Protector) or KSD (Kona Site Defender) security configuration. KSD security configurations start out empty (i.e., unconfigured), while WAP configurations are created using preset values. The contract referenced in the request body determines the type of configuration you can create. In addition to manually creating a new configuration, you can use the `create_from_config_id` argument to clone an existing configuration. **Related API Endpoint**: [/appsec/v1/configs](https://developer.akamai.com/api/cloud_security/application_security/v1.html#postconfigurations) ## Example Usage Basic usage: ```python import pulumi import pulumi_akamai as akamai selectable_hostnames = akamai.get_app_sec_selectable_hostnames(config_id="Documentation") create_config = akamai.AppSecConfiguration("createConfig", description="This configuration is used as a testing environment for the documentation team.", contract_id="5-2WA382", group_id=12198, host_names=[ "documentation.akamai.com", "training.akamai.com", ]) pulumi.export("createConfigId", create_config.config_id) clone_config = akamai.AppSecConfiguration("cloneConfig", description="This configuration is used as a testing environment for the documentation team.", create_from_config_id=data["akamai_appsec_configuration"]["configuration"]["config_id"], create_from_version=data["akamai_appsec_configuration"]["configuration"]["latest_version"], contract_id="5-2WA382", group_id=12198, host_names=selectable_hostnames.hostnames) pulumi.export("cloneConfigId", clone_config.config_id) ``` ## Output Options The following options can be used to determine the information returned, and how that returned information is formatted: - `config_id`. ID of the new security configuration. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] contract_id: . Unique identifier of the Akamai contract t associated with the new configuration. :param pulumi.Input[int] create_from_config_id: . Unique identifier of the existing configuration being cloned in order to create the new configuration. :param pulumi.Input[int] create_from_version: . Version number of the security configuration being cloned. :param pulumi.Input[str] description: . Brief description of the new configuration. :param pulumi.Input[int] group_id: . Unique identifier of the contract group associated with the new configuration. :param pulumi.Input[Sequence[pulumi.Input[str]]] host_names: . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. :param pulumi.Input[str] name: . Name of the new configuration. """ ... @overload def __init__(__self__, resource_name: str, args: AppSecConfigurationArgs, opts: Optional[pulumi.ResourceOptions] = None): """ **Scopes**: Contract and group Creates a new WAP (Web Application Protector) or KSD (Kona Site Defender) security configuration. KSD security configurations start out empty (i.e., unconfigured), while WAP configurations are created using preset values. The contract referenced in the request body determines the type of configuration you can create. In addition to manually creating a new configuration, you can use the `create_from_config_id` argument to clone an existing configuration. **Related API Endpoint**: [/appsec/v1/configs](https://developer.akamai.com/api/cloud_security/application_security/v1.html#postconfigurations) ## Example Usage Basic usage: ```python import pulumi import pulumi_akamai as akamai selectable_hostnames = akamai.get_app_sec_selectable_hostnames(config_id="Documentation") create_config = akamai.AppSecConfiguration("createConfig", description="This configuration is used as a testing environment for the documentation team.", contract_id="5-2WA382", group_id=12198, host_names=[ "documentation.akamai.com", "training.akamai.com", ]) pulumi.export("createConfigId", create_config.config_id) clone_config = akamai.AppSecConfiguration("cloneConfig", description="This configuration is used as a testing environment for the documentation team.", create_from_config_id=data["akamai_appsec_configuration"]["configuration"]["config_id"], create_from_version=data["akamai_appsec_configuration"]["configuration"]["latest_version"], contract_id="5-2WA382", group_id=12198, host_names=selectable_hostnames.hostnames) pulumi.export("cloneConfigId", clone_config.config_id) ``` ## Output Options The following options can be used to determine the information returned, and how that returned information is formatted: - `config_id`. ID of the new security configuration. :param str resource_name: The name of the resource. :param AppSecConfigurationArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(AppSecConfigurationArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, contract_id: Optional[pulumi.Input[str]] = None, create_from_config_id: Optional[pulumi.Input[int]] = None, create_from_version: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, group_id: Optional[pulumi.Input[int]] = None, host_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = AppSecConfigurationArgs.__new__(AppSecConfigurationArgs) if contract_id is None and not opts.urn: raise TypeError("Missing required property 'contract_id'") __props__.__dict__["contract_id"] = contract_id __props__.__dict__["create_from_config_id"] = create_from_config_id __props__.__dict__["create_from_version"] = create_from_version if description is None and not opts.urn: raise TypeError("Missing required property 'description'") __props__.__dict__["description"] = description if group_id is None and not opts.urn: raise TypeError("Missing required property 'group_id'") __props__.__dict__["group_id"] = group_id if host_names is None and not opts.urn: raise TypeError("Missing required property 'host_names'") __props__.__dict__["host_names"] = host_names __props__.__dict__["name"] = name __props__.__dict__["config_id"] = None super(AppSecConfiguration, __self__).__init__( 'akamai:index/appSecConfiguration:AppSecConfiguration', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, config_id: Optional[pulumi.Input[int]] = None, contract_id: Optional[pulumi.Input[str]] = None, create_from_config_id: Optional[pulumi.Input[int]] = None, create_from_version: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, group_id: Optional[pulumi.Input[int]] = None, host_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, name: Optional[pulumi.Input[str]] = None) -> 'AppSecConfiguration': """ Get an existing AppSecConfiguration resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] contract_id: . Unique identifier of the Akamai contract t associated with the new configuration. :param pulumi.Input[int] create_from_config_id: . Unique identifier of the existing configuration being cloned in order to create the new configuration. :param pulumi.Input[int] create_from_version: . Version number of the security configuration being cloned. :param pulumi.Input[str] description: . Brief description of the new configuration. :param pulumi.Input[int] group_id: . Unique identifier of the contract group associated with the new configuration. :param pulumi.Input[Sequence[pulumi.Input[str]]] host_names: . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. :param pulumi.Input[str] name: . Name of the new configuration. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _AppSecConfigurationState.__new__(_AppSecConfigurationState) __props__.__dict__["config_id"] = config_id __props__.__dict__["contract_id"] = contract_id __props__.__dict__["create_from_config_id"] = create_from_config_id __props__.__dict__["create_from_version"] = create_from_version __props__.__dict__["description"] = description __props__.__dict__["group_id"] = group_id __props__.__dict__["host_names"] = host_names __props__.__dict__["name"] = name return AppSecConfiguration(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="configId") def config_id(self) -> pulumi.Output[int]: return pulumi.get(self, "config_id") @property @pulumi.getter(name="contractId") def contract_id(self) -> pulumi.Output[str]: """ . Unique identifier of the Akamai contract t associated with the new configuration. """ return pulumi.get(self, "contract_id") @property @pulumi.getter(name="createFromConfigId") def create_from_config_id(self) -> pulumi.Output[Optional[int]]: """ . Unique identifier of the existing configuration being cloned in order to create the new configuration. """ return pulumi.get(self, "create_from_config_id") @property @pulumi.getter(name="createFromVersion") def create_from_version(self) -> pulumi.Output[Optional[int]]: """ . Version number of the security configuration being cloned. """ return pulumi.get(self, "create_from_version") @property @pulumi.getter def description(self) -> pulumi.Output[str]: """ . Brief description of the new configuration. """ return pulumi.get(self, "description") @property @pulumi.getter(name="groupId") def group_id(self) -> pulumi.Output[int]: """ . Unique identifier of the contract group associated with the new configuration. """ return pulumi.get(self, "group_id") @property @pulumi.getter(name="hostNames") def host_names(self) -> pulumi.Output[Sequence[str]]: """ . JSON array containing the hostnames to be protected by the new configuration. You must specify at least one hostname in order to create a new configuration. """ return pulumi.get(self, "host_names") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ . Name of the new configuration. """ return pulumi.get(self, "name")

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7

6d30b3a26a9ba38e33beb1e38cf93ee305e7c88f

144

py

Python

MapDown-PyCli/_init_.py

shlllshlll/GPSLoc

dee129d6fa0bf89519a85ade5d3c220fdf2c67d6

[ "MIT" ]

22

2017-11-25T09:34:46.000Z

2021-07-02T04:24:47.000Z

MapDown-PyCli/_init_.py

lgqhaha/GPSLoc

dee129d6fa0bf89519a85ade5d3c220fdf2c67d6

[ "MIT" ]

1

2018-12-18T04:43:26.000Z

MapDown-PyCli/_init_.py

lgqhaha/GPSLoc

dee129d6fa0bf89519a85ade5d3c220fdf2c67d6

[ "MIT" ]

11

2019-05-12T12:43:41.000Z

2020-12-17T15:22:53.000Z

# -*- coding: utf-8 -*- # @Author: SHLLL # @Date: 2017-11-23 14:24:08 # @Last Modified by: SHLLL # @Last Modified time: 2017-11-23 14:24:24

24

42

0.611111

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144

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7

6d52273b7acc29132a02a17ee931c582b1c60888

55,448

py

Python

tests/skeu/test_runs.py

siq/flux

ca7563deb9ebef14840bbf0cb7bab4d9478b2470

[ "Linux-OpenIB" ]

null

tests/skeu/test_runs.py

siq/flux

ca7563deb9ebef14840bbf0cb7bab4d9478b2470

[ "Linux-OpenIB" ]

null

tests/skeu/test_runs.py

siq/flux

ca7563deb9ebef14840bbf0cb7bab4d9478b2470

[ "Linux-OpenIB" ]

null

from time import sleep from scheme import fields, Yaml from spire.core import adhoc_configure, Unit from spire.schema import SchemaDependency from mesh.testing import MeshTestCase from mesh.exceptions import InvalidError from flux.bundles import API from flux.models import Operation, Run, Workflow adhoc_configure({ 'schema:flux': { 'url': 'postgresql://postgres@localhost/flux' }, 'mesh:flux': { 'url': 'http://localhost:9997/', 'bundle': 'flux.API', }, 'mesh:docket': { 'url': 'http://localhost:9998/', 'specification': 'flux.bindings.docket.specification', }, 'mesh:platoon': { 'url': 'http://localhost:4321/', 'specification': 'flux.bindings.platoon.specification', }, 'mesh:truss': { 'url': 'http://localhost:9999/api', 'specification': 'flux.bindings.truss.specification', }, }) class TestDependency(Unit): schema = SchemaDependency('flux') class BaseTestCase(MeshTestCase): bundle = API maxDiff = None config = TestDependency() def setUp(self): self._workflows = [] self._runs = [] self._operations = [] def tearDown(self): session = self.config.schema.session model_instances = ( (Run, self._runs), (Workflow, self._workflows), (Operation, self._operations), ) for model, instances in model_instances: for instance in instances: try: session.delete(session.query(model).with_lockmode('update').get(instance)) session.commit() except: session.rollback() continue def _poll_run_status(self, client, run_id, status, include=None, limit=5, wait=6): run = None data = {'include': include} if include else None while limit: resp = client.execute('run', 'get', run_id, data=data) self.assertEqual('OK', resp.status) run = resp.content if run['status'] == status: break limit -= 1 limit and sleep(wait) else: raise Exception( 'Status of Run(id=%s, status=%s) not updating to %s' % ( run_id, run['status'], status)) return run def _setup_active_run(self, client, workflow_id, steps=None, parameters=None, limit=5, wait=6): data = {'workflow_id': workflow_id, 'parameters': parameters} resp = client.execute('run', 'create', data=data) self.assertEqual('OK', resp.status) run_id = resp.content['id'] steps = list(steps) if steps else [] run = None get_data = {'include': ['executions']} while limit: resp = client.execute('run', 'get', subject=run_id, data=get_data) self.assertEqual('OK', resp.status) run = resp.content executions = resp.content['executions'] for e in executions: try: steps.remove(e['step']) except ValueError: continue if not steps: break limit -= 1 limit and sleep(wait) else: raise Exception( 'Run(id=%s, status=%s) did not execute steps: %s' % ( run_id, run['status'], steps)) return run def _setup_run(self, client, workflow_id, parameters=None, name=None): data = {'workflow_id': workflow_id} if name: data['name'] = name if parameters: data['parameters'] = parameters resp = client.execute('run', 'create', None, data=data) try: run_id = resp.content['id'] except (AttributeError, KeyError): pass else: self._runs.append(run_id) return resp def _setup_workflow(self, client, name, specification=None): if specification is None: specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', }, }, }) self._workflow_spec = specification data = {'name': name, 'specification': specification} resp = client.execute('workflow', 'create', None, data=data) try: workflow_id = resp.content['id'] except (AttributeError, KeyError): pass else: self._workflows.append(workflow_id) return resp class TestSimpleRunCases(BaseTestCase): def test_duplicate_name_run_on_create1(self, client): """Tests creating a run with an existing run name""" workflow_name = 'test workflow' resp = self._setup_workflow(client, workflow_name) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] duplicate_name = 'test duplicate name run 1' resp = self._setup_run(client, workflow_id, name=duplicate_name) self.assertEquals(resp.status, 'OK') with self.assertRaises(InvalidError): self._setup_run(client, workflow_id, name=duplicate_name) def test_duplicate_name_run_on_create2(self, client): """Tests creating multiple runs off one workflow without providing a name""" workflow_name = 'test workflow' resp = self._setup_workflow(client, workflow_name) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals(resp.status, 'OK') resp = self._setup_run(client, workflow_id) self.assertEquals(resp.status, 'OK') def test_duplicate_name_run_on_update1(self, client): """Tests updating a run with an existing run name""" workflow_name = 'test workflow' resp = self._setup_workflow(client, workflow_name) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] duplicate_name = 'test duplicate name run 2' resp = self._setup_run(client, workflow_id, name=duplicate_name) self.assertEquals(resp.status, 'OK') resp = self._setup_run(client, workflow_id, 'test duplicate name run 2 a') self.assertEquals(resp.status, 'OK') run_id = resp.content['id'] with self.assertRaises(InvalidError): client.execute('run', 'update', run_id, {'name': duplicate_name}) def test_duplicate_name_run_on_update2(self, client): """Tests against false positive when updating a run without name change.""" workflow_name = 'test workflow' resp = self._setup_workflow(client, workflow_name) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] duplicate_name = 'test duplicate name run 3' resp = self._setup_run(client, workflow_id, name=duplicate_name) self.assertEquals(resp.status, 'OK') run_id = resp.content['id'] resp = client.execute('run', 'update', run_id, {'name': duplicate_name}) self.assertEquals(resp.status, 'OK') def test_run_workflow1(self, client): """Tests simple workflow run cycle""" workflow_name = 'test run workflow 1' resp1 = self._setup_workflow(client, workflow_name) self.assertEqual('OK', resp1.status) workflow_id = resp1.content['id'] resp = self._setup_run(client, workflow_id) self.assertEqual('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'completed') self.assertTrue(result.pop('ended') >= result.pop('started')) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'completed', } self.assertEquals(expected, result) def test_run_workflow2(self, client): """Tests simple workflow run and execution cycle""" workflow_name = 'test run workflow 2' resp1 = self._setup_workflow(client, workflow_name) self.assertEqual('OK', resp1.status) workflow_id = resp1.content['id'] resp = self._setup_run(client, workflow_id) self.assertEqual('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'completed', include=['executions']) run_ended = result.pop('ended') run_started = result.pop('started') result['executions'][0].pop('id') execution_ended = result['executions'][0].pop('ended') execution_started = result['executions'][0].pop('started') self.assertTrue(run_ended >= run_started) self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'completed', 'executions': [{ 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': 'Test Operation', 'status': 'completed', }] } self.assertEquals(expected, result) def test_multi_step_run(self, client): """Tests for multistep workflow runs""" workflow_name = 'test multistep workflow run' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'postoperation': [{ 'actions': [{ 'action': 'execute-step', 'step': 'step-1', }], }], }, 'step-1': { 'operation': 'flux:test-operation', 'postoperation': [{ 'actions': [{ 'action': 'execute-step', 'step': 'step-2', }], }], }, 'step-2': { 'operation': 'flux:test-operation', }, }, }) resp1 = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp1.status) workflow_id = resp1.content['id'] resp = self._setup_run(client, workflow_id) self.assertEqual('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'completed', include=['executions']) run_ended = result.pop('ended') run_started = result.pop('started') self.assertTrue(run_ended >= run_started) ancestor_ids = [] for execution in result['executions']: ancestor_ids.append(execution.pop('id')) execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'completed', 'executions': [ { 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': 'Test Operation', 'status': 'completed', }, { 'execution_id': 2, 'ancestor_id': ancestor_ids[0], 'step': 'step-1', 'name': 'Test Operation', 'status': 'completed', }, { 'execution_id': 3, 'ancestor_id': ancestor_ids[1], 'step': 'step-2', 'name': 'Test Operation', 'status': 'completed', }, ] } self.assertEquals(expected, result) class TestRunOutcomeCases(BaseTestCase): """Tests workflow runs interaction with different outcomes""" def test_success_outcome(self, client): '''Test successful run outcome''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test sucess outcome' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'completed', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') execution = result['executions'][-1] execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(run_ended >= run_started) self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'completed', 'executions': [{ 'id': execution['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': operation_name, 'status': 'completed', }] } self.assertEquals(expected, result) def test_failure_outcome(self, client): '''Test failure run outcome''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test failure outcome' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'parameters': {'outcome': 'failed'}, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'failed', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') execution = result['executions'][-1] execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(run_ended >= run_started) self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'failed', 'executions': [{ 'id': execution['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': None, 'name': operation_name, 'status': 'failed', }] } self.assertEquals(expected, result) def test_invalidated_run(self, client): '''Test invalidated run outcome''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test invalid run' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'parameters': {'outcome': 'invalidated'}, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'invalidated', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') execution = result['executions'][-1] execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(run_ended >= run_started) self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'invalidated', 'executions': [{ 'id': execution['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': operation_name, 'status': 'invalidated', }] } self.assertEquals(expected, result) def test_abort_run(self, client): '''Test setting run status to aborted''' operation_id = 'flux:test-operation' workflow_name = 'test abort run' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'parameters': {'duration': 30}, 'postoperation': [{ 'actions': [{ 'action': 'execute-step', 'step': 'step-1', }], }], }, 'step-1': { 'operation': operation_id, 'parameters': {'duration': 30}, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id, ('step-0','step-1')) run_id = run['id'] client.execute('run', 'update', subject=run_id, data={'status': 'aborting'}) result = self._poll_run_status(client, run_id, 'aborted', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') self.assertTrue(run_ended >= run_started) ancestor_ids = [] for execution in result['executions']: ancestor_ids.append(execution.pop('id')) execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'aborted', 'executions': [ { 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': 'Test Operation', 'status': 'completed', }, { 'execution_id': 2, 'ancestor_id': ancestor_ids[0], 'step': 'step-1', 'name': 'Test Operation', 'status': 'aborted', }, ], } self.assertEquals(expected, result) def test_abort_execution(self, client): '''Test setting execution status to aborted''' operation_id = 'flux:test-operation' workflow_name = 'test abort execution' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'parameters': {'duration': 60}, 'postoperation': [{ 'actions': [{ 'action': 'execute-step', 'step': 'step-1', }], }], }, 'step-1': { 'operation': operation_id, 'parameters': {'duration': 30}, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id, ('step-0',)) run_id = run['id'] execution_id = run['executions'][-1]['id'] client.execute('execution', 'update', subject=execution_id, data={'status': 'aborting'}) result = self._poll_run_status(client, run_id, 'aborted', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') self.assertTrue(run_ended >= run_started) ancestor_ids = [] for execution in result['executions']: ancestor_ids.append(execution.pop('id')) execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'aborted', 'executions': [ { 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': 'Test Operation', 'status': 'aborted', }, ], } self.assertEquals(expected, result) def test_success_outcome_with_concurrent_executions(self, client): '''Test success run outcome with active concurrent executions''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test success outcome with concurrent executions' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'postoperation': [{ 'actions': [ { 'action': 'execute-step', 'step': 'step-1', }, { 'action': 'execute-step', 'step': 'step-1', } ], }], }, 'step-1': { 'operation': operation_id, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'completed', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') executions = result['executions'] for execution in executions: execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'completed', 'executions': [ { 'id': executions[0]['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': operation_name, 'status': 'completed', }, { 'id': executions[1]['id'], 'execution_id': 2, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'completed', }, { 'id': executions[2]['id'], 'execution_id': 3, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'completed', }, ] } self.assertEquals(expected, result) def test_failure_outcome_with_concurrent_executions(self, client): '''Test failure run outcome with active concurrent executions''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test failure outcome with concurrent executions' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'postoperation': [{ 'actions': [ { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'duration': 60} }, { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'failed'} } ], }], }, 'step-1': { 'operation': operation_id, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'failed', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') executions = result['executions'] for execution in executions: execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'failed', 'executions': [ { 'id': executions[0]['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': operation_name, 'status': 'completed', }, { 'id': executions[1]['id'], 'execution_id': 2, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'aborted', }, { 'id': executions[2]['id'], 'execution_id': 3, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'failed', }, ] } self.assertEquals(expected, result) def test_invalidated_outcome_with_concurrent_executions(self, client): '''Test invalidated run outcome with active concurrent executions''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test invalidated outcome with concurrent executions' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'postoperation': [{ 'actions': [ { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'duration': 60} }, { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'invalidated'} } ], }], }, 'step-1': { 'operation': operation_id, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'invalidated', ['executions']) run_ended = result.pop('ended') run_started = result.pop('started') executions = result['executions'] for execution in executions: execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'invalidated', 'executions': [ { 'id': executions[0]['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': operation_name, 'status': 'completed', }, { 'id': executions[1]['id'], 'execution_id': 2, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'aborted', }, { 'id': executions[2]['id'], 'execution_id': 3, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'invalidated', }, ] } self.assertEquals(expected, result) class TestIgnoreStatusRuns(BaseTestCase): def test_failure(self, client): """Test failure run with failed step.""" name = 'test failure' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test failed operation', 'parameters': {'outcome': 'failed'}, 'postoperation': [{ 'actions': [{ 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, }], }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test completed operation', 'parameters': {'outcome':'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'failed', include=['executions']) run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'failed', 'parameters': None, 'products': {}, 'executions': [{ 'execution_id': 1, 'step': 'step-0', 'name': 'test failed operation', 'status': 'failed', }], } self.assertEquals(result, expected) def test_ignore_failure(self, client): """Test use of ignore failure of failed step.""" name = 'test ignore failure' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test failed operation', 'parameters': {'outcome': 'failed'}, 'postoperation': [{ 'terminal': False, 'actions': [ { 'action': 'ignore-step-failure', }, { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, } ], }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test operation', 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'failed', include=['executions']) run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'failed', 'parameters': None, 'products': {}, 'executions': [ { 'execution_id': 1, 'step': 'step-0', 'name': 'test failed operation', 'status': 'failed', }, { 'execution_id': 2, 'step': 'step-1', 'name': 'test operation', 'status': 'completed', }, ], } self.assertEquals(result, expected) def test_ignore_failure_incorrect_use(self, client): """Test failure with ignore step with incorrect use case.""" name = 'test ignore failure bad case' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test failed operation', 'parameters': {'outcome': 'failed'}, 'postoperation': [{ 'terminal': False, 'actions': [ { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, }, { 'action': 'ignore-step-failure', }, ], }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test operation', 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'failed', include=['executions']) run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'failed', 'parameters': None, 'products': {}, 'executions': [{ 'execution_id': 1, 'step': 'step-0', 'name': 'test failed operation', 'status': 'failed', }], } self.assertEquals(result, expected) class TestRunTimedoutCases(BaseTestCase): """Test run cases involving the timedout status.""" def test_timedout_case(self, client): """Test timedout with multi-step run.""" name = 'test timedout run' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test timedout operation', 'timeout': 1, 'parameters': {'duration': 100}, 'postoperation': [{ 'terminal': False, 'actions': [{ 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, }], }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test completed operation', 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'timedout', include=['executions']) run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'timedout', 'parameters': None, 'products': {}, 'executions': [ { 'execution_id': 1, 'step': 'step-0', 'name': 'test timedout operation', 'status': 'timedout', }, ], } self.assertEquals(result, expected) def test_timedout_run_with_concurrent_executions(self, client): '''Test timedout run with active concurrent executions''' operation_id = 'flux:test-operation' operation_name = 'Test Operation' workflow_name = 'test timedout run with concurrent executions' specification = Yaml.serialize({ 'name': workflow_name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': operation_id, 'postoperation': [{ 'actions': [ { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'duration': 160} }, { 'action': 'execute-step', 'step': 'step-2', 'parameters': {'duration': 100}, } ], }], }, 'step-1': { 'operation': operation_id, }, 'step-2': { 'timeout': 1, 'operation': operation_id, }, }, }) resp = self._setup_workflow(client, workflow_name, specification=specification) self.assertEqual('OK', resp.status) workflow_id = resp.content['id'] run = self._setup_active_run(client, workflow_id) run_id = run['id'] result = self._poll_run_status(client, run_id, 'timedout', include=['executions']) run_ended = result.pop('ended') run_started = result.pop('started') executions = result['executions'] for execution in executions: execution_ended = execution.pop('ended') execution_started = execution.pop('started') self.assertTrue(execution_ended >= execution_started) self.assertTrue(execution_ended >= run_started) self.assertTrue(run_ended >= execution_started) expected = { 'id': run_id, 'name': workflow_name, 'parameters': None, 'workflow_id': workflow_id, 'products': {}, 'status': 'timedout', 'executions': [ { 'id': executions[0]['id'], 'execution_id': 1, 'ancestor_id': None, 'step': 'step-0', 'name': operation_name, 'status': 'completed', }, { 'id': executions[1]['id'], 'execution_id': 2, 'ancestor_id': executions[0]['id'], 'step': 'step-1', 'name': operation_name, 'status': 'aborted', }, { 'id': executions[2]['id'], 'execution_id': 3, 'ancestor_id': executions[0]['id'], 'step': 'step-2', 'name': operation_name, 'status': 'timedout', }, ] } self.assertEquals(expected, result) def test_ignore_timedout_case(self, client): """Test ignore-failure on timedout step.""" name = 'test ignore timedout run' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test timedout operation', 'timeout': 1, 'parameters': {'duration': 100}, 'postoperation': [{ 'terminal': False, 'actions': [ { 'action': 'ignore-step-failure', }, { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, } ], }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test completed operation', 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'timedout', include=['executions']) run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'timedout', 'parameters': None, 'products': {}, 'executions': [ { 'execution_id': 1, 'step': 'step-0', 'name': 'test timedout operation', 'status': 'timedout', }, { 'execution_id': 2, 'step': 'step-1', 'name': 'test completed operation', 'status': 'completed', }, ], } self.assertEquals(result, expected) class TestInvalidRunCase(BaseTestCase): """Test run cases involving invalidated status.""" def test_invalidated_case(self, client): """Test invalidated run with multi-step run.""" name = 'test invalidated run' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test invalid operation', 'parameters': {'outcome': 'invalidated'}, 'postoperation': [{ 'actions': [{ 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, }], 'terminal': False, }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test completed operation', 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] run = self._poll_run_status(client, run_id, 'invalidated', ['executions']) result = run run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'invalidated', 'parameters': None, 'products': {}, 'executions': [ { 'execution_id': 1, 'step': 'step-0', 'name': 'test invalid operation', 'status': 'invalidated', }, ], } self.assertEquals(result, expected) def test_ignore_invalidated_case(self, client): name = 'test ignore invalidated run' specification = Yaml.serialize({ 'name': name, 'entry': 'step-0', 'steps': { 'step-0': { 'operation': 'flux:test-operation', 'description': 'test invalid operation', 'parameters': {'outcome': 'invalidated'}, 'postoperation': [{ 'actions': [ { 'action': 'ignore-step-failure', }, { 'action': 'execute-step', 'step': 'step-1', 'parameters': {'outcome': 'completed'}, }, ], 'terminal': False, }], }, 'step-1': { 'operation': 'flux:test-operation', 'description': 'test completed operation', 'parameters': {'outcome': 'completed'}, }, }, }) resp = self._setup_workflow(client, name, specification) self.assertEquals('OK', resp.status) workflow_id = resp.content['id'] resp = self._setup_run(client, workflow_id) self.assertEquals('OK', resp.status) run_id = resp.content['id'] result = self._poll_run_status(client, run_id, 'invalidated', include=['executions']) run_started = result.pop('started') run_ended = result.pop('ended') self.assertTrue(run_ended >= run_started) for execution in result['executions']: execution.pop('id') execution.pop('ancestor_id') exec_started = execution.pop('started') exec_ended = execution.pop('ended') self.assertTrue(exec_ended >= exec_started) self.assertTrue(run_ended >= exec_ended) self.assertTrue(exec_started >= run_started) expected = { 'id': run_id, 'name': name, 'workflow_id': workflow_id, 'status': 'invalidated', 'parameters': None, 'products': {}, 'executions': [ { 'execution_id': 1, 'step': 'step-0', 'name': 'test invalid operation', 'status': 'invalidated', }, ], } self.assertEquals(result, expected)

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55,448

5.50444

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0.038837

0.020658

0.874557

0.853978

0.835327

0.819588

0.810695

0.793539

0

0.007136

0.403513

55,448

1,540

97

36.005195

0.761263

0.020416

0

0.764359

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0.17243

0.002547

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0.097938

1

0.021355

false

0.001473

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0

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6d600b62eac5a357f75e569366238d136eee669d

215,123

py

Python

tests/template_builder/conftest.py

ZackPashkin/toloka-kit

8f650e5d8cdded1949ca633cf78f9b851ce839bb

[ "Apache-2.0" ]

153

2021-02-06T13:41:11.000Z

2022-03-19T17:51:01.000Z

tests/template_builder/conftest.py

ZackPashkin/toloka-kit

8f650e5d8cdded1949ca633cf78f9b851ce839bb

[ "Apache-2.0" ]

29

2021-01-15T12:54:37.000Z

2022-02-07T07:45:32.000Z

tests/template_builder/conftest.py

ZackPashkin/toloka-kit

8f650e5d8cdded1949ca633cf78f9b851ce839bb

[ "Apache-2.0" ]

17

2021-01-29T15:20:04.000Z

2022-01-30T07:21:03.000Z

# flake8: noqa import pytest EXAMPLES = [ { "config": "{\n \"vars\": {\n \"author\": \"assessorlead\",\n \"task\": \"old\",\n \"yandex\": {\n \"type\": \"helper.search-query\",\n \"engine\": \"yandex\",\n \"query\": {\n \"type\": \"data.input\",\n \"path\": \"query\"\n }\n }\n },\n \"view\": {\n \"type\": \"view.list\",\n \"items\": [\n {\n \"type\": \"view.alert\",\n \"theme\": \"info\",\n \"content\": {\n \"type\": \"view.text\",\n \"content\": {\n \"type\": \"data.input\",\n \"path\": \"query\"\n }\n }\n },\n {\n \"type\": \"view.action-button\",\n \"label\": \"\u0423\u0442\u043e\u0447\u043d\u0438\u0442\u044c \u0432 \u042f\u043d\u0434\u0435\u043a\u0441\u0435\",\n \"action\": {\n \"type\": \"action.open-link\",\n \"payload\": {\n \"$ref\": \"vars.yandex\"\n }\n }\n },\n {\n \"type\": \"field.button-radio-group\",\n \"options\": [\n {\n \"label\": \"\u0414\u0430\",\n \"value\": \"yes\"\n },\n {\n \"label\": \"\u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\",\n \"value\": \"maybe\"\n },\n {\n \"label\": \"\u041d\u0435\u0442\",\n \"value\": \"no\"\n }\n ],\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n }\n }\n ],\n \"validation\": {\n \"type\": \"condition.required\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n }\n }\n },\n \"plugins\": [\n {\n \"1\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n },\n \"payload\": \"yes\"\n },\n \"2\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n },\n \"payload\": \"maybe\"\n },\n \"3\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n },\n \"payload\": \"no\"\n },\n \"type\": \"plugin.hotkeys\"\n },\n {\n \"type\": \"plugin.toloka\",\n \"layout\": {\n \"kind\": \"scroll\",\n \"taskWidth\": 500\n }\n }\n ]\n}", "lock": { "action.open-link": "1.0.1", "action.set": "1.0.1", "condition.required": "1.1.0", "core": "1.3.1", "field.button-radio-group": "1.0.1", "helper.search-query": "1.1.1", "plugin.hotkeys": "1.0.2", "plugin.toloka": "1.1.0", "view.action-button": "1.0.0", "view.alert": "1.0.0", "view.list": "1.0.0", "view.text": "1.0.0" }, "settings": { "showFinish": True, "showFullscreen": True, "showInstructions": True, "showMessage": True, "showReward": True, "showSkip": True, "showSubmit": True, "showTimer": True, "showTitle": True }, "type": "tb", "assets": { "script_urls": [ "https://yastat.net/s3/tb/launcher.template/_/master.825664685.2020-11-19.6390a7cf.js" ], "style_urls": [ "https://yastat.net/s3/tb/launcher.template/_/master.825664685.2020-11-19.6390a7cf.css" ] }, "markup": "", "styles": "", "script": "window.configureTemplate({\n \"vars\": {\n \"author\": \"assessorlead\",\n \"task\": \"old\",\n \"yandex\": {\n \"type\": \"helper.search-query\",\n \"engine\": \"yandex\",\n \"query\": {\n \"type\": \"data.input\",\n \"path\": \"query\"\n }\n }\n },\n \"view\": {\n \"type\": \"view.list\",\n \"items\": [\n {\n \"type\": \"view.alert\",\n \"theme\": \"info\",\n \"content\": {\n \"type\": \"view.text\",\n \"content\": {\n \"type\": \"data.input\",\n \"path\": \"query\"\n }\n }\n },\n {\n \"type\": \"view.action-button\",\n \"label\": \"\u0423\u0442\u043e\u0447\u043d\u0438\u0442\u044c \u0432 \u042f\u043d\u0434\u0435\u043a\u0441\u0435\",\n \"action\": {\n \"type\": \"action.open-link\",\n \"payload\": {\n \"$ref\": \"vars.yandex\"\n }\n }\n },\n {\n \"type\": \"field.button-radio-group\",\n \"options\": [\n {\n \"label\": \"\u0414\u0430\",\n \"value\": \"yes\"\n },\n {\n \"label\": \"\u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\",\n \"value\": \"maybe\"\n },\n {\n \"label\": \"\u041d\u0435\u0442\",\n \"value\": \"no\"\n }\n ],\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n }\n }\n ],\n \"validation\": {\n \"type\": \"condition.required\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n }\n }\n },\n \"plugins\": [\n {\n \"1\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n },\n \"payload\": \"yes\"\n },\n \"2\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n },\n \"payload\": \"maybe\"\n },\n \"3\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"result\"\n },\n \"payload\": \"no\"\n },\n \"type\": \"plugin.hotkeys\"\n },\n {\n \"type\": \"plugin.toloka\",\n \"layout\": {\n \"kind\": \"scroll\",\n \"taskWidth\": 500\n }\n }\n ]\n}, {\"action.open-link\":\"1.0.1\",\"action.set\":\"1.0.1\",\"condition.required\":\"1.1.0\",\"core\":\"1.3.1\",\"field.button-radio-group\":\"1.0.1\",\"helper.search-query\":\"1.1.1\",\"plugin.hotkeys\":\"1.0.2\",\"plugin.toloka\":\"1.1.0\",\"view.action-button\":\"1.0.0\",\"view.alert\":\"1.0.0\",\"view.list\":\"1.0.0\",\"view.text\":\"1.0.0\"}, 'https://tb.yandex.net/registry2')" }, { "config": "{\n \"vars\": {\n \"author\": \"assessorlead\",\n 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\u043f\u0440\u043e\u0434\u0443\u043a\u0446\u0438\u044f/\u0435\u0435 \u0443\u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435\\n- \u0420\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043a\u0443\u0440\u0435\u043d\u0438\u0435/\u043f\u0430\u0440\u0435\u043d\u0438\u0435 \u0418 \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u0430\u044f \u0441 \u043d\u0438\u043c\u0438 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u043a\u0430 (\u0442\u0430\u0431\u0430\u0447\u043d\u044b\u0435 \u0438\u0437\u0434\u0435\u043b\u0438\u044f, \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0435 \u0441\u0438\u0433\u0430\u0440\u0435\u0442\u044b, \u043a\u0430\u043b\u044c\u044f\u043d\u044b \u0438 \u0442.\u0434.)\\n- \u0420\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u043d\u0430\u0440\u043a\u043e\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0432\u0435\u0449\u0435\u0441\u0442\u0432\u0430/\u0438\u0445 \u0443\u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435\"\n },\n {\n \"label\": \"\u041a\u0430\u0437\u0438\u043d\u043e, \u0430\u0437\u0430\u0440\u0442\u043d\u044b\u0435 \u0438\u0433\u0440\u044b (\u043d\u0430 \u0434\u0435\u043d\u044c\u0433\u0438, \u0430 \u041d\u0415 \u043d\u0430\u0441\u0442\u043e\u043b\u044c\u043d\u044b\u0435 \u0438\u0433\u0440\u044b)\",\n \"value\": \"casino\",\n \"hint\": \"- \u041b\u043e\u0433\u043e\u0442\u0438\u043f\u044b \u043a\u0430\u0437\u0438\u043d\u043e (Vavada, \u0412\u0443\u043b\u043a\u0430\u043d, \u0410\u0437\u0438\u043d\u043e 777)\\n- \u0418\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u044b \u0438\u0433\u043e\u0440\u043d\u044b\u0435 \u0441\u0442\u043e\u043b\u044b, \u0438\u0433\u0440\u043e\u0432\u044b\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u044b, \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0441 \u043e\u043d\u043b\u0430\u0439\u043d-\u043a\u0430\u0437\u0438\u043d\u043e/\u0430\u0437\u0430\u0440\u0442\u043d\u044b\u043c\u0438 \u0438\u0433\u0440\u0430\u043c\u0438 \u0438 \u0437\u0430\u0441\u0442\u0430\u0432\u043a\u0438 \u0441 \u0438\u0433\u0440\u043e\u0432\u044b\u0445 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u043e\u0432\\n- \u041f\u0440\u0438\u0437\u044b\u0432 \u043a \u0438\u0433\u0440\u0435 \u043d\u0430 \u0434\u0435\u043d\u044c\u0433\u0438\"\n },\n {\n \"label\": \"\u0414\u0435\u043d\u044c\u0433\u0438, \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u0435 \u043a\u0430\u0440\u0442\u044b, \u0440\u0435\u043a\u043b\u0430\u043c\u0430 \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0430/\u0437\u0430\u0439\u043c\u043e\u0432\",\n \"value\": \"casino_grey_zone\",\n \"hint\": \"- \u0418\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u043a\u0443\u043f\u044e\u0440 \u0438\u043b\u0438 \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u0445 \u043a\u0430\u0440\u0442 (\u043a\u043b\u044e\u0447\u0435\u0439 \u043e\u0442 \u043c\u0430\u0448\u0438\u043d \u0438 \u0442.\u0434.) \u0431\u0435\u0437 \u043f\u0440\u044f\u043c\u043e\u0439 \u0441\u0432\u044f\u0437\u0438 \u0441 \u043a\u0430\u0437\u0438\u043d\u043e\\n- \u0420\u0435\u043a\u043b\u0430\u043c\u0430 \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0430/\u0437\u0430\u0439\u043c\u043e\u0432\"\n },\n {\n \"label\": \"\u041e\u0440\u0443\u0436\u0438\u0435\",\n \"value\": \"guns\",\n \"hint\": \"- \u0425\u043e\u043b\u043e\u0434\u043d\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435, \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u0412\u0418\u0414\u041d\u041e \u0440\u0435\u0436\u0443\u0449\u0443\u044e \u0447\u0430\u0441\u0442\u044c\\n- \u041e\u0433\u043d\u0435\u0441\u0442\u0440\u0435\u043b\u044c\u043d\u043e\u0435, \u043f\u043d\u0435\u0432\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435 \u0411\u0415\u0417 \u0443\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u0435\u0433\u043e \u043c\u043e\u0434\u0435\u043b\u0438\\n- \u041c\u0435\u0442\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435\\n- \u041c\u0438\u043d\u044b \u0438 \u0433\u0440\u0430\u043d\u0430\u0442\u044b\\n- \u0420\u0430\u043a\u0435\u0442\u043d\u043e\u0435/\u0442\u043e\u0440\u043f\u0435\u0434\u043d\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435\\n- \u042d\u043b\u0435\u043a\u0442\u0440\u043e\u0448\u043e\u043a\u0435\u0440\u044b\"\n },\n {\n \"label\": \"\u041f\u0443\u0433\u0430\u044e\u0449\u0435\u0435/\u0442\u0440\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0435/\u043e\u0442\u0432\u0440\u0430\u0442\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0438\u043b\u0438 \u043e\u0441\u043a\u043e\u0440\u0431\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435\",\n \"value\": \"yellow\",\n \"hint\": \"- \u041f\u0443\u0433\u0430\u044e\u0449\u0438\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f: \u043d\u0435\u0447\u0438\u0441\u0442\u044c (\u0411\u0415\u0417 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430 \u0432 \u0432\u0438\u0434\u0435 \u0444\u0438\u043b\u044c\u043c\u0430/\u043a\u043d\u0438\u0433\u0438/\u043f\u043e\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438), \u0441\u0446\u0435\u043d\u044b \u043d\u0430\u0441\u0438\u043b\u0438\u044f, \u0440\u0430\u0441\u0447\u043b\u0435\u043d\u0435\u043d\u043a\u0430, \u0438\u0441\u043a\u0440\u0438\u0432\u043b\u0435\u043d\u043d\u044b\u0435 \u043e\u0442 \u0443\u0436\u0430\u0441\u0430/\u0421\u0418\u041b\u042c\u041d\u041e\u0419 \u0431\u043e\u043b\u0438 \u043b\u0438\u0446\u0430 \u043b\u044e\u0434\u0435\u0439, \u043f\u0440\u0438\u0437\u044b\u0432\u044b \u043a \u0443\u0431\u0438\u0439\u0441\u0442\u0432\u0443/\u0441\u043c\u0435\u0440\u0442\u0438, \u0443\u0433\u0440\u043e\u0437\u044b\\n- \u0422\u0440\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f: \u043a\u0430\u0434\u0440\u044b \u0441 \u043c\u0435\u0441\u0442\u0430 \u0430\u0432\u0430\u0440\u0438\u0439, \u0441\u0432\u044f\u0437\u044c \u0441 \u0441\u0430\u043c\u043e\u0443\u0431\u0438\u0439\u0441\u0442\u0432\u043e\u043c/\u0430\u0431\u043e\u0440\u0442\u043e\u043c, \u0440\u0438\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u044b\\n- \u041e\u0442\u0432\u0440\u0430\u0442\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f - \u0433\u043d\u043e\u0439, \u043f\u0440\u044b\u0449\u0438, \u0432\u043e\u0441\u043f\u0430\u043b\u0435\u043d\u0438\u044f, \u0433\u0440\u044f\u0437\u044c, \u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043e\u0431\u044a\u0435\u0434\u043a\u0438, \u0440\u0432\u043e\u0442\u0430\\n- \u041e\u0441\u043a\u043e\u0440\u0431\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f: \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435 \u043c\u0430\u0442, \u0436\u0430\u0440\u0433\u043e\u043d, \u0440\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u044e\u0449\u0438\u0435 \u0440\u0430\u0441\u0438\u0437\u043c/\u0441\u0435\u043a\u0441\u0438\u0437\u043c/\u043d\u0430\u0446\u0438\u0437\u043c, \u043e\u0441\u043a\u043e\u0440\u0431\u043b\u044f\u044e\u0449\u0438\u0435 \u0432\u0435\u0442\u0435\u0440\u0430\u043d\u043e\u0432/\u0438\u043d\u0432\u0430\u043b\u0438\u0434\u043e\u0432\"\n },\n {\n \"label\": \"\u042d\u043b\u0435\u043c\u0435\u043d\u0442\u044b \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430\",\n \"value\": \"interface_elements\",\n \"hint\": \"- \u0418\u043c\u0438\u0442\u0430\u0446\u0438\u044f \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u044b\u0445 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u043e\u0432 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 (\u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u044b\u0435 \u043a\u043d\u043e\u043f\u043a\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435\u043b\u044c\u0437\u044f \u043d\u0430\u0436\u0430\u0442\u044c; \u043a\u0443\u0440\u0441\u043e\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0435\u043b\u044c\u0437\u044f \u043f\u043e\u0434\u0432\u0438\u0433\u0430\u0442\u044c)\"\n },\n {\n \"label\": \"\u0420\u0435\u043a\u043b\u0430\u043c\u0430 \u043c\u0433\u043d\u043e\u0432\u0435\u043d\u043d\u043e\u0433\u043e/\\\"\u0447\u0443\u0434\u0435\u0441\u043d\u043e\u0433\u043e\\\" \u043f\u043e\u0445\u0443\u0434\u0435\u043d\u0438\u044f, \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0438/\u0432\u043d\u0435\u0448\u043d\u043e\u0441\u0442\u0438/\u0437\u0434\u043e\u0440\u043e\u0432\u044c\u044f\",\n \"value\": \"yellow_grey_zone\",\n \"hint\": \"- \u041d\u0435 \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u0438\u0435 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430, \u043e\u0431\u0435\u0449\u0430\u044e\u0449\u0438\u0435 \u043c\u0433\u043d\u043e\u0432\u0435\u043d\u043d\u043e\u0435/\\\"\u0447\u0443\u0434\u0435\u0441\u043d\u043e\u0435\\\" \u0438\u0441\u0446\u0435\u043b\u0435\u043d\u0438\u0435/\u043f\u043e\u0445\u0443\u0434\u0435\u043d\u0438\u0435/\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u0441\u0430\u043c\u043e\u0447\u0443\u0432\u0441\u0442\u0432\u0438\u044f \u0438\u043b\u0438 \u0432\u043d\u0435\u0448\u043d\u043e\u0441\u0442\u0438: \u0411\u0410\u0414\u044b, \u043d\u0430\u0440\u043e\u0434\u043d\u044b\u0435 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430\\n- \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0434\u043e \u0438/\u0438\u043b\u0438 \u043f\u043e\u0441\u043b\u0435 \u043c\u0433\u043d\u043e\u0432\u0435\u043d\u043d\u043e\u0433\u043e/\\\"\u0447\u0443\u0434\u0435\u0441\u043d\u043e\u0433\u043e\\\" \u043f\u043e\u0445\u0443\u0434\u0435\u043d\u0438\u044f/\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0438/\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u044f/\u0432\u043d\u0435\u0448\u043d\u043e\u0441\u0442\u0438\"\n },\n {\n \"label\": \"\u041d\u0435\u044f\u0441\u043d\u043e, \u0447\u0442\u043e \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u043e\",\n \"value\": \"undefined\",\n \"hint\": \"- \u041d\u0435\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0438\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0431\u044a\u0435\u043a\u0442, \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u043d\u044b\u0439 \u043d\u0430 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0435\"\n }\n ],\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n }\n }\n ]\n }\n ]\n }\n ]\n },\n \"plugins\": [\n {\n \"type\": \"plugin.toloka\",\n \"layout\": {\n \"kind\": \"scroll\",\n \"taskWidth\": 690\n },\n \"notifications\": [\n {\n \"type\": \"helper.if\",\n \"condition\": {\n \"type\": \"condition.equals\",\n \"to\": \"yes\",\n \"data\": {\n \"$ref\": \"vars.top_text.show\"\n }\n },\n \"then\": {\n \"type\": \"view.text\",\n \"content\": {\n \"$ref\": \"vars.top_text.message\"\n }\n }\n }\n ]\n },\n {\n \"type\": \"plugin.trigger\",\n \"onChangeOf\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"condition\": {\n \"type\": \"condition.equals\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"to\": \"OK\"\n },\n \"action\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n },\n \"payload\": {\n \"$empty\": true\n }\n }\n },\n {\n \"type\": \"plugin.trigger\",\n \"onChangeOf\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n },\n \"condition\": {\n \"type\": \"condition.not\",\n \"condition\": {\n \"type\": \"condition.empty\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n }\n }\n },\n \"action\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"payload\": \"BAD\"\n }\n },\n {\n \"1\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"payload\": \"OK\"\n },\n \"2\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"payload\": \"BAD\"\n },\n \"3\": {\n \"type\": \"action.open-close\",\n \"view\": {\n \"$ref\": \"view.items.0\"\n }\n },\n \"q\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.porno\"\n }\n },\n \"w\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.porno_grey_zone\"\n }\n },\n \"e\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.illegal\"\n }\n },\n \"r\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.casino\"\n }\n },\n \"t\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.casino_grey_zone\"\n }\n },\n \"y\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.guns\"\n }\n },\n \"a\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.yellow\"\n }\n },\n \"s\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.interface_elements\"\n }\n },\n \"d\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.yellow_grey_zone\"\n }\n },\n \"f\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.undefined\"\n }\n },\n \"type\": \"plugin.hotkeys\"\n }\n ]\n}", "lock": { "action.open-close": "1.0.0", "action.set": "1.0.0", "action.toggle": "1.0.0", "condition.empty": "1.0.0", "condition.equals": "1.0.0", "condition.not": "1.0.0", "condition.required": "1.0.0", "core": "1.0.0", "field.button-radio": "1.0.0", "field.checkbox-group": "1.0.0", "helper.if": "1.0.0", "layout.columns": "1.0.0", "plugin.hotkeys": "1.0.0", "plugin.toloka": "1.0.0", "plugin.trigger": "1.0.0", "view.image": "1.0.0", "view.list": "1.0.0", "view.text": "1.0.0" }, "settings": { "showFinish": True, "showFullscreen": True, "showInstructions": True, "showMessage": True, "showReward": True, "showSkip": True, "showSubmit": True, "showTimer": True, "showTitle": True }, "type": "tb", "assets": { "script_urls": [ "https://yastat.net/s3/tb/launcher.template/_/master.825664685.2020-11-19.6390a7cf.js" ], "style_urls": [ "https://yastat.net/s3/tb/launcher.template/_/master.825664685.2020-11-19.6390a7cf.css" ] }, "markup": "", "styles": "", "script": "window.configureTemplate({\n \"vars\": {\n \"author\": \"sukhodolskaya\",\n \"task\": \"old\",\n \"top_text\": {\n \"show\": \"yes\",\n \"message\": \"\u0414\u043e\u0431\u0430\u0432\u043b\u0435\u043d hotkey 3 \u043d\u0430 \u0440\u0430\u0437\u0432\u0435\u0440\u0442\u044b\u0432\u0430\u043d\u0438\u0435/\u0441\u0432\u0435\u0440\u0442\u044b\u0432\u0430\u043d\u0438\u0435 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0438!\"\n }\n },\n \"view\": {\n \"type\": \"layout.columns\",\n \"items\": [\n {\n \"type\": \"view.image\",\n \"url\": {\n \"type\": \"data.input\",\n \"path\": \"image\"\n }\n },\n {\n \"type\": \"layout.columns\",\n \"ratio\": [\n 1,\n 10\n ],\n \"minWidth\": 0,\n \"items\": [\n {\n \"type\": \"field.button-radio\",\n \"label\": \"\u0414\u0430\",\n \"validation\": {\n \"type\": \"condition.required\"\n },\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"valueToSet\": \"OK\"\n },\n {\n \"type\": \"view.list\",\n \"items\": [\n {\n \"type\": \"field.button-radio\",\n \"label\": \"\u041d\u0435\u0442\",\n \"validation\": {\n \"type\": \"condition.required\"\n },\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"valueToSet\": \"BAD\"\n },\n {\n \"type\": \"field.checkbox-group\",\n \"validation\": {\n \"type\": \"helper.if\",\n \"condition\": {\n \"type\": \"condition.equals\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"to\": \"BAD\"\n },\n \"then\": {\n \"type\": \"condition.required\"\n }\n },\n \"options\": [\n {\n \"label\": \"\u0422\u043e\u0432\u0430\u0440\u044b \u0434\u043b\u044f \u0432\u0437\u0440\u043e\u0441\u043b\u044b\u0445\",\n \"value\": \"porno\",\n \"hint\": \"- \u0421\u0435\u043a\u0441-\u0438\u0433\u0440\u0443\u0448\u043a\u0438 (\u0432\u0438\u0431\u0440\u0430\u0442\u043e\u0440\u044b, \u043d\u0430\u0440\u0443\u0447\u043d\u0438\u043a\u0438, \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u043a\u0430 \u0411\u0414\u0421\u041c \u0438 \u0442.\u0434.)\\n\"\n },\n {\n \"label\": \"\u042d\u0440\u043e\u0442\u0438\u043a\u0430, \u043f\u043e\u0440\u043d\u043e\",\n \"value\": \"porno_grey_zone\",\n \"hint\": \"- \u041e\u0431\u043d\u0430\u0436\u0435\u043d\u043a\u0430/\u043f\u043e\u0441\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0441\u0446\u0435\u043d\u044b\\n- \u041d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u0430\u043a\u0446\u0435\u043d\u0442 \u043d\u0430 \u0433\u0440\u0443\u0434\u044c/\u043f\u043e\u043f\u0443/\u0433\u0435\u043d\u0438\u0442\u0430\u043b\u0438\u0438\\n- \u041d\u0430\u0440\u0438\u0441\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u0436\u0438 (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0430\u043d\u0438\u043c\u044d) \u0441 \u043d\u0430\u043c\u0435\u043a\u043e\u043c \u043d\u0430 \u044d\u0440\u043e\u0442\u0438\u043a\u0443/\u043f\u043e\u0440\u043d\u043e\\n- \u042d\u0440\u043e\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u0431\u0435\u043b\u044c\u0435 \u043d\u0430 \u043c\u043e\u0434\u0435\u043b\u044f\u0445 \u043e\u0431\u043e\u0435\u0433\u043e \u043f\u043e\u043b\u0430 (\u0441\u0442\u0440\u0438\u043d\u0433\u0438, \u043a\u0440\u0443\u0436\u0435\u0432\u043d\u043e\u0435, \u043f\u0440\u043e\u0441\u0432\u0435\u0447\u0438\u0432\u0430\u044e\u0449\u0435\u0435)\"\n },\n {\n \"label\": \"\u0410\u043b\u043a\u043e\u0433\u043e\u043b\u044c, \u043a\u0443\u0440\u0435\u043d\u0438\u0435, \u043d\u0430\u0440\u043a\u043e\u0442\u0438\u043a\u0438\",\n \"value\": \"illegal\",\n \"hint\": \"- \u0420\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0430\u043b\u043a\u043e\u0433\u043e\u043b\u044c\u043d\u0430\u044f \u043f\u0440\u043e\u0434\u0443\u043a\u0446\u0438\u044f/\u0435\u0435 \u0443\u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435\\n- \u0420\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043a\u0443\u0440\u0435\u043d\u0438\u0435/\u043f\u0430\u0440\u0435\u043d\u0438\u0435 \u0418 \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u0430\u044f \u0441 \u043d\u0438\u043c\u0438 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u043a\u0430 (\u0442\u0430\u0431\u0430\u0447\u043d\u044b\u0435 \u0438\u0437\u0434\u0435\u043b\u0438\u044f, \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0435 \u0441\u0438\u0433\u0430\u0440\u0435\u0442\u044b, \u043a\u0430\u043b\u044c\u044f\u043d\u044b \u0438 \u0442.\u0434.)\\n- \u0420\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u043d\u0430\u0440\u043a\u043e\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0432\u0435\u0449\u0435\u0441\u0442\u0432\u0430/\u0438\u0445 \u0443\u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435\"\n },\n {\n \"label\": \"\u041a\u0430\u0437\u0438\u043d\u043e, \u0430\u0437\u0430\u0440\u0442\u043d\u044b\u0435 \u0438\u0433\u0440\u044b (\u043d\u0430 \u0434\u0435\u043d\u044c\u0433\u0438, \u0430 \u041d\u0415 \u043d\u0430\u0441\u0442\u043e\u043b\u044c\u043d\u044b\u0435 \u0438\u0433\u0440\u044b)\",\n \"value\": \"casino\",\n \"hint\": \"- \u041b\u043e\u0433\u043e\u0442\u0438\u043f\u044b \u043a\u0430\u0437\u0438\u043d\u043e (Vavada, \u0412\u0443\u043b\u043a\u0430\u043d, \u0410\u0437\u0438\u043d\u043e 777)\\n- \u0418\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u044b \u0438\u0433\u043e\u0440\u043d\u044b\u0435 \u0441\u0442\u043e\u043b\u044b, \u0438\u0433\u0440\u043e\u0432\u044b\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u044b, \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0441 \u043e\u043d\u043b\u0430\u0439\u043d-\u043a\u0430\u0437\u0438\u043d\u043e/\u0430\u0437\u0430\u0440\u0442\u043d\u044b\u043c\u0438 \u0438\u0433\u0440\u0430\u043c\u0438 \u0438 \u0437\u0430\u0441\u0442\u0430\u0432\u043a\u0438 \u0441 \u0438\u0433\u0440\u043e\u0432\u044b\u0445 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u043e\u0432\\n- \u041f\u0440\u0438\u0437\u044b\u0432 \u043a \u0438\u0433\u0440\u0435 \u043d\u0430 \u0434\u0435\u043d\u044c\u0433\u0438\"\n },\n {\n \"label\": \"\u0414\u0435\u043d\u044c\u0433\u0438, \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u0435 \u043a\u0430\u0440\u0442\u044b, \u0440\u0435\u043a\u043b\u0430\u043c\u0430 \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0430/\u0437\u0430\u0439\u043c\u043e\u0432\",\n \"value\": \"casino_grey_zone\",\n \"hint\": \"- \u0418\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u043a\u0443\u043f\u044e\u0440 \u0438\u043b\u0438 \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u0445 \u043a\u0430\u0440\u0442 (\u043a\u043b\u044e\u0447\u0435\u0439 \u043e\u0442 \u043c\u0430\u0448\u0438\u043d \u0438 \u0442.\u0434.) \u0431\u0435\u0437 \u043f\u0440\u044f\u043c\u043e\u0439 \u0441\u0432\u044f\u0437\u0438 \u0441 \u043a\u0430\u0437\u0438\u043d\u043e\\n- \u0420\u0435\u043a\u043b\u0430\u043c\u0430 \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0430/\u0437\u0430\u0439\u043c\u043e\u0432\"\n },\n {\n \"label\": \"\u041e\u0440\u0443\u0436\u0438\u0435\",\n \"value\": \"guns\",\n \"hint\": \"- \u0425\u043e\u043b\u043e\u0434\u043d\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435, \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u0412\u0418\u0414\u041d\u041e \u0440\u0435\u0436\u0443\u0449\u0443\u044e \u0447\u0430\u0441\u0442\u044c\\n- \u041e\u0433\u043d\u0435\u0441\u0442\u0440\u0435\u043b\u044c\u043d\u043e\u0435, \u043f\u043d\u0435\u0432\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435 \u0411\u0415\u0417 \u0443\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u0435\u0433\u043e \u043c\u043e\u0434\u0435\u043b\u0438\\n- \u041c\u0435\u0442\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435\\n- \u041c\u0438\u043d\u044b \u0438 \u0433\u0440\u0430\u043d\u0430\u0442\u044b\\n- \u0420\u0430\u043a\u0435\u0442\u043d\u043e\u0435/\u0442\u043e\u0440\u043f\u0435\u0434\u043d\u043e\u0435 \u043e\u0440\u0443\u0436\u0438\u0435\\n- \u042d\u043b\u0435\u043a\u0442\u0440\u043e\u0448\u043e\u043a\u0435\u0440\u044b\"\n },\n {\n \"label\": \"\u041f\u0443\u0433\u0430\u044e\u0449\u0435\u0435/\u0442\u0440\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0435/\u043e\u0442\u0432\u0440\u0430\u0442\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0438\u043b\u0438 \u043e\u0441\u043a\u043e\u0440\u0431\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435\",\n \"value\": \"yellow\",\n \"hint\": \"- \u041f\u0443\u0433\u0430\u044e\u0449\u0438\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f: \u043d\u0435\u0447\u0438\u0441\u0442\u044c (\u0411\u0415\u0417 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430 \u0432 \u0432\u0438\u0434\u0435 \u0444\u0438\u043b\u044c\u043c\u0430/\u043a\u043d\u0438\u0433\u0438/\u043f\u043e\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438), \u0441\u0446\u0435\u043d\u044b \u043d\u0430\u0441\u0438\u043b\u0438\u044f, \u0440\u0430\u0441\u0447\u043b\u0435\u043d\u0435\u043d\u043a\u0430, \u0438\u0441\u043a\u0440\u0438\u0432\u043b\u0435\u043d\u043d\u044b\u0435 \u043e\u0442 \u0443\u0436\u0430\u0441\u0430/\u0421\u0418\u041b\u042c\u041d\u041e\u0419 \u0431\u043e\u043b\u0438 \u043b\u0438\u0446\u0430 \u043b\u044e\u0434\u0435\u0439, \u043f\u0440\u0438\u0437\u044b\u0432\u044b \u043a \u0443\u0431\u0438\u0439\u0441\u0442\u0432\u0443/\u0441\u043c\u0435\u0440\u0442\u0438, \u0443\u0433\u0440\u043e\u0437\u044b\\n- \u0422\u0440\u0430\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f: \u043a\u0430\u0434\u0440\u044b \u0441 \u043c\u0435\u0441\u0442\u0430 \u0430\u0432\u0430\u0440\u0438\u0439, \u0441\u0432\u044f\u0437\u044c \u0441 \u0441\u0430\u043c\u043e\u0443\u0431\u0438\u0439\u0441\u0442\u0432\u043e\u043c/\u0430\u0431\u043e\u0440\u0442\u043e\u043c, \u0440\u0438\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u044b\\n- \u041e\u0442\u0432\u0440\u0430\u0442\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f - \u0433\u043d\u043e\u0439, \u043f\u0440\u044b\u0449\u0438, \u0432\u043e\u0441\u043f\u0430\u043b\u0435\u043d\u0438\u044f, \u0433\u0440\u044f\u0437\u044c, \u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043e\u0431\u044a\u0435\u0434\u043a\u0438, \u0440\u0432\u043e\u0442\u0430\\n- \u041e\u0441\u043a\u043e\u0440\u0431\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f: \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435 \u043c\u0430\u0442, \u0436\u0430\u0440\u0433\u043e\u043d, \u0440\u0435\u043a\u043b\u0430\u043c\u0438\u0440\u0443\u044e\u0449\u0438\u0435 \u0440\u0430\u0441\u0438\u0437\u043c/\u0441\u0435\u043a\u0441\u0438\u0437\u043c/\u043d\u0430\u0446\u0438\u0437\u043c, \u043e\u0441\u043a\u043e\u0440\u0431\u043b\u044f\u044e\u0449\u0438\u0435 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\u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0438/\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u044f/\u0432\u043d\u0435\u0448\u043d\u043e\u0441\u0442\u0438\"\n },\n {\n \"label\": \"\u041d\u0435\u044f\u0441\u043d\u043e, \u0447\u0442\u043e \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u043e\",\n \"value\": \"undefined\",\n \"hint\": \"- \u041d\u0435\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0438\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0431\u044a\u0435\u043a\u0442, \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u043d\u044b\u0439 \u043d\u0430 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0435\"\n }\n ],\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n }\n }\n ]\n }\n ]\n }\n ]\n },\n \"plugins\": [\n {\n \"type\": \"plugin.toloka\",\n \"layout\": {\n \"kind\": \"scroll\",\n \"taskWidth\": 690\n },\n \"notifications\": [\n {\n \"type\": \"helper.if\",\n \"condition\": {\n \"type\": \"condition.equals\",\n \"to\": \"yes\",\n \"data\": {\n \"$ref\": \"vars.top_text.show\"\n }\n },\n \"then\": {\n \"type\": \"view.text\",\n \"content\": {\n \"$ref\": \"vars.top_text.message\"\n }\n }\n }\n ]\n },\n {\n \"type\": \"plugin.trigger\",\n \"onChangeOf\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"condition\": {\n \"type\": \"condition.equals\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"to\": \"OK\"\n },\n \"action\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n },\n \"payload\": {\n \"$empty\": true\n }\n }\n },\n {\n \"type\": \"plugin.trigger\",\n \"onChangeOf\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n },\n \"condition\": {\n \"type\": \"condition.not\",\n \"condition\": {\n \"type\": \"condition.empty\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons\"\n }\n }\n },\n \"action\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"payload\": \"BAD\"\n }\n },\n {\n \"1\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"payload\": \"OK\"\n },\n \"2\": {\n \"type\": \"action.set\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"estimation\"\n },\n \"payload\": \"BAD\"\n },\n \"3\": {\n \"type\": \"action.open-close\",\n \"view\": {\n \"$ref\": \"view.items.0\"\n }\n },\n \"q\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.porno\"\n }\n },\n \"w\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.porno_grey_zone\"\n }\n },\n \"e\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.illegal\"\n }\n },\n \"r\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.casino\"\n }\n },\n \"t\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.casino_grey_zone\"\n }\n },\n \"y\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.guns\"\n }\n },\n \"a\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.yellow\"\n }\n },\n \"s\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.interface_elements\"\n }\n },\n \"d\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.yellow_grey_zone\"\n }\n },\n \"f\": {\n \"type\": \"action.toggle\",\n \"data\": {\n \"type\": \"data.output\",\n \"path\": \"reasons.undefined\"\n }\n },\n \"type\": \"plugin.hotkeys\"\n }\n ]\n}, {\"action.open-close\":\"1.0.0\",\"action.set\":\"1.0.0\",\"action.toggle\":\"1.0.0\",\"condition.empty\":\"1.0.0\",\"condition.equals\":\"1.0.0\",\"condition.not\":\"1.0.0\",\"condition.required\":\"1.0.0\",\"core\":\"1.0.0\",\"field.button-radio\":\"1.0.0\",\"field.checkbox-group\":\"1.0.0\",\"helper.if\":\"1.0.0\",\"layout.columns\":\"1.0.0\",\"plugin.hotkeys\":\"1.0.0\",\"plugin.toloka\":\"1.0.0\",\"plugin.trigger\":\"1.0.0\",\"view.image\":\"1.0.0\",\"view.list\":\"1.0.0\",\"view.text\":\"1.0.0\"}, 'https://tb.yandex.net/registry2')" } ] @pytest.fixture def example_view_spec(request): return EXAMPLES[request.param]

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769

py

Python

models/managment.py

AhmedAlaa2024/Heal-and-Cure

c5db8f0e87cfe2f7394bc7f84c9ef490ceedf7b4

[ "MIT" ]

1

2022-01-16T16:37:53.000Z

models/managment.py

AhmedAlaa2024/Heal-and-Cure

c5db8f0e87cfe2f7394bc7f84c9ef490ceedf7b4

[ "MIT" ]

null

models/managment.py

AhmedAlaa2024/Heal-and-Cure

c5db8f0e87cfe2f7394bc7f84c9ef490ceedf7b4

[ "MIT" ]

null

from ..app import cursor class Department(): def __init__(self): pass def get(): pass def insert(): pass def update(): pass def delete(): pass class Room(): def __init__(self): pass def get(): pass def insert(): pass def update(): pass def delete(): pass class EmploymentContract(): def __init__(self): pass def get(): pass def insert(): pass def update(): pass def delete(): pass class OperationContract(): def __init__(self): pass def get(): pass def insert(): pass def update(): pass def delete(): pass

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edad1a8e164ac1af4510970df1f716f3ae01dafd

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py

Python

appengine-mapreduce/python/test/mapreduce/output_writers_end_to_end_test.py

bslatkin/8-bits

1608a53bdd5ff491519396212679dc79cc07fca4

[ "Apache-2.0" ]

2

2015-02-18T08:12:23.000Z

2015-09-24T20:35:41.000Z

appengine-mapreduce/python/test/mapreduce/output_writers_end_to_end_test.py

bslatkin/8-bits

1608a53bdd5ff491519396212679dc79cc07fca4

[ "Apache-2.0" ]

null

appengine-mapreduce/python/test/mapreduce/output_writers_end_to_end_test.py

bslatkin/8-bits

1608a53bdd5ff491519396212679dc79cc07fca4

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright 2011 Google Inc. All Rights Reserved. import unittest from google.appengine.api import files from google.appengine.ext import db from mapreduce import control from mapreduce import model from mapreduce import output_writers from mapreduce import test_support from testlib import testutil BLOBSTORE_WRITER_NAME = (output_writers.__name__ + "." + output_writers.BlobstoreOutputWriter.__name__) FILE_WRITER_NAME = (output_writers.__name__ + "." + output_writers.FileOutputWriter.__name__) class TestEntity(db.Model): """Test entity class.""" def test_handler_yield_key_str(entity): """Test handler which yields entity key.""" yield str(entity.key()) + "\n" class FileOutputWriterEndToEndTest(testutil.HandlerTestBase): """End-to-end tests for FileOutputWriter using googlestore.""" def testSingleShard(self): entity_count = 1000 for _ in range(entity_count): TestEntity().put() mapreduce_id = control.start_map( "test_map", __name__ + ".test_handler_yield_key_str", "mapreduce.input_readers.DatastoreInputReader", { "entity_kind": __name__ + "." + TestEntity.__name__, "filesystem": "gs", "gs_bucket_name": "bucket" }, shard_count=4, base_path="/mapreduce_base_path", output_writer_spec=FILE_WRITER_NAME) test_support.execute_until_empty(self.taskqueue) mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id) filenames = output_writers.FileOutputWriter.get_filenames(mapreduce_state) self.assertEqual(1, len(filenames)) self.assertTrue(filenames[0].startswith("/gs/bucket/")) with files.open(filenames[0], "r") as f: data = f.read(10000000) self.assertEquals(1000, len(data.strip().split("\n"))) def testDedicatedParams(self): entity_count = 1000 for _ in range(entity_count): TestEntity().put() mapreduce_id = control.start_map( "test_map", __name__ + ".test_handler_yield_key_str", "mapreduce.input_readers.DatastoreInputReader", { "input_reader": { "entity_kind": __name__ + "." + TestEntity.__name__, }, "output_writer": { "filesystem": "gs", "gs_bucket_name": "bucket", }, }, shard_count=4, base_path="/mapreduce_base_path", output_writer_spec=FILE_WRITER_NAME) test_support.execute_until_empty(self.taskqueue) mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id) filenames = output_writers.FileOutputWriter.get_filenames(mapreduce_state) self.assertEqual(1, len(filenames)) self.assertTrue(filenames[0].startswith("/gs/bucket/")) with files.open(filenames[0], "r") as f: data = f.read(10000000) self.assertEquals(1000, len(data.strip().split("\n"))) def testMultipleShards(self): entity_count = 1000 for _ in range(entity_count): TestEntity().put() mapreduce_id = control.start_map( "test_map", __name__ + ".test_handler_yield_key_str", "mapreduce.input_readers.DatastoreInputReader", { "entity_kind": __name__ + "." + TestEntity.__name__, "output_sharding": "input", "filesystem": "gs", }, shard_count=4, base_path="/mapreduce_base_path", output_writer_spec=BLOBSTORE_WRITER_NAME) test_support.execute_until_empty(self.taskqueue) mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id) filenames = output_writers.BlobstoreOutputWriter.get_filenames( mapreduce_state) self.assertEqual(4, len(filenames)) file_lengths = [] for filename in filenames: self.assertTrue(filename.startswith("/blobstore/")) self.assertFalse(filename.startswith("/blobstore/writable:")) with files.open(filename, "r") as f: data = f.read(10000000) file_lengths.append(len(data.strip().split("\n"))) # these numbers are totally random and depend on our sharding, # which is quite deterministic. expected_lengths = [199, 210, 275, 316] self.assertEqual(1000, sum(expected_lengths)) self.assertEquals(expected_lengths, file_lengths) class BlobstoreOutputWriterEndToEndTest(testutil.HandlerTestBase): """End-to-end tests for BlobstoreOutputWriter. BlobstoreOutputWriter isn't complex enough yet to do extensive unit tests. Do end-to-end tests just to check that it works. """ def testSingleShard(self): entity_count = 1000 for _ in range(entity_count): TestEntity().put() mapreduce_id = control.start_map( "test_map", __name__ + ".test_handler_yield_key_str", "mapreduce.input_readers.DatastoreInputReader", { "entity_kind": __name__ + "." + TestEntity.__name__, }, shard_count=4, base_path="/mapreduce_base_path", output_writer_spec=BLOBSTORE_WRITER_NAME) test_support.execute_until_empty(self.taskqueue) mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id) filenames = output_writers.BlobstoreOutputWriter.get_filenames( mapreduce_state) self.assertEqual(1, len(filenames)) blob_name = filenames[0] self.assertTrue(blob_name.startswith("/blobstore/")) self.assertFalse(blob_name.startswith("/blobstore/writable:")) with files.open(blob_name, "r") as f: data = f.read(10000000) self.assertEquals(1000, len(data.strip().split("\n"))) def testMultipleShards(self): entity_count = 1000 for _ in range(entity_count): TestEntity().put() mapreduce_id = control.start_map( "test_map", __name__ + ".test_handler_yield_key_str", "mapreduce.input_readers.DatastoreInputReader", { "entity_kind": __name__ + "." + TestEntity.__name__, "output_sharding": "input", }, shard_count=4, base_path="/mapreduce_base_path", output_writer_spec=BLOBSTORE_WRITER_NAME) test_support.execute_until_empty(self.taskqueue) mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id) filenames = output_writers.BlobstoreOutputWriter.get_filenames( mapreduce_state) self.assertEqual(4, len(filenames)) file_lengths = [] for filename in filenames: self.assertTrue(filename.startswith("/blobstore/")) self.assertFalse(filename.startswith("/blobstore/writable:")) with files.open(filename, "r") as f: data = f.read(10000000) file_lengths.append(len(data.strip().split("\n"))) # these numbers are totally random and depend on our sharding, # which is quite deterministic. expected_lengths = [199, 210, 275, 316] self.assertEqual(1000, sum(expected_lengths)) self.assertEquals(expected_lengths, file_lengths) if __name__ == "__main__": unittest.main()

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edb43ce7aa8578f52842a2ecd0bd1d1222305d42

205

py

Python

skyflow/service_account/__init__.py

skyflowapi/skyflow-python

1c7220de6698fd6a807932d3d3846b7fe4c61a5c

[ "MIT" ]

2

2022-03-08T22:08:34.000Z

2022-03-31T15:36:23.000Z

skyflow/service_account/__init__.py

skyflowapi/skyflow-python

1c7220de6698fd6a807932d3d3846b7fe4c61a5c

[ "MIT" ]

1

2022-03-23T04:55:58.000Z

skyflow/service_account/__init__.py

skyflowapi/skyflow-python

1c7220de6698fd6a807932d3d3846b7fe4c61a5c

[ "MIT" ]

4

2022-01-04T10:38:36.000Z

2022-01-27T06:16:45.000Z

from ._token import generate_bearer_token from ._token import generate_bearer_token from ._token import ResponseToken from ._token import generate_bearer_token_from_creds from ._validity import is_expired

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11

6106119816964315880ef3fd38c2875cc83aa41d

1,850

py

Python

rdmo/questions/migrations/0037_rename_en_to_lang1.py

Raspeanut/rdmo

9f785010a499c372a2f8368ccf76d2ea4150adcb

[ "Apache-2.0" ]

77

2016-08-09T11:40:20.000Z

2022-03-06T11:03:26.000Z

rdmo/questions/migrations/0037_rename_en_to_lang1.py

Raspeanut/rdmo

9f785010a499c372a2f8368ccf76d2ea4150adcb

[ "Apache-2.0" ]

377

2016-07-01T13:59:36.000Z

2022-03-30T13:53:19.000Z

rdmo/questions/migrations/0037_rename_en_to_lang1.py

Raspeanut/rdmo

9f785010a499c372a2f8368ccf76d2ea4150adcb

[ "Apache-2.0" ]

47

2016-06-23T11:32:19.000Z

2022-03-01T11:34:37.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.18 on 2019-01-29 16:18 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('questions', '0036_remove_subsection'), ] operations = [ migrations.RenameField( model_name='catalog', old_name='title_en', new_name='title_lang1', ), migrations.RenameField( model_name='question', old_name='help_en', new_name='help_lang1', ), migrations.RenameField( model_name='question', old_name='text_en', new_name='text_lang1', ), migrations.RenameField( model_name='question', old_name='verbose_name_en', new_name='verbose_name_lang1', ), migrations.RenameField( model_name='question', old_name='verbose_name_plural_en', new_name='verbose_name_plural_lang1', ), migrations.RenameField( model_name='questionset', old_name='help_en', new_name='help_lang1', ), migrations.RenameField( model_name='questionset', old_name='title_en', new_name='title_lang1', ), migrations.RenameField( model_name='questionset', old_name='verbose_name_en', new_name='verbose_name_lang1', ), migrations.RenameField( model_name='questionset', old_name='verbose_name_plural_en', new_name='verbose_name_plural_lang1', ), migrations.RenameField( model_name='section', old_name='title_en', new_name='title_lang1', ), ]

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null

0

9

61164bc77f140f27555395498ad7d63ea8af6103

30,212

py

Python

sdk/python/pulumi_azure/compute/snapshot.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/compute/snapshot.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/compute/snapshot.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['SnapshotArgs', 'Snapshot'] @pulumi.input_type class SnapshotArgs: def __init__(__self__, *, create_option: pulumi.Input[str], resource_group_name: pulumi.Input[str], disk_size_gb: Optional[pulumi.Input[int]] = None, encryption_settings: Optional[pulumi.Input['SnapshotEncryptionSettingsArgs']] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, source_resource_id: Optional[pulumi.Input[str]] = None, source_uri: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a Snapshot resource. :param pulumi.Input[str] create_option: Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. :param pulumi.Input[int] disk_size_gb: The size of the Snapshotted Disk in GB. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. :param pulumi.Input[str] source_resource_id: Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. :param pulumi.Input[str] source_uri: Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. :param pulumi.Input[str] storage_account_id: Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ pulumi.set(__self__, "create_option", create_option) pulumi.set(__self__, "resource_group_name", resource_group_name) if disk_size_gb is not None: pulumi.set(__self__, "disk_size_gb", disk_size_gb) if encryption_settings is not None: pulumi.set(__self__, "encryption_settings", encryption_settings) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if source_resource_id is not None: pulumi.set(__self__, "source_resource_id", source_resource_id) if source_uri is not None: pulumi.set(__self__, "source_uri", source_uri) if storage_account_id is not None: pulumi.set(__self__, "storage_account_id", storage_account_id) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="createOption") def create_option(self) -> pulumi.Input[str]: """ Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. """ return pulumi.get(self, "create_option") @create_option.setter def create_option(self, value: pulumi.Input[str]): pulumi.set(self, "create_option", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="diskSizeGb") def disk_size_gb(self) -> Optional[pulumi.Input[int]]: """ The size of the Snapshotted Disk in GB. """ return pulumi.get(self, "disk_size_gb") @disk_size_gb.setter def disk_size_gb(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "disk_size_gb", value) @property @pulumi.getter(name="encryptionSettings") def encryption_settings(self) -> Optional[pulumi.Input['SnapshotEncryptionSettingsArgs']]: return pulumi.get(self, "encryption_settings") @encryption_settings.setter def encryption_settings(self, value: Optional[pulumi.Input['SnapshotEncryptionSettingsArgs']]): pulumi.set(self, "encryption_settings", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="sourceResourceId") def source_resource_id(self) -> Optional[pulumi.Input[str]]: """ Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. """ return pulumi.get(self, "source_resource_id") @source_resource_id.setter def source_resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_resource_id", value) @property @pulumi.getter(name="sourceUri") def source_uri(self) -> Optional[pulumi.Input[str]]: """ Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. """ return pulumi.get(self, "source_uri") @source_uri.setter def source_uri(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_uri", value) @property @pulumi.getter(name="storageAccountId") def storage_account_id(self) -> Optional[pulumi.Input[str]]: """ Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. """ return pulumi.get(self, "storage_account_id") @storage_account_id.setter def storage_account_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_account_id", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _SnapshotState: def __init__(__self__, *, create_option: Optional[pulumi.Input[str]] = None, disk_size_gb: Optional[pulumi.Input[int]] = None, encryption_settings: Optional[pulumi.Input['SnapshotEncryptionSettingsArgs']] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, source_resource_id: Optional[pulumi.Input[str]] = None, source_uri: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering Snapshot resources. :param pulumi.Input[str] create_option: Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. :param pulumi.Input[int] disk_size_gb: The size of the Snapshotted Disk in GB. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. :param pulumi.Input[str] source_resource_id: Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. :param pulumi.Input[str] source_uri: Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. :param pulumi.Input[str] storage_account_id: Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ if create_option is not None: pulumi.set(__self__, "create_option", create_option) if disk_size_gb is not None: pulumi.set(__self__, "disk_size_gb", disk_size_gb) if encryption_settings is not None: pulumi.set(__self__, "encryption_settings", encryption_settings) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if source_resource_id is not None: pulumi.set(__self__, "source_resource_id", source_resource_id) if source_uri is not None: pulumi.set(__self__, "source_uri", source_uri) if storage_account_id is not None: pulumi.set(__self__, "storage_account_id", storage_account_id) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="createOption") def create_option(self) -> Optional[pulumi.Input[str]]: """ Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. """ return pulumi.get(self, "create_option") @create_option.setter def create_option(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "create_option", value) @property @pulumi.getter(name="diskSizeGb") def disk_size_gb(self) -> Optional[pulumi.Input[int]]: """ The size of the Snapshotted Disk in GB. """ return pulumi.get(self, "disk_size_gb") @disk_size_gb.setter def disk_size_gb(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "disk_size_gb", value) @property @pulumi.getter(name="encryptionSettings") def encryption_settings(self) -> Optional[pulumi.Input['SnapshotEncryptionSettingsArgs']]: return pulumi.get(self, "encryption_settings") @encryption_settings.setter def encryption_settings(self, value: Optional[pulumi.Input['SnapshotEncryptionSettingsArgs']]): pulumi.set(self, "encryption_settings", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="sourceResourceId") def source_resource_id(self) -> Optional[pulumi.Input[str]]: """ Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. """ return pulumi.get(self, "source_resource_id") @source_resource_id.setter def source_resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_resource_id", value) @property @pulumi.getter(name="sourceUri") def source_uri(self) -> Optional[pulumi.Input[str]]: """ Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. """ return pulumi.get(self, "source_uri") @source_uri.setter def source_uri(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_uri", value) @property @pulumi.getter(name="storageAccountId") def storage_account_id(self) -> Optional[pulumi.Input[str]]: """ Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. """ return pulumi.get(self, "storage_account_id") @storage_account_id.setter def storage_account_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_account_id", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class Snapshot(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, create_option: Optional[pulumi.Input[str]] = None, disk_size_gb: Optional[pulumi.Input[int]] = None, encryption_settings: Optional[pulumi.Input[pulumi.InputType['SnapshotEncryptionSettingsArgs']]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, source_resource_id: Optional[pulumi.Input[str]] = None, source_uri: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): """ Manages a Disk Snapshot. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_managed_disk = azure.compute.ManagedDisk("exampleManagedDisk", location=example_resource_group.location, resource_group_name=example_resource_group.name, storage_account_type="Standard_LRS", create_option="Empty", disk_size_gb=10) example_snapshot = azure.compute.Snapshot("exampleSnapshot", location=example_resource_group.location, resource_group_name=example_resource_group.name, create_option="Copy", source_uri=example_managed_disk.id) ``` ## Import Snapshots can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:compute/snapshot:Snapshot example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Compute/snapshots/snapshot1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] create_option: Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. :param pulumi.Input[int] disk_size_gb: The size of the Snapshotted Disk in GB. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. :param pulumi.Input[str] source_resource_id: Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. :param pulumi.Input[str] source_uri: Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. :param pulumi.Input[str] storage_account_id: Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ ... @overload def __init__(__self__, resource_name: str, args: SnapshotArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a Disk Snapshot. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_managed_disk = azure.compute.ManagedDisk("exampleManagedDisk", location=example_resource_group.location, resource_group_name=example_resource_group.name, storage_account_type="Standard_LRS", create_option="Empty", disk_size_gb=10) example_snapshot = azure.compute.Snapshot("exampleSnapshot", location=example_resource_group.location, resource_group_name=example_resource_group.name, create_option="Copy", source_uri=example_managed_disk.id) ``` ## Import Snapshots can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:compute/snapshot:Snapshot example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Compute/snapshots/snapshot1 ``` :param str resource_name: The name of the resource. :param SnapshotArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(SnapshotArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, create_option: Optional[pulumi.Input[str]] = None, disk_size_gb: Optional[pulumi.Input[int]] = None, encryption_settings: Optional[pulumi.Input[pulumi.InputType['SnapshotEncryptionSettingsArgs']]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, source_resource_id: Optional[pulumi.Input[str]] = None, source_uri: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = SnapshotArgs.__new__(SnapshotArgs) if create_option is None and not opts.urn: raise TypeError("Missing required property 'create_option'") __props__.__dict__["create_option"] = create_option __props__.__dict__["disk_size_gb"] = disk_size_gb __props__.__dict__["encryption_settings"] = encryption_settings __props__.__dict__["location"] = location __props__.__dict__["name"] = name if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["source_resource_id"] = source_resource_id __props__.__dict__["source_uri"] = source_uri __props__.__dict__["storage_account_id"] = storage_account_id __props__.__dict__["tags"] = tags super(Snapshot, __self__).__init__( 'azure:compute/snapshot:Snapshot', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, create_option: Optional[pulumi.Input[str]] = None, disk_size_gb: Optional[pulumi.Input[int]] = None, encryption_settings: Optional[pulumi.Input[pulumi.InputType['SnapshotEncryptionSettingsArgs']]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, source_resource_id: Optional[pulumi.Input[str]] = None, source_uri: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'Snapshot': """ Get an existing Snapshot resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] create_option: Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. :param pulumi.Input[int] disk_size_gb: The size of the Snapshotted Disk in GB. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. :param pulumi.Input[str] source_resource_id: Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. :param pulumi.Input[str] source_uri: Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. :param pulumi.Input[str] storage_account_id: Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _SnapshotState.__new__(_SnapshotState) __props__.__dict__["create_option"] = create_option __props__.__dict__["disk_size_gb"] = disk_size_gb __props__.__dict__["encryption_settings"] = encryption_settings __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["source_resource_id"] = source_resource_id __props__.__dict__["source_uri"] = source_uri __props__.__dict__["storage_account_id"] = storage_account_id __props__.__dict__["tags"] = tags return Snapshot(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="createOption") def create_option(self) -> pulumi.Output[str]: """ Indicates how the snapshot is to be created. Possible values are `Copy` or `Import`. Changing this forces a new resource to be created. """ return pulumi.get(self, "create_option") @property @pulumi.getter(name="diskSizeGb") def disk_size_gb(self) -> pulumi.Output[int]: """ The size of the Snapshotted Disk in GB. """ return pulumi.get(self, "disk_size_gb") @property @pulumi.getter(name="encryptionSettings") def encryption_settings(self) -> pulumi.Output[Optional['outputs.SnapshotEncryptionSettings']]: return pulumi.get(self, "encryption_settings") @property @pulumi.getter def location(self) -> pulumi.Output[str]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Specifies the name of the Snapshot resource. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the resource group in which to create the Snapshot. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="sourceResourceId") def source_resource_id(self) -> pulumi.Output[Optional[str]]: """ Specifies a reference to an existing snapshot, when `create_option` is `Copy`. Changing this forces a new resource to be created. """ return pulumi.get(self, "source_resource_id") @property @pulumi.getter(name="sourceUri") def source_uri(self) -> pulumi.Output[Optional[str]]: """ Specifies the URI to a Managed or Unmanaged Disk. Changing this forces a new resource to be created. """ return pulumi.get(self, "source_uri") @property @pulumi.getter(name="storageAccountId") def storage_account_id(self) -> pulumi.Output[Optional[str]]: """ Specifies the ID of an storage account. Used with `source_uri` to allow authorization during import of unmanaged blobs from a different subscription. Changing this forces a new resource to be created. """ return pulumi.get(self, "storage_account_id") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags")

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null

0

8

b655edf9dd7b607a02515c766a6d86551984ed21

4,523

py

Python

app/middleware/tracers/utils/trace_wrappers.py

publichealthengland/coronavirus-dashboard-easy-read

786409d79341b4ded3c0204e7b487423681e9c28

[ "MIT" ]

1

2022-02-21T14:23:08.000Z

app/middleware/tracers/utils/trace_wrappers.py

publichealthengland/coronavirus-dashboard-easy-read

786409d79341b4ded3c0204e7b487423681e9c28

[ "MIT" ]

25

2021-01-19T13:41:36.000Z

2022-03-04T09:07:50.000Z

app/middleware/tracers/utils/trace_wrappers.py

publichealthengland/coronavirus-dashboard-easy-read

786409d79341b4ded3c0204e7b487423681e9c28

[ "MIT" ]

3

2021-04-14T11:30:22.000Z

2022-01-17T20:23:50.000Z

#!/usr/bin python3 # Imports # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Python: from logging import getLogger from functools import wraps from inspect import signature # 3rd party: from opencensus.trace.execution_context import get_opencensus_tracer from opencensus.trace.span import SpanKind # Internal: # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ __all__ = [ 'trace_async_method_operation', 'trace_method_operation' ] logger = getLogger("app") def trace_async_method_operation(*cls_attrs, dep_type="name", name="name", **attrs): def wrapper(func): sig = signature(func) @wraps(func) async def process(klass, *args, **kwargs): nonlocal sig, name, cls_attrs, attrs cls_attrs = list(cls_attrs) bound_inputs = sig.bind(klass, *args, **kwargs) tracer = get_opencensus_tracer() if tracer is None: return await func(*bound_inputs.args, **bound_inputs.kwargs) span = tracer.start_span() span.span_kind = SpanKind.UNSPECIFIED span.name = getattr(klass, name, None) if "operation" in attrs: span.name = f'{attrs.pop("operation")} {span.name}' dependency_type = getattr(klass, dep_type) span.add_attribute('dependency.type', dependency_type) if "url" in cls_attrs and dependency_type.lower() == "azure blob": cls_attrs.remove("url") span.add_attribute(f"{dependency_type}.data", getattr(klass, "url", None)) if "query" in bound_inputs.arguments: span.add_attribute(f"{dependency_type}.query", bound_inputs.arguments['query']) span.add_attribute(f"{dependency_type}.method.name", func.__name__) for key in cls_attrs: span.add_attribute(f"{dependency_type}.{key}", getattr(klass, key, None)) for key, value in attrs.items(): span.add_attribute(f"{dependency_type}.{key}", value) success = True try: return await func(klass, *args, **kwargs) except Exception as err: success = False logger.exception(err, exc_info=True) raise err finally: span.add_attribute(f'{dependency_type}.success', success) tracer.end_span() return process return wrapper def trace_method_operation(*cls_attrs, dep_type="name", name="name", **attrs): def wrapper(func): sig = signature(func) @wraps(func) def process(klass, *args, **kwargs): nonlocal sig, name, cls_attrs, attrs cls_attrs = list(cls_attrs) bound_inputs = sig.bind(klass, *args, **kwargs) tracer = get_opencensus_tracer() if tracer is None: return func(*bound_inputs.args, **bound_inputs.kwargs) span = tracer.start_span() span.span_kind = SpanKind.UNSPECIFIED span.name = getattr(klass, name, None) if "operation" in attrs: span.name = f'{attrs.pop("operation")} {span.name}' dependency_type = getattr(klass, dep_type) span.add_attribute('dependency.type', dependency_type) if "url" in cls_attrs and dependency_type.lower() == "azure blob": cls_attrs.remove("url") span.add_attribute(f"{dependency_type}.data", getattr(klass, "url", None)) if "query" in bound_inputs.arguments: span.add_attribute(f"{dependency_type}.query", bound_inputs.arguments['query']) span.add_attribute(f"{dependency_type}.method.name", func.__name__) for key in cls_attrs: span.add_attribute(f"{dependency_type}.{key}", getattr(klass, key, None)) for key, value in attrs.items(): span.add_attribute(f"{dependency_type}.{key}", value) success = True try: return func(klass, *args, **kwargs) except Exception as err: success = False logger.exception(err, exc_info=True) raise err finally: span.add_attribute(f'{dependency_type}.success', success) tracer.end_span() return process return wrapper

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0.562901

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4,523

4.997959

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null

0

7

fcaf26a4837f7a7073b300fb06847dd865b52c51

2,253

py

Python

src/weather_parser/migrations/0010_auto_20160107_0731.py

livingbio/weather-parser

8f612293a4ab436750df4bd59348faaaf90488cf

[ "MIT" ]

null

src/weather_parser/migrations/0010_auto_20160107_0731.py

livingbio/weather-parser

8f612293a4ab436750df4bd59348faaaf90488cf

[ "MIT" ]

null

src/weather_parser/migrations/0010_auto_20160107_0731.py

livingbio/weather-parser

8f612293a4ab436750df4bd59348faaaf90488cf

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9 on 2016-01-07 07:31 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('weather_parser', '0009_remove_city_airports'), ] operations = [ migrations.AlterField( model_name='airport', name='airport_id', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='altitude', field=models.FloatField(blank=True), ), migrations.AlterField( model_name='airport', name='city_name', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='content', field=models.TextField(blank=True), ), migrations.AlterField( model_name='airport', name='country_name', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='dst', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='iata', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='icao', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='latitude', field=models.FloatField(blank=True), ), migrations.AlterField( model_name='airport', name='longitude', field=models.FloatField(blank=True), ), migrations.AlterField( model_name='airport', name='name', field=models.CharField(blank=True, max_length=1024), ), migrations.AlterField( model_name='airport', name='timezone', field=models.FloatField(blank=True), ), ]

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0

1

0

1

0

null

0

7

fcafb9d3aea822046192e196061935150e9a5ca0

71

py

Python

bot/__init__.py

shauncameron/ChatBot

0b3168204788e3e44369c0a96f8e0321f74790ad

[ "Unlicense" ]

null

bot/__init__.py

shauncameron/ChatBot

0b3168204788e3e44369c0a96f8e0321f74790ad

[ "Unlicense" ]

null

bot/__init__.py

shauncameron/ChatBot

0b3168204788e3e44369c0a96f8e0321f74790ad

[ "Unlicense" ]

null

from bot.intents import * from bot.bot import * from bot.entry import *

23.666667

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71

4.5

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0.481481

0

0.15493

71

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null

0

1

0

1

0

1

0

7

fcee897f9d7d90aafca388a5892c78c84898829a

805

py

Python

src/sailing_robot/tests/test_gps_utils.py

sjdsm/sailing-robot

15789066bb6dead147fc24d763ea384454588cb0

[ "MIT" ]

87

2016-02-04T08:44:00.000Z

2022-03-19T19:53:48.000Z

src/sailing_robot/tests/test_gps_utils.py

LaurieChen/sailing-robot

840fb10d18026ea0f2ea546691c9bf958b8842d3

[ "MIT" ]

269

2016-01-29T08:19:59.000Z

2020-02-13T12:33:26.000Z

src/sailing_robot/tests/test_gps_utils.py

LaurieChen/sailing-robot

840fb10d18026ea0f2ea546691c9bf958b8842d3

[ "MIT" ]

45

2016-02-11T22:59:53.000Z

2020-12-10T02:58:50.000Z

from nose.tools import assert_equal from sailing_robot.gps_utils import ubx_checksum def test_ubx_checksum(): assert_equal(ubx_checksum(b'\x06\x01\x08\x00\xF0\x02\x00\x00\x00\x00\x00\x01'), b'\x02\x32') assert_equal(ubx_checksum(b'\x06\x01\x08\x00\xF0\x03\x00\x00\x00\x00\x00\x01'), b'\x03\x39') assert_equal(ubx_checksum(b'\x06\x01\x08\x00\xF0\x04\x00\x00\x00\x00\x00\x01'), b'\x04\x40') assert_equal(ubx_checksum(b'\x06\x01\x08\x00\xF0\x05\x00\x00\x00\x00\x00\x01'), b'\x05\x47') assert_equal(ubx_checksum(b'\x06\x01\x08\x00\xF0\x01\x00\x00\x00\x00\x00\x01'), b'\x01\x2B') assert_equal(ubx_checksum(b'\x06\x08\x06\x00\xC8\x00\x01\x00\x01\x00'), b'\xDE\x6A')

47.352941

83

0.617391

136

805

3.522059

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0.250522

0.281837

0.250522

0.649269

0.59499

0.39666

0

0.241379

0.207453

805

16

84

50.3125

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0

0.333333

0.407453

0.347826

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0.066667

true

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0.2

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null

1

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1

0

null

0

1

0

1

0

7

1e0595c5da4b3f606ac804b0b528eb1dabcc4d6e

23,877

py

Python

msgraph/cli/command_modules/usersfunctions/azext_usersfunctions/generated/custom.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

msgraph/cli/command_modules/usersfunctions/azext_usersfunctions/generated/custom.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

22

2022-03-29T22:54:37.000Z

2022-03-29T22:55:27.000Z

msgraph/cli/command_modules/usersfunctions/azext_usersfunctions/generated/custom.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: disable=line-too-long # pylint: disable=too-many-lines def usersfunctions_usersactivity_recent(client, user_id): return client.recent(user_id=user_id) def usersfunctions_userscalendarviewcalendar_allowed_calendar_sharing_role(client, user_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, event_id=event_id, user=user) def usersfunctions_userscalendarviewinstance_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userscalendarview_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_userscalendareventscalendar_allowed_calendar_sharing_role(client, user_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, event_id=event_id, user=user) def usersfunctions_userscalendareventsinstance_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userscalendarevent_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_userscalendar_allowed_calendar_sharing_role(client, user_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, user=user) def usersfunctions_userscalendargroupscalendarscalendarviewcalendar_allowed_calendar_sharing_role(client, user_id, calendar_group_id, calendar_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id, event_id=event_id, user=user) def usersfunctions_userscalendargroupscalendarscalendarviewinstance_delta(client, user_id, calendar_group_id, calendar_id, event_id): return client.delta(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id, event_id=event_id) def usersfunctions_userscalendargroupscalendarscalendarview_delta(client, user_id, calendar_group_id, calendar_id): return client.delta(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id) def usersfunctions_userscalendargroupscalendarseventscalendar_allowed_calendar_sharing_role(client, user_id, calendar_group_id, calendar_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id, event_id=event_id, user=user) def usersfunctions_userscalendargroupscalendarseventsinstance_delta(client, user_id, calendar_group_id, calendar_id, event_id): return client.delta(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id, event_id=event_id) def usersfunctions_userscalendargroupscalendarsevent_delta(client, user_id, calendar_group_id, calendar_id): return client.delta(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id) def usersfunctions_userscalendargroupscalendar_allowed_calendar_sharing_role(client, user_id, calendar_group_id, calendar_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, calendar_group_id=calendar_group_id, calendar_id=calendar_id, user=user) def usersfunctions_userscalendarscalendarviewcalendar_allowed_calendar_sharing_role(client, user_id, calendar_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, calendar_id=calendar_id, event_id=event_id, user=user) def usersfunctions_userscalendarscalendarviewinstance_delta(client, user_id, calendar_id, event_id): return client.delta(user_id=user_id, calendar_id=calendar_id, event_id=event_id) def usersfunctions_userscalendarscalendarview_delta(client, user_id, calendar_id): return client.delta(user_id=user_id, calendar_id=calendar_id) def usersfunctions_userscalendarseventscalendar_allowed_calendar_sharing_role(client, user_id, calendar_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, calendar_id=calendar_id, event_id=event_id, user=user) def usersfunctions_userscalendarseventsinstance_delta(client, user_id, calendar_id, event_id): return client.delta(user_id=user_id, calendar_id=calendar_id, event_id=event_id) def usersfunctions_userscalendarsevent_delta(client, user_id, calendar_id): return client.delta(user_id=user_id, calendar_id=calendar_id) def usersfunctions_userscalendar_allowed_calendar_sharing_role(client, user_id, calendar_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, calendar_id=calendar_id, user=user) def usersfunctions_userscalendarviewcalendarview_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userscalendarviewcalendarevent_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userscalendarviewcalendar_allowed_calendar_sharing_role(client, user_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, event_id=event_id, user=user) def usersfunctions_userscalendarviewinstance_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userscalendarview_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_userscontactfolderschildfolder_delta(client, user_id, contact_folder_id): return client.delta(user_id=user_id, contact_folder_id=contact_folder_id) def usersfunctions_userscontactfolderscontact_delta(client, user_id, contact_folder_id): return client.delta(user_id=user_id, contact_folder_id=contact_folder_id) def usersfunctions_userscontactfolder_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_userscontact_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_userseventscalendarview_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userseventscalendarevent_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_userseventscalendar_allowed_calendar_sharing_role(client, user_id, event_id, user): return client.allowed_calendar_sharing_roles(user_id=user_id, event_id=event_id, user=user) def usersfunctions_userseventsinstance_delta(client, user_id, event_id): return client.delta(user_id=user_id, event_id=event_id) def usersfunctions_usersevent_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_usersmailfolderschildfolder_delta(client, user_id, mail_folder_id): return client.delta(user_id=user_id, mail_folder_id=mail_folder_id) def usersfunctions_usersmailfoldersmessage_delta(client, user_id, mail_folder_id): return client.delta(user_id=user_id, mail_folder_id=mail_folder_id) def usersfunctions_usersmailfolder_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_usersmanagedappregistration_show_user_id_with_flagged_app_registration(client, user_id): return client.get_user_ids_with_flagged_app_registration(user_id=user_id) def usersfunctions_usersmessage_delta(client, user_id): return client.delta(user_id=user_id) def usersfunctions_user_delta(client): return client.delta() def usersfunctions_user_reminder_view(client, user_id, start_date_time, end_date_time): return client.reminder_view(user_id=user_id, start_date_time=start_date_time, end_date_time=end_date_time) def usersfunctions_user_show_managed_app_diagnostic_statuses(client, user_id): return client.get_managed_app_diagnostic_statuses(user_id=user_id) def usersfunctions_user_show_managed_app_policy(client, user_id): return client.get_managed_app_policies(user_id=user_id) def usersfunctions_usersonenotenotebookssectiongroupssectionspage_preview(client, user_id, notebook_id, section_group_id, onenote_section_id, onenote_page_id): return client.preview(user_id=user_id, notebook_id=notebook_id, section_group_id=section_group_id, onenote_section_id=onenote_section_id, onenote_page_id=onenote_page_id) def usersfunctions_usersonenotenotebookssectionspage_preview(client, user_id, notebook_id, onenote_section_id, onenote_page_id): return client.preview(user_id=user_id, notebook_id=notebook_id, onenote_section_id=onenote_section_id, onenote_page_id=onenote_page_id) def usersfunctions_usersonenotenotebook_show_recent_notebook(client, user_id, include_personal_notebooks): return client.get_recent_notebooks(user_id=user_id, include_personal_notebooks=False if include_personal_notebooks is None else include_personal_notebooks) def usersfunctions_usersonenotepage_preview(client, user_id, onenote_page_id): return client.preview(user_id=user_id, onenote_page_id=onenote_page_id) def usersfunctions_usersonenotepagesparentnotebooksectiongroupssectionspage_preview(client, user_id, onenote_page_id, section_group_id, onenote_section_id, onenote_page_id1): return client.preview(user_id=user_id, onenote_page_id=onenote_page_id, section_group_id=section_group_id, onenote_section_id=onenote_section_id, onenote_page_id1=onenote_page_id1) def usersfunctions_usersonenotepagesparentnotebooksectionspage_preview(client, user_id, onenote_page_id, onenote_section_id, onenote_page_id1): return client.preview(user_id=user_id, onenote_page_id=onenote_page_id, onenote_section_id=onenote_section_id, onenote_page_id1=onenote_page_id1) def usersfunctions_usersonenotepagesparentsectionpage_preview(client, user_id, onenote_page_id, onenote_page_id1): return client.preview(user_id=user_id, onenote_page_id=onenote_page_id, onenote_page_id1=onenote_page_id1) def usersfunctions_usersonenotesectiongroupsparentnotebooksectionspage_preview(client, user_id, section_group_id, onenote_section_id, onenote_page_id): return client.preview(user_id=user_id, section_group_id=section_group_id, onenote_section_id=onenote_section_id, onenote_page_id=onenote_page_id) def usersfunctions_usersonenotesectiongroupssectionspage_preview(client, user_id, section_group_id, onenote_section_id, onenote_page_id): return client.preview(user_id=user_id, section_group_id=section_group_id, onenote_section_id=onenote_section_id, onenote_page_id=onenote_page_id) def usersfunctions_usersonenotesectionspage_preview(client, user_id, onenote_section_id, onenote_page_id): return client.preview(user_id=user_id, onenote_section_id=onenote_section_id, onenote_page_id=onenote_page_id) def usersfunctions_usersoutlook_supported_language(client, user_id): return client.supported_languages(user_id=user_id) def usersfunctions_usersoutlook_supported_time_zone_ee48(client, user_id): return client.supported_time_zones_ee48(user_id=user_id) def usersfunctions_usersoutlook_supported_time_zones51_c6(client, user_id, time_zone_standard): return client.supported_time_zones51_c6(user_id=user_id, time_zone_standard=time_zone_standard)

50.694268

143

0.402898

1,571

23,877

5.65436

0.094844

0.116177

0.06079

0.077001

0.772712

0.747608

0.71316

0.702578

0.687493

0.661939

0

0.001807

0.559618

23,877

470

144

50.802128

0.842986

0.020941

0

0.801749

0

1

0.169096

false

0

0.169096

0.338192

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

7

1e470937a2165ae6c56c74eb71ccb89fc2b0db23

40

py

Python

molecule/shared/tests/rustup_default.py

chasinglogic/ansible-rustup

ae947dd1138b27eeb884ce64a0d8e262e7c9d4fc

[ "MIT" ]

10

2020-06-12T09:21:42.000Z

2022-03-30T06:17:00.000Z

molecule/shared/tests/rustup_default.py

chasinglogic/ansible-rustup

ae947dd1138b27eeb884ce64a0d8e262e7c9d4fc

[ "MIT" ]

7

2020-02-26T22:01:21.000Z

2022-01-26T20:52:46.000Z

molecule/shared/tests/rustup_default.py

chasinglogic/ansible-rustup

ae947dd1138b27eeb884ce64a0d8e262e7c9d4fc

[ "MIT" ]

7

2020-01-24T04:37:15.000Z

2022-03-28T13:30:56.000Z

def get_user_home(): return "/root"

13.333333

20

0.65

6

40

4

1

0

0.2

40

2

21

20

0.75

0

0.125

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

94ef2201dabd59c892b51bdcc370c043e5f1e349

4,147

py

Python

src/blockchain_users/camille.py

MikitaSaladukha/my-blockchain

c09091762dc559d41b8aa29fbe8267aff834a57c

[ "Apache-2.0" ]

4

2021-11-14T17:16:03.000Z

2022-03-17T21:01:42.000Z

src/blockchain_users/camille.py

MikitaSaladukha/my-blockchain

c09091762dc559d41b8aa29fbe8267aff834a57c

[ "Apache-2.0" ]

null

src/blockchain_users/camille.py

MikitaSaladukha/my-blockchain

c09091762dc559d41b8aa29fbe8267aff834a57c

[ "Apache-2.0" ]

5

2021-07-30T14:27:37.000Z

2021-12-15T12:08:46.000Z

private_key = b'0\x82\x04\xa4\x02\x01\x00\x02\x82\x01\x01\x00\xa1\x02M\xa7\x01A\x1e\xa0e\x11\x9f@\x07\x9b\x8e\x18\xb3\xf3Tj\x9a\xac\xb4\xa5\xfdy\xa1\x90\xcb\x05,]\xf8\xf4i\xd0\re\x9c\x98\x17\xa5\x9a$;\xc7\x81\xda\x15\xdf^\xd5\xcd\xe5(\x04Un(?\xa6 ]\x1cv\xc2\x90\xb32\xedAR6Dj\xd1/V\xa7\xf2\xb0nd\xfdU#r\xbcw_z\xc2\xd16|\xa7\x98\x16\xce\x01\t\x80\xa3:\x14\xb3\x95"Qn\x02>\x8aD\xd9\r[\xa9\xcf\xd3#\x1b\ni\xef\xe9\xe8-t\x89=\x04 \xfb\x8b\xb7\x96\x1b\xa0\xe5\xd0Mi}\x98\xb9f\x9e\\\r\xbc\xd8\x0b\x99B\xd6\xe7v\xe0\x89\xfb\xb5\xcd\xe7\xc1v\x84X\xfcw\x8bt!\xfd\xc0\xeb\xebn\x01\xc4\xb2_t\xde\xf4\xc4\x9b\x7f\xa7\xea\xce\xc5\x82\xfd\x03\x05Ap\xd5\xedl#\xbf\x9d9\xb8\xaf\xfa\x10N$\xa5"\xc1b\xa7\xe2\x01\x83Db\xb4\xe5\xbdU02{\xb6\x14\x90sX\xe7[\xb5#J\x12+F\x05Pq\x0e\x17\x8d\x03\x05X\xa0\xd8\xe2\xd5R\x83\x02\x03\x01\x00\x01\x02\x82\x01\x00\x05\xca\xb4\xebd\x86\xa8\xa8\xe1i\xdc^+\xc7\xe39-C\xfc\r\xe7\xa9}\xc8\x18\xd1\xa6\xc7\xb4\x1d\xe8\x06+]\xf3nz\x04\xe58\xade\x16!\xe6\x8a\x9b7\xb2\xa0\xb9\xe3\x1c\x08y\xc3\x8a%/\xcavY\xe4\xaf\x90\xf0\x17\xcfrn\ts\x01#\xbd\xe9\xefw\x81\x0c _\xa0?b\xb0\'@\xf3TZp\xa6\xa0\xfc\xa3\xf4\xbb!F\xf5F\x0c\xd9\x1a\x84\x89AVG\x8cJ\x1e\xa42`\xa2"\xfe(\\\xb3l\xd0\xf9\xc1\xe2\xc9\xad2\xe9\xbe\x91\x829\xdc\x8f\xe7n\xdfv\xbc\x81\nW\xd0\xf1"<9\xa22\xfc@?\xe5\xad:\xe9\xb1\xfdzOjx\r\xcbv\xc3C\n,\xf3\xb0u\x8e\x8c\x90\x90\xa4\xdbr\xe4\xc9f\xae\x1b\x99A]b\x98\x11\xc9Z\x9f\xb0^\x19 O\xd3\xda\x11NJ!\xd05\xa1\x92\x1c\xb8iFOn\xbd\xf4j\xbf\xc6\x81\xebV\x89Bu\xd4%z\xff\xf8$\xa3\xcdZ`n\x9e\xca\xddpj\xde\xba\x98\xfd\xa8\xc9\xe4;<?\xe6\xa5\x02\x81\x81\x00\xc6\xd0\xed\xa7 \x1eL\xb6\xfb\x05\xdb\xc3K\x96J8\xe3\xafKi\xbeB\x13! \x9b\x00\xa8\x94{s\xe4\x8f\xc1\xd1j\xb3TL\xeb\x9d\xf7\x8b\x8e\xf7\xe0\x8c\xff!\xd6:*\xbe\x8b\xe5\xeb\xf5\xac\x87\x95\xd3\xc1\xdb\xae\x14\x91\x00\xa1\xa7\x1ch\xb5\xf1\x80\xd6E\r\xa6\x1e\xd8H]\x8a\xb9Q\xe5 z\x80\x06\xd6\xa3Z\x18\xe3\xa6\xe1z\xa0\xff\x87TK\x19\xf2g \x9bQ@!>U\x0e\xdc\xad\xe82\x13\xd0\x97\x12-\xb5\x08\xa3\xa5\x07\x02\x81\x81\x00\xcfQ\x97$\x9e-\xb9\x9f\x7fs\x12\x9f\xedt\x17\xa1!\xec\x85c\r\xc4\x03\xfem\xfb%\xca\xf3i\xde=\xce\xf4D\xf1\x16$\x01\x9deA\x06?\xa2b\xff\xcd\x10\xec\x82\xdfb\xabL\xe5\x0b\xda4\xab\x03}a\xe9\x82\xcap\x0fV\x97\xce\xa1\xa1b\x95c5\xa2\x99\x90\x9aMA\x8dI;\x85\x96\xc3etwPw\xc5\xba\x89%$\xfe\x96O\xddaO\xd9\x1e\r\xcdH\xc2\xb2@\x0b\x8a\xcd\xd4\x05\xf8\xde\xd78\xb6\x04x\xd4#\xa5\x02\x81\x80CX\xd2\xa8"A!Kz\x8c\xe9|\xa6F*\xaeJ\xb2>\xa1{Iv\xa1j"\x17\x7f\x03\x8d.\x1c\xe6u\x892\xd3\xbcb\xb2\r\xb8\xa5\x15\xb0\xf1\xe7\xd1$\xed$\x97\x06$\xed\xa5\x98z\xf1\x12\xd7\xc0{a\xe4\xa5\x99\xc9(\x8a\x7f\r\xe2\xd8\xf9\xbc:{cGp{\xffY\xf7[\xde<\xa0\xd1\xb03uy\xa8\xe4\x06\xcd;lS\xb3B\x1do\xf7o\x1c-\xd1\xc3q\x11\xef\x0e\xe1\xfa\x1d\xbc\x88\x94$\x1cG\x8e\xbd\xa0Q\x02\x81\x81\x00\x86t\x0c\xc8\xd3\xc9%\xd4Z,\xc0\x0cvLO2\xd24y\xc1f\xe1\x14\x12\x033\xd9+\xc97\x84\xc9\xa3\x19jH\xcc\xaa\']\xf3\x97\xfb<s\xcd.\xc6\xc8\xce\n\x86c\x90b\xfb<\xf7\x94&\xc0\xc9\xa5!s\x10e"\x9do0\xb4D]\x123XJ\x8e\xbbhF\xe8W\x80\x02\x19>P\x94\xd0\xb6\xbc\xba \xc3<D\x99\xbc~\xb1g\n\xc0e8\x07\x8dv=\xc6\xaa\xa0\x91\xb1\xb1j\xfa\x1fS\x87U\x0c\x8blQ}\x02\x81\x81\x00\xa9\xdeM\xb8\xec\xba\x0c4,\xa8\xb0\xb3J\xc9\x19\xe9\x1f\x13z1\xb1\xdbI<\xa8%\x05\xf1\x80\xeb\x90\x8e\x8d\xc9\xb7\xbb\x19\xa64\xb5\xa1\xfb\xa4\xc9\xea\x1e6\xac\x82-7\xee0\xb6Mt\xf4\xd9\xcf\x7f\x91\xeb\xa4\xa3o{\x8fB\xc8\x05\xbe:qq\xcb\xd5cg\xa8<\x8e\xfc\x02\x7fFuE\xc4\xe6\xb9\x8fID\xb3\xadeG\x17\x01V\x00\x7fy\x8d\xee\x85\x8a\x87K~\x13\xb7\xbe\xd41\xcf\x8a\x18\x9eF@\x81\x08\x97Y\x9c\xf3\xb6' public_key_hex = "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" public_key_hash = "7681c82af05a85f68a5810d967ee3a4087711867"

1,036.75

3,477

0.775741

810

4,147

3.961728

0.448148

0.009349

0.011218

0.014958

0

0.309034

0.00434

4,147

3

3,478

1,382.333333

0.468152

0

1

0.595129

0.591271

0

1

0

false

0

null

0

1

0

1

0

1

0

1

null

0

7

94f7e3b28e28b7ad147d4f222f143231449e7e24

42

py

Python

part23/mylib/__init__.py

ThomasAlbin/SpaceScienceTutorial

9ca5c1340480a29a112dec91e075b7ee2eff38ed

[ "MIT" ]

167

2020-04-21T21:04:14.000Z

2022-03-29T15:07:52.000Z

part23/mylib/__init__.py

wellyington/SpaceScienceTutorial

9ca5c1340480a29a112dec91e075b7ee2eff38ed

[ "MIT" ]

11

2020-05-19T18:49:24.000Z

2021-06-08T01:51:29.000Z

part23/mylib/__init__.py

wellyington/SpaceScienceTutorial

9ca5c1340480a29a112dec91e075b7ee2eff38ed

[ "MIT" ]

41

2020-05-03T06:13:17.000Z

2022-02-12T17:32:51.000Z

from . import tests from . import general

14

21

0.761905

6

42

5.333333

0.666667

0.625

0

0.190476

42

2

22

21

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

a204f3c2dcd7a02a37691e1e8bf29659e575aed8

234

py

Python

server/loggerConfig.py

C3RV1/Prive

dc866902d3f581965e8c06a7c494ae757caff78d

[ "MIT" ]

2

2019-07-08T12:35:10.000Z

2019-07-08T12:35:15.000Z

server/loggerConfig.py

C3RV1/Prive

dc866902d3f581965e8c06a7c494ae757caff78d

[ "MIT" ]

null

server/loggerConfig.py

C3RV1/Prive

dc866902d3f581965e8c06a7c494ae757caff78d

[ "MIT" ]

null

spaces = 40 def name_and_message(name, message): # [NAME] + " "*(((40 - (len(name) + 2)) > 0) * (spaces - (len(name) + 2))) * message return "[" + name + "]" + " "*(((spaces - (len(name)+2)) > 0)*(spaces-(len(name)+2))) + message

33.428571

96

0.512821

31

234

3.806452

0.322581

0.237288

0.271186

0.355932

0.508475

0

0.052632

0.188034

234

6

97

39

0.568421

0.350427

0

0.02

0

1

0.333333

false

0

0.333333

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

7

a206ad7ec009a4f471307f1abbfdf0806b9f3b1c

300

py

Python

znail/ui/api/disciplines/__init__.py

Risca/znail

01c94465a4bd5d48c1f0e7c4f339138b3a1d0a6f

[ "Apache-2.0" ]

15

2019-10-23T07:02:35.000Z

2022-03-07T08:33:18.000Z

znail/ui/api/disciplines/__init__.py

Risca/znail

01c94465a4bd5d48c1f0e7c4f339138b3a1d0a6f

[ "Apache-2.0" ]

8

2019-12-11T12:02:03.000Z

2021-10-15T20:38:18.000Z

znail/ui/api/disciplines/__init__.py

Risca/znail

01c94465a4bd5d48c1f0e7c4f339138b3a1d0a6f

[ "Apache-2.0" ]

4

2019-11-19T21:32:52.000Z

2021-08-22T17:19:27.000Z

import znail.ui.api.disciplines.packet_corruption import znail.ui.api.disciplines.packet_delay import znail.ui.api.disciplines.packet_duplication import znail.ui.api.disciplines.packet_loss import znail.ui.api.disciplines.packet_rate_control import znail.ui.api.disciplines.packet_reordering # noqa

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bf68a2e89ba03d96149cab5b5f44ea528cd94744

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py

Python

free-speech-django/app/migrations/0009_auto_20160804_2214.py

BerkeleyAutomation/free-speech

5e046d1f856deb13ff8fd1a68e861d687fdc8705

[ "MIT" ]

null

free-speech-django/app/migrations/0009_auto_20160804_2214.py

BerkeleyAutomation/free-speech

5e046d1f856deb13ff8fd1a68e861d687fdc8705

[ "MIT" ]

null

free-speech-django/app/migrations/0009_auto_20160804_2214.py

BerkeleyAutomation/free-speech

5e046d1f856deb13ff8fd1a68e861d687fdc8705

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.7 on 2016-08-04 22:14 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pcari', '0008_auto_20160804_2137'), ] operations = [ migrations.AddField( model_name='generalsetting', name='main_comment_description', field=models.CharField(default='Please write your comment below', max_length=500), ), migrations.AddField( model_name='generalsetting', name='main_feedback_description', field=models.CharField(default="At the end you'll have a chance to give us more feedback", max_length=500), ), migrations.AddField( model_name='generalsetting', name='main_graph_description', field=models.CharField(default='The plots below show the average trend of the ratings.', max_length=500), ), migrations.AddField( model_name='generalsetting', name='main_landing_description', field=models.CharField(default="Join others to amplify Philippine's collective intelligence", max_length=500), ), migrations.AddField( model_name='generalsetting', name='main_peer_evaluation_description', field=models.CharField(default='How important is this issue?', max_length=500), ), migrations.AddField( model_name='generalsetting', name='main_question_description', field=models.CharField(default="Please grade Philippine government's effectiveness on:", max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_begin_button', field=models.CharField(default='Begin', max_length=10), ), migrations.AddField( model_name='generalsetting', name='secondary_comment_description', field=models.CharField(default='Please write your comment below', max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_feedback_description', field=models.CharField(default="At the end you'll have a chance to give us more feedback", max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_graph_description', field=models.CharField(default='The plots below show the average trend of the ratings.', max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_landing_description', field=models.CharField(default="Join others to amplify Philippine's collective intelligence", max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_next_button', field=models.CharField(default='Next', max_length=10), ), migrations.AddField( model_name='generalsetting', name='secondary_peer_evaluation_description', field=models.CharField(default='How important is this issue?', max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_post_button', field=models.CharField(default='Post', max_length=10), ), migrations.AddField( model_name='generalsetting', name='secondary_question_description', field=models.CharField(default="Please grade Philippine government's effectiveness on:", max_length=500), ), migrations.AddField( model_name='generalsetting', name='secondary_skip_button', field=models.CharField(default='Skip', max_length=10), ), migrations.AddField( model_name='generalsetting', name='secondary_submit_button', field=models.CharField(default='Submit', max_length=10), ), migrations.AlterField( model_name='generalsetting', name='main_language', field=models.CharField(choices=[('English', 'English'), ('Tagalog', 'Tagalog')], default='English', max_length=15), ), ]

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bf7ee142eb9c6ebac6b32546ce24c9c3e8da3baf

213

gyp

Python

binding.gyp

cstur/catnodeclient

f0529100fdaadcdfdfc033619e45733afda1014a

[ "Apache-2.0" ]

null

binding.gyp

cstur/catnodeclient

f0529100fdaadcdfdfc033619e45733afda1014a

[ "Apache-2.0" ]

null

binding.gyp

cstur/catnodeclient

f0529100fdaadcdfdfc033619e45733afda1014a

[ "Apache-2.0" ]

null

{"targets": [{"target_name": "ccat","sources": [ "./src/addon/msg.c","./src/addon/ccat.cc","./src/addon/socket.c","./src/addon/m.c","./src/addon/manager.c","./src/addon/gettimeofday.c","./src/addon/snprintf.c"]}]}

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bf8b8ba6ab6fa0cb97bba8219ce5009e1b598a6f

14,470

py

Python

SmartMedApp/backend/modules/PredictionModule.py

vovochkab/SmartMed

123540263db8ec2225e7bb0ea949ba96a8c5d4f3

[ "Apache-2.0" ]

2

2020-10-05T18:03:46.000Z

2020-11-15T18:54:53.000Z

SmartMedApp/backend/modules/PredictionModule.py

vovochkab/SmartMed

123540263db8ec2225e7bb0ea949ba96a8c5d4f3

[ "Apache-2.0" ]

2

2021-09-25T15:20:19.000Z

2021-09-26T15:56:52.000Z

SmartMedApp/backend/modules/PredictionModule.py

vovochkab/SmartMed

123540263db8ec2225e7bb0ea949ba96a8c5d4f3

[ "Apache-2.0" ]

7

2020-09-07T17:28:54.000Z

2021-10-01T14:32:18.000Z

import pandas as pd import numpy as np import sklearn.model_selection as sm import sklearn.preprocessing as sp from .ModuleInterface import Module from .dash import PredictionDashboard from .ModelManipulator import ModelManipulator from .dataprep import PandasPreprocessor class PredictionModule(Module, PredictionDashboard): def _prepare_data(self): prep = {'fillna': self.settings['preprocessing'], 'encoding': 'label_encoding', 'scaling': False} dict_pp = { 'preprocessing': prep, 'path': self.settings['path'], 'fillna': self.settings['preprocessing'] } self.pp = PandasPreprocessor(dict_pp) self.pp.preprocess() return self.pp.df def _prepare_dashboard_settings(self): if self.settings['model'] == 'linreg': names = self.pp.df.columns.tolist() names.remove(self.settings['variable']) self.df_X = pd.DataFrame() for name in names: self.df_X = pd.concat([self.df_X, self.pp.df[name]], axis=1) self.df_X = self.pp.get_numeric_df(self.df_X) # похоже что работает и без этого, но на всякий случай оставлю df_cat = self.pp.get_categorical_df(self.df_X) names_cat = df_cat.columns.tolist() if len(names_cat) > 0: df_dum = pd.get_dummies(df_cat, prefix=[names_cat]) self.df_X = pd.concat([self.df_X, df_dum], axis=1) self.df_Y = self.pp.df[self.settings['variable']] dfX_train, dfX_test, dfY_train, dfY_test = sm.train_test_split( self.df_X, self.df_Y, test_size=0.3, random_state=42) self.df_X_train = dfX_train self.df_X_test = dfX_test self.df_Y_train = dfY_train self.df_Y_test = dfY_test self.model = ModelManipulator( x=self.df_X_train, y=self.df_Y_train, model_type=self.settings['model']).create() self.model.fit() self.mean = sum(dfY_test) / len(dfY_test) settings = dict() # prepare metrics as names list from str -> bool settings['path'] = [] settings['preprocessing'] = [] settings['model'] = [] settings['metrics'] = [] settings['y'] = [] settings['x'] = self.pp.df.columns.tolist() for metric in self.settings.keys(): if metric == 'model': settings['model'] = self.settings['model'] elif metric == 'path': settings['path'] = self.settings['path'] elif metric == 'preprocessing': settings['preprocessing'] = self.settings['preprocessing'] elif metric == 'variable': settings['y'] = self.settings['variable'] settings['x'].remove(self.settings['variable']) elif self.settings[metric]: settings['metrics'].append(metric) prep = {'fillna': self.settings['preprocessing'], 'encoding': 'label_encoding', 'scaling': False} dict_pp = { 'preprocessing': prep, 'path': self.settings['path'], 'fillna': self.settings['preprocessing'] } settings['data'] = dict_pp elif self.settings['model'] == 'logreg': names = self.pp.df.columns.tolist() names.remove(self.settings['variable']) self.df_X = pd.DataFrame() for name in names: self.df_X = pd.concat([self.df_X, self.pp.df[name]], axis=1) self.df_X = self.pp.get_numeric_df(self.df_X) df_cat = self.pp.get_categorical_df(self.df_X) names_cat = df_cat.columns.tolist() if len(names_cat) > 0: df_dum = pd.get_dummies(df_cat, prefix=[names_cat]) self.df_X = pd.concat([self.df_X, df_dum], axis=1) numerics_list = {'int16', 'int32', 'int', 'float', 'bool', 'int64', 'float16', 'float32', 'float64'} #self.df_Y = self.pp.df[self.settings['variable']] df_Y = self.pp.df[self.settings['variable']] print('first', type(df_Y), df_Y.dtype, df_Y.nunique()) print(df_Y) if df_Y.nunique() == 2: print('12') self.df_Y = df_Y else: if df_Y.dtype not in numerics_list: print('23') labelencoder = sp.LabelEncoder() df_Y = labelencoder.fit_transform(df_Y) mean_Y = df_Y.mean() df_Y1 = df_Y print('type', type(df_Y1)) for i in range(len(df_Y)): if df_Y[i] < mean_Y: df_Y1[i] = 0 else: df_Y1[i] = 1 self.df_Y = pd.Series(df_Y1) print('second', type(self.df_Y), self.df_Y.dtype, self.df_Y.nunique()) print(self.df_Y) dfX_train, dfX_test, dfY_train, dfY_test = sm.train_test_split(self.df_X, self.df_Y, test_size=0.3, random_state=42) self.df_X_train = dfX_train self.df_X_test = dfX_test self.df_Y_train = dfY_train self.df_Y_test = dfY_test self.model = ModelManipulator( x=self.df_X_train, y=self.df_Y_train, model_type=self.settings['model']).create() self.model.fit() self.mean = sum(dfY_test) / len(dfY_test) settings = dict() # prepare metrics as names list from str -> bool settings['path'] = [] settings['preprocessing'] = [] settings['model'] = [] settings['metrics'] = [] settings['y'] = [] settings['x'] = self.pp.df.columns.tolist() for metric in self.settings.keys(): if metric == 'model': settings['model'] = self.settings['model'] elif metric == 'path': settings['path'] = self.settings['path'] elif metric == 'preprocessing': settings['preprocessing'] = self.settings['preprocessing'] elif metric == 'variable': settings['y'] = self.settings['variable'] settings['x'].remove(self.settings['variable']) elif self.settings[metric]: settings['metrics'].append(metric) prep = {'fillna': self.settings['preprocessing'], 'encoding': 'label_encoding', 'scaling': False} dict_pp = { 'preprocessing': prep, 'path': self.settings['path'], 'fillna': self.settings['preprocessing'] } settings['data'] = dict_pp elif self.settings['model'] == 'roc': names = self.pp.df.columns.tolist() names.remove(self.settings['variable']) self.df_X = pd.DataFrame() #self.df_Y = self.pp.df[self.settings['variable']] for name in names: self.df_X = pd.concat([self.df_X, self.pp.df[name]], axis=1) self.df_X = self.pp.get_numeric_df(self.df_X) df_cat = self.pp.get_categorical_df(self.df_X) names_cat = df_cat.columns.tolist() if len(names_cat) > 0: df_dum = pd.get_dummies(df_cat, prefix=[names_cat]) self.df_X = pd.concat([self.df_X, df_dum], axis=1) numerics_list = {'int16', 'int32', 'int', 'float', 'bool', 'int64', 'float16', 'float32', 'float64'} df_Y = self.pp.df[self.settings['variable']] #print('first', type(df_Y), df_Y.dtype, df_Y.nunique()) #print(df_Y) if df_Y.nunique() == 2: #print('12') self.df_Y = df_Y else: if df_Y.dtype not in numerics_list: #print('23') labelencoder = sp.LabelEncoder() df_Y = labelencoder.fit_transform(df_Y) mean_Y = df_Y.mean() df_Y1 = df_Y #print('type', type(df_Y1)) for i in range(len(df_Y)): if df_Y[i] < mean_Y: df_Y1[i] = 0 else: df_Y1[i] = 1 self.df_Y = pd.Series(df_Y1) #print('second', type(self.df_Y), self.df_Y.dtype, self.df_Y.nunique()) #print(self.df_Y) settings = dict() # prepare metrics as names list from str -> bool settings['path'] = [] settings['preprocessing'] = [] settings['model'] = [] settings['metrics'] = [] settings['graphs'] = [] settings['spec_and_sens'] = [] settings['spec_and_sens_table'] = [] settings['y'] = [] settings['x'] = self.pp.df.columns.tolist() for metric in self.settings.keys(): if metric == 'model': settings['model'] = self.settings['model'] elif metric == 'path': settings['path'] = self.settings['path'] elif metric == 'preprocessing': settings['preprocessing'] = self.settings['preprocessing'] elif metric == 'variable': settings['y'] = self.settings['variable'] settings['x'].remove(self.settings['variable']) elif metric == 'auc' or metric == 'diff_graphics' or metric == 'paint': settings['graphs'].append(metric) #elif metric == 'spec_and_sens': # settings['spec_and_sens'] = self.settings['spec_and_sens'] #elif metric == 'spec_and_sens_table': # settings['spec_and_sens_table'] = self.settings[ # 'spec_and_sens_table'] elif self.settings[metric]: settings['metrics'].append(metric) prep = {'fillna': self.settings['preprocessing'], 'encoding': 'label_encoding', 'scaling': False} dict_pp = { 'preprocessing': prep, 'path': self.settings['path'], 'fillna': self.settings['preprocessing'] } settings['data'] = dict_pp elif self.settings['model'] == 'polynomreg': names = self.pp.df.columns.tolist() names.remove(self.settings['variable']) self.df_X = pd.DataFrame() for name in names: self.df_X = pd.concat([self.df_X, self.pp.df[name]], axis=1) self.df_X = self.pp.get_numeric_df(self.df_X) df_cat = self.pp.get_categorical_df(self.df_X) names_cat = df_cat.columns.tolist() if len(names_cat) > 0: df_dum = pd.get_dummies(df_cat, prefix=[names_cat]) self.df_X = pd.concat([self.df_X, df_dum], axis=1) count = len(self.df_X.columns) for i in range(count): for j in range(i, count): data_list_1 = np.array(self.df_X.iloc[:, [i]]) data_list_2 = np.array(self.df_X.iloc[:, [j]]) data_list = data_list_1 * data_list_2 if i == j: data_name = str(self.df_X.columns[i] + '^2') else: data_name = str(self.df_X.columns[i] + ' * ' + str(self.df_X.columns[j])) self.df_X.insert(len(self.df_X.columns), data_name, data_list, True) self.df_Y = self.pp.df[self.settings['variable']] numerics_list = {'int16', 'int32', 'int', 'float', 'bool', 'int64', 'float16', 'float32', 'float64'} if self.df_Y.dtype not in numerics_list: labelencoder = sp.LabelEncoder() self.df_Y = labelencoder.fit_transform(self.df_Y) dfX_train, dfX_test, dfY_train, dfY_test = sm.train_test_split(self.df_X, self.df_Y, test_size=0.3, random_state=42) self.df_X_train = dfX_train self.df_X_test = dfX_test self.df_Y_train = dfY_train self.df_Y_test = dfY_test self.model = ModelManipulator( x=self.df_X_train, y=self.df_Y_train, model_type='polyreg').create() self.model.fit() self.mean = sum(dfY_test) / len(dfY_test) settings = dict() # prepare metrics as names list from str -> bool settings['path'] = [] settings['preprocessing'] = [] settings['model'] = [] settings['metrics'] = [] settings['y'] = [] settings['x'] = self.df_X.columns.tolist() for metric in self.settings.keys(): if metric == 'model': settings['model'] = self.settings['model'] elif metric == 'path': settings['path'] = self.settings['path'] elif metric == 'preprocessing': settings['preprocessing'] = self.settings['preprocessing'] elif metric == 'variable': settings['y'] = self.settings['variable'] # settings['x'].remove(self.settings['variable']) elif self.settings[metric]: settings['metrics'].append(metric) prep = {'fillna': self.settings['preprocessing'], 'encoding': 'label_encoding', 'scaling': False} dict_pp = { 'preprocessing': prep, 'path': self.settings['path'], 'fillna': self.settings['preprocessing'] } settings['data'] = dict_pp return settings def _prepare_dashboard(self): pass

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44bd3e125c481d3cf59b3f02a61a364296d5bbfe

478

py

Python

docker_manage/Environments/EnvironmentJava11.py

acdh-oeaw/docker-tools

4f0134f5220b7a78dba5adca6d6085b3379853d2

[ "MIT" ]

null

docker_manage/Environments/EnvironmentJava11.py

acdh-oeaw/docker-tools

4f0134f5220b7a78dba5adca6d6085b3379853d2

[ "MIT" ]

null

docker_manage/Environments/EnvironmentJava11.py

acdh-oeaw/docker-tools

4f0134f5220b7a78dba5adca6d6085b3379853d2

[ "MIT" ]

1

2020-06-08T07:23:34.000Z

import os from . import * class EnvironmentJava11(EnvironmentJava8, IEnvironment): def __init__(self, conf, owner): if 'DockerfileDir' not in conf : conf['DockerfileDir'] = 'java11' super(EnvironmentJava11, self).__init__(conf, owner) class EnvironmentJava9(EnvironmentJava8, IEnvironment): def __init__(self, conf, owner): if 'DockerfileDir' not in conf : conf['DockerfileDir'] = 'java11' super(EnvironmentJava11, self).__init__(conf, owner)

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478

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null

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8

7845b13f369d685672d58fe2253ce6b5cbf5f4d5

72

py

Python

CodeHS/Unit 8/8.4/createAnImage.py

nitrospam/APCSP2020

275f576036805d244c3244f3f3646951940c9575

[ "MIT" ]

null

CodeHS/Unit 8/8.4/createAnImage.py

nitrospam/APCSP2020

275f576036805d244c3244f3f3646951940c9575

[ "MIT" ]

null

CodeHS/Unit 8/8.4/createAnImage.py

nitrospam/APCSP2020

275f576036805d244c3244f3f3646951940c9575

[ "MIT" ]

null

11110000 00001111 11110000 00001111 11110000 11111111 11000011 00111100

8

0.888889

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1

0

1

0

null

1

0

1

0

8

788153333530897025d9d8b931a9024bd588f53c

2,282

py

Python

snr/std_mods/io/.controller/mappings.py

sfshaw/SNR

593b7b78a91e23e0fcb03985b72f29a66101579c

[ "MIT" ]

1

2021-03-09T21:54:56.000Z

snr/std_mods/io/.controller/mappings.py

sfshaw-calpoly/SNR

593b7b78a91e23e0fcb03985b72f29a66101579c

[ "MIT" ]

null

snr/std_mods/io/.controller/mappings.py

sfshaw-calpoly/SNR

593b7b78a91e23e0fcb03985b72f29a66101579c

[ "MIT" ]

1

2021-12-04T19:51:18.000Z

'''Mapping of pygame joystick output to values we can make sense of Examples: "pygame_name": ["name_we_use"], "pygame_name": ["name_we_use", cast_type], "pygame_name": ["name_we_use", cast_type, scale_factor], "pygame_name": ["name_we_use", cast_type, scale_factor, shift_ammount], "pygame_name": ["name_we_use", cast_type, scale_factor, shift_ammount, dead_zone], to drop a value use "pygame_name": [None], ''' lin_control_mappings = { "number": [None], "name": ["controller_name"], "axis_0": ["stick_left_x", int, 100, 0, 0], "axis_1": ["stick_left_y", int, -100, 0, 0], "axis_2": ["trigger_left", int, 50, 50, 0], "axis_3": ["stick_right_x", int, 100, 0, 0], "axis_4": ["stick_right_y", int, -100, 0, 0], "axis_5": ["trigger_right", int, 50, 50, 0], "button_0": ["button_a", bool], "button_1": ["button_b", bool], "button_2": ["button_x", bool], "button_3": ["button_y", bool], "button_4": ["button_left_bumper", bool], "button_5": ["button_right_bumper", bool], "button_6": ["button_back", bool], "button_7": ["button_start", bool], "button_8": ["button_xbox", bool], "button_9": ["button_left_stick", bool], "button_10": ["button_right_stick", bool], "dpad": ["dpad", tuple], "num_buttons": [None], "num_dpad": [None], "num_axes": [None], } win_control_mappings = { "number": [None], "name": ["controller_name"], "axis_0": ["stick_left_x", int, 100, 0, 0], "axis_1": ["stick_left_y", int, -100, 0, 0], "axis_2": ["trigger_left", int, 100, 0, 0], "axis_3": ["stick_right_y", int, 100, 0, 0], "axis_4": ["stick_right_x", int, -100, 0, 0], "axis_5": ["trigger_right", int, 100, 0, 0], "button_0": ["button_a", bool], "button_1": ["button_b", bool], "button_2": ["button_x", bool], "button_3": ["button_y", bool], "button_4": ["button_left_bumper", bool], "button_5": ["button_right_bumper", bool], "button_6": ["button_back", bool], "button_7": ["button_start", bool], "button_8": ["button_xbox", bool], "button_9": ["button_left_stick", bool], "button_10": ["button_right_stick", bool], "dpad": ["dpad", tuple], "num_buttons": [None], "num_dpad": [None], "num_axes": [None], }

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Python

code-challanges/401_code_challenges/graphs/test_depth_first.py

schoentr/data-structures-and-algorithms

535ac617a2ab32293014946b043bdb40a647d43b

[ "MIT" ]

null

code-challanges/401_code_challenges/graphs/test_depth_first.py

schoentr/data-structures-and-algorithms

535ac617a2ab32293014946b043bdb40a647d43b

[ "MIT" ]

1

2019-03-11T02:13:58.000Z

code-challanges/401_code_challenges/graphs/test_depth_first.py

schoentr/data-structures-and-algorithms

535ac617a2ab32293014946b043bdb40a647d43b

[ "MIT" ]

null

from graphs.graph import Graph def test_neighbors_one(): g = Graph() vertex_a = g.add('a') vertex_b = g.add('b') vertex_c = g.add('c') vertex_d = g.add('d') vertex_e = g.add('e') vertex_f = g.add('f') vertex_g = g.add('g') vertex_h = g.add('h') g.add_edge(vertex_a, vertex_b) g.add_edge(vertex_c, vertex_g) g.add_edge(vertex_b, vertex_c) g.add_edge(vertex_b, vertex_d) g.add_edge(vertex_e, vertex_d) g.add_edge(vertex_d, vertex_h) g.add_edge(vertex_f, vertex_h) g.add_edge(vertex_d, vertex_f) g.add_edge(vertex_d, vertex_a) actual = g.depth_first('a') assert actual == ['a', 'b', 'c', 'g', 'd', 'e', 'h', 'f'] def test_neighbors_two(): g = Graph() vertex_a = g.add('a') vertex_b = g.add('b') vertex_c = g.add('c') vertex_d = g.add('d') vertex_e = g.add('e') vertex_f = g.add('f') vertex_g = g.add('g') vertex_h = g.add('h') g.add_edge(vertex_a, vertex_b) g.add_edge(vertex_c, vertex_g) g.add_edge(vertex_b, vertex_c) g.add_edge(vertex_b, vertex_d) g.add_edge(vertex_e, vertex_d) g.add_edge(vertex_d, vertex_h) g.add_edge(vertex_f, vertex_h) g.add_edge(vertex_d, vertex_f) g.add_edge(vertex_d, vertex_a) actual = g.depth_first('d') assert actual == ['d', 'b', 'a', 'c', 'g', 'e', 'h', 'f'] def test_neighbors_three(): g = Graph() vertex_a = g.add('a') vertex_b = g.add('b') vertex_c = g.add('c') vertex_d = g.add('d') vertex_e = g.add('e') vertex_f = g.add('f') vertex_g = g.add('g') vertex_h = g.add('h') g.add_edge(vertex_a, vertex_b) g.add_edge(vertex_c, vertex_g) g.add_edge(vertex_b, vertex_c) g.add_edge(vertex_b, vertex_d) g.add_edge(vertex_e, vertex_d) g.add_edge(vertex_d, vertex_h) g.add_edge(vertex_f, vertex_h) g.add_edge(vertex_d, vertex_f) g.add_edge(vertex_d, vertex_a) actual = g.depth_first('f') assert actual == ['f', 'h', 'd', 'b', 'a', 'c', 'g', 'e']

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